An engineering team obsessed with making AI actually useful
Everpeak was founded by infrastructure and ML engineers tired of watching "AI initiatives" stall out as slide decks. We build production systems — the kind that run unattended at 3am and still send you a clean report by morning.
No black-box magic, no vendor lock-in
Every model, pipeline and dashboard we hand over is documented, owned and explainable by your own team. We'd rather lose a client to their own in-house team than keep them dependent on ours — that's the only way this actually scales for you.
We started Everpeak after years of watching AI vendors sell enterprises a demo that never made it past the pilot stage. Our five-stage process exists specifically to prevent that: a measurable outcome is defined before a line of code is written, and nothing ships untested.
- Senior engineers only — no offshore hand-offs
- Fixed-scope pricing, weekly demo cadence
- Full source and model ownership on delivery
Source code
Full repository, yours from day one — no partial exports.
Model weights
Trained, versioned and exportable to any environment.
Documentation
Architecture diagrams and runbooks your team can act on.
Infrastructure
Infra-as-code scripts — no vendor lock-in to keep it running.
Four things every engagement holds to
Ownership on delivery
Source, weights and docs are yours the day we hand over — no recurring licence to keep it running.
Measurable outcomes
Every project starts with a number we're trying to move, agreed before any code is written.
Weekly demo cadence
You see working software every week of the build — never a black box until launch day.
Senior engineers only
No offshore hand-offs or junior benches — the person scoping your project also builds it.
From a two-person consultancy to a full delivery team
Founded in Indore
Started as a two-person ML consultancy, building forecasting models for local manufacturing clients.
First enterprise contract
Signed our first retail chain client and built out the data-engineering practice to support it.
Cloud & DevOps practice launched
Grew to a 12-person team and formalised the five-stage build process used on every engagement since.
Agentic AI & LLM systems
Shipped our first conversational support agent, now resolving 60% of tickets fully autonomously for clients.
150+ models in production
Now supporting 35+ enterprise clients across retail, SaaS, manufacturing and support, with 98% uptime across deployments.
The people scoping and building your project
Flip a card — or tap it on mobile — to see what each of us actually works on.
Arjun Khanna
Co-founder & CEOClient strategy, roadmap scoping, and infrastructure architecture across every engagement.
Sanya Patil
Co-founder & CTOModel architecture, evaluation pipelines, and keeping every deployment explainable.
Rohan Mehta
Head of Data EngineeringPipelines, warehouse design, and turning messy client data into something queryable.
Naina Iyer
Head of DeliveryWeekly demo cadence, fixed-scope tracking, and making sure handover day has no surprises.