Agentic Pod
Cross-Functional Context Intelligence

Your business doesn’t live in one system.

Agentic Pod is a context layer that connects, reconciles and governs your business data across systems — then makes it available to any AI agent.

Watch — 95 seconds
See how it works
Sources · fragmented
01ERP & FinanceLedgers · Invoices · Costs
02Operations & Project SystemsProjects · Tickets · Work
03Engineering & DesignCAD · PLM · Drawings
04SpreadsheetsExcel · Google Sheets
05Knowledge & CommunicationsMicrosoft 365 · Gmail · Documents
06Databases & Internal ApplicationsDatabases · APIs · Apps
Agentic PodContext
EngineRelationship · Evidence
Business context · connectedCustomerContractProjectVendorInvoiceAssetBudgetDocument

Designed to connect across systems such as these.

Every system knows
part of the story.

  1. 01ERP knows what was spent. Not what changed on site.
  2. 02Operations knows what's late. Not what it costs.
  3. 03Engineering knows what was revised. Not who approved it.
  4. 04Spreadsheets hold the forecast. Nothing else can see it.
  5. 05Email holds the decision. No system records it.

Agentic Pod connects
the whole story.

Capabilities

The complete context layer.

Cross-system pipelines

Connect systems and reconcile what they disagree on.

Agentic Pod maps each system’s structure into a shared business model, resolves records that refer to the same entity, and reconciles conflicting values. You get a working context layer in weeks rather than a multi-quarter data programme.

Finance, operations, engineering and commercial data resolve into the same business model, so one pipeline serves every function.

See it in the walkthrough

  1. 01

    Connect

    Pull data from APIs, databases, files, documents and email.

  2. 02

    Map

    Translate each system's fields into a shared business model.

  3. 03

    Resolve

    Match records that refer to the same entity across systems.

  4. 04

    Reconcile

    Flag conflicting values instead of silently choosing one.

  5. 05

    Expose

    Serve reconciled context with permissions and provenance attached.

Cross-functional context intelligence for real estate

One question. Six systems. No fast answer.

A short walkthrough of cross-functional context intelligence applied to real estate — the first vertical context model we built. Property, accounting, construction, design, spreadsheets and email resolved into one business context. The systems differ by industry. The problem does not.

Cross-functional context intelligence for real estate · Illustrative scenario

The questionA cross-functional question nobody can answer quickly.

The Context EngineHow separate systems resolve into one business context.

The answerWhat changed, why, and the evidence behind it.

The same pipelines underneath every vertical context model.

Vertical context models

Cross-functional by design. Vertical by model.

Agentic Pod starts from a vertical context model — the entities, relationships and rules that match how your industry operates — and adapts it to your systems. You start from a working model rather than a blank schema.

Manufacturing

Parts, BOMs, suppliers, quality events

Construction & Development

Projects, commitments, changes, costs

Multi-site operators

Sites, entities, consolidated reporting

Vertical models shape the context. Your systems and your rules complete it.

Especially where growth, acquisitions and separate operating teams have left every site or business unit on different systems, spreadsheets and document repositories.

Operations · Finance · Project & delivery · Data & IT · Executive

Start with one hard question

Prove it with your data.

  1. 3–5 data sourcesERP / finance + operational or project system + spreadsheet + documents / email
  2. 1 Context Engine
  3. 1 cross-functional question or workflowOne question that spans your systems.
  4. 1 POCTest it using your real business data.
See it live · Connect your systems · Prove it with your data
FAQ

Questions, answered.

What is Agentic Pod?

Agentic Pod is a context layer that connects, reconciles and governs your business data across systems — then makes it available to any AI agent. It sits underneath the AI tools your teams already use.

How is this different from an integration platform or an MDM tool?

Integration platforms move data between systems. Agentic Pod maps each system's structure into a shared business model, resolves records that refer to the same entity, and flags conflicting values with their sources and timestamps intact. You get meaning, not just movement.

How long does a first context layer take?

You get a working context layer in weeks rather than a multi-quarter data programme. A POC starts with 3–5 data sources and one cross-functional question or workflow.

Which systems can it connect to?

Agentic Pod connects across ERP and finance, CRM and commercial, operations and project, engineering and design, spreadsheets, knowledge and communications, and data systems. It pulls data through APIs, databases, files, spreadsheets, documents and email.

Where does it run, and who controls the data?

You run the context engine and supported open-weight models on infrastructure your organization controls. Source attribution and access boundaries are preserved, so your business context stays under your control.

How does it work with Claude, ChatGPT or Copilot?

You connect through the Model Context Protocol or APIs to give MCP-compatible AI clients and custom agents access to reconciled business context. Every result respects the caller's permissions and carries its source and timestamp.

What does a POC involve?

A POC covers 3–5 data sources, one Context Engine and one cross-functional question or workflow — one question that spans your systems. You test it using your real business data.

Who is behind Agentic Pod?

[PLACEHOLDER — team to add founders, background and company details. Do not publish until filled in.]