Private AI for growing businesses

AI that does the work, at a cost you can prove.

We build AI for your business: models trained on your data, workflows that automate document and operations work, and integrations with the tools you already use. Then we run it for you. No AI team needed.

Check your AI costs free

7 patent filings, 2 grantedClinical AI in productionYou own the model

FIG.01 · SOLUTION

Your data and systems

CRM · email · files · database

connect

Model trained on your data

measured against your current model

cost proven

Agentic workflow

extract · decide · route

agent

→

Back into your tools

update CRM · notify · reply

integrate

Two ways to work with us

For businesses

Get a complete AI solution

We design, build, integrate and run one workflow end to end, measured against what you do today.

Fine-tuned model on your data
Workflow automation with human checkpoints
Connected to your CRM, email and databases
Hosted and monitored for you

For developers and technical teams

Build with TrainLab

Train, evaluate and deploy your own models on the platform, and find what your current LLM calls cost.

23+ task templates
Managed inference endpoints
TrainLab Optimize, free and open source
Docs and API

Start building free

Three problems we solve

Each one starts as a single workflow, measured on your data, before anything else is automated.

Documents

Paperwork your team re-types

Contracts, claims, invoices, clinical papers. A model trained on your documents pulls the fields into your CRM or database, and a person checks only the uncertain ones.

Operations

Requests that wait in a queue

Support tickets, emails, internal requests. An agentic workflow reads each one, routes it, drafts the reply from your knowledge base and updates the systems you already use.

AI spend

An AI bill that keeps growing

Most teams call the biggest model for every task, including simple ones. We find the calls that overpay and move them to a smaller or fine-tuned model, after proving it gives the same answers.

TrainLab Optimize · free and open source

See what every LLM call costs. Prove a cheaper model works before you switch.

One command finds the calls in your Python code, records what each one costs, and tests cheaper models on your real inputs. Your code and data stay on your machine.

pip install trainlab-optimize

curl -LsSf https://trainlab.ai/install.sh | sh

powershell -ExecutionPolicy ByPass -c "irm https://trainlab.ai/install.ps1 | iex"

trainlab uiopens the app in your browser
trainlab trace --capture -- python app.pycost per line of code, no code change
trainlab experiment run --max-cost 2 --opentests cheaper models on your real inputs

trainlab-optimize on PyPI Read the docs

What a result looks like

Call site	Model tested	On 97 real tickets	Verdict
`triage.py:17`Route ticket to a queue	gpt-4o → gpt-4o-mini	97 / 97 same answer 94% cheaper	Switch
`extract.py:40`Extract CRM fields	gpt-4o → 3 cheaper models	wrong product field	Keep gpt-4o

From our open demo app on the real OpenAI API. Your savings depend on your workload; that is why we measure them first.

Found calls worth moving? We'll review the report with you and plan the switch, or a fine-tuned model.

From first call to production

You see results on your own data at the pilot stage, before committing to production.

1
Discovery
A 30-minute call, or run TrainLab Optimize on your code. We agree on one workflow, the data it uses and how success will be measured.
2
Pilot
We build the model, the workflow and the integrations for that one workflow and measure them on your real data against what you do today.
3
Production
It goes live behind an API or a trigger in your tools. We host, monitor and maintain it, or hand over the model for you to run.

Work we've delivered

Production systems in healthcare, and one benchmark anyone can rerun.

Healthcare · clinical data

Outcome extraction from oncology literature

A neuro-symbolic agent that reads oncology publications and extracts patient cohorts, treatments and outcomes into structured records, built to replace an incumbent vendor's process.

Client confidential. Verified metrics available on a call.

Healthcare · clinical trials

Oncology clinical trial matching

Trial eligibility criteria and patient data turned into structured, searchable form so that patients can be matched to oncology trials, with nurse-ready reports from the production database.

Built for TrialTriage.

Open benchmark

Cost of a support desk app, call by call

Our open-source demo app sends 100 support tickets through the real OpenAI API. TrainLab Optimize recorded every call, then tested cheaper models on the same tickets.

Reproduce it yourself: the demo ships with the package.

Deployment and security

Built for teams that handle sensitive data.

Where it runs: Managed by us, in your own cloud account (VPC), or on your servers.
Who owns it: You own the fine-tuned model weights and your data. Leaving means taking them with you.
What we use your data for: Only to build and run your solution. It is not used to train models for anyone else.
Security review: We answer security questionnaires and share our architecture and data-flow documents on request.

Pricing

Start free. Managed solutions start with a pilot on one workflow, scoped on a call.

TrainLab Optimize

Free

Open source, Apache-2.0. Runs on your machine.

Cost per call site and per line
Cheaper-model experiments on your inputs
HTML report and local web app

Install

Platform

Free to start

Train and deploy your own models. No credit card.

Train your first model free
23+ task templates
Managed inference endpoints

Start free

Managed solution

Per project

Model, workflow and integrations, built for one workflow and scoped on a call.

One-time build with model handover, or
Fixed monthly subscription, run by us
No per-token pricing

Questions

Do we need an AI or data-science team?

No. We build, integrate and run the solution. Your team uses it in the tools they already work in.

How much will we save compared to OpenAI or Anthropic APIs?

It depends on the task. Simple, repetitive calls (routing, classification, field extraction) often move to a much cheaper model with the same answers; complex reasoning usually doesn't. We measure it on your own traffic before anything changes, and we tell you when the answer is to keep the model you have.

What is TrainLab Optimize?

A free, open-source command-line tool (Apache-2.0). It finds every LLM call in your Python code, shows what each one costs, and tests cheaper models on your real inputs. It runs on your machine; experiments call your provider with your own API key.

What does Optimize cost to run?

The tool is free. Testing cheaper models replays your captured inputs against your provider, which usually costs a few cents to a few dollars. You set the limit with --max-cost.

Which tools do you integrate with?

Common systems such as HubSpot, Salesforce, Gmail, Outlook, Slack, Google Sheets, Postgres and S3, plus custom connectors for in-house or industry systems. On the call we'll tell you which exist today and which we build for your project.

What's free and what's paid?

TrainLab Optimize is free and open source. The platform has a free start so you can train your first model. Managed solutions are priced per project: a one-time build with model handover, or a fixed monthly subscription where we run it for you.

About

A small team that builds and runs AI in production

TrainLab is built by EtherTech Innovations Pvt. Ltd. in Mumbai, with TrainLab AI LLC as our US company. We build private AI for businesses that don't have an AI team: models trained on their data, the workflows around them, and the integrations that put the results where people already work.

Most of our production work is in healthcare and clinical data, where outputs have to be checked, explained and kept private. We bring the same discipline to every project: measure on real data first, then automate.

Founder: Alpesh Sonar, 14+ years building enterprise software
Patents: 7 filings, 2 granted
Offices: Mumbai, India · Sheridan, Wyoming, USA
Contact: [email protected]

Book a 30-minute workflow assessment

Bring one workflow or one AI bill. We'll tell you what can be automated or made cheaper, and how we'd measure it.

Or install Optimize

Privacy

Privacy notice

How we handle personal data on this website, on the platform and in TrainLab Optimize. Last updated 15 October 2026.

Who we are: TrainLab AI LLC (1309 Coffeen Avenue STE 1200, Sheridan, WY 82801, USA) and EtherTech Innovations Pvt. Ltd. (Mumbai, India) operate this website, the TrainLab platform and TrainLab Optimize.
This website: We don't sell personal data or use advertising trackers. Fonts are loaded from Google Fonts, and booking a call opens Calendly, which receives the details you enter there under its own privacy policy.
When you contact us or book a call: We keep your name, email, company and what you tell us about your use case, and use them only to reply, prepare for the call and follow up on it.
TrainLab platform: We process the account details and the data you upload only to provide the service: to train, evaluate, deploy and support your models and workflows. Your data and fine-tuned model weights are not used to train models for anyone else.
Managed solutions: For client projects, how data is handled, where it is stored and how long it is kept are agreed in the contract, including data processing terms where required. Deployment in your own cloud or on your servers keeps the data in your environment.
TrainLab Optimize: The open-source tool runs on your computer and sends nothing to us. Traces and captured samples stay in a local folder, with emails and phone numbers redacted. Experiments call your own AI provider with your own API key.
Your choices: You can ask us to show, correct, export or delete the personal data we hold about you. Write to us and we will reply within 30 days.

Questions or requests: [email protected]