Cognous Platform | Powered by ISS and Navalia
Cognous Platform

The platform beneath enterprise AI — powered by ISS and Navalia.

The Cognous Platform is where AI work is executed, optimized, governed, and delivered. Two working components carry it: the ISS substrate, which makes reasoning stable and economical beneath any model, and Navalia, which turns raw signal into verified, evidence-linked intelligence. Both run on the same governance spine.

Explore ISS Explore Navalia
Two
working components
Any model
OpenAI, Anthropic, Google, open
Pilot-ready
pre-revenue, and we say so
Where the platform sits

One layer between your applications and the models.

Cognous does not replace models, data platforms, or applications. It sits between them and governs how AI work is executed — carrying state forward, holding constraints, and recording lineage, regardless of which model runs underneath.

Enterprise applications, agents, and workflows
Cognous Platform
ISS substrate
Governed reasoning

Persistent frame, continuity anchor, constraint surface, and lineage-preserving update. Reasoning becomes computation rather than improvisation.

Control plane
Authority and admissibility

Identity, authority scope, and policy evaluated before a consequential action reaches a system of record.

Navalia
Applied intelligence

Detection, verification, clustering, and synthesis of material change — delivered as evidence-linked briefings.

Model providers — OpenAI, Anthropic, Google, open models

Model-agnostic. Architecture-level. Integrates without rebuilding the existing stack.

What the platform provides

Six governance surfaces, present at every step.

These are not features bolted onto output. They are the conditions under which AI work is allowed to proceed.

I
Identity

Every action is attributable to an agent, a delegating human, and the authority under which it ran.

II
Authority scope

What an agent may propose is declared in advance and evaluated before execution, not reviewed afterward.

III
State

Working context persists across calls, so the system stops rebuilding what it already knew.

IV
Lineage

Each result is traceable to the step that produced it and the constraints in force at the time.

V
Inspection

Reasoning is recorded as inspectable state changes, not an opaque completion.

VI
Certification

Certified, checked, refused, revoked — deterministic refusal is a primitive.

Economics

Measured by cost per accepted deliverable.

The platform target is not tokens per call. It is the total cost of reaching a stable, acceptable, reviewable result — the metric that actually appears on an enterprise P&L.

30–50%
Estimated token reduction

Best estimate for long, high-context enterprise exchanges. A testable hypothesis, not a measured result.

Use case
Estimated reduction
Claim posture
General enterprise AI workflows
20–40%
Conservative; defensible without extensive benchmarking
Long, high-context exchanges
30–50%
Best estimate for business positioning
Correction-heavy corpus or agentic workflows
up to 60%
Benchmarkable upside, not a measured result

These ranges are modeled estimates drawn from the ISS token-economics analysis, not measured benchmarks. Cognous states this explicitly: the numbers are testable hypotheses pending controlled workflow benchmarking.

Open Control Stack

The public reference layer, published alongside the platform.

Explore the stack

Where the platform is the commercial layer enterprises license, Open Control Stack is the open, vendor-neutral reference infrastructure Cognous publishes in public — four artifacts that declare, control, replay, and evidence agent behavior under Apache 2.0. Adopting it requires no vendor agreement.

Bring the platform to a real workflow.

Pilot-ready. Model-agnostic. Working software behind both components.

Talk to Cognous See how it works