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The operating system
for the AI enterprise

Build your digital twin. Connect your systems, define an ontology, and automate your operations with AI agents.


Ontology infrastructure for autonomous companies. Sync siloed systems into one shared database. Define integrations, relations, models and operations as code. Then run simulations, analytics, apps and agents on your ontology.

Systems of record, communication, data lakes, files, and events feed a shared business ontology. Customers place orders, suppliers supply them, orders dispatch from warehouses and are fulfilled by shipments. Orders settle invoices and shipments are billed on invoices. The same objects connect to simulation, analytics, actions, agents, and applications.
Systems of record
Systems of communication
Data lakes
Files
Events & streams
Ontology
placessuppliesfulfilled bydispatchessettlesbilled on
Customer
Supplier
Order
Shipment
Warehouse
Invoice
Simulation · Models
Analytics
Actions · writes
Agents
Apps & dashboards

Connect

Systems of record, communication, data lakes, files, events and streams.

Model

Define your ontology: objects, links, actions and permissions. Your digital twin becomes the single source of truth for every operation.

Act

AI agents, apps, actions that write back, simulations, and analytics.

Your business as code

Objects, rules and operations, defined as TypeScript code.

Make your agent a Bijection expert

Works with any model, any agent, any editor

Install the Bijection CLI

Define anything as code

Map your operations.
Automate them.

  1. Build your digital twin in plain language.

    Describe your operations. Bijection connects your systems and builds the ontology of your company with you in real time.

    Explore integrations
  2. Refine your ontology and deploy.

    The ontology holds a complete definition of your operations: data, actions, logic, security. Update it as your business evolves.

    Explore the ontology
  3. Run your AI on the ontology.

    Give agents the objects, rules, and actions your business already defined. They act with the same context and the same limits as your team.

    Explore agents

Compatible withEvery system

Salesforce
OpenAI
Slack
PostgreSQL
GitHub
BigQuery
HubSpot
Databricks
Google Drive
Anthropic
Twilio
MongoDB
Shopify
Jira
Gmail
DuckDB
Microsoft Azure
Notion
Snowflake
Stripe
Gemini
MySQL
Microsoft Teams
ClickHouse
Linear
WhatsApp
GitLab
Oracle
Asana
Microsoft 365
Sentry
Google Sheets
Mistral
Airtable
Intercom
Trello
DeepSeek
Datadog
Box
SAP
Google Calendar
Qwen
ClickUp
Dropbox
MiniMax
Amazon Redshift
Zendesk
Discord
Confluence
Okta
Llama
Resend
Telegram
Supabase
Kimi
ServiceNow
Docusign
monday.com
PagerDuty
Google Docs
Bitbucket
Zoom
Amazon Athena
Amazon Aurora
SQL Server
MotherDuck
Turso
Power BI
Trino
Calendly
Typeform
Google Cloud Storage

Enterprise security
with fine-grained controls

  • SOC 2 Type 2
  • HIPAA compliant
  • GDPR compliance
  • Zero data retention available
  • Authority checked on every read and action
  • Agents act through declared tools only
  • Review required before an action applies
  • Dedicated single-tenant deployment
  • Single sign-on (SSO/SAML)
  • Isolated database, storage and identity
  • Connects to your existing systems

Common questions

Bijection is an enterprise data operating system. Connect your systems, define an ontology of your business, and build the logic, applications, and AI agents that run your operations.

Objects, relationships, Functions, Actions, and Workflows share the same model, so the people and software doing the work can use the same definitions.

A model of the things your business works with and how they relate: suppliers, orders, agreements, assets, customers, and the evidence behind them. Your connected systems supply the records; the ontology gives them business meaning.

The model also describes what can happen. Functions calculate results, Actions define allowed changes, and Workflows coordinate the process around those objects.

Yes. Bijection brings source records and captured evidence from databases, APIs, files, and documents into the model. You define the source connections and map their data to your business objects.

Connecting a source and changing a source are separate operations. Writes to external systems go through declared operations with their own delivery status.

Functions read and calculate. Actions define a business change, its rules, and its effects. Workflows coordinate steps over time: they can branch, wait for an event, handle a deadline, and continue when the next condition is met.

For example, a Function can calculate a quote, an Action can accept the current terms, and a Workflow can request a signature and follow up if it has not arrived.

Agents can work with business context, call the tools you expose, extract structured information, and propose or carry out allowed operations. Their access and available Actions are defined by the product.

An agent does not bypass the rules of a change. Actions still check authority, current evidence, and any required human review before applying their effects.

Yes. An Action can require review of its proposed effects. Before execution, the platform checks the current authority and evidence again; a proposal based on changed facts can need a new plan.

The review rule belongs to the Action, so applications, agents, and automated processes use the same operation.

Yes. Build interfaces around the objects and operations your team needs. Applications can query the model, call Functions, plan and execute Actions, and show the state of a Workflow through the product’s typed interfaces.

The reference applications on this website show supplier onboarding, document intake, and quote acceptance, with their definitions and source available to inspect.

Start with one real process. Identify its objects, connected systems, users, rules, and exceptions. Then define the ontology and the operations around it, and build the interface or agent that makes it useful.

Explore a reference application or tell us about your use case using the contact form. We’ll help you work through the first implementation and its deployment requirements.

Contact our team

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