A single brain for full data center visibility
Agni turns raw telemetry into clear, prioritized answers — so operators know what's urgent and how to fix it.
Ask a question. Get a prioritized answer — not another dashboard.
Suggested action: inspect the condenser water loop and re-check the PID setpoint.
The only operations LLM built for data center teams — analyze, troubleshoot and act before issues reach your SLAs.
One assistant for a control room's hundred questions
tejas agni
The first LLM for data center operations, helping technicians uncover, prioritize and troubleshoot the most pressing issues.
tejas factory
Coming SoonSpecialized AI agents to proactively monitor and optimize mission-critical data center infrastructure at scale.
Increase reliability
Significantly improve thermal stability and reliability via AI agents that vigilantly manage data center infrastructure on a 24/7 basis. These AI agents detect and diagnose issues that may otherwise remain hidden.
Maximize IT capacity
Precision AI control enables the AI factory to operate at higher TCS temperatures while remaining safely within GPU T-limits. This substantially reduces the power required for facility-level cooling — meaning more power available for revenue-generating GPUs.
One agent for every critical system
See Agni command real facilities — live digital twins, root-cause chat and immersive VR walkthroughs.
Autonomous controlLive digital twin
A real-time twin of the data hall — power, cooling and autonomous control running in closed loop.
DiagnosticsRoot-cause, rack by rack
Trace a GPU fault through cooling, airflow and BMS — with a guided move-and-correct checklist.
ImmersiveWalk the facility in VR
Step inside the twin. Inspect any rack, read live sensors and ask the agent in immersive mode.
Critical infrastructureBeyond the data center
From AI factories to nuclear plants — the same agent commands power and cooling at any scale.
Simulated Benchmark: Thermal Spike Control
In our internal simulations on a liquid-cooled reference rack, Tejas Agni's control policy reduced thermal spikes related to bursty AI workloads by ~80% versus static setpoints.
Automated insight, plus an assistant that actually knows your plant
Problems you can see forming
Contextual alerts on issues taking shape — each with a suggested fix, from real-time and historical data together.
Ask Bodhi anything about your plant
Bodhi pulls live data, history and your equipment docs to answer questions and build charts — in plain language, working shown.
It appears the temperature oscillations in your chiller plant are likely due to poorly tuned PID control loops.
To stabilize the plant, follow these steps:
- Retune PID parameters: Adjust gains to prevent valve hunting.
- Review valve sequencing: Check that actuators operate correctly.
- Calibrate pressure sensors: Inspect differential transmitter values.
Proof, not promises
What our agents do in simulation and on real plant data — and the research behind it.
Physics-grounded reinforcement learning for closed-loop data center cooling
Our method, results and benchmarks — from high-fidelity thermodynamic simulation to safe real-world control.
Taming bursty thermal spikes
Agni's learned control policy held setpoints through bursty AI workloads where static control oscillated.
Cutting cooling energy
Running closed-loop at higher, safe coolant temperatures freed power for revenue-generating GPUs.
Protecting availability
Continuous monitoring and early root-cause diagnosis kept critical systems inside their limits, 24/7.
From raw telemetry to a clear next action — in four steps
Connect
Stream telemetry from BMS, CDUs, chillers and PDUs. Read-only to start.
Contextualize
Agni maps your topology and learns each asset's normal — so an alarm becomes an explanation.
Converse
Ask in plain language. Agni answers with charts and a ranked list of what's urgent.
Act
Every insight ships with a suggested fix to review and apply — humans in the loop.
The new era of data center operations starts with seeing clearly
Book a live session and put Agni in front of your own telemetry. We'll answer your hardest operations questions in real time — and be honest about whether we're the right fit yet.
Request a demo