Lab engineers
Built for their largest accounts, deploying their own models. OpenAI's deployment company launched with more than $4B. ↗
Forward-deployed AI engineering, by industry.
A senior engineer on your team, on your systems, choosing what to buy and building what should stay yours. OpenNash tests AI vendors and models on your own data and puts one workflow into production in 4 to 8 weeks.
- Free 14-day pilot
- On a company laptop, inside your network
- We train your team
- Vendor-agnostic
- You own the code
Industries
01
Finance and Private Equity Portfolios
AP invoice intake and PO match 02Executives
the daily executive brief 03Small and Midsize Law Firms
docket checks and proposed Clio tasks 04Insurance Brokerages
certificate request intake 05CX and Support Teams
one tier-2 ticket class in shadow mode 06GTM and Growth Teams
source-linked account research for one segment 07Traditional BPO Firms
QA scoring on one client queue 08Healthcare Operations
prior authorization packet prep, read-only 09Real Estate and Property Management
maintenance request triage 10Professional Services Firms
first drafts of one recurring deliverableWhy forward-deployed engineers
AI can do the work. Running it inside your company is the gap.
Vendor teams
Configure their own product, priced per seat or per resolution.
OpenNash
A small senior team, ex-Palantir, Meta, and Databricks. Any model, any vendor. Free pilot, then a flat monthly fee.
~15OpenAI engineers on site at one chip maker, 3-6 months to production
6 weeksof hands-on work for one tax schedule to reach 90% precision and recall
60% → 90%+on a telco's own production tests, over six months
Even OpenAI closes the gap with engineers in the room. Source: OpenAI, What FDE means at OpenAI, Oct 2026.
FAQ
What is forward-deployed AI engineering?
A forward-deployed engineer works inside your team, on your systems, and owns the technical work of getting AI into production: vendor and model evaluation, integration, test cases, security review, and rollout. OpenAI and Anthropic both employ forward-deployed engineers. OpenNash provides them independently of any model company or software vendor.
Which industries does OpenNash work with?
PE-backed portfolio companies, executive teams, small and midsize law firms, insurance brokerages, customer support teams, GTM and RevOps teams, BPO firms, healthcare operations, property management, and professional services firms.
How does an engagement start?
With a free 14-day pilot on one workflow. We write the test cases with your team in week 1, and the pilot has to pass them before anything goes further. A passing workflow reaches production in 4 to 8 weeks.
What happens after launch?
We run and improve the workflow on a flat monthly fee, or your team takes it over. The code, prompts, tests, and runbook live in your repository either way.
Why you need one
Every published AI result needed engineers inside the company. We can be yours.
Bring one workflow, the systems it touches, and the vendors you are weighing. A 30-minute call is enough to say whether we would buy, build, or leave it alone.
On your laptopWe work on a machine you issue, behind your VPN and SSO. We file the access tickets and chase them.
Next to your teamWe sit with the people who do the work and build around how they actually work.
IndependentWe do not work for any model company or software vendor, so we test the alternatives and tell you what we would buy.
SeniorEngineers who have shipped production systems at Palantir, Meta, Databricks, and Global 2000 companies.