We're a small team of GPU engineers, ML researchers, and DevOps obsessives — on a mission to make production AI affordable for every Indian startup.
Indian AI startups deserve world-class infrastructure without paying world-class markups. We run our own racks, optimize our own stack, and pass the savings on.
From a YC-backed seed-stage AI startup to a 5,000-employee bank running an internal LLM — we deliver the same architectural rigor at a fraction of the hyperscaler price.
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GPU clusters deployed
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Avg deployment time
0%
Cheaper than AWS
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Uptime SLA target
Speed isn't an excuse to cut corners. We move quickly because we obsess over the boring stuff: monitoring, runbooks, rollback plans.
We win when our customers win. Transparent pricing, no upsells, no lock-in. If we can save you money on a cheaper config, we'll tell you.
Every deployment ships with documentation, runbooks, and a 1:1 walkthrough. Your team owns the system after we hand off.
We're proud to be a domestic infrastructure provider. Local team, local data residency, local support hours.
Post-mortems for every incident. Performance budgets for every service. Chaos testing in staging. We sweat the details.
We're not a one-and-done vendor. Quarterly architecture reviews, capacity planning, and a roadmap aligned with yours.
Vikram K.
CEO & GPU Lead
Ex-NVIDIA. Built training infra for 100B+ parameter models.
Anjali S.
Head of ML
PhD ML systems. Shipped recsys at a top Indian e-com unicorn.
Ravi M.
Principal DevOps
15 yrs infrastructure. CKAD certified. Kubernetes whisperer.
Priya D.
Security Lead
CISSP. Built compliance programs for SOC 2 and HIPAA.
Started in a co-working space with two A100s, a vision, and a long Notion doc.
Live in 3 days. Customer trained their first 7B model that weekend. Both still our customer.
Crossed 50 GPUs across two data centers. Built our own scheduler. Saved customers ₹2 crore.
Cleared audit on first attempt. Compliance now opens enterprise and BFSI conversations.
Mumbai + Bangalore. Llama-3 70B private deployments online. Building toward H100 launch.
Whether you're a customer or a future engineer — we'd love to talk.