Predictiv AI (PAI) 주식 개요시프트 테크놀로지스 캐나다 및 하우스스택 홀딩스 Inc. 자세히 보기PAI 펀더멘털 분석스노우플레이크 점수가치 평가0/6미래 성장0/6과거 실적0/6재무 건전성4/6배당0/6강점지난 1년간 수익이 651.5% 증가했습니다.위험 분석cash runway 경력이 1년 미만입니다.수익이 USD$1m 미만입니다(CA$89K)의미 있는 시가총액이 없습니다(CA$16M)모든 위험 점검 보기PAI Community Fair Values Create NarrativeSee what others think this stock is worth. Follow their fair value or set your own to get alerts.Your Fair ValueCA$Current PriceCA$0.148.9k% 고평가 내재 할인율Est. Revenue$PastFuture-9m89k2016201920222025202620282031Revenue CA$88.5kEarnings CA$10.8kAdvancedSet Fair ValueView all narrativesFeatured narrative•Software opportunityZenaTechabout 2 months ago author updated this narrativeJOFair Value from Jolt_CommunicationsUS$6.8569.3% 저평가 내재 할인율ZenaTech: A big bet on the rise of AI drones and drones-as-a-serviceKey Takeaways ZenaTech is focusing its efforts into building AI drones, combining Drone as a Service, SaaS, and AI as its key revenue drivers. Previously building software for agriculture, ZenaTech has shifted rapidly toward drone services, now driving ~70% of revenue after recent acquisitions.Read full narrative3.2kusers have viewed this narrative9users have liked this narrative0users have commented on this narrative77users have followed this narrativeRead narrativePredictiv AI Inc. 경쟁사AirIQSymbol: TSXV:IQMarket cap: CA$16.2mAdcoreSymbol: TSX:ADCOMarket cap: CA$14.6mProspect Prediction MarketsSymbol: TSXV:MKTMarket cap: CA$17.9mNowVertical GroupSymbol: TSXV:NOWMarket cap: CA$18.1m가격 이력 및 성과Predictiv AI 주가의 최고가, 최저가 및 변동 요약과거 주가현재 주가CA$0.1452주 최고가CA$2.6552주 최저가CA$0.12베타-0.151개월 변동-12.90%3개월 변동3.85%1년 변동n/a3년 변동n/a5년 변동-82.35%IPO 이후 변동-97.27%최근 뉴스 및 업데이트공지 • Apr 17Predictiv AI Inc Announces Completion of Phase 1 of Shiftmatics Hardware PlatformPredictiv AI Inc. announced the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. Shiftmatics establishes a device-level foundation for continuous data capture, connectivity, and operational visibility. The platform captures high-frequency vehicle and environmental data—beyond traditional GPS tracking—and is supported by onboard storage and backup systems for reliability in real-world environments. Shiftmatics is being developed in stages to transition fleets from tracking to real-time intelligence and edge AI. Stages 1 & 2 (Completed): Core Data & Connectivity. Production-ready hardware platform. High-frequency location, vehicle performance, and environmental data. Telemetry including speed, fuel usage and driving behavior. Environmental sensing (temperature, pressure, humidity). On-device memory and backup power. Stage 3 (In Development): Vision-Enabled Intelligence. Integration of onboard camera systems for operational visibility. Local video storage with optimized data retrieval. Foundation for visual analytics and safety insights. Stage 4 (Future): Edge AI Infrastructure. On-device processing and real-time analysis. Transformation into intelligent edge decision nodes. Support for event detection, predictive insights, and automated responses. Reduced reliance on centralized cloud infrastructure. Evolution from tracking ? intelligence ? execution. Scalable hardware footprint for AI deployment. Foundation for automation, autonomy, and robotics-driven systems. Predictiv AI noted a broader industry shift from passive tracking toward real-time, data-driven operations. While traditional systems focus on location visibility and historical reporting, fleet operators are increasingly seeking real-time insights to improve efficiency, reduce costs, and accelerate decision-making. This shift is driving demand for platforms that not only capture data but also process and act on it in real time—enabling more responsive, intelligent, and automated workflows across fleet operations. Shiftmatics is designed to support this transition, moving from basic visibility toward integrated intelligence where data can be captured, interpreted, and used to inform operational decisions directly within fleet environments. The data generated by the Shiftmatics platform is expected to enable advanced AI-driven applications across Predictiv AI’s ecosystem. Continuous streams of operational and contextual data provide the foundation for domain-specific AI systems that support business workflows, decision-making, and automation. The Company confirmed it has received a request from an initial client to deploy its first set of Shiftmatics devices, with installation expected to begin shortly. This represents the first commercial use of the platform in a live operating environment and a key step toward broader rollout and scaling. Looking ahead, Predictiv AI is developing Shiftmatics as a foundational layer for a broader class of intelligent systems extending beyond traditional fleet management. With the introduction of onboard vision systems and edge-based processing, the platform is expected to enable real-time analysis and decision-making directly at the device level. This localized intelligence will support faster response times, reduced data transmission, and more adaptive operational systems. Over time, these capabilities are expected to enable: Event detection and real-time alerts. Driver behavior analysis. Predictive maintenance. Semi-autonomous operational workflows. Intelligent fleet coordination. The underlying architecture may also extend into adjacent applications where sensing, intelligence, and automation converge, including robotics and real-time physical systems. Shiftmatics operates as part of Predictiv AI’s broader ecosystem, alongside ShiftFleet.ai and CloudRep.ai, creating an integrated stack that connects physical operations with AI-driven insights and workflow automation.New Risk • Mar 04New major risk - Market cap sizeThe company's market capitalization is less than US$10m. Market cap: CA$13.6m (US$9.96m) This is considered a major risk. Companies with a small market capitalization are most likely businesses that have not yet released a product to market or are simply a very small company without a wide reach. Either way, risk is elevated with these companies because there is a chance the product may not come to fruition or the company's addressable market or demand may not be as large as expected. In addition, if the company's size is the main factor, it is less likely to have many investors and analysts following it and scrutinizing its performance and outlook. Currently, the following risks have been identified for the company: Major Risks Negative equity (-CA$764k). Revenue is less than US$1m (CA$12k revenue, or US$8.6k). Market cap is less than US$10m (CA$13.6m market cap, or US$9.96m). Minor Risk Share price has been volatile over the past 3 months (16% average weekly change).Board Change • Jan 12No independent directorsFollowing the recent departure of a director, there are no independent directors on the board. The company's board is composed of: No independent directors. 4 non-independent directors. CEO & Director Suman Pushparajah was the last director to join the board, commencing their role in 2025. The company's lack of independent directors is a risk according to the Simply Wall St Risk Model.더 많은 업데이트 보기Recent updates공지 • Apr 17Predictiv AI Inc Announces Completion of Phase 1 of Shiftmatics Hardware PlatformPredictiv AI Inc. announced the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. Shiftmatics establishes a device-level foundation for continuous data capture, connectivity, and operational visibility. The platform captures high-frequency vehicle and environmental data—beyond traditional GPS tracking—and is supported by onboard storage and backup systems for reliability in real-world environments. Shiftmatics is being developed in stages to transition fleets from tracking to real-time intelligence and edge AI. Stages 1 & 2 (Completed): Core Data & Connectivity. Production-ready hardware platform. High-frequency location, vehicle performance, and environmental data. Telemetry including speed, fuel usage and driving behavior. Environmental sensing (temperature, pressure, humidity). On-device memory and backup power. Stage 3 (In Development): Vision-Enabled Intelligence. Integration of onboard camera systems for operational visibility. Local video storage with optimized data retrieval. Foundation for visual analytics and safety insights. Stage 4 (Future): Edge AI Infrastructure. On-device processing and real-time analysis. Transformation into intelligent edge decision nodes. Support for event detection, predictive insights, and automated responses. Reduced reliance on centralized cloud infrastructure. Evolution from tracking ? intelligence ? execution. Scalable hardware footprint for AI deployment. Foundation for automation, autonomy, and robotics-driven systems. Predictiv AI noted a broader industry shift from passive tracking toward real-time, data-driven operations. While traditional systems focus on location visibility and historical reporting, fleet operators are increasingly seeking real-time insights to improve efficiency, reduce costs, and accelerate decision-making. This shift is driving demand for platforms that not only capture data but also process and act on it in real time—enabling more responsive, intelligent, and automated workflows across fleet operations. Shiftmatics is designed to support this transition, moving from basic visibility toward integrated intelligence where data can be captured, interpreted, and used to inform operational decisions directly within fleet environments. The data generated by the Shiftmatics platform is expected to enable advanced AI-driven applications across Predictiv AI’s ecosystem. Continuous streams of operational and contextual data provide the foundation for domain-specific AI systems that support business workflows, decision-making, and automation. The Company confirmed it has received a request from an initial client to deploy its first set of Shiftmatics devices, with installation expected to begin shortly. This represents the first commercial use of the platform in a live operating environment and a key step toward broader rollout and scaling. Looking ahead, Predictiv AI is developing Shiftmatics as a foundational layer for a broader class of intelligent systems extending beyond traditional fleet management. With the introduction of onboard vision systems and edge-based processing, the platform is expected to enable real-time analysis and decision-making directly at the device level. This localized intelligence will support faster response times, reduced data transmission, and more adaptive operational systems. Over time, these capabilities are expected to enable: Event detection and real-time alerts. Driver behavior analysis. Predictive maintenance. Semi-autonomous operational workflows. Intelligent fleet coordination. The underlying architecture may also extend into adjacent applications where sensing, intelligence, and automation converge, including robotics and real-time physical systems. Shiftmatics operates as part of Predictiv AI’s broader ecosystem, alongside ShiftFleet.ai and CloudRep.ai, creating an integrated stack that connects physical operations with AI-driven insights and workflow automation.New Risk • Mar 04New major risk - Market cap sizeThe company's market capitalization is less than US$10m. Market cap: CA$13.6m (US$9.96m) This is considered a major risk. Companies with a small market capitalization are most likely businesses that have not yet released a product to market or are simply a very small company without a wide reach. Either way, risk is elevated with these companies because there is a chance the product may not come to fruition or the company's addressable market or demand may not be as large as expected. In addition, if the company's size is the main factor, it is less likely to have many investors and analysts following it and scrutinizing its performance and outlook. Currently, the following risks have been identified for the company: Major Risks Negative equity (-CA$764k). Revenue is less than US$1m (CA$12k revenue, or US$8.6k). Market cap is less than US$10m (CA$13.6m market cap, or US$9.96m). Minor Risk Share price has been volatile over the past 3 months (16% average weekly change).Board Change • Jan 12No independent directorsFollowing the recent departure of a director, there are no independent directors on the board. The company's board is composed of: No independent directors. 4 non-independent directors. CEO & Director Suman Pushparajah was the last director to join the board, commencing their role in 2025. The company's lack of independent directors is a risk according to the Simply Wall St Risk Model.주주 수익률PAICA SoftwareCA 시장7D-3.6%-4.5%1.0%1Yn/a-42.2%34.0%전체 주주 수익률 보기수익률 대 산업: PAI의 Canadian Software 산업 대비 성과를 판단하기에 데이터가 부족합니다.수익률 대 시장: PAI의 Canadian 시장 대비 성과를 판단하기에 데이터가 부족합니다.주가 변동성Is PAI's price volatile compared to industry and market?PAI volatilityPAI Average Weekly Movement8.8%Software Industry Average Movement10.6%Market Average Movement10.3%10% most volatile stocks in CA Market17.8%10% least volatile stocks in CA Market4.0%안정적인 주가: PAI는 지난 3개월 동안 Canadian 시장에 비해 주가 변동성이 크지 않았습니다.시간에 따른 변동성: Insufficient data to determine PAI의 변동성 변화를 판단할 수 없습니다.회사 소개설립직원 수CEO웹사이트1994n/aSuman Pushparajahwww.predictiv.ai시프트 테크놀로지스 캐나다 및 하우스스택 홀딩스는 캐나다에 본사를 두고 있습니다.더 보기Predictiv AI Inc. 기초 지표 요약Predictiv AI의 순이익과 매출은 시가총액과 어떻게 비교됩니까?PAI 기초 통계시가총액CA$15.98m순이익 (TTM)-CA$8.94m매출 (TTM)CA$88.52k180.5x주가매출비율(P/S)-1.8x주가수익비율(P/E)PAI는 고평가되어 있습니까?공정 가치 및 평가 분석 보기순이익 및 매출최근 실적 보고서(TTM)의 주요 수익성 지표PAI 손익계산서 (TTM)매출CA$88.52k매출원가CA$633.65k총이익-CA$545.13k기타 비용CA$8.39m순이익-CA$8.94m최근 보고된 실적Dec 31, 2025다음 실적 발표일해당 없음주당순이익(EPS)-0.076총이익률-615.82%순이익률-10,095.28%부채/자본 비율89.3%PAI의 장기 실적은 어땠습니까?과거 실적 및 비교 보기View Valuation기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/05/07 22:29종가2026/05/07 00:00수익2025/12/31연간 수익2025/12/31데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델에 대한 자세한 내용은 당사의 Github 페이지에서 확인하실 수 있습니다. 또한 보고서 활용 방법에 대한 가이드와 YouTube 튜토리얼도 제공합니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Predictiv AI Inc.는 0명의 분석가가 다루고 있습니다. 이 중 0명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.
Featured narrative•Software opportunityZenaTechabout 2 months ago author updated this narrativeJOFair Value from Jolt_CommunicationsUS$6.8569.3% 저평가 내재 할인율ZenaTech: A big bet on the rise of AI drones and drones-as-a-serviceKey Takeaways ZenaTech is focusing its efforts into building AI drones, combining Drone as a Service, SaaS, and AI as its key revenue drivers. Previously building software for agriculture, ZenaTech has shifted rapidly toward drone services, now driving ~70% of revenue after recent acquisitions.Read full narrative3.2kusers have viewed this narrative9users have liked this narrative0users have commented on this narrative77users have followed this narrativeRead narrative
공지 • Apr 17Predictiv AI Inc Announces Completion of Phase 1 of Shiftmatics Hardware PlatformPredictiv AI Inc. announced the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. Shiftmatics establishes a device-level foundation for continuous data capture, connectivity, and operational visibility. The platform captures high-frequency vehicle and environmental data—beyond traditional GPS tracking—and is supported by onboard storage and backup systems for reliability in real-world environments. Shiftmatics is being developed in stages to transition fleets from tracking to real-time intelligence and edge AI. Stages 1 & 2 (Completed): Core Data & Connectivity. Production-ready hardware platform. High-frequency location, vehicle performance, and environmental data. Telemetry including speed, fuel usage and driving behavior. Environmental sensing (temperature, pressure, humidity). On-device memory and backup power. Stage 3 (In Development): Vision-Enabled Intelligence. Integration of onboard camera systems for operational visibility. Local video storage with optimized data retrieval. Foundation for visual analytics and safety insights. Stage 4 (Future): Edge AI Infrastructure. On-device processing and real-time analysis. Transformation into intelligent edge decision nodes. Support for event detection, predictive insights, and automated responses. Reduced reliance on centralized cloud infrastructure. Evolution from tracking ? intelligence ? execution. Scalable hardware footprint for AI deployment. Foundation for automation, autonomy, and robotics-driven systems. Predictiv AI noted a broader industry shift from passive tracking toward real-time, data-driven operations. While traditional systems focus on location visibility and historical reporting, fleet operators are increasingly seeking real-time insights to improve efficiency, reduce costs, and accelerate decision-making. This shift is driving demand for platforms that not only capture data but also process and act on it in real time—enabling more responsive, intelligent, and automated workflows across fleet operations. Shiftmatics is designed to support this transition, moving from basic visibility toward integrated intelligence where data can be captured, interpreted, and used to inform operational decisions directly within fleet environments. The data generated by the Shiftmatics platform is expected to enable advanced AI-driven applications across Predictiv AI’s ecosystem. Continuous streams of operational and contextual data provide the foundation for domain-specific AI systems that support business workflows, decision-making, and automation. The Company confirmed it has received a request from an initial client to deploy its first set of Shiftmatics devices, with installation expected to begin shortly. This represents the first commercial use of the platform in a live operating environment and a key step toward broader rollout and scaling. Looking ahead, Predictiv AI is developing Shiftmatics as a foundational layer for a broader class of intelligent systems extending beyond traditional fleet management. With the introduction of onboard vision systems and edge-based processing, the platform is expected to enable real-time analysis and decision-making directly at the device level. This localized intelligence will support faster response times, reduced data transmission, and more adaptive operational systems. Over time, these capabilities are expected to enable: Event detection and real-time alerts. Driver behavior analysis. Predictive maintenance. Semi-autonomous operational workflows. Intelligent fleet coordination. The underlying architecture may also extend into adjacent applications where sensing, intelligence, and automation converge, including robotics and real-time physical systems. Shiftmatics operates as part of Predictiv AI’s broader ecosystem, alongside ShiftFleet.ai and CloudRep.ai, creating an integrated stack that connects physical operations with AI-driven insights and workflow automation.
New Risk • Mar 04New major risk - Market cap sizeThe company's market capitalization is less than US$10m. Market cap: CA$13.6m (US$9.96m) This is considered a major risk. Companies with a small market capitalization are most likely businesses that have not yet released a product to market or are simply a very small company without a wide reach. Either way, risk is elevated with these companies because there is a chance the product may not come to fruition or the company's addressable market or demand may not be as large as expected. In addition, if the company's size is the main factor, it is less likely to have many investors and analysts following it and scrutinizing its performance and outlook. Currently, the following risks have been identified for the company: Major Risks Negative equity (-CA$764k). Revenue is less than US$1m (CA$12k revenue, or US$8.6k). Market cap is less than US$10m (CA$13.6m market cap, or US$9.96m). Minor Risk Share price has been volatile over the past 3 months (16% average weekly change).
Board Change • Jan 12No independent directorsFollowing the recent departure of a director, there are no independent directors on the board. The company's board is composed of: No independent directors. 4 non-independent directors. CEO & Director Suman Pushparajah was the last director to join the board, commencing their role in 2025. The company's lack of independent directors is a risk according to the Simply Wall St Risk Model.
공지 • Apr 17Predictiv AI Inc Announces Completion of Phase 1 of Shiftmatics Hardware PlatformPredictiv AI Inc. announced the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. Shiftmatics establishes a device-level foundation for continuous data capture, connectivity, and operational visibility. The platform captures high-frequency vehicle and environmental data—beyond traditional GPS tracking—and is supported by onboard storage and backup systems for reliability in real-world environments. Shiftmatics is being developed in stages to transition fleets from tracking to real-time intelligence and edge AI. Stages 1 & 2 (Completed): Core Data & Connectivity. Production-ready hardware platform. High-frequency location, vehicle performance, and environmental data. Telemetry including speed, fuel usage and driving behavior. Environmental sensing (temperature, pressure, humidity). On-device memory and backup power. Stage 3 (In Development): Vision-Enabled Intelligence. Integration of onboard camera systems for operational visibility. Local video storage with optimized data retrieval. Foundation for visual analytics and safety insights. Stage 4 (Future): Edge AI Infrastructure. On-device processing and real-time analysis. Transformation into intelligent edge decision nodes. Support for event detection, predictive insights, and automated responses. Reduced reliance on centralized cloud infrastructure. Evolution from tracking ? intelligence ? execution. Scalable hardware footprint for AI deployment. Foundation for automation, autonomy, and robotics-driven systems. Predictiv AI noted a broader industry shift from passive tracking toward real-time, data-driven operations. While traditional systems focus on location visibility and historical reporting, fleet operators are increasingly seeking real-time insights to improve efficiency, reduce costs, and accelerate decision-making. This shift is driving demand for platforms that not only capture data but also process and act on it in real time—enabling more responsive, intelligent, and automated workflows across fleet operations. Shiftmatics is designed to support this transition, moving from basic visibility toward integrated intelligence where data can be captured, interpreted, and used to inform operational decisions directly within fleet environments. The data generated by the Shiftmatics platform is expected to enable advanced AI-driven applications across Predictiv AI’s ecosystem. Continuous streams of operational and contextual data provide the foundation for domain-specific AI systems that support business workflows, decision-making, and automation. The Company confirmed it has received a request from an initial client to deploy its first set of Shiftmatics devices, with installation expected to begin shortly. This represents the first commercial use of the platform in a live operating environment and a key step toward broader rollout and scaling. Looking ahead, Predictiv AI is developing Shiftmatics as a foundational layer for a broader class of intelligent systems extending beyond traditional fleet management. With the introduction of onboard vision systems and edge-based processing, the platform is expected to enable real-time analysis and decision-making directly at the device level. This localized intelligence will support faster response times, reduced data transmission, and more adaptive operational systems. Over time, these capabilities are expected to enable: Event detection and real-time alerts. Driver behavior analysis. Predictive maintenance. Semi-autonomous operational workflows. Intelligent fleet coordination. The underlying architecture may also extend into adjacent applications where sensing, intelligence, and automation converge, including robotics and real-time physical systems. Shiftmatics operates as part of Predictiv AI’s broader ecosystem, alongside ShiftFleet.ai and CloudRep.ai, creating an integrated stack that connects physical operations with AI-driven insights and workflow automation.
New Risk • Mar 04New major risk - Market cap sizeThe company's market capitalization is less than US$10m. Market cap: CA$13.6m (US$9.96m) This is considered a major risk. Companies with a small market capitalization are most likely businesses that have not yet released a product to market or are simply a very small company without a wide reach. Either way, risk is elevated with these companies because there is a chance the product may not come to fruition or the company's addressable market or demand may not be as large as expected. In addition, if the company's size is the main factor, it is less likely to have many investors and analysts following it and scrutinizing its performance and outlook. Currently, the following risks have been identified for the company: Major Risks Negative equity (-CA$764k). Revenue is less than US$1m (CA$12k revenue, or US$8.6k). Market cap is less than US$10m (CA$13.6m market cap, or US$9.96m). Minor Risk Share price has been volatile over the past 3 months (16% average weekly change).
Board Change • Jan 12No independent directorsFollowing the recent departure of a director, there are no independent directors on the board. The company's board is composed of: No independent directors. 4 non-independent directors. CEO & Director Suman Pushparajah was the last director to join the board, commencing their role in 2025. The company's lack of independent directors is a risk according to the Simply Wall St Risk Model.
