Reported Earnings • 10h
Full year 2025 earnings released: €0.05 loss per share (vs €0.10 loss in FY 2024) Full year 2025 results: €0.05 loss per share (improved from €0.10 loss in FY 2024). Revenue: €47.8m (up 59% from FY 2024). Net loss: €5.69m (loss narrowed 43% from FY 2024). Revenue is forecast to grow 6.1% p.a. on average during the next 3 years, compared to a 10% growth forecast for the Software industry in Germany. Over the last 3 years on average, earnings per share has increased by 61% per year but the company’s share price has only increased by 26% per year, which means it is significantly lagging earnings growth. お知らせ • Jun 15
Expert.ai S.p.A., Annual General Meeting, Jun 29, 2026 Expert.ai S.p.A., Annual General Meeting, Jun 29, 2026, at 15:30 W. Europe Standard Time. Buy Or Sell Opportunity • Jan 08
Now 23% undervalued Over the last 90 days, the stock has risen 12% to €1.82. The fair value is estimated to be €2.38, however this is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has declined by 7.2% over the last 3 years. Earnings per share has grown by 54%. Revenue is forecast to grow by 28% in a year. Earnings are forecast to grow by 95% in the next year. お知らせ • Nov 26
Expert.ai Presents EIX-Customer Screening for Intelligent Adverse News Monitoring in the Financial Sector Expert.ai released its enhanced solution for helping banks and financial institutions continuously monitor and analyze media coverage related to potential criminal activity or investigations involving customers. Available through the EidenAI Suite, Expert.ai's ecosystem of AI tools and solutions designed for industry, EIX-Customer Screening leverages advanced technologies to reinforce anti-money laundering (AML) programs and help organizations adopt a more proactive Know Your Customer (KYC) approach. With financial crime on the rise and regulatory requirements becoming increasingly stringent, EIX- Customer Screening automates the monitoring and analysis of news related to customers and counterparties--in real time and on a global scale. The solution significantly reduces false positives, streamlines oversight activities and improves operational efficiency. Powered by a Hybrid AI approach that combines cutting-edge capabilities, EIX-Customer Screened processes large volumes of multilingual news and unstructured data to help teams quickly detect critical events and adverse media, such as criminal activity, investigations or legal proceedings while drastically reducing false positives. The solution also supports sanctions screening and identification of politically exposed persons (PEPs), enhancing compliance and due diligence workflows for better accuracy and security. EIX-Customer Screening sets a new standard for AML and KYC programs. Built on Expert.ai's extensive technological expertise, deep domain knowledge and years of experience serving leading banking and financial organizations, the solution offers enhanced support for analysts by enabling: Continuous monitoring and analysis of global information flows (news, corporate records, regulatory lists, etc.) to deliver a complete, 360deg view of customer risk; Intelligent detection and classification across 60+ crime categories; Extraction of contextual data (e.g., age, role, location of individuals involved); Customizable relevance and risk scoring with up to 90% reduction in false positives, enabling teams to focus on true risks and accelerate AML investigations and customer onboarding; Screening against major global sanctions lists (UN, EU, OFAC, etc.) and PEP Checks and automatic generation of reports, alerts and summaries for AML/KYC teams. EIX-Customer Screened supports both large institutions and small organizations, making it easy to scale monitoring across the entire customer portfolio or targeted segments. The solution is available and integrates seamlessly with leading compliance platforms. お知らせ • Oct 15
Expert.ai Strengthens Its Offering for the Insurance Industry with Advanced AI Solutions Expert.ai announced significant enhancements to its insurance solutions available through the EidenAI Suite. The updates further strengthen Expert.ai's position as the trusted AI partner for insurers, MGAs, brokers and TPAs, delivering measurable value across core insurance functions and helping organizations accelerate processes, reduce risk and enable scalability across operations. The improved offering includes three specialized solutions that deliver measurable value across core insurance functions. All are available as turnkey and highly customized deployments with built-in governance and monitoring capabilities to ensure safe, transparent and compliant adoption of AI: AI-Powered Underwriting: Accuracy and speed in underwriting are essential for competitive advantage. EIX-Underwriting leverages its proven Hybrid AI approach to streamline data extraction from unstructured documents and risk evaluation, ensuring scalable performance even during peak demand periods. All commercial lines, both admitted and E&S, are supported. Claims Automation: Designed to eliminate bottlenecks in high-volume, document-intensive claims environments, Expert.ai's EIX-Claims Automation solution intelligently classifies and extracts critical data from incoming documents, speeding resolutions, reducing leakage, and improving customer satisfaction. The solution includes legal demand identification and medical summarization. Policy Servicing Automation: Outdated servicing processes often slow operations and create low customer satisfaction. Through EIX-Policy Servicing, Expert.ai helps teams automate workflows, such as endorsement, audit and renewal processing, end-to-end, while enhancing compliance, reducing operational costs and improving service delivery with intelligent, auditable processes. お知らせ • Oct 07
Expert.ai Introduces New AI Solutions to Accelerate Pharma & Life Sciences Innovation Expert.ai announced the debut of its new AI-powered offerings designed to accelerate innovation across the pharmaceutical, healthcare and life sciences industries. Launched at BioTechX Europe 2025, Europe's largest congress dedicated to pharma & healthcare, the new solutions enable organizations to enhance data analysis, streamline discovery processes and unlock new possibilities for clinical trials and therapeutic improvement: EIX-Submission Readiness empowers teams to build smarter, more efficient workflows for regulatory documentation. EIX-Preclinical Document Intelligence streamlines preclinical documentation with greater speed and accuracy, free experts to focus on innovation. EIX-Clinical Trials Intelligence helps research teams to distill the most accurate, up-to-date information by disrupting across mountains of content from clinical registries, scientific publications and real-world data. EIX-IP Detection delivers comprehensive, explainable insights across patents, scientific literature and clinical trial data. Leveraging its deep domain expertise and unique hybrid AI approach, Expert.ai helps researchers transform the complexity of research & development into strategic advantage. By reducing manual effort and scaling insights from massive volumes of data, the new solutions use the most effective AI techniques to ensure regulatory accuracy, improve trial design, accelerate patient recruitment, reduce costs and minimize the constant risks of delays. With these innovations, Expert.ai continues to set the standard for applying AI in Pharma & Life Sciences, delivering greater efficiency and reliability across the life sciences value chain through intelligent document automation and AI agents. お知らせ • Sep 12
Expert.Ai Launches Enhanced Solutions for Digital Information Services Expert.ai presents enhanced AI-powered solutions purpose-built for Digital Information Services. In data-saturated landscape, information services organizations must quickly convert vast, diverse streams of both structured and unstructured information into clear, actionable insights. Expert.ai empowers this transformation through advanced Hybrid AI capabilities that automate classification, entity and relationship extraction, tagging and semantic enrichment, similarity detection, and personalized recommendations. By extending content usability, Expert.ai maximizes the value of data, simplifying its governance and supporting continuous innovation through the best of diverse AI techniques -- including neuro-symbolic AI, AI agents, LLMs and the broader Generative AI ecosystem -- all tailored to extract meaning from complexity. Transforming how information services teams operate, Expert.ai streamlines workflows, enabling professionals to focus on high-value tasks, accelerate insight generation and repurpose knowledge across domains. New Expert.ai solutions for Digital Information Services include: EIX-Insight Discovery to cut through the noise, automatically identify meaningful insights from high-volume, high-complexity data sources and support research, editorial and business intelligence functions. EIX-Boosting Audience Engagement to use advanced personalization and intelligent content tagging to deliver more relevant, resonant experiences across channels, driving engagement and measurable growth. EIX-Insight Repurposing to transform previously published content and internal knowledge into new, high-value content assets, streamlining editorial operations and amplifying return on existing data. These new solutions are part of the EidenAI Suite, Expert.ai's modular AI ecosystem designed to support industry-specific challenges in media, insurance, pharma and life sciences, banking, financial services and more. With built-in explainability, governance and seamless integration, EidenAI Suite empowers organizations to scale language-based intelligence with speed, safety and precision. お知らせ • May 13
Expert.ai S.p.A., Annual General Meeting, May 27, 2025 Expert.ai S.p.A., Annual General Meeting, May 27, 2025, at 15:00 W. Europe Standard Time. お知らせ • Apr 08
Expert.ai S.p.A. (BIT:EXAI) entered into a non-binding agreement to acquire 40% stake in Villanova Project from Tiscali Italia S.p.A. Expert.ai S.p.A. (BIT:EXAI) entered into a non-binding agreement to acquire 40% stake in Villanova Project from Tiscali Italia S.p.A on April 7, 2025. The non-binding agreement provides for (i) the establishment of a newco by Tiscali (the ‘NewCo’); (ii) the transfer of the Villanova Project to NewCo, and (iii) the subsequent investment by expert.ai in NewCo. Upon completion of the Transaction, it is expected that expert.ai will hold a stake equal to not less than 40% of NewCo's share capital. The Non-Binding Agreement provides for Tiscali's commitment, until June 30, 2025 unless expert.ai informs Tiscali that it does not wish to proceed with the Transaction not to engage in negotiations or discussions concerning the Project with parties other than expert.ai.
The Transaction is contingent on the granting of any necessary authorizations by all relevant authorities and public bodies (including, but not limited to, the European Commission and MimiT) as well as the finalization of binding agreements. New Risk • Aug 05
New major risk - Shareholder dilution The company's shareholders have been substantially diluted in the past year. Increase in shares outstanding: 54% This is considered a major risk. Shareholder dilution occurs when there is an increase in the number of shares on issue that is not proportionally distributed between all shareholders. Often due to the company raising equity capital or some options being converted into stock. All else being equal, if there are more shares outstanding then each existing share will be entitled to a lower proportion of the company's total earnings, thus reducing earnings per share (EPS). While dilution might not always result in lower EPS (like if the company is using the capital to fund an EPS accretive acquisition) in a lot cases it does, along with lower dividends per share and less voting power at shareholder meetings. Currently, the following risks have been identified for the company: Major Risks Share price has been highly volatile over the past 3 months (10% average weekly change). Shareholders have been substantially diluted in the past year (54% increase in shares outstanding). New Risk • Aug 01
New major risk - Share price stability The company's share price has been highly volatile over the past 3 months. It is more volatile than 90% of German stocks, typically moving 10% a week. This is considered a major risk. Share price volatility increases the risk of potential losses in the short-term as the stock tends to have larger drops in price more frequently than other stocks. It may also indicate the stock is highly sensitive to market conditions or economic conditions rather than being sensitive to its own business performance, which may also be inconsistent. Currently, the following risks have been identified for the company: Major Risk Share price has been highly volatile over the past 3 months (10% average weekly change). Minor Risks Shareholders have been diluted in the past year (11% increase in shares outstanding). Market cap is less than US$100m (€89.5m market cap, or US$96.5m). お知らせ • Jul 27
Expert.ai S.p.A. has completed a Follow-on Equity Offering in the amount of €26.137109 million. Expert.ai S.p.A. has completed a Follow-on Equity Offering in the amount of €26.137109 million.
Security Name: Ordinary Shares
Security Type: Common Stock
Securities Offered: 23,761,008
Price\Range: €1.1
Transaction Features: Rights Offering お知らせ • May 31
Expert.ai S.p.A. announced that it expects to receive €1.2 million in funding Expert.ai S.p.A. announced a private placement to issue common shares for the gross proceeds of €1,200,000 on May 30, 2024. Reported Earnings • Apr 25
Full year 2023 earnings released Full year 2023 results: Revenue: €39.1m (up 4.2% from FY 2022). Net loss: €9.86m (loss narrowed 59% from FY 2022). Revenue is forecast to grow 6.3% p.a. on average during the next 3 years, compared to a 9.8% growth forecast for the Software industry in Germany. お知らせ • Apr 16
Expert.ai Launches Insight Engine for Life Sciences Expert.ai announced the launch of the expert.ai Insight Engine for Life Sciences. For the world of drug research and development, data is both a challenge to be managed and an opportunity to be leveraged. The ability to effectively and quickly mine scientific and biomedical content for developing new drugs and to design and operate clinical trials is more critical than ever before. The complexity of the diverse data sources that researchers depend on makes integrating, standardizing and analyzing them both challenging and time consuming. Commercial licensing and data access restrictions, as well as the lack of granularity and different taxonomies used by common search tools, further complicate the process. The convergence of these challenges in this fast-paced field impacts clinical research and delays drug development efforts, and it's precisely here that advanced AI technologies are adding significant value. Expert.ai Insight Engine for Life Sciences supports multiple use cases, including: Competitive Intelligence: Provide direct access to ongoing trials filtered for any combination of drug, indication, mechanism of action, sponsor or geography. Zoom into particular areas on the fly to gauge the competition's pipelines. Connect with both public and private research articles, research findings and emerging trends. Clinical Trial Design Optimization: Support clinical operations in optimizing the design and planning of a trial by identifying similar trials, comparing protocols, identifying suitable sites and patient populations, or assessing success criteria. This helps improve recruitment, allowing teams to compare design complexity based on inclusion/exclusion criteria and mine schedule of assessment data in protocol documents for site and patient burden assessments. Intellectual Property Protection: Automatically review patent claims against published papers and clinical trial activity, reducing the time that IP professionals spend on administrative activities and all IP-related tasks. Research Intelligence: Help researchers quickly access and analyze a vast amount of relevant information coming from biomedical and scientific literature, including full texts, speeding up the discovery and development of new drugs and therapies. As one of the finalists of the Bio-IT World"Best of Show" Awards, expert.ai will be showcasing its Insight Engine for Life Sciences at the Bio-IT World Conference & Expo in Boston (April 15-17, 2024), where a team of expert judges will view entries on site and choose winners based on the product's technical merit, functionality, innovation and in-person presentations. New Risk • Apr 16
New minor risk - Financial data availability The company's latest financial reports are more than 6 months old. Last reported fiscal period ended June 2023. This is considered a minor risk. If the company has not reported its earnings on time, it may have been delayed due to audit problems or it may be finding it difficult to reconcile its accounts. Currently, the following risks have been identified for the company: Major Risk Share price has been highly volatile over the past 3 months (13% average weekly change). Minor Risks Latest financial reports are more than 6 months old (reported June 2023 fiscal period end). Shareholders have been diluted in the past year (11% increase in shares outstanding). お知らせ • Apr 11
Expert.ai S.p.A. to Report Fiscal Year 2023 Results on Apr 24, 2024 Expert.ai S.p.A. announced that they will report fiscal year 2023 results on Apr 24, 2024 Buy Or Sell Opportunity • Mar 26
Now 26% undervalued Over the last 90 days, the stock has risen 98% to €1.64. The fair value is estimated to be €2.23, however this is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has been flat over the last 3 years. Earnings per share has declined by 36%. Revenue is forecast to decline by 5.6% in a year. Earnings are forecast to grow by 66% in the next year. Buy Or Sell Opportunity • Mar 05
Now 21% undervalued Over the last 90 days, the stock has risen 84% to €1.47. The fair value is estimated to be €1.87, however this is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has been flat over the last 3 years. Earnings per share has declined by 36%. Revenue is forecast to decline by 5.6% in a year. Earnings are forecast to grow by 67% in the next year. New Risk • Feb 09
New major risk - Revenue and earnings growth Earnings have declined by 44% per year over the past 5 years. This is considered a major risk. Ultimately, shareholders want to see a good return on their investment and that generally comes from sharing in the company's profits. If profits are declining over an extended period, then in most cases the share price will decline over time unless the company can turn around its fortunes. A trend of falling earnings can be very difficult to turn around. If the company is well already established it may also be a sign the company has matured and is in decline. In addition, if the company pays dividends it will also likely need to reduce or cut them, striking a dual blow to total shareholder returns. Currently, the following risks have been identified for the company: Major Risks Share price has been highly volatile over the past 3 months (11% average weekly change). Earnings have declined by 44% per year over the past 5 years. Minor Risks Shareholders have been diluted in the past year (11% increase in shares outstanding). Market cap is less than US$100m (€66.9m market cap, or US$72.0m). Reported Earnings • Oct 01
First half 2023 earnings released First half 2023 results: Revenue: €15.7m (down 9.5% from 1H 2022). Net loss: €7.69m (loss narrowed 48% from 1H 2022). Revenue is forecast to grow 8.4% p.a. on average during the next 3 years, compared to a 7.2% growth forecast for the Software industry in Germany. Over the last 3 years on average, earnings per share has fallen by 54% per year but the company’s share price has only fallen by 25% per year, which means it has not declined as severely as earnings. お知らせ • Sep 27
Expert.ai Unveils its Enterprise Language Model for Insurance – ELMI Expert.ai unveiled its Enterprise Language Model for Insurance – ELMI, an innovation in domain trained language models, set to help insurers reach their process automation and digital transformation goals with the higher accuracy. By simplifying and powering the interaction with language data within the expert.ai Platform for Insurance, Insurers can access solutions that scale and take advantage of deep insurance domain expertise combined with the best and most cost-effective attributes of Large Language Models (LLMs) to automate core processes. Through the expert.ai Platform for Insurance, ELMI supports key capabilities, including: Generative Summarization: generate accurate summaries, condensing vast amounts of claim or policy information into concise insights, saving time and accelerating straight through processing or human review activities. Zero Shot Extraction: extract crucial insurance data from structured/unstructured, handwritten/typed, good quality/bad quality sources with accuracy and automatically normalize output formats and add medical annotations such as ICD 9/10 medical codes. Generative Q&A: answer questions quickly so underwriters and claims handlers can extract meaningful insights from proprietary case files by asking questions using natural language queries. Unlike general knowledge large language models, ELMI is: Trained for Insurance: Eliminating the cost and complexity of training language models, ELMI is engineered with a deep understanding of the insurance domain, providing insurers with generative AI capability ready to tackle underwriting and claims processing challenges. Built for the real-world: ELMI is integrated into expert.ai end-to-end insurance solutions to meet the practical challenges of AI at scale across insurance workflows from underwriting to claims. Expert.ai purpose-built approach addresses critical shortcomings of general-purpose language models and brings the power of generative AI to improve accuracy and reduce costs. Cost Optimized: When compared to hosted token-based models, ELMI offers a more cost-effective solution, reducing expenses related to usage, hosting, running, and maintenance, while still delivering superior performance and accuracy. Secure and Compliant: ELMI is designed to ensure compliance with the most stringent governance standards and does not share sensitive insurance data. Cloud-agnostic: Offering the flexibility to deploy on any cloud infrastructure or on-premises, ELMI deployments easily meet insurer's varying requirements. Board Change • Aug 01
High number of new directors There are 6 new directors who have joined the board in the last 3 years. Founder & Deputy Chairman of the Board Stefano Spaggiari was the last director to join the board, commencing their role in 2023. The company’s lack of board continuity is considered a risk according to the Simply Wall St Risk Model. お知らせ • Jul 08
Expert.ai S.p.A., Annual General Meeting, Jul 24, 2023 Expert.ai S.p.A., Annual General Meeting, Jul 24, 2023. お知らせ • Jul 07
Expert.ai S.p.A. announced that it expects to receive €3.85 million in funding Expert.ai S.p.A. announced that it has entered into an agreement with main shareholders of the company and GUM Group Spa to issue 5,000,000 common shares at an issue price of €0.77 per share for the gross proceeds of €3,850,000 on July 6, 2023. The transaction has been approved by the shareholders of the company. As part of the transaction, Pardi joined the company as chairman. お知らせ • Jun 27
Expert.ai Launches AI Platform for Insurance to Power NLP-Driven Intelligent Process Automation Expert.ai announced availability of the expert.ai Platform for Insurance. The expert.ai Platform for Insurance powers underwriting and claims solutions so that insurers can use natural language processing to eliminate documents from review cycles, extract needed data and prioritize which submission or claims need an expedited review or to be assigned to a senior adjuster based on complexity. The expert.ai Platform For Insurance provides insurance teams with a way to automate the repetitive tasks associated with document reviews, extraction and assessments, freeing up time to focus on de-risking underwriting decisions, determining coverage and conducting preliminary claims investigations. Key platform capabilities include: Out-of-the-box data extraction for common data fields; Urgency, severity and intent routing for claims and submissions packages; Extraction of key exposure factors, e.g., coverage exclusions, limitations, pre-existing conditions, etc; Accurate summarization for human review, e.g., pre-assignment of risk grades for human validation/evaluation from property risk engineers; Data redaction for GDPR and PII (personally identifiable information), etc. Record type categorization and elimination of records from review cycles; A customizable insurance-trained language model. From submissions and claims management through policy comparison and risk engineering, the expert.ai Platform for insurance supports even the most intricate, complex and language-intensive uses cases. Expert.ai will be showcasing its Platform for Insurance during the Reuters "The Future of Insurance USA 2023" event in Chicago on June 27-28. Board Change • Jun 01
High number of new directors There are 5 new directors who have joined the board in the last 3 years. Independent Director Alan Packer was the last director to join the board, commencing their role in 2023. The company’s lack of board continuity is considered a risk according to the Simply Wall St Risk Model. Board Change • May 12
Less than half of directors are independent Following the recent departure of a director, there are only 4 independent directors on the board. The company's board is composed of: 4 independent directors. 5 non-independent directors. Independent Director Cecilia Garattini was the last independent director to join the board, commencing their role in 2022. The company's minority of independent directors is a risk according to the Simply Wall St Risk Model. お知らせ • May 05
Expert.ai Appoints Alan Packer to the Board of Directors Expert.ai announced that Alan Packer, formerly Director of Engineering for Amazon's Alexa Natural Language Understanding (NLU) team, has joined the company's board of directors. Alan's deep technical knowledge of the NLU space will be instrumental in the company's continued development of its differentiated hybrid AI approach to create NLU solutions combining knowledge-base, machine learning, and large language models (LLMs) for the enterprise. Alan Packer has nearly 30 years of applied artificial intelligence (AI) and machine learning experience in natural language technologies, speech recognition, internet-scale web services and security for both enterprise and consumer products. Prior to leading Amazon's Alexa NLU team, Alan was Director of Engineering for Facebook's Search Platform and Language Technology team where he was responsible for Search Ranking, Machine Translation, Speech Recognition and NLU technology. Previously, Alan was General Manager of the Anti-Malware team and later the Language and Intent team at Bing, building the core technology and back-end for Microsoft's personal assistant Cortana. Breakeven Date Change • Apr 08
Forecast breakeven date pushed back to 2025 The 3 analysts covering Expert.ai previously expected the company to break even in 2024. New consensus forecast suggests the company will make a profit of €1.80m in 2025. Average annual earnings growth of 85% is required to achieve expected profit on schedule. お知らせ • Feb 08
Expert.ai Announces New Features to Hybrid Natural Language Platform Expert.ai announces the release of new features for its Natural Language (NL) platform enhancing purpose-built natural language processing (NLP) workflow support. By employing a hybrid approach that combines in NL techniques – including machine learning and knowledge-based, symbolic AI – the expert.ai Platform gets the most out of unstructured data, like text in documents, applications and tools, to enable organizations create new business models, accelerate time to value and optimize processes. Natural language text understanding has advanced to among the most widely embedded AI capabilities within organizations. NLP is no longer considered experimental, but a crucial technology for creating tangible ROI and achieving competitive advantage, and hybrid NL is becoming the de-facto approach to optimize results. According to Forrester*, "Hybrid AI delivers the best results for NLP Applications. Human knowledge remains essential for many use cases, including the effective use of natural language processing (NLP)." Expert.ai's hybrid NL Platform analyzes and understands unstructured language data in vertical domains to accelerate business impact. Experience with hundreds of clients across the insurance, financial services, life science/pharmaceutical, healthcare and publishing and media verticals use NL to create competitive advantage via undervalued language data within their enterprises. Enhanced on-premise deployment options and taxonomy management are among the major updates. Deployment (on premise installation): With the expert.ai platform, organizations can accelerate their AI initiatives while fully managing the performance, security and scalability of their data and infrastructure. The new release also enables the use of Kubernetes (K8s) to store core data on-premise, implement specific security measures or comply with specific regulatory requirements while accessing the latest updates to remain current. Taxonomy: The new platform release offers the possibility of adding 3rd-party external knowledge sources to deliver NL applications to production faster with higher levels of business accuracy. Third-party knowledge sources include Unified Medical Language System (UMLS) like MeSH, ICD9 and ICD10 and specific resources like the ones provided by WAND Inc., the premier source for industry vertical taxonomies, business taxonomies and specialty domain-specific taxonomies. Additional features include: APIs: Developers can now interact with expert.ai APIs using visual documentation, making it easy for back-end implementation and client-side consumption. Development teams can now visualize and interact with the API resources using a familiar Swagger interface. Navigation of Knowledge Graphs (KGs): Resulting in customized navigation of knowledge models to quickly identify the strength of related concepts and connections. Expert.ai Platform users can now navigate all KGs within the Platform and in particular: different technical versions of Knowledge Graphs; Knowledge Graphs for CPKs in different models; Knowledge Graphs that are part of experiments run within the authoring environment; Knowledge Graph CPKs derived from the building of a Knowledge Graph Editor project. Buying Opportunity • Jan 07
Now 20% undervalued Over the last 90 days, the stock is up 10%. The fair value is estimated to be €0.72, however this is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has grown by 3.2% over the last 3 years. Earnings per share has declined by 67%. Revenue is forecast to grow by 34% in 2 years. Earnings is forecast to grow by 89% in the next 2 years. Recent Insider Transactions • Dec 21
Founder & Executive Chairman recently bought €150k worth of stock On the 19th of December, Stefano Spaggiari bought around 246k shares on-market at roughly €0.61 per share. This transaction amounted to 7.7% of their direct individual holding at the time of the trade. This was the largest purchase by an insider in the last 3 months. This was Stefano's only on-market trade for the last 12 months. Breakeven Date Change • Dec 07
Forecast to breakeven in 2024 The 3 analysts covering Expert.ai expect the company to break even for the first time. New consensus forecast suggests losses will reduce by 39% per year to 2023. The company is expected to make a profit of €1.57m in 2024. Average annual earnings growth of 83% is required to achieve expected profit on schedule. Buying Opportunity • Dec 03
Now 24% undervalued after recent price drop Over the last 90 days, the stock is down 28%. The fair value is estimated to be €0.81, however this is not to be taken as a buy recommendation but rather should be used as a guide only. Revenue has grown by 3.2% over the last 3 years. Earnings per share has declined by 67%. Revenue is forecast to grow by 47% in 2 years. Earnings is forecast to grow by 76% in the next 2 years. Board Change • Nov 16
High number of new and inexperienced directors There are 7 new directors who have joined the board in the last 3 years. The company's board is composed of: 7 new directors. 1 experienced director. No highly experienced directors. Independent Director Stefano Pedrini is the most experienced director on the board, commencing their role in 2018. The following issues are considered to be risks according to the Simply Wall St Risk Model: Lack of board continuity. Lack of experienced directors. お知らせ • Nov 10
Expert.Ai Enhances Hybrid Ai Platform and Expands Scope of Intelligent Process Automation At Scale Expert.ai announced a new version of its natural language (NL) platform featuring powerful enhancements. Combining machine learning (ML) and symbolic knowledge representation (hybrid AI), the updated platform further facilitates the design, development and deployment of language models, and accelerates production of innovative enterprise applications, through accurate language understanding at scale. Upgrades to the expert.ai award-winning platform include: Knowledge Models Fortified: Built in and ready-to-use pre-trained, rules-based models now contain expanded industry, role and use-case concepts and relationships to quickly improve the accuracy of natural language (NL) projects. Other model enhancements include updated environmental, social, governance (ESG) classification and sentiment, as well as personally identifiable information (PII) extraction. New Solutions for Pharma & Life Science: Additional knowledge models now support solutions for drug discovery, clinical trial insights, key opinion leader identification and scientific publication insight analysis. A new preclinical report analysis solution dramatically speeds up the quality control check process of reports prior to their submission to regulatory bodies. AI-driven Robotic Process Automation (RPA): The only NL, hybrid platform that integrates with UiPath, Blue Prism and Automation Anywhere, expert.ai supercharges bots with unique NL capabilities only possible by merging different AI techniques. This expands the scope of intelligent process automation across tasks requiring accurate understanding of documents for email automation, contract analytics, claims, underwriting automation and customer service support. Expanded Deployment Options: The expert.ai Platform now supports on-premise deployments of NL workflows for organizations that want complete control over data or demand it be kept on premise for security and compliance purposes. New Operational Monitoring Dashboard: Delivers improved visibility to operational metrics (i.e., CPU, memory, model performance) associated with language operations (LangOps). Expert.ai has long led the NL technologies marketplace in accuracy and capabilities with hundreds of proven deployments. Leveraging its pioneering vision towards a hybrid AI approach, expert.ai uniquely automates complex language-intensive processes to reveal meaningful data, actionable insights and improve decision making. Breakeven Date Change • Oct 16
No longer forecast to breakeven The 3 analysts covering Expert.ai no longer expect the company to break even during the foreseeable future. The company was expected to make a profit of €1.60m in 2024. New consensus forecast suggests the company will make a loss of €266.7k in 2024. Breakeven Date Change • Oct 05
No longer forecast to breakeven The 3 analysts covering Expert.ai no longer expect the company to break even during the foreseeable future. The company was expected to make a profit of €1.60m in 2024. New consensus forecast suggests the company will make a loss of €266.7k in 2024. Reported Earnings • Oct 04
First half 2022 earnings released: €0.28 loss per share (vs €0.22 loss in 1H 2021) First half 2022 results: €0.28 loss per share (further deteriorated from €0.22 loss in 1H 2021). Revenue: €18.5m (up 22% from 1H 2021). Net loss: €14.7m (loss widened 34% from 1H 2021). Revenue is forecast to grow 28% p.a. on average during the next 3 years, compared to a 8.2% growth forecast for the Software industry in Germany. Over the last 3 years on average, the company's share price growth rate has exceeded its earnings growth rate by 29 percentage points per year, which is a significant difference in performance. お知らせ • Jul 27
Expert.ai Showcases New Features for the Expert.ai Platform Expert.ai announced new features have been added to its natural language (NL) platform, enabling applications to be put into production faster, with the highest accuracy possible and at scale. New capabilities include enhanced active learning to further improve data labeling; pre-trained knowledge models to both accelerate the delivery of NL applications as well as proactively select and quickly validate the desired outputs; and expanded extraction functionalities based on auto-generation rules for extraction. Companies want to scale their use of AI but struggle to measure its value and fill the gap between technical promise and business reality. Typically, within NL, there are challenges attributed to the lack of suitable or sufficient documents for training a model. With a machine learning-only approach, tasks such as annotation and data labeling are onerous. Annotation is a human-led activity dependent on subject matter experts that determines the overall project scalability and success. The problem is that the manual selection and labeling of the right business documents is tedious as it requires extensive resources and is very time-consuming. お知らせ • Jun 10
Expert.ai and the University of Siena Launch the First Multilingual Crossword Solver Based on Artificial Intelligence Starting on June 9, 2022, even machines can solve crossword puzzles due to WebCrow 2.0, a software developed by the University of Siena in collaboration with expert.ai (EXAI:IM), a leading company in artificial intelligence (AI) for natural language processing (NLP) and understanding (NLU). For over a century, crossword puzzles have been an intriguing challenge for humans because of the complexity and nuance of the human language. This also happens to be one of the most complex and challenging areas for AI. In fact, the most advanced linguistic technologies must possess a significant breadth and depth of knowledge to identify the correct meaning of words based on context (e.g., trim a tree vs. trim on a house). They must also be able to interpret slang, catch phrases, wordplay and other forms of ambiguity (e.g., a crossword clue: liquid that does not stick, answer: scotch). WebCrow 2.0 does this and more. WebCrow 2.0 has been empowered with typical human skills to simulate human-like processes for reading, understanding, and reasoning. This allows the software to identify the meaning of words based on definitions and other clues in crossword puzzles. It accomplishes this by: Understanding: Utilizing several logical and language analysis steps focused on understanding clues. Knowledge: Finding the correct meaning requires inferences and reasoning that makes use of knowledge in various sources. Expert.ai's knowledge graph enables this with the market's richest conceptual database for understanding language. Reasoning: A combination of advanced AI, NLU with NLP, machine learning and constraint satisfaction technologies identify possible words, evaluate them and enter the answers in the puzzle grid. Board Change • Apr 27
High number of new and inexperienced directors There are 9 new directors who have joined the board in the last 3 years. The company's board is composed of: 9 new directors. 2 experienced directors. No highly experienced directors. Independent Director Stefano Pedrini is the most experienced director on the board, commencing their role in 2018. The following issues are considered to be risks according to the Simply Wall St Risk Model: Lack of board continuity. Lack of experienced directors. お知らせ • Apr 27
Expert.ai Announces the New Release of Its Purpose-Built Platform Combining Symbolic, Human-Like Comprehension and Machine Learning Expert.ai announced the new release of its purpose-built platform combining symbolic, human-like comprehension and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core features and adding unique capabilities, such as out of the box knowledge models and connectors, the new platform release increases flexibility, simplifies integration and optimizes data pipelines to augment efficiency across every process that involves natural language (NL). To scale quickly and make AI investments successful, organizations need the tools and capabilities to deliver impactful results, faster. Expert.ai has been pioneering efforts in composite, or hybrid, AI with proven-market expertise and best practices honed from hundreds of successful, real-world implementations across industries, including insurance, financial services and banking, publishing and media, defense and intelligence. Reported Earnings • Apr 24
Full year 2021 earnings released: €0.30 loss per share (vs €0.17 loss in FY 2020) Full year 2021 results: €0.30 loss per share (down from €0.17 loss in FY 2020). Revenue: €37.3m (up 6.3% from FY 2020). Net loss: €15.7m (loss widened 105% from FY 2020). Over the next year, revenue is forecast to grow 9.5%, compared to a 14% growth forecast for the industry in Germany. Breakeven Date Change • Mar 05
Forecast to breakeven in 2024 The 2 analysts covering Expert.ai expect the company to break even for the first time. New consensus forecast suggests the company will make a profit of €1.88m in 2024. Average annual earnings growth of 46% is required to achieve expected profit on schedule. お知らせ • Mar 04
Expert.ai S.p.A. to Report Fiscal Year 2021 Results on Mar 03, 2022 Expert.ai S.p.A. announced that they will report fiscal year 2021 results on Mar 03, 2022 Recent Insider Transactions • Dec 17
Founder recently sold €320k worth of stock On the 10th of December, Marco Varone sold around 140k shares on-market at roughly €2.28 per share. This was the largest sale by an insider in the last 3 months. This was Marco's only on-market trade for the last 12 months. Reported Earnings • Oct 01
First half 2021 earnings released The company reported a soft first half result with increased losses and weaker control over costs, although revenues improved. First half 2021 results: Revenue: €15.1m (up 19% from 1H 2020). Net loss: €11.0m (loss widened 260% from 1H 2020). お知らせ • Jun 23
Expert.ai Announces General Availability of New Hybrid Natural Language Platform Expert.ai announced the general availability of its Platform for designing, developing, testing, deploying and monitoring scalable natural language solutions. Easy to deploy and operate, the cloud-based expert.ai Platform helps organizations accelerate, augment and expand expertise for any job or process that involves language. By turning any text-based document into structured data, the platform supports knowledge discovery, process automation and decision making with the flexibility to design best-in-class language models for any use case. The expert.ai Platform uses an exclusive hybrid AI approach honed from hundreds of real-world implementations. Comprehensive and easy to use, it combines symbolic AI and machine learning techniques to ensure the best possible accuracy for each individual use case with transparency of explainable AI. Reported Earnings • Apr 04
Full year 2020 earnings released The company reported a poor full year result with increased losses, weaker revenues and weaker control over costs. Full year 2020 results: Revenue: €35.0m (down 7.9% from FY 2019). Net loss: €5.42m (loss widened 452% from FY 2019). Is New 90 Day High Low • Feb 03
New 90-day high: €3.10 The company is up 46% from its price of €2.13 on 05 November 2020. The German market is up 16% over the last 90 days, indicating the company outperformed over that time. It also outperformed the Software industry, which is up 14% over the same period. Is New 90 Day High Low • Oct 22
New 90-day low: €2.01 The company is down 28% from its price of €2.78 on 24 July 2020. The German market is down 3.0% over the last 90 days, indicating the company underperformed over that time. It also underperformed the Software industry, which is down 11% over the same period. According to the Simply Wall St valuation model, the estimated intrinsic value of the company is €4.72 per share. Is New 90 Day High Low • Oct 03
New 90-day low: €2.18 The company is down 25% from its price of €2.91 on 03 July 2020. The German market is up 1.0% over the last 90 days, indicating the company underperformed over that time. It also underperformed the Software industry, which is up 3.0% over the same period. According to the Simply Wall St valuation model, the estimated intrinsic value of the company is €5.01 per share. Reported Earnings • Oct 01
First half earnings released Over the last 12 months the company has reported total losses of €13.6k, with losses narrowing by 100% from the prior year. Total revenue was €36.0m over the last 12 months, up 8.0% from the prior year. Is New 90 Day High Low • Sep 18
New 90-day low: €2.36 The company is down 22% from its price of €3.02 on 19 June 2020. The German market is up 5.0% over the last 90 days, indicating the company underperformed over that time. It also underperformed the Software industry, which is up 9.0% over the same period. According to the Simply Wall St valuation model, the estimated intrinsic value of the company is €5.24 per share. お知らせ • Aug 06
Expert System S.p.A. announced that it has received $29.4 million in funding Expert System S.p.A. (BIT:EXSY) announced that it has received $29.4 million in an equity round of funding on August 5, 2020. The transaction included participation institutional investors for $20 million and $9.4 million from existing shareholders exercising shareholder option rights. 
