Product
Three pillars. One governed layer.
PILLAR 01
Semantic Query Reuse
Cognivra identifies near-duplicate prompts across the entire organisation and returns the prior answer instantly, before a token is ever spent. In most enterprises, half of all queries have already been answered by someone else.
Reuse is entitlement-checked per user before an answer is served. Where a requester's permissions differ from the original asker's, the answer is redacted, masked, and re-derived to that user's scope rather than refused outright.
- Near-duplicate prompt detection across employees
- Instant return of prior answers from the repository
- Entitlement pre-filter checks each requester
- Entitlement-scoped transformation and redaction
- Avoided-spend ledger booked per reuse event
PATENTED · ICP-002 · ICP-003
PILLAR 02
AI Spend Governance
Every request is metered at the token level and attributed to an employee, department, project, and business unit. Finance gets the same granularity for AI that it already expects from cloud.
Spend gates reserve budget before a call is made and settle against actual consumption afterwards, so policies are enforced at the moment of spend rather than discovered in a month-end invoice. Every decision is written to an audit trail.
- Per-request token metering
- Department, project and business-unit attribution
- Reserve-then-settle spend gates and budget policies
- Sensitive-data detection and policy enforcement
- Full audit trail for compliance and capitalisation
PATENTED · ICP-001
PILLAR 03
Enterprise Knowledge Graph
Every interaction that passes through the layer enriches a searchable institutional memory. What was a disposable prompt becomes a durable, permission-aware asset the organisation can query later.
Because the graph knows who asked what, it also identifies internal experts by subject, and gives workflow automation a governed data foundation to build on rather than a pile of unattributed text.
- Every interaction converted into reusable IP
- Searchable institutional memory across the enterprise
- Expert identification by subject and department
- Workflow automation built on governed data
- Productivity analytics tied to business outcomes
Competitive landscape
No platform has solved the full stack.
| Capability | Cognivra AI | Helicone | Portkey | Glean | Engram |
|---|---|---|---|---|---|
| AI Spend Management | Yes | PartialPartial | PartialPartial | No | No |
| Cross-Employee Query Reuse | Yes | No | No | PartialPartial | No |
| Enterprise Knowledge Graph | Yes | No | No | Yes | No |
| Prompt / Answer Reuse | Yes | No | No | PartialPartial | PartialPartial |
| Dept. Cost Attribution | Yes | PartialPartial | No | No | No |
| Governance & Compliance | Yes | PartialPartial | PartialPartial | PartialPartial | No |
| Productivity Analytics | Yes | No | No | PartialPartial | No |
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