Data & AI systems
in production.
Governed data platforms, agentic AI, shipped to production. Ten years hands-on, including several at AWS.
A few days on site. A written diagnosis.
On-site discovery & first-impressions memo
Embedded with your teams: stack, code, data. Within 24h, the first-impressions memo — what we saw, what is solid, what needs attention, what we would do. In writing.
Architecture proposal
Built on patterns proven in production. Costed, argued, trade-offs made explicit.
Build, by the same team
The people who did the discovery do the build. Short fixed-scope engagements, seniors only, skill transfer included.
Three families, one shared entry point.
Discovery & first-impressions memo — a few days on site, a written diagnosis within 24h. Full data stack audit as an option.
- Build & optimize your data platform on AWS — state of the art, costs under control
- Industrial-grade data pipelines — use cases in production, not POCs
- Migration & modernization — to a modern data stack
- Platform selection & architecture — AWS native, Databricks, Snowflake
- End-to-end agentic AI use cases — from business need to production, customer-facing included, with the ops to match
- Scaling up — agentic platform / agent factory, governance included, build vs buy
- AI-assisted development — Claude Code, Kiro, Codex on AWS, Amazon Quick, Cowork + governance framework
- Talk-to-your-data — governed chat over your lake / warehouse
- On-demand AWS data expertise — Redshift, Glue, EMR, Athena…
- Data & AI-augmented contact centers — Amazon Connect
- Fractional data & AI leadership — scoping, trade-offs, hiring
- Training — AWS cloud, data on AWS, AI on AWS, AI developer lifecycle
Architectures proven before, adapted to your context.
Governed chat-with-your-data
Query the warehouse in natural language without breaking access control: semantic layer, fine-grained permissions, reliability evals.
Governed coding assistant for your teams
Claude Code, Cortex, Kiro, we guide you to the one that fits your needs and ship a deployment kit that keeps costs, fallbacks and data sovereignty under control.
Modern data platform on AWS
The foundation that makes everything else possible: open lakehouse, modeling, quality, catalog, sized for a small team.
Agent-accelerated migration
Legacy (Oracle, SQL Server, Talend, DataStage…) to the modern data stack, with schemas, code and tests converted by agents and validated by humans.
Each pattern is a documented starting point. The work is adapting it to your systems, constraints and teams.
Your first deliverable lands
within the week.
A 30-minute call to scope the discovery.
On-site discovery, inside your teams, on your real stack.
The first-impressions memo, in writing. You decide what comes next with full information.