Advisory
Architecture and data reviews, go-no-go, priority plan, async in an agreed window.
For: Team exists; need senior Data & AI judgment.
A focused project, ongoing support, or hands-on team training. We’ll help you choose the right format. Hands-on Data & AI consulting - from raw data to production results. Founder-led. No junior handoffs.
A defined outcome, scope, timeline, and price.
Choose the scope your team needs - these are examples, not required stages. Ownership means post-go-live care of a specific system - not monthly Data & AI capacity.
Ship, redesign, pause, or kill. A defensible verdict on whether your PoC can become a production system - with a 90-day roadmap if it can.
Data architecture, RAG, agents, or platform design. You leave with diagrams, eval plans, prototypes, and ADRs your team can build from.
After go-live: monitoring, least privilege, and safe iteration - not a handoff-and-disappear.
Hire monthly Data & AI capacity - from data foundations to production AI. Bring a use case or we’ll find the right one in the first days.
Monthly capacity with a hands-on Data & AI consultant - pipelines, models, agents, and production - with or without a use case yet.
Architecture and data reviews, go-no-go, priority plan, async in an agreed window.
For: Team exists; need senior Data & AI judgment.
All Advisory plus a weekly embedded day: pipelines, ML/LLM/agents, and production care on 1-2 initiatives. If there is no use case yet, the first days are clarity, then we build.
For: Want hands-on in the team rhythm.
All Embedded plus heavier hands-on across data, AI, and infra.
For: Deep push / multiple workstreams.
No use case yet? Fractional still works - first block is clarity, then we build.
In the monthly pool: ETL / lakehouse / DWH, orchestration, ML / LLM / agents, production (evals, access, cost), and business intelligence or apps when they serve the system. Use-case clarity when it is missing.
Out of the monthly pool: large greenfield products, 24/7 ops, and formal security / pen tests - those are a separate scope (Audit, Sprint, Ownership, or custom).
Use AI in everyday work - research, analysis, documents, and repeatable workflows. Practice on tasks relevant to your team.
Apply AI to software development and technical workflows - with practical methods for reviewing outputs, testing, and working safely with company data.
Standalone workshops or training alongside an implementation, tailored to your team’s tools and experience.
No demo required. We’ll discuss your goals, data, or team’s learning needs and recommend a practical next step.
Optional analytics and masked session recordings help us improve this site. They load only with your consent. Form content is excluded. See privacy.