Agentic engineering · LLMs · Technical content
Agents are easy to demo.
We build the ones
you can ship.
Neepar designs agentic workflows, trains and serves models inside your own infrastructure, automates the work your team does by hand, and writes the technical content that goes in front of engineers.
What we do
Four things, done properly.
Most of our work starts as one of these and turns into two. We would rather scope it honestly than sell you all four.
Agentic workflow development
Multi-step agents that do real work, with the guardrails and evals that let you put them in front of customers.
Read more →Legal said the data cannot go to a third-party API.In-house LLM development
Models that run on your own infrastructure, for teams whose data cannot leave the building.
Read more →Someone on your team does this every morning, and it takes an hour.Agentic automation
Agents pointed at the repetitive internal work your team does by hand and resents.
Read more →You need three hundred calibrated questions, and they have to be original.Technical content services
Assessment and learning content for platforms that put problems in front of engineers.
Read more →How it actually runs
It works at 2am,
and it knows when to stop.
The difference between a demo and a deployment is what happens when a tool returns a 502, a request falls outside policy, or the model is simply not confident enough. Those paths are most of the engineering.
Anything irreversible pauses for a person. Every run leaves a trace you can read, so when something does go wrong you get the whole trajectory rather than a stack trace at the end of it.
- 02:14:06read 41 open tickets from the queuerun
- 02:14:31grouped 12 as duplicates of NPR-3390run
- 02:15:02billing tool returned 502, retried twicewarn
- 02:15:09fell back to the read replicaok
- 02:16:47refund exceeds the £500 policy limitstop
- 02:16:47paused, escalated to a human approverok
- 02:17:22closed 28 tickets, 1 awaiting approvalok
How we work
Six weeks to something in production.
We do not start with a strategy deck. We start by building one narrow thing that works, then hardening it until you would put your name on it.
We read everything
Your codebase, your constraints, and the process you are actually running today. You get an honest account of what is worth building and what is not.
One thing, working
A single workflow end to end, on your data, in your environment — narrow enough to finish and real enough to judge.
Harden it
Evals, guardrails, retries, cost and latency budgets, and the approval step that keeps a person in the loop where it matters.
Hand it over
Documentation, runbooks, and training so your team owns it. We would rather be uninstalled than indispensable.
Tell us the part you’d rather not build.
Send us the workflow that keeps getting pushed to next quarter. We will come back with what we would build first and how long it takes.