AI Core
AI Implementation & Engineering
MLOps, data pipelines, deployment, monitoring - end to end. We build the systems that survive a production incident at 2 a.m.
What We Deliver
Deliverables, not features.
Every engagement ships concrete artefacts. You always know what you're getting and when.
- End-to-end ML pipelines on AWS, GCP, or Azure
- Model deployment with CI/CD
- Observability: drift, latency, accuracy dashboards
- Security review and SOC 2 alignment
- Runbook and handover documentation
- 90-day hypercare and SLAs
Our Process
Four phases. Zero surprises.
01
Discovery
Map your context, constraints, and success criteria.
02
Architecture
Design the system: data, models, integrations, governance.
03
Build & Deploy
Ship to production in 8–16 weeks with full observability.
04
Measure & Optimize
90-day hypercare, retraining, and continuous KPI tracking.
Typical Outcomes
16 wks
average time to production
99.9%
median uptime across deployments
3x
faster than market average
Ready to ship AI Implementation & Engineering?
Tell us about your context. We'll respond within 24 hours with a scoped proposal.