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UMNAI | Explainable Decision Intelligence
UMNAI helps organisations build, deploy and govern explainable AI decision systems for high-impact environments.
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80 % |
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DFD — Evidence and control for enterprise AI
Data Flow Defense is building an enterprise AI data-assurance gateway. Inspect source documents, record policy decisions, and check continuing eligibility at...
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80 % |
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QAi | Decision & Execution Assurance for Consequential AI
QAi independently verifies consequential actions from versioned authority and AI recommendation through attributable human decision and executed outcome.
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80 % |
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LogicStack · Explainable AI Decision Engine
LogicStack combines rule engines with logical reasoning to deliver traceable, auditable, and explainable decision intelligence for financial risk, legal comp...
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80 % |
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MarketClair — AML decision infrastructure
Reconstruct, verify and prove every AML decision, months after it was made.
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80 % |
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OutboundFix — Know which accounts deserve your sales capacity
Commercial Decision Infrastructure for B2B sales teams. Evaluate accounts against your policy and get evidence-backed PASS, RESEARCH_MORE or KILL decisions.
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80 % |
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Sensevia — Customer support decision layer
Conversational AI for sales and support — chat, voice, phone calls, and every channel your customers use.
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80 % |
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Waken — Trust takes proof.
Independent assurance for AI in financial crime. Evaluate KYC and EDD decisions, expose policy failures, and build the evidence for human sign-off.
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80 % |
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Dossier Secure Enterprise: Decisions you can prove
An evidence architecture for consequential decisions.
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79 % |
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Alexandria Ramirez — Reviewable by Design
An audit trail is not an auditable system. Finance operator translating the AI build layer into systems finance teams can trust, govern, and operate.
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79 % |
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Notary Cloud - Externally Verifiable Records for AI Decisions
Externally verifiable AI decision records that survive runtime change, for FinCEN AML/CFT, EU AI Act Article 12, and OSFI E-23 examination evidence.
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79 % |
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Elliot — Independent systems research
Elliot's independent systems research across secure AI, cryptographic trust, privacy infrastructure and deterministic worlds.
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79 % |
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Casuist | Auditable legal AI
A grounding and provenance layer that makes legal AI output auditable at proposition level.
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79 % |
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Themisure. The autonomous underwriter.
Themisure is an AI-native autonomous underwriting company. A system of AI agents makes the binding loan decision end to end, grounded in policy and the appli...
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79 % |
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WhoActs — Verifiable business authority
Define, issue and verify precise evidence of who may act for an organisation—and exactly what they may do.
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78 % |
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Inteleto — AI Agents That Cite Their Evidence
Build AI agents that answer only from your own documents and cite the exact passage behind every claim. Grounded retrieval, enforced blueprints, and a full a...
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78 % |
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Huqan — Deterministic Trust Boundary for AI Agents
Huqan is a local-first, deterministic trust boundary for AI claims, memory and actions.
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78 % |
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Xworks™ — Verification Infrastructure for Fragmented Physical Supply Chains
Xworks is verification infrastructure for fragmented physical supply chains. It checks whether operational evidence supports PPWR, EUDR, DPP and DIWASS claim...
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78 % |
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JCLABS
JCLABS PTE. LTD. is a Singapore consulting firm working in finance, defence, and entertainment. We build the evidence a decision rests on, and write down wha...
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78 % |
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EdQuantify — The system of truth for enterprise AI
Trusted answers, governed action, and defensible proof — from the systems you already run.
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78 % |
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