01 / Context · Live

Sava

Orientation and navigation

Sava is the interpretive layer. Using Sava or a supported AI assistant, you can ask the question every project lead asks eventually: how do I know this person, really?

Before a meeting with a utility's interconnection team, you can ask Sava, or a supported AI assistant, who's in the room, who they trust, what was said 3 months ago, and why the quiet engineer still matters.

Answers come from what your Orbit holds and point back to where they came from, so you can check them before you act.

Surface
Plain-language questions. Answers point to their sources in Orbit.
Strengths
Pre-meeting orientation, routes to the right person, why-this-person-matters answers.
Pairs with
MCP. Claude, ChatGPT, Notion, and Grok read and write the same Orbit Sava does.

02 / Network · Live

Orbit

Relational field

Orbit is a persistent, navigable map of the people, organizations, projects, sites, and events in your world. Each relationship holds context.

A person in Orbit carries a Context Signature: who introduced them, how strong the relationship is, when it was last touched, why it matters, what it's tied to.

The relationship between a developer and an AHJ has a different shape from the one between an owner's rep and a lender. Orbit keeps that shape.

Node types
People, organizations, projects, sites, jurisdictions, utilities, permits, events.
Relationship context
History, strength, obligation, timing, source.
Persistence
The map stays with the project as people change roles.

03 / Time · Emerging

Helix

Temporal field

Last year below, the next 90 days approaching from up ahead, next year above, rendering long timelines legible.

Helix is designed so a person becomes a thread through the moments your team actually touched them, with scheduled meetings, promised deliverables, RFP windows, and comment deadlines approaching from ahead.

Today, Orbit holds dated events and approaching commitments on each relationship. Helix, the full temporal view, is emerging.

04 / Intake · Live

Kosmos

Context engine

Kosmos turns plain language into people, organizations, relationships, and dated events. It's how a hallway conversation becomes something the team can find later.

Debrief after a site walk, paste in meeting notes, or speak a recap on the drive back.

Kosmos parses it and writes it into Orbit. No forms.

Input
Voice notes, pasted text, meeting transcripts, email threads, photographs of a business card or a whiteboard.
Output
People, organizations, relationships with context, dated events, and where each came from.
Edits
Anything Kosmos writes can be corrected in Orbit afterward.
How they fit

One Orbit, four instruments

Kosmos brings context in, and Orbit holds it. Sava, or a supported AI assistant, reads it and orients you.

Helix, emerging, is built to read it through time.

Through MCP, Claude, ChatGPT, Notion, and Grok read and write the same Orbit. Everything moves around one shared record of your relationships.

What's next

On the roadmap

Each item carries its status.

Helix full view
EmergingTime as a dimension you can move through.
Portal
PlannedCoordination across organizations, each keeping its own boundary.
People-data discovery
PlannedFind and add someone outside your network as a target, kept separate from existing relationships.
CRM read, email, calendar, and Notion content connectors
In early accessWith Founding Partners.

Work from the same Orbit in the assistant you already use

MCP is live in both directions for Claude, ChatGPT, Notion, and Grok.

Request a working sessionBegins with a 30-minute fit call.Read about MCP