We are not
- a reseller
- Paid to route your POs
- logos-on-a-slide partners
The shape of our partnership posture
Engineering partnerships,
not logo deals.
We are
Engineering partners built on what we ship together for shared customers.
The three below are where we have invested most.
Not on the list?
Substrate's engine is the same regardless of platform. What a partnership earns is depth pre-packaged solutions, joint reference architectures, a delivery posture tuned to that platform's grain.
Partners
Substrate runs platform-agnostic. The partnerships we invest deepest in are AWS, Databricks, ServiceNow and Anthropic each with co-architected reference deployments and commercial alliance depth.
AWS
Reads every engineering work item, decomposes it into scoped stories, and assembles full context from your systems of record before a line of code is written.
Databricks
Authors solution definitions and ships code in your conventions typed, tested, and integrated with your CI/CD, governance, and review workflows.
ServiceNow
Reviews every output against acceptance criteria, your existing code, and runtime telemetry closing the loop, flagging gaps, and feeding back into the next iteration.
Anthropic
Claude as the foundation model behind Substrate's Planner, Executor, and Evaluator Variants safer, more capable AI engineered into every loop.
Working with partners.
Our architects walk you through deployment before any sales call.
Beyond these three
The engine does not care.
Substrate runs against most modern enterprise platforms. If your stack is elsewhere, the engagement shape is well understood we just haven't reached the partnership depth that earns a page of its own yet.
- Snowflake
- BigQuery
- Azure
- GCP
- Kubernetes
- Databricks
- AWS
- Postgres
- dbt
- Airflow
- … and most
modern stacks