Boutique Data & AI Consultancy
Ideaticon leads data functions, builds and migrates platforms, fixes identity and quality problems, and ships data products and applied AI. Founder and principal Teo Ionita leads every engagement and stays close to the implementation.
Selected work
What we help with
Teo leads each mandate, with a specific result agreed at the start.
Roadmap, architecture, team design, hiring, vendor choices, and delivery leadership.
Clear decisions, an executable plan, and a team moving in the same direction.
Lake and warehouse architecture, event pipelines, modeling, identity resolution, orchestration, and governance.
A production platform that is observable, documented, and owned by the team.
Contract mapping, historical backfills, parity testing, staged cutover, and rollback planning.
The new platform live, with evidence that the data still means the same thing.
Use case selection, data and evaluation design, model integration, fallbacks, deployment, and monitoring.
A measurable workflow or product with an owner, known costs, and clear failure modes.
How to engage
Choose the commercial shape that matches the mandate. Teo Ionita leads every engagement.
Teo takes responsibility for the roadmap, architecture, hiring, vendor choices, and delivery.
Typical shape Start with a scoped 40 hour assessment. Continue as a monthly engagement if there is more work to do.
Use this when You need senior leadership but are not ready to hire a full time executive.
A specific build: a new platform, a legacy migration, event pipelines, identity resolution, or warehouse architecture on Azure or AWS.
Typical shape Architecture and delivery across Databricks, Snowflake, BigQuery, event pipelines, orchestration, and governance. Teo leads the design and the important implementation work.
Use this when You know what needs to be built and want one senior person accountable for it.
Products that change how the business works: automated workflows, analytics tools, model backed features, or AI agents grounded in company data.
Typical shape One use case, from workflow and data design through evaluation, deployment, measurement, and handover.
Use this when You need data or AI to change a decision, a customer experience, or an operating process.
A fractional engagement can include platform and product work. Platform and product projects can also stand alone.
Selected Work
What was built, what made it hard, and what changed.
Contact
Send the current stack, scale, deadline, and what needs to change. Teo will reply within 48 hours and say whether Ideaticon can help.