About Us

Engineered by veterans. Built for enterprise scale.

Founded by ex-Google & Microsoft leaders with 20+ years of experience — building the enterprise ai control plane enterprises need to make AI ROI-positive.

Origin & Mission

Why the control plane exists.

llmPolicyHub sits between enterprise AI usage and the models behind it — so governance is enforced at the perimeter, not bolted on after the fact.

  • The enterprise AI paradox

    Enterprises rush to adopt generative AI for productivity, yet unmonitored prompts, unbounded spend, and fragmented provider keys erase the ROI and expose them to security and regulatory risk.

  • Why we founded llmPolicyHub

    For AI to deliver true enterprise value, it cannot remain an unmonitored experiment or an unpredictable line item on a cloud bill. We empower organizations to enforce disciplined AI economics across every team, workload, and autonomous agent.

  • Mission: making AI ROI-positive

    Our mission is to make enterprise AI economically predictable, policy-compliant, and vendor-portable — so every token spent maps to measurable business value.

Infrastructure path

From shadow traffic to governed LLMs.

One intercept at the control plane turns unmonitored usage into policy-bound, auditable AI operations.

  • Step 01

    Unmonitored shadow AI traffic

    Employees, agents, and apps calling public LLMs directly — no policy, no budget, no audit trail.

  • Step 02

    Intercepted by the llmPolicyHub control plane

    Inline DLP, budgets, SSO, and audit at the perimeter — before a single token leaves your boundary.

  • Step 03

    Routed to governed LLMs

    BYOK providers under unified policy and observability, without rewriting application code.

Pillars

Three pillars of enterprise AI control.

FinOps, security, and sovereignty — the disciplines that make AI spend predictable and portable.

  • Pillar 01

    FinOps

    Real-time hard caps and chargeback attribution — so token spend is a governed line item, not a surprise invoice.

  • Pillar 02

    Security

    Inline DLP and zero-trust SSO/LDAP integration at the control plane — identity and content policy before the model.

  • Pillar 03

    Sovereignty

    Decoupled BYOK and dynamic model swaps — keep provider choice without giving up the control plane.

Leadership

Leadership & engineering pedigree.

Decades building SaaS applications, cloud platforms, and enterprise security at scale — applied to the AI control plane.

  • Pradeep Niranjan

    Co-Founder

    Pradeep Niranjan

  • Manish Gupta

    Co-Founder

    Manish Gupta

Next step

Ready to make AI ROI-positive for your enterprise?

Schedule a short strategy session with the llmPolicyHub team — or explore plans and start a governed trial.