

Elite teams,
deployed into
your business.
Small senior teams of product, design and engineering, shipping production Data+AI on Databricks in weeks.
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. We sell it, and we run our own company on it, so 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.
Preetham Reddy started TechFabric in 2017 on exactly that difference, and it still decides how we staff. Troy Busot runs engineering, Andrew Ripley runs product, Sam Salima runs design. You will keep meeting them after the contract is signed.
Five ways to get our team on your problem.
Databricks implementation
Lakehouse to live application. Migration, governance, and native Databricks apps.
AI systems
Context stores, memory, retrieval and governed agents that survive production.
Forward-deployed teams
Product, design and engineering people who sit inside your business, find the real problem, and ship it.
Platform & SaaS 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 with a migration playbook that executes, from Snowflake and Synapse to Teradata and SAP. Fabric Airlift is the factory underneath. The first two weeks are sold on their own as the Migration Readiness Sprint.
The two-week sprintEight 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. Fabric is Apache-2.0 licensed and we are opening the source, so the platform underneath your agents is something you can read, host and keep.
- 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.

