AI/ML Integration
Bringing models into the systems your business already runs, without a rebuild.
A model only pays for itself once it is part of a workflow. We connect models to your existing applications, data stores and processes so predictions arrive where decisions are made.
What we build
- APIs and services that expose models to your applications
- Event-driven pipelines that score data as it arrives
- Connectors to ERP, CRM, ticketing and data warehouse platforms
- In-product experiences: suggestions, rankings and alerts inside the screens people use
How we deliver it
- An integration map first: systems, data flows and the failure cases that matter
- Cloud-native, service-based architecture that scales with load
- Fallbacks so the business keeps running when a model or vendor is unavailable
- Monitoring of latency, cost and prediction quality per integration
Where it fits
- Models exist but nobody outside the data team uses them
- Legacy systems that can't be replaced but need to get smarter
- Vendor AI services that need to be stitched into your own workflow
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Learn morePut ai/ml integration to work
Book a short call with our engineers to talk through your data, your constraints and what a first version could look like.
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