Custom model training
Models trained on your own data for prediction, classification, ranking or recommendations.
Services / Machine learning
Machine learning development
We train, deploy and monitor machine learning models in production. Not notebooks that stop at a good accuracy score, but models wired into your product and kept healthy over time.
We start from your data and the decision the model needs to support, then build the pipeline, the model and the infrastructure around it.
WHAT WE BUILD
ML infrastructure and deployment
Training and serving pipelines that run reliably in your cloud, not just on one engineer's laptop.
Model monitoring and retraining
Alerts when performance drifts, and a retraining process to bring it back.
Data pipelines
Clean, versioned data flowing from your systems into training and back into your product.
Tech we use
- PyTorch
- Python
- PostgreSQL
- Docker
- Terraform
- AWS
- GCP
HOW WE WORK
A clear process, start to finish.
01
Discovery
We map the scope, define the architecture, and hand you a fixed proposal. If we're not the right fit, you keep the spec and walk away.
02
Build
Two-week sprints with a working demo at the end of each one. You see progress before every invoice, not after.
03
Launch
Deployment, monitoring, and handover. Full IP transfer - you own the code and the infrastructure from day one.
04
Support
Eight weeks of included support after launch, or an ongoing retainer if you'd rather keep the team.
FAQ
Common questions
How much does it cost?
Every project is fixed-price. We start with a paid two-week discovery, then give you a fixed proposal for scope, timeline and price. Tell us your budget range in the form below and we'll say honestly whether it fits.
Do we have enough data?
Often more than you think, but not always. Discovery includes an honest look at your data, and if it isn't enough yet, we'll tell you what to collect.
Machine learning or an LLM?
For many text tasks, an LLM is now faster to ship. For predictions on your own numeric or behavioural data, a custom model usually wins. We'll recommend the simpler option that does the job.
Who owns the code?
You do, from day one. We transfer full IP, and the code and infrastructure live in your accounts, not ours.
What happens after launch?
Eight weeks of support are included after launch. After that, you can take over in-house or keep us on an ongoing retainer.
Other services
CONTACT
Tell us whatyou're building
We reply within one business day. If it's not a fit, we'll say so and point you somewhere better.