Pramanya Intelligence

Pramanya Intelligence LLP

Pramanya Intelligence

From India, for the world — governing enterprise AI. We build llmPolicyHub, the enterprise AI gateway and control plane for governed LLM access.

Overview

Why Pramanya Intelligence exists.

Pramanya Intelligence LLP was founded by Pradeep Niranjan and Manish Gupta — ex-Google and ex-Microsoft leaders with 20+ years building cloud platforms, security, and enterprise SaaS. They started the company to solve the enterprise AI paradox: organizations rush to adopt generative AI, yet unmonitored prompts, unbounded spend, and fragmented provider keys erase ROI and create security risk. Through llmPolicyHub, Pramanya builds the AI gateway and control plane that makes enterprise AI economically predictable, policy-compliant, and vendor-portable.

From India for the world

Engineered in Bengaluru. Built for global enterprises.

Based in Bengaluru, Pramanya Intelligence designs llmPolicyHub as a product for the world — not a regional experiment. The control plane is meant for enterprises that need one intercept for people, agents, and apps across providers, with governance enforced at the perimeter wherever they operate.

Artificial intelligence

Adopt AI without losing the operating model.

Enterprise AI traffic is scattered across chats, agents, and apps — often with hardcoded keys and no shared view of spend or violations. llmPolicyHub sits between that usage and the models behind it, so teams can run vendor-neutral LLM access, value-aligned routing, and token budgets from a single control plane instead of rewriting integrations every time the model changes.

Governance for AI

Policy before the model — not after the invoice.

Governance is the core of llmPolicyHub: multi-tier policy and compliance, auditability, observability and evaluations, and agent guardrails. Prompts and completions can be allowed, blocked, redacted, or overridden at the boundary, with identity and permissions tied to your enterprise IAM — so AI programs stay controlled as they scale.

Data protection

Keep sensitive data inside the boundary.

Unmonitored prompts can send PII, secrets, and regulated content to third-party models. llmPolicyHub applies inline data protection at the control plane — masking and policy checks before tokens leave your perimeter — and streams audit telemetry to your SIEM or lake for SOC 2, HIPAA, and EU AI Act readiness.