FROM MODEL TO PRODUCT
Model deployment & productization
Turn research code, algorithms and models into usable, deployable tools with a clear handover.
Where does research model deployment begin?
Start with a reproducible model, intended users and an on-campus or cloud environment. We can then scope API integration, interface development and software handover.
Research groups with an existing model or algorithm prototype who want colleagues or partners to use it.
A model running in a research environment is a starting point. We work with your team on the user journey, interfaces, deployment and a verifiable end-to-end workflow.
What we can deliver together
- A working prototype with an agreed scope
- Model API and task processing flow
- A user-facing interface
- Deployment, usage and handover documentation
What to prepare
- Model code, dependencies and running instructions
- Permitted test inputs and expected outputs
- Target users, infrastructure and data constraints
How we evaluate completion
Run agreed examples end to end in the target environment. Review outputs, failure handling and documentation. Evaluate model quality separately from engineering usability.
Scope of collaboration
Start with a focused project. Compute, model improvements, long-term operations and additional integrations are scoped separately.
How collaboration works
- 01Define users and a core scenario
- 02Review model requirements
- 03Build the smallest usable prototype
- 04Validate, deploy and hand over
Common questions
Can we start with only a paper or idea?
Yes, with a feasibility discussion. Reproduction and validation must be scoped first if runnable code does not exist.
Can the tool run on our own server?
We can discuss self-hosting after reviewing hardware, network access, dependencies and operational constraints.
Further reading
GOOD QUESTIONS START GOOD PROJECTS
Bring a question.
Let’s work on it.
A model, a repetitive workflow, or research that deserves a clearer story. Start there.
Let’s talk research