Customer questions. Revenue questions. Strategic questions. Engineering questions. One context layer answers them all.
ENGINEERING
“What changed before the payment service went down?”
3 deploys in the 2 hours prior. One touched the Stripe webhook handler. No PR review. Incident is still open.
CUSTOMER
“Why is the Meridian support thread escalating?”
Premium tier, $1.2M ARR. AE flagged renewal risk last week. Engineering shipped a fix to their bug yesterday. CSM @maria has the relationship.
REVENUE
“What deals are at risk if we delay the Q3 release?”
4 deals, $3.2M ARR. Linked to 6 epics. 1 epic blocked on the payments rewrite.
01
Connect your systems of record.
Dozens of integrations across sales, support, operations, product, and engineering. OAuth in minutes. Open SDK: new integrations in days, not quarters.
02
We derive the graph automatically.
A rules-based ontology engine reads structure from your systems and builds the graph continuously. Entities, relationships, ownership, dependencies. No manual curation. No data modeling project.
03
Every agent shares the same context.
Use it today in Claude, ChatGPT, Cursor, or any MCP-compatible tool. No new tool to learn. No integration project to schedule.
One graph. Every domain.
Customers, revenue, operations, engineering. All connected in a single queryable graph. The clearest picture of how your organization actually works.
Context is the running picture of what your company sells, builds, supports, and operates. It's the structure and state your AI agents need to act. Without it they're guessing.
Models aren't the bottleneck anymore. Context is.
Most enterprise AI pilots deliver zero measurable business impact. The LLM is capable. The last mile is context. Without structure, AI guesses.
Definitions decay. Relationships don't.
Vector stores capture facts. They can't trace what connects to what. That's the difference between retrieving a fact and reasoning to insights and action.
Semantics are discovered, not defined.
The only catalog that stays accurate is one that builds itself, continuously, from the systems you already run. Manual data entry can't keep pace with systems that change by the second.
Every AI agent in your company needs to know how your business works. SixDegree is the substrate they read from. Connect once. Every agent reads from the same source.
Design partner program · cohort closes Q2 2026
4 spots left.
We build around your stack and ship weekly.
Your missing integrations built in days, not quarters