Introducing SixDegree - The Context Layer for Enterprise AI
Introducing SixDegree - the context layer for enterprise AI. Business is about relationships. Now AI can reason over them.
Introducing SixDegree: The Context Layer for Enterprise AI
Business is about relationships. Between people, systems, and processes. Those relationships have never been systematically captured. Today, we're changing that.
SixDegree is the context layer for enterprise AI. We discover the relationships across your tools, map them into a queryable ontology, and give AI agents the structured context to act authoritatively.
The name draws inspiration from "six degrees of separation" — the idea that any two people are connected through a small number of links. The same principle applies to your enterprise: every service, team, vendor, and process is interconnected. Those connections are just hidden, fragmented across dozens of tools, and impossible to navigate.
The Problem
AI is transforming individual productivity. The data backs it up — 90% of developers use AI, 80% report measurable improvement (Google DORA, 2025). But enterprise-wide, it's failing to deliver. 95% of AI pilots deliver zero measurable business impact (MIT, 2025).
There's one critical reason AI works for code: code has explicit, structured relationships. Variables are scoped to functions. Functions compose into applications. Applications deploy to systems. LLMs have been trained on billions of lines of code that describe these relationships. They have ground truth to reason over.
Ask AI to operate across your business systems — GitHub, Salesforce, AWS, Workday, ServiceNow — and it's got nothing. No structure. No ground truth. Just semantics and statistical probability. So it hallucinates.
RAG and vector stores don't fix this. They give AI memories — facts about what happened. But a fact without a relationship is a dead end. "A critical CVE was disclosed" is a fact. "That CVE affects a library imported by 14 services, 3 of which are internet-facing and process PII, owned by two teams who need to patch now" — that's an actionable insight. The difference is structured relationships.
How SixDegree Works
SixDegree maps the relationships between your people, systems, and processes — and gives AI the structured context to reason over them.
Discover. Lightweight integrations called Molecules connect to your tools and continuously map entities and relationships in real time. No manual input. No stale data. The ontology is authoritative by design — relationships are discovered from actual system state, not inferred from semantics.
Understand. Everything lives in a queryable graph. Any "what connects to what?" question — what breaks if we deprecate this service? who owns this system? which vendors touch our customer data? — goes from a week of Slack threads to seconds.
Act. AI agents connect via MCP (the Model Context Protocol) and take actions grounded in real relationship context. Not statistical guesswork.
Molecules: The Building Block
Each Molecule is a single-purpose integration that packages four capabilities:
- Discovery — Automatically map entities and relationships into a unified, queryable ontology.
- Tools — MCP tools give agents command and control over entities, turning insights into outcomes.
- Skills — Encode your organization's know-how as reusable workflows grounded in your ontology.
- Visualizations — Distill complex relationship data into clear, actionable views.
The platform intelligently discloses only the tools relevant to the entities in context. When an agent is working with GitHub entities, it only sees GitHub tools — it doesn't get confused by GitLab tools sitting alongside. Fewer tools in scope means less ambiguity, fewer hallucinations, and more reliable AI actions.
Building a Molecule takes less than 10 minutes with full-featured SDKs for Go, Python, and Typescript. Any developer can publish a Molecule to the registry, turning SixDegree into an ecosystem, not just a product.
Get Started
We're live and looking for design partners — engineering teams that feel this pain every day. If your team has ever spent a week in Slack threads answering a question that should have taken seconds, we'd love to talk.
Follow our journey and stay updated on new Molecules and features.