AI is starting to act on its own.
Atmakosh makes sure it asks first.
Before your AI does something that matters — sends money, deploys code, changes your data — Atmakosh checks whether it’s the right thing to do, and keeps proof it did.
How it works — in three simple steps
No dashboards to learn. It works like a wise, fair review committee that never sleeps.
Your AI wants to act
It’s about to send money, deploy code, or change your data — something that matters.
A council reviews it
Eight independent viewpoints weigh the decision — instantly, and from every angle.
You get a clear answer
A plain yes, no, or ask a human — with a permanent record of why.
Think of it as a wise, fair committee for every important decision your AI makes — that never forgets.
Who it’s for
Small businesses
Use AI with confidence, without hiring a compliance team.
Teams & builders
Let AI agents do more, while you stay firmly in control.
Risk & compliance
Proof for every decision, ready when the auditors ask.
The full platform, in depth.
The plain-language story on the home page, unpacked for engineers, architects, and compliance teams — the council, the agent framework, the model plane, compliance coverage, the Governance OS, and security. Prefer the developer view? See the API docs.
Every decision, judged by a council of worldviews.
Atmakosh weighs each decision across a council of civilisational worldviews — deterministic stances, disagreement preserved rather than averaged, and grounded in cited sources. The result is a plural, defensible read, not a single opaque answer.
Many worldviews, one decision
Every consequential decision is examined through multiple philosophical and management traditions, with the relevant lens applied to the context.
Grounded & cited
Answers carry their sources. Evidence is cited, never fabricated — so a reviewer can trace the reasoning back to where it came from.
Plurality as a feature
“How would this be judged across different value frameworks?” Cross-cultural comparison is a first-class output, not an afterthought.
Example. “Should we automate intraday liquidity rebalancing, removing the human treasury desk?” → most worldviews proceed with safeguards, one holds for more evidence — status contested. Another flags concealment as unacceptable if staff aren’t informed. The split is preserved, recorded, and reproducible.
Multi-agent orchestration you can see, govern, and stop.
Abstractions, planning & orchestration, memory layers, and tiered autonomy — under a governance gate that runs on every action. Agent Veda is the primary infrastructure agent.
Agent Veda
Veda is the orchestration spine: it decomposes objectives, convenes the eight-worldview council for every consequential action, applies binding conditions, and routes anything contested to human review. It never lets an agent act outside its declared perimeter.
A model plane built for governance, not lock-in.
Point agents at the Atmakosh civilisational model for rooted reasoning — or fall back to any provider. The verdict stays deterministic and provider-independent; the model only colours the commentary.
Model access
Use the Atmakosh civilizational model for rooted reasoning, or bring your own — the verdict stays provider-independent.
API gateway
Per-customer entitlement, metering, and rate control at the edge.
Fine-tuning preview
Managed model tuning with evaluation gates, so quality is checked before anything ships.
Prompts & framing
Worldview framing and prompt templates kept under version control and change review.
From “we have a policy” to demonstrable, running oversight.
Compliance tooling stops at logging. Atmakosh adds the missing layer — structured normative judgement with human override, mapped to your regulator’s controls, attested per decision.
US · SR 11-7 · SEC/FINRA
Model-risk management, effective challenge, 2210/2111 suitability.
US · NIST AI RMF
Govern · Map · Measure · Manage — the de-facto US standard.
US · Colorado AI Act
High-risk “consequential decisions,” duty of care, consumer notice.
EU AI Act
Articles 12 · 13 · 14 — record-keeping, transparency, oversight.
UK FCA
Consumer Duty + GDPR Art. 22 automated-decision review.
SOC 2 · ISO 42001/27001
Trust criteria, AI-management, infosec controls.
Human oversight
Multi-reviewer quorum, deny-wins veto, signed admin sign-off.
Tamper-evident audit
Chained, signed decision log with exact replay.
India (DPDP · RBI)
An India-specific compliance pack.
Gulf / SEA (incl. MAS FEAT)
Values-aligned packs for the Gulf and Southeast Asia.
Not a compliance binder. A governance runtime.
Everything a GRC platform gives you — a registry, policy packs, scorecards, evidence, sign-off — plus the one thing documentation-first tools can’t: live governance on every decision and every agent action, as it happens.
Policy-pack library
Regulations as living packs — EU AI Act, NIST AI RMF, SR 11-7, ISO 42001, FCA — mapped to controls, checked per decision.
Governance scorecards
Portfolio-wide control coverage and compliance %, recomputed from real decisions — not a self-assessment survey.
Evidence & attestations
Every decision carries a signed evidence bundle with exact bit-for-bit replay — proof, not a stored PDF.
Review & sign-off workflows
Multi-reviewer quorum, deny-wins veto, cryptographic admin sign-off before anything acts.
Continuous monitoring
Drift alerts, loop telemetry, cost & latency per agent — governance that keeps watching, not an annual audit.
AI use-case registry
Inventory every model, agent and use case — accountable owner, risk tier, guarded lifecycle, linked to live audit evidence.
Third-party model risk
Assess external and vendor models against your packs before you rely on them.
Integrations
MLflow, SageMaker, Vertex, Jira, ServiceNow, Slack — governance wired into your stack.
GRC tools govern the paperwork about your AI.
Atmakosh governs the AI.
- ✓ Registers models & use cases
- ✓ Stores policies & collects evidence
- ✓ Periodic risk assessments & reports
- ✕ Sits beside the AI — never in the decision path
- ✕ Can’t stop an agent mid-action
- ✕ Evidence written after the fact
- ✓ Everything GRC does — registry, packs, scorecards, evidence
- ✓ Judges every decision & agent action in real time
- ✓ Deterministic plural-worldview verdicts
- ✓ Autonomy tiers + circuit breakers that stop an agent
- ✓ Exact bit-for-bit replay of any past decision
- ✓ Attested per decision, live — not after the fact
Trust you can watch happen.
Security is visible in the interface, not buried in a policy. Every session surfaces isolation status, injection defences, secured calls, and one-click access to the audit trail.
Data isolation live
Each customer’s and agent’s data is kept separate, with cross-access denied by default.
Prompt-injection mitigation
Untrusted input is screened for manipulation and data-exfiltration attempts before it can act.
Secure sign-in & API
Modern token-based authentication with session protection and rate limiting.
Accessible audit logs
Every decision links to its signed evidence — self-serve for reviewers and auditors.
Logs & monitoring
Cost, latency, and bottlenecks tracked per agent — so operators see what’s happening in real time.
Feedback loops
Reviewer feedback is captured to improve models over time — never as a live, unchecked verdict.
Persona profiles
Tailored framing per audience, with a plain-English guidance mode.
Free · Starter · Pro · Enterprise. One ladder, priced per market.
Every tier is a strict superset of the one below. Pick your market — the compliance packs and currency change, the ladder doesn’t:
Indicative list pricing, billed monthly (Enterprise annual & custom). Free is genuinely useful — 1 seat, 50 governed decisions / month. India and Gulf / SEA editions are in development — join the waitlist to be notified at launch.
🗓 Phased rollout: the free Council is available now; paid-tier capabilities unlock on the weekly release schedule (see the badges on the Platform tab). You’re only billed for a tier once you’re on it.
The deadlines are real. The oversight layer is ready.
Book a free 30-minute oversight-gap review — US, EU or UK — or start free and run a governed decision in minutes.