No AI governance
Enterprises deploying AI agents have no post-hoc audit capability. Compliance teams cannot prove what the system did, when it did it, or why.
EU AI Act enforcement is forcing the issue.
KNIRV turns enterprise AI, validation infrastructure, and exploit resolution into one coordinated platform: policy guardrails, deterministic execution, and neutral security arbitration.
Series A to scale product, distribution, and core infra.
Combined revenue target across all three tiers.
Target exit trajectory as the trust layer expands.
Investor Video
Problem
Enterprises are deploying AI into compliance-sensitive workflows without auditability, deterministic execution, or a credible dispute layer. KNIRV packages the missing infrastructure into a single network.
Enterprises deploying AI agents have no post-hoc audit capability. Compliance teams cannot prove what the system did, when it did it, or why.
EU AI Act enforcement is forcing the issue.
A 10-step AI process at 95% step accuracy still fails 40% of the time end-to-end. Without deterministic runtime, the cost of failure becomes enterprise waste.
$47 average failed call cost is the wedge.
Bug bounty, disclosure, and exploit resolution still lack chain-of-custody, neutral halt authority, and an actuarial model for payouts and sequencing.
KNIRV turns that chaos into infrastructure.
Products
Each tier can ship and sell independently. Combined, they create the full trust stack for regulated AI, validated execution, and security arbitration.
Guardrails with receipts
Prove every step
Neutral arbitration layer
Financials
The business is designed to start with the lowest-friction revenue wedge, then compound across validation infrastructure and exploit resolution.
Combined annual revenue by tier, in millions
Category-scale revenue across three independent product lines.
The platform is structured to monetize early via Tier I before heavier infra ramps.
Q4 2026 token sale cadence from the deck’s financing path.
The trust layer expands into a platform acquisition or category-defining public company outcome.
Moat
Competitors solve a slice of the problem. KNIRV owns the intersection.
| Platform | Guardrails | Validation | Security | Moat Analysis |
|---|---|---|---|---|
| KNIRV | ✓ | ✓ | ✓ | Only full-stack AI trust layer |
| ASI Alliance | ✕ | ✕ | ✕ | Speculative tokens, no enterprise validation |
| ChainGPT | ✕ | ✕ | ✕ | Consumer AI, no audit infrastructure |
| LangSmith / Humanloop | ◐ | ✕ | ✕ | Post-hoc observability, no enforcement |
| Guardrails AI | ✓ | ✕ | ✕ | App-layer only, no kernel telemetry |
| HackerOne / Bugcrowd | ✕ | ✕ | ◐ | Human-mediated, no chain-of-custody |
Policy-only tools stop short of enforcement and evidence.
Observability tools are post-hoc. KNIRV is pre-enforcement and deterministic.
Bug bounty marketplaces do not coordinate disclosures as infrastructure.
Investment
This round is about shipping the wedge, proving the network, and creating the infrastructure that makes the later expansion credible.
Patent portfolio and evidence-oriented product design.
Financial and security auditability as part of the network story.
Lead investors receive governance participation.
Hardware integrations and verifiable execution increase defensibility.
Closing
KNIRV is building the infrastructure that makes AI provably trustworthy, not merely claimed to be.
3 products. 1 network. The trust layer.