AI Services From Model to Production
Our twelve-person team builds and runs the models, agents, and data pipelines your business depends on, with clear scope and measurable results.
What's Included
Deliverables include trained weights, evaluation reports, and a documented handover to your ML team.
Book a CallTypical Results
Ongoing Support
We monitor deployed systems and stay on call after launch, with clear response times in every contract.
How We Build Every Engagement
Each project follows the same standards for security, testing, and handover.
Existing Stack Integration
We connect to your data warehouse, CRM, and internal tools without replacing what already works.
Real-Time Data Sources
Event streams, sensors, and application logs can feed models and agents with current information.
Private and On-Premises Options
Models and data can stay inside your own cloud or hardware when compliance requires it.
Production Reliability
Monitoring, alerting, and fallback paths are built in, so systems keep running after launch.
Have a project in mind? Let's scope it.
Book a call with our team to discuss your goals and get a clear plan.
Our Delivery Process
Four stages, from first review to production monitoring, with clear deliverables at every step.
We review your data, systems, and workflows to find the bottlenecks worth solving first.
- Current-state assessment
- Systems and data audit
- Prioritized opportunity list
We build a small, working prototype to test the approach on real data before committing budget.
- Working prototype
- Model accuracy report
- Go or no-go recommendation
We harden the prototype, connect it to your stack, and deploy it with your engineers.
- Production deployment
- System integrations
- Team handover sessions
We track performance, watch for model drift, and tune the system as your data changes.
- Performance dashboards
- Drift and quality alerts
- Quarterly model reviews
Ready to start with Phase 01?
Book a call and we will scope a discovery review for your team.