Predictiv AI（PAI）株式概要シフト・テクノロジー・カナダ社 & ハウススタック・ホールディングス社 詳細PAI ファンダメンタル分析スノーフレーク・スコア評価0/6将来の成長0/6過去の実績0/6財務の健全性4/6配当金0/6報酬過去 1 年間で収益は651.5%増加しましたリスク分析キャッシュランウェイが1年未満である 収益が 100 万ドル未満 ( CA$89K )意味のある時価総額がありません ( CA$16M )すべてのリスクチェックを見るPAI Community Fair Values Create NarrativeSee what others think this stock is worth. Follow their fair value or set your own to get alerts.Your Fair ValueCA$Current PriceCA$0.148.9k% 割高 内在価値ディスカウントEst. Revenue$PastFuture-9m89k2016201920222025202620282031Revenue CA$88.5kEarnings CA$10.7kAdvancedSet Fair ValueView all narrativesFeatured narrative•Software opportunityZenaTechabout 2 months ago author updated this narrativeJOFair Value from Jolt_CommunicationsUS$6.8569.3% 割安 内在価値ディスカウントZenaTech: 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 narrative3.3kusers have viewed this narrative9users have liked this narrative0users have commented on this narrative77users have followed this narrativeRead narrativePredictiv AI Inc. 競合他社AirIQSymbol: TSXV:IQMarket cap: CA$15.1mAdcoreSymbol: TSX:ADCOMarket cap: CA$15.2mProspect Prediction MarketsSymbol: TSXV:MKTMarket cap: CA$21.7mNowVertical GroupSymbol: TSXV:NOWMarket cap: CA$17.6m価格と性能株価の高値、安値、推移の概要Predictiv AI過去の株価現在の株価CA$0.1452週高値CA$2.6552週安値CA$0.12ベータ-0.151ヶ月の変化-3.57%3ヶ月変化8.00%1年変化n/a3年間の変化n/a5年間の変化-84.21%IPOからの変化-97.27%最新ニュースお知らせ • 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.最新情報をもっと見るRecent updatesお知らせ • 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.株主還元PAICA SoftwareCA 市場7D-3.6%-4.1%1.1%1Yn/a-42.4%34.2%株主還元を見る業界別リターン: PAIがCanadian Software業界に対してどのようなパフォーマンスを示したかを判断するにはデータが不十分です。リターン対市場: PAI Canadian市場に対してどのようなパフォーマンスを示したかを判断するにはデータが不十分です。価格変動Is PAI's price volatile compared to industry and market?PAI volatilityPAI Average Weekly Movement8.9%Software Industry Average Movement10.4%Market Average Movement10.3%10% most volatile stocks in CA Market17.9%10% least volatile stocks in CA Market4.1%安定した株価: PAI 、 Canadian市場と比較して、過去 3 か月間で大きな価格変動はありませんでした。時間の経過による変動: 過去 1 年間のPAIのボラティリティの変化を判断するには データが不十分です。会社概要設立従業員CEO（最高経営責任者ウェブサイト1994n/aSuman Pushparajahwww.predictiv.aiShift Technologies Canada Inc. & HouseStack Holdings Inc.はカナダに本社を置く。もっと見るPredictiv AI Inc. 基礎のまとめPredictiv AI の収益と売上を時価総額と比較するとどうか。PAI 基礎統計学時価総額CA$15.98m収益（TTM）-CA$8.94m売上高(TTM)CA$88.52k180.5xP/Sレシオ-1.8xPER（株価収益率PAI は割高か？公正価値と評価分析を参照収益と収入最新の決算報告書（TTM）に基づく主な収益性統計PAI 損益計算書（TTM）収益CA$88.52k売上原価CA$633.65k売上総利益-CA$545.13kその他の費用CA$8.39m収益-CA$8.94m直近の収益報告Dec 31, 2025次回決算日該当なし一株当たり利益（EPS）-0.076グロス・マージン-615.82%純利益率-10,095.28%有利子負債／自己資本比率89.3%PAI の長期的なパフォーマンスは？過去の実績と比較を見るView Valuation企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/05/11 05:45終値2026/05/08 00:00収益2025/12/31年間収益2025/12/31データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレーク本レポートを生成するために使用した分析モデルの詳細は当社のGithubページでご覧いただけます。また、レポートの使用方法に関するガイドやYoutubeのチュートリアルも掲載しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋Predictiv AI Inc. 0 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。0
Featured narrative•Software opportunityZenaTechabout 2 months ago author updated this narrativeJOFair Value from Jolt_CommunicationsUS$6.8569.3% 割安 内在価値ディスカウントZenaTech: 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 narrative3.3kusers have viewed this narrative9users have liked this narrative0users have commented on this narrative77users have followed this narrativeRead narrative
お知らせ • 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.
お知らせ • 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.
