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Cognivra AI

Enterprise AI FinOps · Knowledge Reuse · Governance

The Intelligence Layer for Enterprise AI

Cognivra sits between your employees and your AI models — governing spend, reusing knowledge, and turning every interaction into institutional intelligence.

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In stealthPre-launch. Shared with prospective partners and investors.

$3T

Enterprise AI spend by 2035

50–60%

Of enterprise queries are near-duplicates

2×

ROI in year one, on cost alone

The Problem

Enterprise AI is exploding. The management tools don't exist.

01

Runaway Costs

AI inference costs grow 100x–1,000x faster than prices fall. Enterprises are spending millions monthly, with zero controls.

02

Duplicate Queries

Thousands of employees independently ask the same questions. Every interaction starts from zero, wasting tokens and time.

03

Lost Intelligence

Every AI prompt contains valuable IP. Today that knowledge disappears. There is no institutional memory.

04

Zero Governance

Sensitive data enters AI systems with no audit trails, compliance controls, or policy enforcement.

Architecture

Every request flows through the control plane.

INPUTEmployee QueryChat, copilot, agent or internal appCOGNIVRA CONTROL PLANEEntitlement pre-filterICP-001Semantic match & reuseICP-002Scoped transform & redactionICP-003Spend gate · metering · auditModel-agnostic. Nothing leaves ungoverned.REPOSITORY HIT · 60%Prior answer servedZero token spendROUTED · 40%LLM routerMetered, attributed callSYSTEM OF RECORDEnterprise Knowledge BasePermission-scoped institutional memory

EXPLORE THE LAYER

Click any stage in the diagram to see what it does and what it handled last month, or trace a single request through the layer end to end.

  • REUSED · NO TOKEN SPEND
  • ROUTED · METERED
  • RETURN · AUDITED

REQUEST TRACE

  1. Nothing traced yet. Run a request to watch it pass through each stage.

Model-agnostic by design. Cognivra does not build a model — it governs, meters, and reuses across every model. Three provisional patents filed with the USPTO.

Capabilities

Six functions, one layer, every request.

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Semantic Query Reuse

Identifies near-duplicate prompts and returns prior answers instantly, entitlement-checked per requester.

Intelligent Model Routing

Routes easy tasks to cheap models and reserves premium LLMs for genuine complexity.

Enterprise Knowledge Graph

Converts every interaction into reusable, searchable institutional IP rather than disposable output.

AI Spend Attribution

Cost visibility by employee, department, project and business unit, metered at the token.

Governance & Compliance

Policy enforcement, sensitive-data detection and a complete audit trail on every request.

Productivity Analytics

Measures whether AI usage is actually creating business value, department by department.

Defensible IP

Three filed patents. One per pillar.

A naive semantic cache reuses answers without asking who is requesting them. Cognivra checks entitlements first, then reuses only the portion the requester is cleared to see.

  • ICP-001

    Controls the spend

    Reserve-then-settle spend gate with an entitlement pre-filter for data safety.

  • ICP-002

    Reuses the spend

    Repository-first reuse: checks prior answers before routing, then books an avoided-spend ledger.

  • ICP-003

    Scopes the reuse

    Redacts, masks and re-derives a prior answer to each user's permission scope.

See what your AI spend actually looks like.

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