The adoption gap, translated for SMBs
76% of large companies have a Chief AI Officer. 25% of their employees actually use AI. The gap is the business.
We ship products in the open. We take engagements when the work warrants it. From the team behind Hexaxia Technologies. Operators first, AI second.
Two halves of the same practice: products we ship for everyone, and engagements we run with a small number of teams.
A virtual C-Suite for operators. Hextant is the full version, in build for org-scale. Lighter plugin editions: Hextant for Claude Code today, Hextant for Codex next.
Episodic memory for AI agents. Entities, relationships, and episodes you can query and ground LLM responses against. The substrate behind Hextant.
The Syncro PSA, scriptable. A typed SDK, a CLI, and an MCP server so AI agents and operators can drive Syncro from outside the UI.
The engine behind Hextant. Multi-agent orchestration across Claude Code, Anthropic, OpenAI, and Ollama. Dispatch, interactive sessions, chained workflows.
Documentation cleanup with a useful second life. Run it forward and the knowledge base gets sane. Run it in reverse and the same clean output is primed for LLM ingestion, retrieval, or training.
Embedded AI leadership for ambitious teams that need direction more than headcount. Strategy, architecture, and the hard calls.
We work alongside your engineers to ship. Real code, not a consultancy report. Time-boxed, outcome-defined.
Specific judgment on specific problems. Architecture reviews, vendor assessments, second opinions when the stakes are real.
76% of large companies have a Chief AI Officer. 25% of their employees actually use AI. The gap is the business.
A walkthrough of the actual stack. Not a demo reel, a working day. What we automate, what we deliberately do not, and why.
Most AI vendors will not tell you what their agents can and cannot do. We wrote it down. Authorization, safety boundaries, audit, escalation. Here is what is in it and why we built it instead of buying one off the shelf.
Tell us what you are trying to do. If we are the right fit we will say so. If we are not, we will tell you who is.