About

Product

Learns · Knowledge Compiler Briefs · Context Engine Yours · Trust Layer

Surfaces

Enterprise · Soma People · Self Family / team · Self+ M2M · Axis Protocol · Nexus

IP

Patent · P202631047 MVE · Minimum Viable Exposure .aix format ↗ Research Contact hello@thegeometrical.com

02 · Context Engine

Briefs.

Every AI gets exactly the context it needs. Nothing more.

Hybrid retrieval across three kinds of memory, the reasons behind each decision, the procedure your team follows — trimmed to a budget and sent at Minimum Viable Exposure to any model or agent.

Right answersNearly 2× (72% vs 39%)
Context21× less per question
Serving1.9 s median
GEOMETRICAL.OS
Results.Conclusionvs. best raw retrieval

Nearly 2× the right answers.
On 21× less context.

Real benchmark, not a mock-up · 72% vs 39% correct · 1,684 vs 35,282 tokens per question · vs. the best raw retrieval (top-128) · same model, same questions · single-user graph running since July 2026 · 12 questions × 3 runs · Claude Sonnet 5 answering only from the given context · blind LLM judge · official API token counts · Oct 2026. Graph and model windows are illustrative.

The model is replaceable.
The graph is not.

How it works

Follow one question through the engine.

From the moment an agent asks to the moment it gets an answer it can trust.

GEOMETRICAL.OS

Illustrative trace with fictional data. Token figures from our October 2026 benchmark (35,282 raw vs 1,684 delivered).

What’s inside

Four things it gets right for every agent.

Briefs is what any agent sees of your graph: the least it needs, structured, under your rules.

05 · Procedures

Procedures that write themselves

Learned know-how

When your team repeats the same steps, Geometrical turns them into a versioned procedure. Any agent — and every new hire — follows the latest version.

Live

Learned fromRepeated episodes
FormatVersioned procedure
ServedOver MCP to any agent

06 · Three memories

Three kinds of memory

Hybrid retrieval

Episodic for what happened, semantic for what’s true, procedural for how it’s done — searched by keywords, meaning and graph importance together.

Live

MemoryEpisodic · semantic · procedural
RankingKeywords + meaning + graph rank
Serving1.9 s median

07 · Exposure

Minimum Viable Exposure

The least data a model needs

Each call gets only what the task needs, inside a token budget — and its Exposure Ratio is recorded, never the sensitive values.

Proposed open standard · CC BY 4.0

Context21× less per question
Exposure~10× lower ratio
StandardMVE paper v1.0

08 · Any model

Any model, any agent

Neutral by design

Claude today, another model tomorrow. The graph is served over MCP or API and exported in .aix, an open format — switching models never resets what your AI knows.

Live

ProtocolMCP · 18 tools
API53 endpoints
Format.aix · Apache 2.0

Why own a graph

Context you already paid for. Paid again, every session.

Without a graph, every AI session re-sends what your team already explained — and still gets it wrong more often. Put in your numbers.

GEOMETRICAL.OS
Graph.Economicsorganization

21 working days / month. Change the price to your provider’s.

Without · raw context
With Geometrical · compiled
tokens sent / month—
tokens sent / month—
context spend / month—
context spend / month—
right answers / month—
right answers / month—
saved — / month— more right answers

Per question: 35,282 vs 1,684 tokens · 39% vs 72% correct — measured on a single-user graph (12 questions × 3 runs), same model, Oct 2026. Raw = best raw retrieval (top-128). Input-context spend only.

tokens re-sent · without graph tokens sent · with graph (21× less per question) decisions + why captured

An imperfect graph is worth more than none — and it gets stronger with time. Illustrative curves; the 21× ratio is measured.

System Alert×
⚠
Platform memory detected.
Apple, Microsoft and Google will each give you memory. Read the fine print:
AppleMicrosoftGoogleYour graph
Lives inApple devices & iCloudyour Microsoft 365 tenantyour Google accountyour perimeter
Rememberswhat happens in Apple’s appswhat happens in Microsoft’s appswhat happens in Google’s appsall of it, across tools
Answers withApple Intelligence & partnersCopilotGeminiany model, any agent
Built forone personone tenantone accountpeople, teams, organizations
Leaves with youwithin Apple’s ecosystemwithin your tenantwithin your Google account.aix · open format
Who decides who readsAppleMicrosoft & your adminGoogleyou, per agent (Nexus)

They’ll each remember a slice of you. Only you can own the whole graph.

Based on public materials, Oct 2026.

Results

Measured, not promised.

72% vs 39%

Nearly 2× the right answers

Same model, same questions. Geometrical’s compiled context against the best raw retrieval.

Internal benchmark · single-user graph · Oct 2026

Learn more →

21×

Less context per question

1,684 tokens instead of 35,282 — and more answers right, not fewer.

Internal benchmark · single-user graph · Oct 2026

Learn more →

39×

Fewer tokens per right answer

2,332 instead of 90,700. The saving shows up on every model bill.

Internal benchmark · single-user graph · Oct 2026

Learn more →

1.9 s

To serve context

Median, with no generative model in the loop.

Measured · Oct 2026

Learn more →

Next

Yours. →

It lives inside your perimeter. Every agent asks permission. We never see what’s in it.