Joining your team and confirming the value through results.
Having AI take over the work people do. That's what FDEs do.
Forward Deployed Engineer.
FDEs look at your challenges and decide with you which approach fits best: deploying a ready-to-use product as is, using OPRA to bring AI to the operation itself, or building your own AI services. They then run it within your operations, embed it, and extend it to other operations. They work with TIGEREYE's own AI and combine it with other companies' AI to fill any gaps.
From your first step to bringing development in-house, you can choose how we engage.
These are the ways FDEs engage when development is involved.
01
The starting point. Begins with a free code assessment that takes about three business days
02
Contract development using AI. One case took about seven weeks
03
We build alongside your team and help you bring development in-house
Understand your operations and identify what to hand over to AI
Design the operations and choose the right technology
Implement AI to fit your operations
Run it within your operations
Check the results to confirm it works, and keep it in use
Extend it to other operations and departments
Speed
This is a case of AI-driven development.
Users
About 10K
Development period
About 7 weeks
About 6 to 14 months with conventional development
Codebase size
About 250K lines
Productivity
4–8x
Approximate, compared with conventional development
The development team had about 30 people.
Quality and cost
All figures are estimates based on a scenario we modeled.
Time per review
About 1/4
About 60 minutes → about 15 minutes
Cost of incidents caused by releases
50–70% lower
Cost of technical debt
60–80% lower
Ramp-up time for new team members
About 1/2
There are two types of contracts: projects (FDE) and ongoing services (monthly and usage-based fees for the platform and ready-to-use products).
This is an example of the flow when you start with building your own AI services (NERVA).
If you deploy ready-to-use products, each product also has a monthly fee.
Toward workplaces where AI is simply part of everyday work.
