Anyone can demo AI. We stay until it's running in production.
Mobedo's Forward Deployed Engineers embed inside your team, write the production code themselves, and don't call the work done until your own people are running the system and not us.
A 2025 MIT study tracking enterprise generative AI adoption found that roughly 95% of pilots stall before delivering measurable business impact.
The gap usually isn't the model. It's that nobody owns the unglamorous work of wiring it into real systems, real data, and a real workflow - under real security and compliance constraints, and then stays until it's actually running.
Forward deployed engineering, without the vendor lock-in.
Embedded, not advisory
On-site or alongside your team for the length of the build. The spec usually doesn't exist on day one - creating it with you, in the room, is the job.
Platform-agnostic by design
We aren't selling one AI lab's platform. We build with whatever combination of models, frameworks, and your own systems actually fits - the right answer for one client is rarely the right answer for the next.
Senior-anchored delivery
Every engagement is led by someone who still ships code personally - not handed to a large bench where you never meet the senior people.
Three steps, not a twelve-month program.
One workflow, not a strategy deck
A short, focused diagnostic on one or two high-value workflows. We leave with a specific, scoped build plan - not a company-wide AI roadmap.
Shipping from week one
A senior-anchored pod works inside your environment, prototyping in the open with your team and pushing toward production - not presenting behind closed doors.
We leave when you don't need us
We stay through production rollout and adoption. The engagement ends when your own people can run and extend the system without us.
Built differently from both sides of this market.
vs. the large consultancies
Several of the largest firms now run entire practices built around one AI lab's product. That's a reasonable model - if your problem happens to fit that lab's platform. Mobedo stays platform-agnostic on purpose.
vs. traditional offshore delivery
Traditional IT services pricing depends on a large, junior-heavy bench. Forward deployed work is the opposite shape by design: small, senior, and accountable - you always know exactly who's building your system.
This works best when -
- You already have a specific, real workflow in mind - not just "we should do something with AI."
- You've tried a pilot or proof-of-concept that never made it to production.
- You want your own team to end up owning the system, not depending on us indefinitely.
Start with one workflow, not a strategy.
Bring us the specific thing that's stuck in pilot. A scoping call is short, and ends with a real answer on whether this is worth doing together and not a follow-up deck.