Under The Surface
Connect The Record
To The Reason
The architecture follows the work: where information comes from, what it means in context and what needs to happen next.
Knowledge In Context
Hyphos uses a knowledge graph to connect the records behind an engagement. A decision can be linked to its source meeting, the document it changes and the person responsible for the next step.
Those relationships help make a retrieved fact useful in the situation where someone needs it.
Sources Close To The Answer
Search and summaries help locate relevant information. The underlying source is the record to check.
The aim is to let a person follow the answer back to the evidence and understand what is supported, what has changed and what is still uncertain.
Access Through The Working Tools
Hyphos exposes capabilities through MCP, so compatible AI clients can work with its knowledge and tools. The integrations and access needed for a particular workflow are part of the pilot scope.
The goal is to keep the relevant context close to where the work is happening.
A System That
Builds Itself
Domas is how Hyphos gets built. AI writes the plan for each change, a named person approves it, and AI then builds it in a separate copy, runs the tests and has a second AI review the work. Every decision and result is recorded, so the next change starts with what has already been learned.
Next, the same system will shape Hyphos around each business: its terms, approval steps and tools, with that business approving the changes. That part is still being built.
Keep Adapting As The Business Changes
A correction often contains experience that a template misses. Hyphos is being developed to connect those lessons to future work, making the reasoning behind a good result easier to reuse and teach.
Define The Boundaries Together
A pilot should establish the sources it can use, the people who can access them and the actions that need human review. The specific deployment and integration requirements belong in that discussion.
Discuss Your Workflow ↗