The whole stack, working
Fabric GTM Brain
A revenue engine for GTM teams, and the reference implementation of everything above.
The whole stack, proven on a real workload. GTM Brain runs TechFabric's own pipeline, which makes it both a working system for revenue teams and the honest answer when you ask whether any of this holds up under production load.
3 common questions, answered below ↓- Role in the family
- The whole stack, working
- Databricks surfaces
- Databricks SQLLakebaseUnity CatalogModel ServingTemporal
- Status
- Running in production as TechFabric's own revenue engine, with per-tenant isolation and durable Temporal passes. Available to GTM teams who want the same loop.
- Documentation
- gtm.fabric.pro
The problem
Outbound systems either spray untargeted messages or require a human to research every account. Neither scales, and the moment you let an agent send on your behalf you have handed an unbounded action to a language model.
How it works
A Fabric vertical with Databricks as the data and AI backend. It senses market movement, remembers every account, judges who is worth a message and why now, drafts from the real trigger, and learns from the response. Routine agent actions run on their own. Privileged ones (publishing, launching, sending) run only under tenant-issued, capability-scoped, expiring grants, and every send is revalidated at delivery. That is enforced in the pipeline, not in a prompt.
What it does
Governed autonomy
Routine actions are autonomous. Privileged ones need a scoped, expiring grant that is checked again at delivery.
Durable brain passes
Sense, judge, and draft run as durable workflows with a human signal gate.
Memory that survives
Account memory is persisted, so the system does not relearn the same context every run.
Per-tenant isolation
Every organisation's data is scoped at the store, not filtered in the application.
The whole stack, proven on a real workload. GTM Brain runs TechFabric's own pipeline, which makes it both a working system for revenue teams and the honest answer when you ask whether any of this holds up under production load.
FAQ
Fabric GTM Brain, answered
Is this a product we can buy, or your internal tool?
Both. It runs TechFabric's own pipeline, which is what makes it honest evidence, and it is available to GTM teams who want the same loop.
What stops an agent from emailing the wrong person?
Routine actions run on their own, but privileged ones like publishing, launching and sending need a tenant-issued, capability-scoped, expiring grant, and every send is revalidated at delivery. That is enforced in the pipeline, not asked for in a prompt.
How is our data kept separate from another tenant's?
Every organisation's data is scoped at the store rather than filtered in application code, so isolation does not depend on a query being written correctly.