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Custom AI engineering

When the product isn't enough, we build it for you.

Newron is staffed by ex-research and ex-platform engineers who embed with your team. Most engagements ship to production inside one quarter.

Scope an engagementSee the product suite
01
What we do

Three ways to work with us.

From a focused engineering sprint to a custom foundational model — scoped to the problem, not a fixed package.

Engineering
01

Custom AI engineering

We sit inside your team to design the data pipelines, eval harnesses and inference path. Scope to production in 8–12 weeks.

  • Discovery + scoping sprint
  • Data + eval pipeline
  • Production deployment
Foundational
02

Custom foundational models

When off-the-shelf models won't do the job, we build them — domain-pretrained, fine-tuned on your data, evaluated against the SOTA.

  • Pretraining + alignment
  • On par with SOTA · 1/8 cost
  • License: yours
Automation
03

Business automation with AI

Document workflows, ops tooling and customer-facing copilots, built on the Newron platform and deployed in your VPC.

  • Document + workflow ops
  • VPC or air-gapped
  • API-first, self-hostable
02
How we engage

A quarter from kickoff to production.

We don't hand over a slide deck. We deliver a working system your team owns and can run.

WEEK 1–2
Discovery & scoping
We map the problem, the data and the eval criteria with your team and agree on what 'working' means.
WEEK 3–6
Data & eval pipeline
We build the ingestion, labelling and evaluation harness so progress is measurable from day one.
WEEK 6–10
Model & inference path
We train, fine-tune or assemble the models and stand up the inference path in your environment.
WEEK 10–12
Hardening & handover
We deploy to production, document everything, and hand your engineers the keys.
03
How we build

Principles we won't trade away.

01
Deploy where you need to
Self-hostable on your VPC, on-premise or fully air-gapped. Compliance teams get the audit trail; your engineering keeps the keys.
02
API-first by design
Every Newron system ships with the same REST + webhook surface, so it drops into your existing stack instead of replacing it.
03
On par with SOTA, at 1/8
Our custom models score within striking distance of frontier systems on the tasks that matter — for a fraction of the inference bill.
04
Built with NVIDIA
NVIDIA Inception Partner since 2023, training on Indian data with explicit residency commitments.
“They embedded with our team, shipped to production in eleven weeks, and left us with a system we actually understand and can operate ourselves.”
VP Engineering · Banking platform
04
Questions

Common questions.

Who owns the model and the code?+

You do. Custom models are licensed to you, and we hand over the code, weights and documentation at the end of the engagement.

How small a problem is worth an engagement?+

If it's well-scoped and measurable, it's worth a conversation. Many engagements start as a single workflow and grow from there.

Can you really match frontier models at lower cost?+

On the specific tasks that matter to you, yes. Domain pretraining and fine-tuning let a smaller model match much larger ones at roughly an eighth of the inference cost.

What does your team look like?+

Ex-research and ex-platform engineers who have shipped production AI. You work directly with the people building your system, not an account layer.

Get started

Bring us your hardest problem.

Tell us what off-the-shelf AI can't do for you. We'll scope an engagement and tell you honestly whether — and how — we can ship it.

Book a demo About Newron