Built for Big Berlin Hack

Context your agents can trust before they act.

Context Surgeon turns scattered operational knowledge into a source-grounded context base, then keeps it current as facts change.

153,997

sample records

7

VFS files

Fact Patch

not regenerate

Sonnenallee 44 context run

public sample data ยท ready to inspect

health +38

Claims become source-grounded facts

Tenant email

roof leak still active

Old log

roof issue closed

judge-visible proof

Fact ledger

fact_roof_opentenant quote cited

conflictclosed vs open

spanline-level evidence

Built with Big Berlin Hack partner technologies

Google DeepMind / GeminiTavilyPioneer / Fastino

Product

The missing operating layer between business systems and agents.

Connect the systems teams already use

Email, CRM, files, tickets, collaboration, and manual uploads become reviewable source material before extraction.

Build a transparent context base

The system produces typed facts, source quotes, conflicts, and a virtual file system that humans and agents can inspect.

Update only what changed

New evidence updates the right context without overwriting human judgment or trusted notes.

Sample-data proof

The supplied Inazuma dataset becomes a context base, not a prompt dump.

The demo compiles CRM, HR, enterprise mail, support, policies, IT tickets, GitHub, social data, and order artifacts into a virtual file system plus graph.

153,997

raw records

12

domains

9

entity types

Generated repository

source-linked VFS for humans and agents

/company/inazuma/context.md

Company Operating Context

Dense executive context for AI agents and humans.

/company/inazuma/static/customers.md

Customers and Revenue

Static customer, product, sales, and order memory.

/company/inazuma/static/employees.md

Employees and Roles

Employee directory, HR relationships, resumes, ownership references.

/company/inazuma/procedures/policies.md

Policy Repository

Procedural company rules from policy PDFs.

/company/inazuma/trajectory/projects.md

Projects and Progress

Trajectory memory from mail, collaboration, GitHub, support, and IT tickets.

Live mode

Connect the systems teams already use.

Teams choose the sources that matter, review new evidence, and approve what becomes part of the shared context base.

Email

Gmail, Outlook

CRM

HubSpot, Salesforce

Files

Google Drive, OneDrive, Dropbox

Work streams

Slack, Teams, Zendesk, Jira, Linear

Live API

Upload evidence without opening the UI.

The API mirrors live mode: list connectors, create connect links, sync systems, upload evidence, and activate scoped ingestion rules.

01

Connect

02

Normalize

03

Patch

POST /api/live/upload

multipart file intake for live mode

Firebase scoped
curl -X POST https://contextsurgeon.fnctn.io/api/live/upload \
  -H 'Authorization: Bearer <FIREBASE_ID_TOKEN>' \
  -F 'files=@owner-email.txt'
GET/api/live/connectorsConnector catalog
POST/api/live/connectOAuth link
POST/api/live/syncSync systems
POST/api/live/uploadUpload evidence
POST/api/live/rulesIngestion rule

Input

PDF, Word, text, CSV, JSON, Markdown, image, or exported evidence.

Output

Candidate sources, confidence, fact hints, and next actions.

Agent pre-flight check

actionable

Every fact carries a source quote.

Conflicts appear before an agent acts.

Human notes survive generated updates.

The agent plan changes only after context changes.

Trust model

The product shows its work.

Context Surgeon does not ask people to trust a black-box answer. It exposes source evidence, conflict explanations, patch diffs, preserved notes, and before/after plans.

Ready for the judges

Give agents the context before giving them the keys.