Services
AI integration and product engineering services
Three offerings that cover the path from “we should use AI” to a product your customers rely on. Engage one, or combine them.
AI Enablement
A fixed-price assessment that ranks your AI use cases, then a pilot that puts the first one in production with evaluations, security review, and your engineers trained to run it.
See what you getProduct Engineering
A lead and one or two senior engineers build your product in two-week iterations, each ending in a demo you can use, with tests, CI/CD, and runbooks included.
See what you getPlatform & Data
An audit of what exists, then the smallest Google Cloud platform that fits, with infrastructure as code, data pipelines with lineage, and a versioned, reversible way to deploy models and prompts.
See what you getWhich one first?
Side by side.
Not sure where to start? The assessment inside AI Enablement is the usual first step; it tells you which of the other two you actually need.
Scroll sideways to compare →
| Attribute | AI Enablement | Product Engineering | Platform & Data |
|---|---|---|---|
| Format | Fixed-price assessment, then a milestone-priced pilot that takes one use case to production. | Scoped build with a demo every two weeks; milestone or time-and-materials pricing with a weekly cap. | Audit first, then an infrastructure-as-code build with handover sessions for your platform owners. |
| Timeline | 2–3 weeks assess, ~4–8 weeks pilot | Typically 6–16 weeks per product phase | Typically 3–10 weeks |
| Team | 1 lead engineer + 1 senior engineer | 1 lead + 1–2 senior engineers | 1 cloud architect + 1 data/ML engineer |
Not sure which one? Start with the assessment.
Two to three weeks, fixed price, and you leave with a ranked roadmap whether or not we build it together.
Book a free 30-minute scoping callWe reply within two business days. No deck or RFP needed.