DecisionMesh is the AI Intent Control Plane for enterprises. Unlike observability tools that explain what happened after an AI request, DecisionMesh governs what is allowed before it reaches an LLM. Enforce intent-based policies, mask PII before transmission, maintain immutable audit trails, control budgets, and route across OpenAI, Anthropic, Gemini, DeepSeek, and self-hosted models. Built for regulated industries where AI governance, compliance, and accountability are critical.
Hey Product Hunt! š
I'm Thiru, founder of DecisionMesh.
I built this after watching a fintech startup fail a
compliance audit. Their engineers had been calling
OpenAI directly for 18 months ā no logs, no policies,
no audit trail. The regulator asked for AI decision
records. They had none.
That story kept repeating. Healthcare teams sending
PHI to third-party LLMs without masking. Finance teams
with AI spend 6x over budget. Nobody knowing which
model made which decision.
DecisionMesh is the infrastructure layer that makes
AI governable ā not a dashboard you look at, but a
control plane that actually enforces rules.
Here's what it does today:
ā Logs every AI decision with cryptographic signing
ā Masks PII before requests leave your network
ā Enforces policies per team, model, and use case
ā Controls costs with hard budget limits
ā Generates audit trails for EU AI Act, SOC 2, HIPAA
We're in beta and completely free right now.
I'd love feedback from anyone in fintech, healthcare,
insurance, or legal ā the sectors where ungoverned AI
creates the highest risk.
Happy to answer any questions below š
And if this resonates with a problem you're facing ā
try it free at decimeshi.com
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