Inside your team. They join your Slack or Teams, your standups and your repos, and work day to day like the rest of your team.
Based in Pune · India
Senior AI engineer(ing), embedded in your team.
Forward deployed AI engineers who work remotely as part of your team. They learn how your business runs, then build AI into the way it actually works.
Trusted by leading enterprises and high-growth startups
01 · The real gap
The model isn't your advantage. The engineer(ing) is.
Your competitors get the newest model the same day you do. What they can't get quickly is an engineer who understands both the model and the business it's being dropped into.
Hiring one takes months, if you find one at all. Most who apply have built chatbots, not systems that hold up with real customers, real data and real consequences.
So we lend you ours.
02 · AI FDE
Our engineers. On your team.
Forward deployed means they work on your problems, in your systems, with your people. They do it remotely, so you get a senior AI engineer in days rather than after months of hiring.
03 · Getting started
How an engineer joins your team.
No twelve-week discovery. No hundred-page strategy. Working software before you commit to anything bigger.
04 · Under the hood
Simple on the surface. Serious underneath.
Your people see something that just works. Your CTO sees how it was built.
05 · Already embedded
Clients love working with us.
More than five years. Steinn engineers working inside their team for more than five years.
Over a year. AI forward deployed engineers embedded for over a year.
View the case studyPredictive PeopleAn AI-powered hiring platform. An AI-powered hiring platform, built and delivered on time.
View the case study06 · Engagement
Simple to start. Easy to scale.
Begin with one engineer and one workflow. Add more when the results earn it.
Sprint
Two weeks. One engineer. One workflow taken from idea to working build.
- Workflow mapping with your team
- Working build in your environment
- Production plan and estimate
Dedicated FDE
Dedicated AI engineers working remotely on your team, shipping workflow after workflow.
- Remote, on your working hours
- Evals, monitoring and guardrails included
- Full handover whenever you're ready
07 · FAQ
Questions.
Do your engineers work remotely?
Yes. They work remotely as part of your team, joining your Slack or Teams, standups and repositories. We agree working hours around your team's day before the engagement begins.
How is this different from outsourcing or staff augmentation?
Our engineers work inside your team, learn how your business runs and take responsibility for building working AI systems. The work includes testing, security checks, monitoring and documentation, not just engineering capacity or advice. You own the code from day one.
What happens to our data?
Your data stays in your environment. Engineers use least-privilege access through your own accounts and controls, follow your security rules and only access what the work needs. Client data is not used to train general-purpose AI without express written agreement.
What if the sprint shows AI isn't the answer?
We review the results together at the end of the paid two-week sprint. If AI is not the right approach, we explain why and recommend what to do instead. You can stop, change direction or continue without a long commitment. The work and documentation remain yours.
Meet the engineer who'll build it.
Tell us the one process you'd fix first. We'll introduce the engineer who'd build it, before you commit to anything.
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