For analysts & long-term thinkers
Assemblr is the AI Operating System for companies.
Every team runs on a stack of tools (GitHub, Slack, Linear, plus 35 others). They produce a behavioral exhaust no one watches. Assemblr watches it, derives the team's actual operating rhythm, and runs the agents worth running — grounded in the team's actual code, conversations, and tickets.
The category we are creating
"AI Operating System for companies" describes what we do. Behavioral Process Intelligence (BPI) describes the substrate underneath it. The two stack: BPI is the observation layer; AI OS is the product framing on top.
- Behavioral substrate — every team's actual operating rhythm captured as observable signals.
- Codebase substrate — every team's code, semantically indexed, with intent-grounded chunks.
- Relationship substrate — every team's identity map, role anchors, communication patterns, escalation paths.
- Action substrate — every team's actual workflows compiled from observation, ready to dispatch against any agent runtime.
- Cross-org substrate — anonymized patterns from peer teams that inform any company's agent behavior.
Why this is defensible
Behavioral-analytics tools (LinearB, Jellyfish, Swarmia, Athenian) don't cite the team's code. Agent platforms (Zapier, Lindy, Gumloop) don't read the team's codebase. Coding-agent platforms (Cursor, Devin) don't have the cross-tool observation layer. Assemblr does both: we're the first code-aware behavioral intelligence, and the substrate we're building is the moat.
Starting with engineering teams
Today, Assemblr ships against engineering — GitHub, Slack, Linear are connected; routines like silent merge, ladder break, and routine decay are named and detected; agents are synthesized from the team's own behavior with citations to the exact file and line. Next: security/SRE (Q3), followed by RevOps, Product, Support, Design. The vertical- pack architecture supports every operational function on the same substrate.
The path from here
- Today (2026): engineering vertical live; 13 detector kinds firing in production.
- Q4 2026: 4 additional packs synthesized from observation; agent runtime grounded in real code/conversations.
- Q1-Q2 2027: cross-org pattern transfer (the Commons) compounds the moat.
- 2028+: this becomes the runtime AGI deploys against — every company needs a substrate the AGI runtime can consume. We are building it now.
Note: This is the analyst / long-form surface. The cold-outreach front door is the landing page; the category-creation argument is in the manifesto.