Autonomous Reasoning Kernel — Governance for AI

OpenAI-Compatible Drop-In Proxy

Every AI claim.
Verified or flagged.

ARK Governance Gateway wraps any LLM and grades every claim — verified, flagged, or halted — catching confident fabrications and models that cave under pressure, and sealing the verdict to a tamper-evident audit. Production-grade. Auditable. Compliant.

10–45s Per governed call · by model & complexity
6/6 Protocol tests pass
12× Faster than local inference
Any LLM Model-agnostic · drop-in OpenAI API

One gateway. Every major model.

Stop juggling separate ChatGPT, Claude, and other subscriptions. One ARK account, one prepaid balance, every model — each governed identically. We add new models as they ship.

Claude Opus 5 Claude Sonnet 5 Claude Opus 4.8 Claude Haiku 4.5 GPT-5.6 Sol GPT-5.6 Terra GPT-5.6 Luna GPT-5.5 Kimi K3 DeepSeek V4 Pro GLM-5 DeepSeek V4 Flash + more as they ship

Choosing a pricier model buys quality — not different governance. The model changes; the scrutiny doesn't.

Air-gapped? Govern open-weight models in your own datacenter.

Proprietary models like Claude and GPT can't run inside a zero-egress boundary. For Sovereign deployments, ARK governs self-hostable open-weight models on your hardware — nothing ever leaves your network.

GLM-5 GLM-5.2 DeepSeek V4 Pro DeepSeek V4 Flash Qwen3-32B Gemma 4 Ministral 3 + bring your own LLM
See how it works →

Fluent isn't the same as true.

Every AI answer blends verified facts, inferences, and confident fabrications that look identical. ARK inspects each claim before it reaches you — flagging or holding what isn't supported, and keeping a tamper-evident record.

Watch one answer get X-rayed, claim by claim.

LLMs generate text.
They don't generate truth.

Every AI response is a mix of verified facts, reasonable inferences, and confident fabrications. Basic guardrails check for harmful content. Nobody checks for epistemic integrity.

Manufactured Certainty

Models present inferences as verified facts. "The GDP of Kiribati in 2024 was $220M" — said with full confidence, zero evidence.

Sycophantic Drift

Over multiple turns, models silently shift their claims to agree with the user. Yesterday's "uncertain" becomes today's "confirmed."

Unauditable Outputs

No claim-level audit trail. No evidence linking. No way to replay what the model said, why it was flagged, or what policy was active.

Drop-in proxy.
Deep governance.

Change one line — your base_url. ARK Gateway sits between your application and any LLM, applying protocol-driven governance to every response.

📱
Your App
Any OpenAI SDK
base_url swap
🛡
ARK Gateway
Governance Engine
governed
🧠
Any LLM
DeepSeek · Claude · Llama

Every answer passes through layered scrutiny

You see the verdict and a sealed receipt — not a black box, and not the internal playbook.

Graded

Every claim sorted VERIFIED · GROUNDED · INFERRED · UNVERIFIED.

Source-checked

"Verified" only when the cited evidence genuinely backs it.

Pressure-tested

A model that caves under push-back is caught and marked.

Cross-checked

Thin single sources, stale figures, and shaky leaps get flagged.

Sealed

The whole judgement is written to a tamper-evident record.

See how governance works →

Measured. Not promised.

Every number below comes from real test runs — 6 governance checks executed against both local infrastructure and enterprise serverless GPU infrastructure.

10–45s per governed call — model & complexity

Speed scales with the model you pick and how much the answer says: a short reply on a fast model lands near 10s; a long, complex answer on a premium model approaches 45s. The full governance pass runs on every call — no fast-path that skips scrutiny on a long answer.

same workload vs ~125s on commodity local hardware 12× faster on cloud
1 → 3+ depth of scrutiny · Standard → Strict

Standard governs every claim in a single pass. Strict applies deeper scrutiny for regulated work — probing the question’s premises and the model’s reasoning, not just its conclusions — at modestly higher latency. You choose the depth per request.

6/6 governance checks pass

Claims are graded and source-checked, the verdict is sealed to a tamper-evident audit, sector policy is applied, and drift across turns is caught — all verified on cloud infrastructure.

Pennies per governed call, all-in

Governance adds a small fraction over raw inference. Every response itemizes its full token cost, so you always see exactly what a governed call costs.

8.8× concurrency speedup at 16 parallel requests

Measured June 2026 on the full governance stack: zero errors across 16-way concurrent governed calls, per-call latency up just 27% under 16× load, ~2,635 governed requests/hour from a single instance.

One line to govern your AI
from openai import OpenAI

client = OpenAI(
    base_url="https://ark-api.yourdomain.com/v1",  # ← only change
    api_key="sk-your-tenant-key",
)

response = client.chat.completions.create(
    model="any-model",
    messages=[{"role": "user", "content": "..."}],
    extra_body={"ark": {
        # full governance on by default — fine-grained selection in the API docs
        "mode": "annotate",
    }}
)

# → response.ark.governance_report.ais.score = 0.87
# → response.ark.governance_report.claims = [{tier: "GROUNDED", ...}]
# → response.ark.governance_report.verdict = "flagged"

Try it. Free for 14 days.

Start a free 14-day trial — 15,000 credits, no card. Run ARK on your own prompts in a private workspace: every response comes back tiered claim-by-claim, scored, and flagged the moment a model bends under pressure.

Start your free trial →

Govern your AI agent.

Agents don't just talk — they act. ARK sits at every step: it gates each tool call before it runs, records the whole trajectory in a tamper-evident audit, and governs the final answer. The same engine that governs chat — now for autonomous agents.

Gate every action

ARK classifies each tool call by blast-radius (read · write · irreversible) and grounding, and blocks an irreversible action on unverified arguments — before it executes.

Prove the whole run

A hash-chained, tamper-evident audit of the entire trajectory — plan → tools → actions → answer. Your accountability record for incident review and EU AI Act obligations.

Govern the answer

Claim-tier and score the agent's final synthesis against its own evidence — the same governance engine behind every chat answer.

Get started → See the live demo → Agent pricing →

Same account, same API key — point your agent at /v1/agent.

Simple, pay-as-you-go pricing.

Buy prepaid credits and spend a few per governed message — or subscribe monthly for a better rate. Every model and both governance modes are included on every plan. 1 credit = $0.001; start free with trial credits.

Pay as you go
$10 & up
Prepaid credit packs · credits never expire · top up anytime
  • $10 → 10,000 credits
  • $25 → 26,000 credits
  • $50 → 54,000 credits
  • $100 → 115,000 credits
  • ≈ 5–25 credits/message on economy models — mid & premium cost more
  • Every model · Standard & Strict governance
  • Optional auto-reload · no subscription, no lock-in
Start free
ARK Sovereign
Custom
Self-host · annual licence
  • Runs entirely on your own infrastructure
  • Data never leaves your region (zero-egress)
  • Bring your own LLM — you pay only your own inference
  • Unlimited requests — flat annual licence
  • Compliance profile tuned to your rules
  • SLA + hands-on onboarding
Contact Sales

Standard vs Strict are governance modes you pick per message — both are included on every plan, never priced separately. See the difference →

Pre-configured for regulated sectors.

Each sector gets a governance posture matched to its compliance reality — outcome-level here, with the full picture on the Learn page.

Ready to govern your AI?

Early access is open for qualified teams in regulated industries. We onboard every customer personally.