Here is how we engage, distilled from years of delivered projects. We combine deep data exploration with focused experiments and tight feedback loops with your team. A typical engagement runs 6 to 8 weeks; larger projects are scoped into steps.
Timeline
Evaluation
We talk about your goals, preferably in person. R&D work starts once a usable compute environment is ready and your data is accessible within it.
Discovery
We do a deep dive into the data, metadata, and your business requirements. The goal is to check feasibility and develop a sound Statement of Work (SOW) with a realistic timeline, milestones, success metrics, and stop/go decision points. We typically work on an hourly rate during this phase.
Execution
We work as outlined in the SOW with weekly touchpoints. We include your subject matter experts as needed, but won’t fill your calendar with meetings — status updates and discussions happen in a shared project workspace that keeps everything in one place and tracks progress for everyone. We often switch to milestone-based pricing for this phase.
Knowledge Transfer
We collect, document, and hand over all artifacts: a well-documented code repository, a summary report, and a final presentation for stakeholders. We support your team in deploying models and integrating the tools we developed into your workflow, and discuss next steps and future opportunities.
Technical Infrastructure
On-Premise
- Ubuntu LTS (latest) with developer tools
- Python 3.11+
- 64 GB+ RAM
- NVIDIA GPU with 24 GB+ VRAM
Cloud
- AWS
- Google Cloud
- Microsoft Azure
- DigitalOcean