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…
- Updated
- Workflow Automation
- Document Intelligence
383 applications
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 mission-capacity system for government back offices that measures what share of paid hours goes to mandatory transactional and compliance work, drives that share down with the full set of offload…
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.
Telco CRM that scores every subscriber’s near-real-time network experience and triggers care or retention outreach before a care-center call — and before churn.
A retail recommendation OS that embeds products, shopping trips, and customers into three vector folds so merchandisers can serve substitutes, basket completion, and profile-targeted offers from the…
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 decision-rights and override ledger for ai-assisted work that grades each use case's earned autonomy by what it can explain and prove, then measures whether the human's override added or destroyed…
A mixture-distance service that computes Chain Rule Optimal Transport (CROT) metrics between statistical mixtures — giving ML and ranking teams tractable, metric distances and tight upper bounds…
A per-order fulfilment path controller for segmented, asset-light supply chains: it activates the specific set of owned and borrowed nodes a customer segment's promise requires, refuses paths that…
A visualization design recommender that learns how analysts actually chart data — recommending chart type and encodings from dataset features so business users get sensible charts without mastering…
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…
A government AI decision-accountability system that binds advisory models to ethics codes, human-in-the-loop roles, legal constraints, and auditable citations so public bodies can use machine…
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 public-sector AI ethics and anticipatory-governance workspace that turns Deloitte/WGS dilemmas, seven design principles, and accountability questions into enforceable review gates before…
A city mobility transition OS that plans the two-level AI shock—self-driving fleets replacing taxis then personally owned cars—against public transit demand, MaaS packaging, and displaced driver…