A self-driving personal-finance agent that continuously optimises a household’s bills, savings, debt, and product switches across providers — under explicit suitability, explainability, and…
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- Workflow Automation
- Document Intelligence
199 applications
A self-driving personal-finance agent that continuously optimises a household’s bills, savings, debt, and product switches across providers — under explicit suitability, explainability, and…
Package scope to award, variations and payment claims — clause-cited drafts with human approval gates.
Sets session-specific prices for airline ancillaries (bags, seats, meals) by estimating purchase probability and maximising expected revenue under willingness-to-pay monotonicity.
Lock baselines, capture evidenced progress, compute CPI/SPI — AI narratives cite facts, never invent percent complete.
A task-absorption and redeployment record for augmented jobs that proves which tasks automation actually took over inside a role, how much working time came back, and where that time went — so "AI…
A board-level radar for disruptive technology decisions that scores each decision's exposure across the harms that land outside the company — human-experience commoditisation, consent adequacy,…
An insurance digital-ready control plane that governs API-led connections between systems of engagement and systems of record — so carriers and BPaaS platforms modernise policy, billing, claims, and…
A deployment toolchain that packs large CNNs into local quantization regions so resource-constrained IoT controllers run vision and speech models on-device at 8-bit down to 1-bit without shipping…
A bid-gate and process-planning system for shops running combined additive and subtractive machines, which returns a binding "we cannot make this with the tooling we own" verdict before anyone…
A network-side deep-autoencoder sentinel that learns each IoT device’s benign traffic snapshots and flags Mirai/BASHLITE-class attack execution in under a second, so enterprises can cut bots off…
A discovery-first inventory of every algorithm already influencing care or money inside a health system — including the ones nobody declared — which forces a device classification, an intended-use…
Every referral tracked from request to follow-up.
Casehorizon is a structured AI futures policy-lab platform that walks emerging public-service leaders through real domain case studies — housing screening, justice research tools, classroom…
Bring cases scattered across CRM, email and spreadsheets into one governed workflow.
A statutory casework triage and determination record for human services agencies that grades every case on risk of harm and entitlement error, routes standard determinations to automated assessment…
A sound gas-upper-bound analyser for Ethereum functions that certifies safe gas limits before users or oracles submit transactions, so contracts stop freezing under out-of-gas exceptions.
A crypto-project social-risk console that scores Ethereum-community chatter with volume-adjusted sentiment so retail and compliance teams can see fraud and hype signals before they buy or list a…
An exploit-likelihood early warning service that reads what practitioners are saying about a new vulnerability days before the National Vulnerability Database scores it, and tells a vulnerability…
A collaborative inference orchestrator that shards live vision DNNs across the cameras and Pi-class hubs already on a LAN, so homes and venues get real-time recognition without shipping video to the…
A weekly encrypted data-science competition desk where organisers release sealed datasets, data scientists submit encrypted models that keep their IP, and payouts rank by accuracy with originality…
Resolve citizen cases faster with consistent, explainable decisions.
A low-cost smart-city noise classifier that labels urban sounds (jackhammer, gunshot, street music, horns) on Raspberry Pi–class nodes using MFCC + SVM/KNN — going beyond dB maps to actionable noise…
A cost-per-action advertising exchange that settles media spend only against mutually verified conversions, so performance advertisers stop paying for bot traffic and publishers stop being shaved on…
A claims-workforce operating system that assigns every claim decision to an adjuster, a model, or a paired review based on measured *combined* accuracy, so an insurer books the human-machine…