One operating layer for knowledge, data, and metrics.

Connect documents, databases, and business signals behind one governed interface. Your team and your software get the same trusted context.

MCP, SDK, and REST Account-scoped Human-approved queries
Business context ready
Documents
12,480 fragments
Approved queries
36 endpoints
Metrics
8 domains
Memory scopes
Account, user, session
from infotropy import Brain

brain = Brain(api_key="...")

context = brain.bootstrap(user_id="carolina")
revenue = brain.query("monthly_revenue")
trend = brain.metrics("trend", domain="sales")

The context layer your product can rely on.

Infotropy keeps business knowledge structured, searchable, and available through stable interfaces.

Knowledge

Documents, notes, web pages, and transcripts become searchable fragments with provenance.

  • Semantic and full-text search
  • Source-aware citations
  • Persistent workspaces

Data access

Connect databases through reviewed, parameterized queries that are safe to expose.

  • Schema introspection
  • Approved query catalog
  • Typed parameters

Metrics

Track trends, comparisons, forecasts, and anomalies across operational domains.

  • Aggregate and trend
  • Period comparisons
  • Cross-domain signals

Connect once. Use everywhere.

Teams can work in the web app, while products and automation use the same data through MCP, SDKs, or REST.

1

Connect sources

Add documents, databases, and SaaS streams with account-level controls.

2

Review the interface

Approve query catalogs, available metrics, and workspace-level access.

3

Build on stable context

Search, query, and retrieve context from one consistent platform layer.

Python JavaScript MCP
from infotropy import Brain

brain = Brain(api_key="...")
results = brain.search("refund policy")
orders = brain.query("customer_orders", params={"id": 42})
import { Brain } from '@infotropy/sdk'

const brain = new Brain({ apiKey: '...' })
const results = await brain.search('refund policy')
const orders = await brain.query('customer_orders', { id: 42 })
# Claude Code, Cursor, or any MCP client

list_catalog
search_knowledge(query: "refund policy")
run_query(query_name: "customer_orders", params: '{"id": 42}')

Built for operational data.

Infotropy is multi-tenant by design, with scoped memory, OAuth-ready access, and deployment options for sensitive data.

Governed access

Users, accounts, sessions, and approved query boundaries.

Deployment choice

Use hosted infrastructure or run it close to your data.

Protocol friendly

MCP, SDKs, and REST share the same catalog and permissions.

Persistent context

Work does not disappear when a session ends.

Start small. Scale when ready.

Simple plans for pilots, teams, and larger deployments.

Free
$0 /mo
  • 100 documents
  • 1,000 queries/mo
  • 1 workspace
  • Community support
Start Free
Team Pro
$49 /mo
  • 10,000 documents
  • 50,000 queries/mo
  • 5 workspaces
  • Priority support
Get Started
Scale
$199 /mo
  • Unlimited documents
  • Unlimited queries
  • Unlimited workspaces
  • SSO, RBAC, SLA
Contact Sales

Bring your data into one governed layer.

Start with a workspace, then connect the systems your team already uses.