Accelerating enterprise AI adoption
2nd Brain Labs is an AI lab that builds products around the systems enterprises already run. Our flagship, Synapse, is an enterprise context engine connecting AI agents to them.
Connect enterprise AI agents to enterprise knowledge.
Synapse is the enterprise context engine from 2nd Brain Labs. It reads the systems already running in an enterprise and turns them into a knowledge layer AI agents can use, through one standard MCP interface. Nothing is migrated or rebuilt.
Numbers so far
927K
Lines of code analyzed
Synapse is in early access. Across 4 pilot deployments, as of Jul 2026.
1,474
Endpoints exposed as MCP tools
Same deployments, same date
120
MCP servers built
As of Oct 2026
How Synapse works
Existing systems become tools AI agents can use.
Synapse reads the systems an enterprise already runs and generates MCP servers from them: the standard adapters AI agents use.
Read
Synapse reads a system from its source code or from its API endpoints, where the system already lives.
Select
Teams choose which endpoints become tools. Everything else stays out of reach.
Generate
It generates an MCP server that gives agents the system’s actions as tools, through one standard interface.
Run
The server runs where the team runs it and calls each system directly.
How Synapse secures
Systems stay in place, and control stays with the enterprise.
Hosted, each customer has a tenant of its own, isolated and encrypted. Enterprise deployed, the whole platform runs inside the customer’s environment. Either way, the generated code belongs to the customer.
Build
A local build runs on the developer’s machine, with the model provider the team chooses.
Call
The generated MCP server calls each system directly and pulls only its configuration from Synapse.
Isolate
What Synapse holds belongs to the account that created it, isolated per tenant with its own keys.
Deploy
The licensed tier runs all of Synapse, database included, inside the enterprise’s own cloud or data center.
The rules every 2nd Brain Labs product is built on.
About usKnowledge stays where it lives.
We bring AI to the tools, records and processes an enterprise already runs, not the other way around.Work with what the enterprise already runs.
Nothing to re-platform, and no grand model to build before the first result.Publish every release.
Every release lists what it changed, in the changelog on GitHub.
Start with the knowledge AI needs to reach.
An engagement starts with one system the enterprise runs today. We point Synapse at it and show the output before any wider commitment.