Ollama development company in India
An India-based Ollama team that sets up private language models, retrieval pipelines and GPU inference for you, working to your sprint cadence from New Delhi with agreed overlap hours, peer-reviewed code and recorded demos.
- India-based senior engineers
- IST + US/UK overlap
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
How an India-based Ollama team works with you
Krapton is an Ollama development company in India, based in New Delhi, that staffs small engineering teams to build and operate self-hosted LLM systems for clients in the US, UK, EU and UAE. A typical Ollama engagement pairs a backend engineer who owns the API, retrieval and proxy layer with an ML engineer who runs model evaluations and Modelfile changes; a DevOps engineer joins when GPU servers or Kubernetes are in scope. India Standard Time sits five and a half hours ahead of UTC with no daylight saving, so UK and European mornings overlap the Indian afternoon, Gulf clients share most of the working day, and US teams meet us at the start of their morning. Code lives in your Git repositories from the first commit, and model or Modelfile changes never merge without fresh evaluation scores attached. Because prompts and documents are often sensitive, the NDA and data-handling terms are signed before anyone sees sample data.
Ollama development services in India
Dedicated Ollama engineers
Engineers who join your stand-ups, work in your repositories and ticket tracker, and take ownership of model pulls, Modelfiles, retrieval code and the proxy in front of the Ollama server.
Proof-of-concept on your data
A time-boxed build that runs candidate open-weight models through Ollama against a sample of your documents, ending with an evaluation report you can take to security and budget owners.
Air-gapped and on-premise installs
Packaging models, the Ollama binary and application containers for networks without internet access, including offline model transfer, checksum verification and runbooks your own IT staff can follow.
Embedding and vector pipelines
Ingestion jobs that chunk, embed and re-index content as it changes, using Ollama embedding models with pgvector, Qdrant or Chroma, plus scheduled checks for stale or duplicate chunks.
Ongoing model operations
Routine upkeep: testing new model releases against your evaluation set, versioning Modelfiles, watching GPU memory and latency, and patching the Ollama server and proxy on a planned schedule.
Integration with your stack
Connecting Ollama-backed features to Slack, Microsoft Teams, SharePoint, Confluence or your own product through Python, TypeScript or Go services, with SSO handled at the proxy.
Why an India-based Ollama team from Krapton
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Overlap built into the sprint
Stand-ups, reviews and demos are placed in the hours your team and ours share, while long evaluation runs and model downloads happen during Indian hours when your office is closed.
Engineers vetted on LLM work
Candidates are tested on practical Ollama tasks: sizing a quantized model to a GPU, debugging a truncated context, and building a small retrieval flow, not only on general Python questions.
Data stays where you decide
Our engineers can work entirely inside your VPN or cloud tenancy through your accounts, so documents and prompts do not sit on Krapton machines unless the contract allows it.
Clear contracts and IP
A mutual NDA comes first, then a services agreement that assigns code, Modelfiles, prompts and evaluation sets to you, names the governing law, and spells out data-protection duties.
How we run Ollama projects from India
01
Kickoff and access
We agree overlap hours, communication channels and access to repositories and GPU hosts, sign the NDA, and collect sample questions for the first evaluation set.
02
Sprint delivery
Work moves through your tracker in short sprints, and every pull request is reviewed by a second engineer before merge, with retrieval tests and evaluation checks passing in CI.
03
Demos in shared hours
Each sprint ends with a live demo in the overlap window, using your real questions; a recording and evaluation summary go to anyone who could not attend.
04
Documented handover
You receive Modelfiles, deployment manifests, the evaluation harness, runbooks for model upgrades and a walkthrough session, so your staff or another vendor can run the system.
Ollama tools our India team works with
Ollama development in India: questions answered
Why choose an Ollama development company in India for a private LLM project?
Choose one when you want a dedicated team that can take the Ollama work end to end while your staff keep product decisions. An India-based team can cover model evaluation, retrieval engineering and GPU operations in one group, overlap with UK and European mornings, and continue long-running jobs after your day ends. The fit depends on the people, so interview the engineers who will actually do the work.
How do we vet Ollama developers in India before they join?
Test them on the work, not on trivia. Ask a candidate to explain how they would fit a model into a specific GPU, why answers might get cut off (an undersized num_ctx is a common cause), how they would secure the Ollama port, and how they would measure whether a smaller model is good enough. Strong engineers answer with evaluation sets and benchmarks, not opinions.
Can we hire Ollama developers in India who work inside our own cloud?
Yes, and for sensitive data it is the arrangement we recommend. Engineers receive named accounts in your AWS, Azure or GCP tenancy or on-premise network, use your VPN and SSO, and run Ollama only on hosts you own. Access is revoked on your side when the engagement ends, and audit logs stay with you. Your security team can review the access model before work starts.
How do Ollama sprints run across time zones?
They run on a shared overlap window plus asynchronous handoffs. Stand-ups and demos sit in the hours both teams are online; outside them, engineers post written updates, overnight model benchmark results and open questions in your tracker or Slack before signing off. For US clients the overlap usually falls in the Indian evening, so we agree that window at kickoff rather than assume it.
What do we receive at handover, and who owns it?
You own the code and assets produced for the project, as set out in the IP assignment clause of the services agreement. Handover includes the application code, Modelfiles, prompt templates, ingestion scripts, the evaluation set and harness, infrastructure manifests and runbooks covering model upgrades and GPU incidents. A recorded walkthrough lets your engineers ask questions, and Krapton stays available for a transition period if you want one.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.