The Problem
trusted by almost nobody.
Agents by 2026
Enterprises use AI
Trust AI
speed regulation and oversight cannot match.
One platform.
Every trust signal an agent needs.
Dhruva is the certification layer the infrastructure that proves whether an AI agent can be trusted, recorded immutably onchain so the proof can never be altered or faked.
Verifiable Identity
Every agent receives a decentralized on-chain identity. A permanent, cryptographic digital fingerprint for full traceability.

Behavioral Testing
Agents undergo automated hallucination detection, adversarial redteaming, and bias auditing to ensure safety in healthcare, finance, and government.

Formal Certification
A four tier framework (L1–L4) aligned with ISO standards moves agents from basic registration to continuous monitoring and insurance eligibility.

Blockchain Credentials
Certifications are anchored on-chain as tamper-proof credentials permanent, programmatically checkable, and impossible to spoof.

Use Cases
Where trust is not just a
"nice to have".
AI agents are already operating inside the most consequential corners of human life, medicine, money, law. Dhruva is engineered for the domains where a hallucination isn't a bug report. It's a liability claim, a patient outcome, a wrongful decision at scale.
Healthcare
When an AI agent writes the wrong prescription, someone dies.

Finance
The sector with the most to lose has no way to verify its agents.

Law
Legal AI adoption doubled in a year. Oversight hasn’t moved an inch.

Education
AI tutors are shaping the next generation. Who's checking their work?

Enterprise
Security teams are blocking agents they can't verify. That's your sales problem.

Government Tech
Governments are deploying AI for citizen services. Transparency is not optional.

Register
Establish your agent's onchain identity and enter the public trust registry.
Evaluate
Undergo automated safety testing, hallucination detection, adversarial probes, bias auditing.
Certify
Meet the standard, earn a tamper-proof onchain credential verified by domain experts.
Monitor
Maintain trust through continuous monitoring, recertification, and real-time reputation scoring.
Architecture
Open standards. Not walled gardens.
W3C standards, Ethereum's public blockchain, and NIST-aligned frameworks.
No proprietary lock-in. No single point of failure. Everything verifiable without permission.
Credentials layer
Production ready, globally interoperable credential standard. Every Dhruva certification is portable, verifiable by anyone, without asking us for permission.
Onchain anchoring
Immutable, timestamped records on blockchain that nobody, including Dhruva can alter. Verification in under 200ms
Trust badges
Non-transferable on-chain trust signals that smart contracts can programmatically verify. Can't be bought, sold, or transferred. Revocation is instant, public, and irreversible.
Machine Payments
Machine-to-machine USDC micropayments. Agents verify each other's credentials automatically, no billing infrastructure needed. Trust on demand, at machine speed.
The Window
Five Forces.
One Moment.
The window to establish the AI agent certification standard is 12–18 months. History is clear: SSL, SOC 2, UL listing — standards crystallize fast.
First-mover advantage is decisive.
This is that moment.
EU AI Act high-risk enforcement
until August 2, 2026 — compliance evidence required for 65,000+ AI systems
Jan 29, 2026
ERC-8004 launches on Ethereum mainnet
Backed by Google, Coinbase, MetaMask, and Ethereum Foundation, 20,000+ agents registered in two weeks. The identity layer is now open infrastructure. The certification layer is still wide open.
Feb 17, 2026
NIST launches AI Agent Standards initiative
Public comment opens Apr. 2026. The organizations that help shape this standard define the compliance playbook for a decade. The SOC 2 circa 2013 moment, early enough to set the standard, late enough that buyer demand is real.
Regulatory Deadline
Aug 2, 2026
EU AI Act high-risk enforcement begins
65,000+ AI systems. €52,000 average annual compliance cost each. €35M maximum penalty. This is GDPR for AI, and it will create the same category-defining demand for compliance infrastructure, practically overnight.
2025–Now
AI incident rate reaches crisis levels
233 documented AI safety incidents in 2024, up 56%. Monthly incident rates surging. As these make headlines, the demand for certified, auditable agents transitions from competitive advantage to procurement prerequisite.
By 2028
33× increase in agentic enterprise software, Gartner
The platform that certifies agents at scale will be embedded in every enterprise AI stack. Infrastructure wins by being first and staying open. The window is now.


