GraphyWeave woven network mark

Intelligence across enterprise systems

Query everything.
Move nothing.

GraphyWeave creates a shared layer of business meaning across fragmented enterprise systems, then brings each question to the data—inside the client's own environment.

The platform

One shared language across every system.

GraphyWeave maps technical structures to the concepts people actually use, preserving relationships, definitions and governance in one connected model.

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Discover

Read structures and relationships across existing systems.

Understand

Connect fields to consistent business concepts and rules.

Ask

Turn natural-language intent into governed, reusable views.

Control

Validate access, meaning and execution before results appear.

The product in action

Ask the business, not the database.

Explore the working product surface: choose a question, see it resolved against approved meaning and inspect the temporary result returned from the source.

Conversational AI · governed execution

Ask your enterprise data. Nothing leaves your systems.

Each question is resolved against approved business concepts, validated, executed at the connected source and returned as a temporary result.

Show me revenue by region for Q2.

bar widget · streamed result

Revenue by region — Q2 2026

202 ms · 172 rows scanned at source

APAC leads with $719,699 in Q2. Definition retained as a view; rows discarded after render.

Inspect intent, generated SQL and agent trace

typed intent

{
  "measure": "sum(orders.amount)",
  "dimension": "region",
  "concepts": [
    "Revenue",
    "Region",
    "Customer"
  ],
  "filters": [
    "status = 'fulfilled'",
    "order_date in Q2 2026"
  ],
  "grain": "region",
  "limit": 500
}

validation

  • ✓Read-only statement — no DDL/DML detected
  • ✓All referenced columns exist in the schema graph
  • ✓Join path uses an approved relationship
  • ✓Estimated cost within source policy budget

generated sql (executed in source)

SELECT c.region,
       SUM(o.amount) AS revenue
FROM customers c
JOIN orders o ON c.id = o.customer_id   -- approved relationship
WHERE o.status = 'fulfilled'
  AND o.order_date >= '2026-04-01'
  AND o.order_date <  '2026-07-01'
GROUP BY c.region
ORDER BY revenue DESC;

agent trace

  1. Intent ParserTokenised request: "Show me revenue by region for Q2."
  2. Ontology AgentResolved “revenue” → approved measure Revenue; “by region” → dimension Region
  3. Schema AgentSelected customers.region, orders.amount, orders.order_date
  4. Mapping AgentJoin path orders.customer_id → customers.id (approved FOREIGN KEY)
  5. Validation AgentValidated projection, join and Q2 date predicate
  6. Visualization AgentCategorical dimension × monetary measure → bar chart

From question to decision

Ask once. Resolve across the business.

The same governed context supports a one-off answer, a visual result or a reusable dashboard—without creating another data copy.

  1. 01

    Interpret the request

    Resolve the language against approved business concepts.

  2. 02

    Build the query

    Select relevant sources, relationships and definitions.

  3. 03

    Validate and execute

    Check governance, then run inside client infrastructure.

  4. 04

    Return the result

    Stream a table, metric or visual; retain only its definition.

Zero-copy architecture

Metadata here. Data there.

GraphyWeave stores the understanding needed to work with data. Queries execute where the data already lives, and returned rows remain temporary.

01

Client experience

  • Natural-language questions
  • Tables, metrics and visuals
  • Reusable dashboard layouts

02

GraphyWeave

  • Schema and relationship graph
  • Business concepts and definitions
  • Query and view definitions

03

Client infrastructure

  • Existing source systems
  • Private query execution
  • Temporary result streaming
Intent resolved→Query generated→Executed at source→Result discarded

Clear data boundary

Meaning moves. Sensitive data does not.

GraphyWeave retains the context needed to work consistently, while operational records and credentials remain inside the client's environment.

What GraphyWeave retains

  • Structural metadata
  • Approved business meaning
  • View and dashboard definitions
  • Lineage and governance state

What stays with the client

  • Raw source records
  • System credentials
  • Execution policies
  • Persistent query results

Governed by design

Useful enough for people. Controlled enough for enterprise.

Human approval

Important concepts and mappings remain proposals until a domain owner approves them.

Validated queries

Relationships, filters, access and execution are checked before a request runs.

Consistent definitions

The same approved meaning carries from a question into a reusable view.

Traceable activity

Definitions, approvals and execution events create a clear governance trail.

Why now

AI changed the interface.

Fragmented systems

Enterprise data is spread across dozens of tools and databases. A single, consistent view is hard to build without another copy.

Sensitive data

Moving records into a new warehouse adds risk, compliance overhead and duplicated governance. The safest copy is the one you never make.

AI-native questions

People now expect to ask in plain language and get accurate answers instantly. That only works when meaning and access are already governed.

GraphyWeave

Query everything.
Move nothing.

For investors and strategic partners

Let’s build the intelligence layer enterprises are missing.

Contact the founders