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Forward Deployed Engineers
AI engineers inside your teams
Our engineers join your teams, work in your tools and stay through to production.
How it works
01 · Getting started
Onboarding
The engineer is given access in line with your procedures, reads your code and meets the people who will use the system.
02 · During the project
Delivery
The engineer works with your teams, in your cloud, following your code review process.
03 · Go-live
Handover
The system goes into production and your teams take it over.
Engagement models
- Embedded engineer
- An engineer joins your team for the full length of the project.
- Project team
- A dedicated team takes on a use case, from scoping to production.
- AI technical leadership
- A senior engineer advises your teams on architecture decisions and reviews the code.
- Terms
- Time and materials, or a fixed price per work package.
What you get
- The code in your repositories
- Code, configuration and documentation are delivered in your repositories and tools.
- A weekly demo
- On your real data, in front of the people who will use the system.
- A planned handover
- Your teams take over the system with its documentation and training.
- Your tools, your cloud
- We work with the tools, cloud and models you already use.
Use cases
PharmaMapping marketing authorisations across 36 countries
A single workbook of authorised products, country by country, with the manufacturing sites. Every data point links to the official page and the text extract that supports it.Forward Deployed Engineers
All sectorsAI experimentation platform with a catalogue and unified access
All AI experiments go through a single portal, with enterprise authentication, a request form and usage tracking. A new use case starts from a shared foundation.Forward Deployed Engineers
“We chose to rely on TW3 Partners to develop this platform, a very agile start-up at the forefront of AI technologies […]”