95% utilisation doesn't mean 95% useful work. Cognit reads every layer of the compute stack — from silicon to scheduler — and tells you exactly which job is on which GPU, whether it's doing real work, and what it costs. All on-premise. No SaaS. No cloud dependency.
Cognit deploys inside your environment — on-premise, with no outbound telemetry — and connects to the tools you already run. No rip-and-replace. No data leaving your network.
From cluster health to compliance score to inference runtime — all visible, all governed, all on your hardware.
Every Cognit deployment covers all three. These are the buyer entry points — where the pain is sharpest, the conversation starts.
Ten capabilities. One agent. Deployed in your environment — not ours.
Your GPU monitoring stack gives you device-level aggregates. It cannot tie kernel-level evidence back to the job or the tenant. That gap is the whole problem.
Three real workloads where the standard stack gives you a number. Cognit gives you the reason.
One number. Forty frameworks, twenty-seven with live evidence. Live infrastructure evidence — not self-assessment checkboxes. Every gap ranked by cross-framework impact with a clear remediation path.
synthetic:false from a real
source — a failed or empty read renders “unavailable”, never a green badge. Demo-safe mode is an
allowlist, not a denylist. Panels currently modelled rather than measured: energy and inference.
A qualified auditor must review before reliance.
We don't ask for a platform commitment before you've seen your own numbers. Each step is fixed scope, fixed price, and credited in full against the next — so the only thing you risk is the first one.
Continuous observability and the compliance plane, deployed on your hardware — Observe for attribution and efficiency, Govern for the full compliance plane. Licensed per GPU, annually, and scoped to your cluster. Pricing on request — we quote it against what the audit found, not from a table.
Volume tiers apply above 64 GPUs and aggregate across clusters. Sovereign and defence deployments are scoped separately.
No big-bang deployment. No data leaving your perimeter. We start with what you already have and show you value before asking for anything more.
Most stacks bolt one tool per band and call it coverage. The runtime and device ends are well-observed. The kernel — where causation actually lives — is a blind spot.
If you own the hardware, share GPUs across teams, and have ever wondered where the hours actually went — this is for you.
Cognit is an India-based infrastructure software company building the governance and observability layer for on-premise AI compute. We exist because the organisations that need this most — national labs, defence programs, research institutions, regulated enterprises — cannot use foreign-jurisdiction SaaS tools, and no one was building for them.
We fund the deep-tech build with a working services practice — embedded systems, cloud communications and cybersecurity — which delivered and collected ₹13.3 lakh in FY 2024-25. Self-funded, debt-light and audited. We move carefully, we say what we mean, and we build in public where we can.
A working team, not a founder and a deck. Engineers who run the lab cluster, design the compute module and deploy on customer sites — with specialists who have shipped kernels, audits and HPC.
Share a few details and we'll get back to you within 2 business days. No demo-bot. No automated funnel. A real conversation with the team.
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