Your Databricks consulting team. Live in six weeks.
Azure
Google CloudWe're the Databricks team you call when the migration stalls or the AI never left the demo. Senior engineers, no junior bench, who design the platform, build it with your team and stay to run it.
Winner in Databricks' global AI app contest, the Genie-Powered App Challenge, 2026Why data teams call us
The team you call when it stalls.
The migration has been nearly done for a year.
Half the jobs moved and the rest still run on Synapse, Teradata or Snowflake, so you're paying for both. We count what actually runs, then cut over in waves you can reverse.
Finance and operations bring different numbers to the same meeting.
Usually nobody wrote down the grain. We define each measure once, in governed tables, so every dashboard reads the same number.
The AI pilot worked in the demo and stopped there.
We put the model or agent on the permissions, logging and monitoring production asks for, with a person approving where it matters.
The pipeline backlog grows faster than your team can clear it.
Our engineers join your team in your repositories and leave pipelines your own people can run and explain.
Client results
Real clients. Real numbers.
- Athlinks · Temporal · AWS
Sources that never agreed on who an athlete was, and a matching run that couldn't restart if it died halfway. 400M+ Athlete records unified.
Read the case study - Auto Approve · Azure · React
Loan agents copying every refinance request by hand between the CRM, lender sites and Excel. 2× Monthly loans processed, with no additional agents hired.
Read the case study - Funko · Dynamics 365 Business Central · AWS
Distribution moved into one Arizona warehouse, and the system running it had to keep up. 2× Operational efficiency.
Read the case study
Production software for companies that needed more than a dashboard.
Why us
Senior engineers, no junior bench.
80
Databricks-certified engineers
An award-winning Databricks engineering team, certified on the platform you run.
15 yrs
Average experience per engineer
They've worked in unfamiliar enterprise codebases many times, so the ramp on yours takes days.
115+
Engineers across four offices
Gilbert in the Phoenix metro, Amsterdam, Dnipro and Hyderabad, with one way of working across all four.
Winner
Databricks Community Genie-Powered App Challenge, 2026
Creativity & Originality track, second place. And we're a Databricks partner that runs its own company on the same stack.
The winning appFill the seat.
Own the problem.
The engineers who scope the work build the system and remain on it at go-live. The people in the first call are still there when production traffic arrives.
Databricks consulting
Databricks, done right the first time.
Data engineering and ETL
Lakeflow pipelines and medallion tables that land on time, with data quality checks on every layer and a cost your team can see.
Migration to Databricks
Off Snowflake, Synapse, Teradata, Hadoop and SQL Server, scoped before you commit to a date and cut over in waves you can reverse.
Governance with Unity Catalog
Catalogs, permissions and lineage designed so the grants actually hold and the auditor's questions have answers.
MLOps
Models that leave the notebook, with features defined once for training and serving, every run tracked in MLflow and a monitored endpoint on Model Serving.
AI agents
Agents that work under their own identity and your Unity Catalog permissions, with a person approving where it matters.
Lakebase applications
Postgres inside the lakehouse, and the application your people use on top of it.
Databricks is the platform we have gone deep on, and Temporal sits underneath the operations that must not fail. Where a system has to reach past the workspace we build on Azure, AWS, Google Cloud and Cloudflare too.
27
source platforms our migration playbooks cover, from Snowflake and Synapse to Teradata and SAP. Before you commit to a date, two weeks at a fixed fee inventory the estate, find the jobs that matter and the tables nobody has queried in a year, and end in a wave plan.
Before the model
The grants decide what your agent can say.
An agent that inherits a user's Unity Catalog grants can't hand back what that user was never allowed to read. Tell it the same thing in a prompt and you're trusting the model's judgement, which is a harder promise to make to an auditor. So we design the catalog and the grants before anyone builds on top of them.
Our engineers don't start from an empty repository.
We bring seven accelerators of our own to the work, for moving an estate, building and testing agents, and keeping people in control of them. They're free and Apache-2.0 licensed, they run inside your Databricks workspace under your Unity Catalog, and nothing stops working the month we leave.
Beyond Databricks
We also build software, and implement Dynamics 365.
Software on Lakebase and other clouds
Custom web and mobile applications were the trade we started in, years before our Databricks bench. We still build them, on Lakebase or on Azure, AWS and Google Cloud. Custom software development.
Dynamics 365 and Business Central
We're a Microsoft Solutions Partner and implement Dynamics 365 Business Central, and AmTab's modernisation ran on Dynamics 365 and Power Automate. Start with Dynamics 365 consulting, Power BI reporting or the Business Central reporting assessment.
From our engineers
All articles- Oct 12, 2026 · Ihor Seleznov
Agent 365 plus API Management: MCP tool governance you can actually enforce
Microsoft's Agent 365 and Azure API Management preview let you decide, in one place, which company tools your AI agents can use. Who should care, and the cost.
Read the article - Oct 12, 2026 · Preetham Reddy
A DuckDB file with no data in it is a catalog you can email. Here's where we'd use it
DuckDB can ship a few hundred KB of view definitions over a Delta Lake. Where we'd use it on client work, and the Unity Catalog line we would not cross.
Read the article - Oct 12, 2026 · Preetham Reddy
Muse Wonder: Meta's frontier models for agents
Meta's Muse Wonder claims to pause before risky actions and remember context across sessions. What that would change for approval gates on production agents.
Read the article
Put that project back on the roadmap.
Bring the project, the deadline and the system it has to fit. A senior engineer will work through the first decisions with you.