383 applications
An executive AI opportunity portfolio and operating-model decision system that helps financial institutions pick, fund, sequence, and govern AI bets across value creation, operations, competition,…
Digital market-entry orchestrator that sequences payments localization, service localization, and local-language support so startups and scaleups compete in new countries in weeks without putting…
CIO-grade AI use-case portfolio that scores opportunities against Gartner’s commonalities, purpose mix, and make/buy/outsource modes so enterprises stop collecting demos and start funding sequenced…
A pre-deployment smart-contract scanner that turns EVM bytecode into color images and returns multi-label compiler-bug classifications in seconds, so protocol teams catch immutable defects before…
A federated learning control plane that issues, meters, and audits differential-privacy budgets so hospitals and banks can train shared models without centralising raw patient or customer records.
An economic-impact measurement system that decomposes AI’s contribution to GDP into productivity versus consumption-side channels — by sector, region and assumption set — so ministers and boards can…
An agent-assist that suggests proactive investigative questions in live chat — with multi-turn dialogue memory and auto-filled placeholders — while the human agent always clicks to send.
Value-aware e-commerce ranking that maps user actions to monetized conversion rates (XVR) and uses reinforcement learning to maximise expected profit of the recommendation list—not just CTR or RMSE.
A collaborative learning coordinator for IoT fleets that trains deep models on Gaussian-projected samples so device owners improve shared intelligence without handing the coordinator raw sensor data.
A five-gate AI proof-of-concept workbench that takes image recognition, NLP, and predictive-maintenance ideas from opportunity confirmation through data profiling, architecture, business-value…
Prospira is Canada’s AI prosperity operating system — coordinating federal and provincial action across fuelling the AI economy, preparing Canadians for change, and mitigating risk — with hard gates…
A trust and fractional-ownership control plane for art and alternative collectible assets that binds provenance evidence, custody events, risk scores, and investor share registers—so art-finance…
A bill of materials for the data and model inputs that drive supply chain decisions — every labelled dataset, sensor feed and licensed data product carried as a traceable component with its…
Goal-based course preparation recommendations that suggest the next preparatory courses for any target class, personalized to a student’s transcript and zone of proximal development.
A real-time ECG biometric gate that verifies a living person in about one second from a three-second finger-plate capture, so facilities and clinical systems stop trusting forgeable badges and…
An ML business-case ledger that estimates and tracks first-year ROI across revenue, time/efficiency, and capital-savings benefits against data, people, and vendor investment costs — then prioritises…
Structured take-offs and governed rates — no bid leaves until humans confirm every AI line.
A white-label control plane for vertical ai-data marketplaces that onboard providers in situ, price proprietary and commons assets, and compose modular network capabilities so operators ship a…
An enterprise quantum experimentation desk that inventories optimization/sampling/ML candidate problems, runs API-accessible annealer/simulator pilots, and maintains short- and long-term quantum…
Product and data-value audit that forces brands to prove relevance, cognitive load, and fair data exchange — so digital offerings earn the right to stay in customers’ lives instead of shouting for…
An enterprise AI value portfolio that forces every initiative onto five growth levers and five enablers—so leadership funds fabric-level AI that compounds learning, not isolated pilots that expire.
A blockchain-style consensus layer that merges on-device anomaly models only after peer self-attestation, so large fleets of identical industrial IoT nodes keep learning without letting early…
A plan-marketing engine that recovers each subscriber’s dynamic consumption utility via tractable Inverse Reinforcement Learning, then counterfactually prices quotas and overage so offers match true…
An indication-level interpretation layer for digital radiography that returns each casting or weld indication as a measured pixel extent, scoped to the exact part family and radiographic technique…