Clarivy product

One controlled record from policy to decision.

Connect documents and risk signals to cited proof, explainable ML insights, visible exceptions, named review and a reconstructable outcome.

Product operating model

Start as the control layer. Expand without a core-system rewrite.

Clarivy complements lending middleware, loan origination, KYB, screening, transaction-monitoring and risk systems. It coordinates what happens between a signal and an accountable human decision.

Clarivy Review

Add control without replacing a core system

Unify documents, screening results, policy exceptions, requests for information and named human review in one governed case.

  • Case and alert triage
  • Document and contradiction review
  • Maker-checker disposition
Primary product

Clarivy Orchestrate

Coordinate the complete non-STP workflow

Connect the LOS, KYB, risk, screening and communication systems through versioned policy workflows and controlled agent teams.

  • Policy and workflow studio
  • RFI, reminders and escalation
  • Signed outcomes and callbacks

Clarivy Originate

Prepare applications for a lending system

Accept application events, map product requirements, assess readiness and hand a review-ready application to the institution’s LOS.

  • Application intake API
  • Incremental KYB requirements
  • Pre-underwriting readiness

For SME lending, start with non-STP exception review.

Clarivy receives the case from Lending Middleware and returns a controlled disposition; the LOS continues to own credit approval, offers, disbursement and servicing.

Built for review

A case file that can explain itself

Clarivy combines evidence operations with governed agentic AI and ML—accelerating review without hiding source quality, uncertainty, contradictions or human responsibility.

Authority Before Collection

Every case records its purpose, legal basis, owner, jurisdiction, and retention period before evidence work begins.

Claim-Level Evidence

Each finding keeps its source URL, exact excerpt, observation time, confidence, and tamper-evident content hash.

Contradictions Stay Visible

Conflicting claims become explicit follow-up work instead of disappearing inside an AI-generated summary.

Human Review Controls

Analysts propose evidence; reviewers verify, reject, or request follow-up while every decision remains append-only.

Governed Agentic AI and ML

Server-orchestrated specialist agents verify citations, analyze ownership, identify gaps and compose a review packet while the harness enforces permissions, provenance and human approval.

Defensible Decision Lineage

The reviewer can reconstruct who added, checked, escalated, and resolved every material claim in the case.

The evidence loop

From authority to defensible decision.

A bounded corporate workflow—not an unrestricted people-search engine.

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  1. Step 01

    Authorize the case

    Record the legal entity, recovery purpose, legal basis, owner, jurisdiction, and retention period before collection.

    Output

    Controlled case scope

  2. Step 02

    Build the evidence ledger

    Capture every material claim with its source, exact excerpt, timestamp, confidence, and content hash.

    Output

    Traceable claim set

  3. Step 03

    Review and decide

    Resolve conflicts, verify findings, and preserve named reviewer reasoning in an append-only decision lineage.

    Output

    Reviewer-ready packet