About Equanimo

We exist so that AI governance becomes
a continuous, provable operating mode.

Not a quarterly review. Not a binder of PDFs. Not an end-of-quarter scramble before the regulator arrives. A live operating mode.

Equanimo gives security, compliance and risk teams complete control over how AI is used in their enterprise — without asking employees to change how they work.

Mission

AI adoption is moving faster than governance can keep pace.

Employees are already using ChatGPT, Microsoft Copilot, Gemini, Claude and dozens of other tools. Sensitive data is moving through prompts. Proprietary pricing models, clinical protocols, source code and financial strategies are reaching third-party servers.

Most organisations cannot prove what data went where, when, or why. Regulators expect a tamper-proof record. Boards expect quantified risk. Customers expect their data to be protected.

Equanimo makes governance a continuous by-product of normal AI operation — not an exercise, not an audit, not an emergency.

Co-Founder

D.G. · CEO & Co-Founder

A technology executive with 15+ years at the intersection of AI, data platforms, and enterprise product strategy, with experience across AI/ML product leadership, recommender systems, and search & personalization.

VP, Engineering

Bhola Shankar Upadhyay

Engineering and architecture lead with 20+ years across regulated enterprise sectors including Healthcare, HCM, Loyalty, and Identity Protection — focused on building infrastructure that is high-performance, secure, and auditable by design.

Principles

How Equanimo is built.

Every platform decision follows a strict operating philosophy shaped by regulated enterprises and audit-grade requirements.

Foundational First

Data Collection — the AI Gateway and Connectors — must be live before any other module has traffic to govern.

Governance Without Friction

If governance slows employees down, they route around it. Equanimo intercepts transparently at the network layer.

Evidence by Default

Every policy decision, prompt event, and risk flag is logged immutably the moment it happens.

Role-Appropriate Views

The same underlying data is surfaced as the right signal for the right persona — never a dashboard built for someone else.

What we are
  • An operational layer between every employee and every AI tool
  • A policy engine turning governance documents into machine-readable rules
  • An evidence pipeline producing audit-ready packages on demand
  • A risk quantification system mapped to regulatory frameworks
What we aren’t
  • A foundation model provider — Equanimo orchestrates, it doesn’t generate
  • A consumer chatbot — it sits behind the tools teams already use
  • A reseller of compliance — frameworks belong to the regulator
  • A training data customer — prompts are never used to improve models
Talk to us

Talk to the team building Equanimo.

Whether you want a demo, a sovereignty assessment, or just to ask a hard question about AI governance — we’d like to hear from you.