Elite teams,
deployed into
your business.
Senior engineers, embedded in your team, shipping Data+AI on Databricks: migration, data engineering, and the AI and ML workloads that have to survive production.
10 → 3
Across our clientele, delivery work that took a team of ten now takes three.
Fabric is our own context store, memory and agent runtime, built on Databricks. It is free and Apache-2.0 licensed. We sell the engineering, and we run our own company on Fabric, which is why we can open the workspace and show you one running.
How Fabric does itAll in on Databricks. Temporal underneath the things that must not fail.
Production software for companies that needed more than a dashboard.
Everyone can hire developers. We put the team that solves it in the room with you.
Fill the seat.
Own the problem.
TechFabric was started in 2017 on exactly that difference, and it still decides how we staff. The engineers who scope your work are the engineers who build it, and the people in the first call are still on it at go-live. Nobody gets handed down to a delivery pool once the contract is signed.
Nine ways to get our team on your problem.
Migrations to Databricks
Off Snowflake, Synapse, Teradata and SQL Server, onto Lakehouse and Lakebase, with a cutover you can reverse.
Data engineering
Pipelines that hold, tables people trust, and a bill that stops surprising you.
Data science & AI
Context stores, memory, retrieval and governed agents that survive production.
AI/BI & Genie dashboards
Genie answers a business question in English, and the answer holds up when somebody checks it against finance.
Machine learning
Models that reach an endpoint, get retrained on a schedule, and can be rolled back by somebody who was not there.
Data & AI governance
Unity Catalog designed so grants hold, lineage survives a refactor, and an agent inherits permissions instead of routing around them.
Forward-deployed teams
Product, design and engineering people who sit inside your business, find the real problem, and ship it.
Product development
Full product delivery: multi-tenant architecture, operator consoles and the data layer under them. Shipped as Databricks Apps when the product belongs next to the lakehouse.
APIs & durable systems
Long-running operations that survive restarts and partial failure. Temporal under the lakehouse jobs, agent runs and approvals that must not half-complete.
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 Fabric Airlift carries an executable playbook for, from Snowflake and Synapse to Teradata and SAP. Airlift is free and open source, and it runs inside your own workspace. The first two weeks of a migration are sold on their own as the Migration Readiness Sprint.
Eight accelerators for getting onto Databricks.
Some of the work repeats itself. Every warehouse migration arrives at the same reconciliation problem, and every agent meets the same wall the first time a step times out. So we built the software for those parts once rather than solving them again on each engagement.
All of it runs inside your own Databricks workspace, under your Unity Catalog, on data that stays in your boundary. All of it is free and Apache-2.0 licensed. We deploy and run it for you during an engagement, or you take the source, change whatever does not fit, and deploy it yourself. Nothing here is a licence you keep paying for, and nothing stops working the month we leave.
- Fabric PlatformGovernance and audit runtime
- Fabric HarnessAgent development framework
- Fabric AirliftMigration accelerator
- Fabric RunwayDatabricks App delivery
- Fabric RadarWorkload observability
- Fabric TowerHuman oversight console
- Fabric ExperimentsEvaluation and quality
- Fabric GTM BrainReference implementation
2017
Founded
By engineers
115+
People
Engineering, product, design
80
Databricks-certified
Engineers on the bench
15 yrs
Average experience
Per engineer
Put that project back on the roadmap.
Not a sales call. A technical conversation with a senior engineer about what you are trying to build and what it will take. Some of those conversations end with us saying it is two weeks of work your own team should do, and we would rather tell you that in March than bill you for finding out in June.