07 · AI Infrastructure
Cloud Migration
Move AI workloads off third-party APIs and into your own cloud — without downtime.
Overview
What you get
Cost + capability benchmarks, shadow-traffic validation, inference deployed in your account, and a unit-economics dashboard that proves the move.
The problem
Why teams call us
- Third-party model spend is now a line item finance asks about every month.
- Data residency or VPC isolation is becoming a sales blocker.
- Vendor pricing changes ship faster than your roadmap can absorb them.
Approach
How we work
- Benchmark cost + quality across providers before any migration.
- Shadow production traffic for at least one week to de-risk cutover.
- Cutover with rollback path and per-tenant gradual ramp.
Process
Week by week.
- 01 · Week 1
Benchmark
Cost, capability, latency across providers.
- 02 · Week 2–4
Deploy
Inference service in your cloud + shadow traffic.
- 03 · Week 5–6
Cutover
Gradual ramp with rollback, per-tenant monitoring.
- 04 · Week 7–8
Prove
Unit-economics dashboard pre/post, handoff.
- Spend on third-party model APIs is material and growing
- Need for data residency or VPC isolation
- Engineering org that can own the resulting stack
- Pre-product or pre-scale usage where cost isn't yet material
- Teams without anyone to own infra post-migration
- Use cases that genuinely need frontier-only model capability
Deliverables
Everything we ship
- 01Cost + capability comparison across providers
- 02Cutover plan with shadow-traffic validation
- 03Inference service deployed in your account
- 04Unit-economics dashboard tracking pre/post cost
- 05Rollback runbook and on-call handoff
Outcomes
What you walk away with.
Inference running in your cloud, under your control, with a named monthly cost reduction and a documented rollback path.
Tooling
Stack we ship against
Model- and infra-agnostic. We adapt to your stack, not the other way around.
FAQ
Real questions, technically answered.
- Are you AWS partners?
- No — we're not in the AWS Partner Network. We do deploy on AWS regularly (alongside GCP and Azure) and recommend whichever provider wins your benchmark.
- What about latency vs hosted APIs?
- Self-hosted inference typically matches or beats hosted P95 latency at scale, especially with batching.
- Can we keep some traffic on the hosted API?
- Yes. We support hybrid routing per tenant or per intent, with cost dashboards for both.
Related engagements
Often paired with.
05 · AI Implementation
Fine-Tuning & Inference
Specialised models that beat general-purpose ones on accuracy and unit cost.
08 · AI Infrastructure
DevOps & Infrastructure
Production-grade infra your team can extend, scale, and on-call against.
09 · AI Infrastructure
Production Telemetry
When your AI gets worse, your team knows in minutes — not quarters.
Next step
Ready to scope Cloud Migration?
Book a discovery call. We'll confirm fit, sequence the engagement, and have a Statement of Work in your inbox within a week.
Refundable if we're not a fitWritten diagnostic in 48 hoursSession run by a founder, not a sales rep