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Conjoin AI

Context-native AI for enterprises. Feed private data to AI models, enforce access controls per user, and redact PII before it reaches third-party providers.

The hard parts, solved

AI that knows your users, respects their permissions, and protects your data

Enterprise AI needs more than API calls to model providers. It needs data access that respects permissions, compliance that blocks sensitive data, and higher confidence through multi-model verification. Conjoin AI handles all of this so you can focus on building features.

Conjoin IDE

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Core capabilities

Enterprise AI requirements, handled

Identity-aware context

Automatically indexes your Storage files and Database records. AI queries respect your existing auth permissions; if a user cannot access a file in Storage, they cannot query it through AI.

Policy firewall

A compliance layer between users and AI models. Redacts credit cards, SSNs, and PII before data is sent to third-party providers. Set hard spending limits to stop runaway API bills.

Multi-model inference

Run prompts across multiple models in parallel, compare responses, and synthesize the best answer. Pass synthesize: true to let Conjoin aggregate results automatically.

Declarative workflows

Chain AI steps together in JSON: classify an email, look up the order, draft a reply. Workflows call other Conjoin services natively, like sending an SMS based on AI output.

Zero-ETL indexing

Toggle indexing on a Storage container and your files become queryable. No pipelines to build, no embeddings to manage, no vector databases to maintain.

Budget controls

Set spending limits per project, team, or user. When limits hit, requests stop immediately. No surprise bills from runaway prompts or unexpected usage spikes.

Multi-modal generation and understanding

Generate images and videos directly to Storage paths. Analyze images, audio, and video by passing Storage paths as input. The same permission model applies; users can only process files they have access to.

Observability

Full request tracing with token counts, latency breakdowns, and cost per request. Track usage by project, team, or user. Debug slow responses and optimize prompts with detailed metrics.

0
ETL pipelines

No data pipelines to build or maintain

100%
Permission sync

AI respects your existing access controls

4x
Multi-sample

Run the same model up to 4 times per request

Why it matters

AI that respects your security model

Private data without the plumbing

Most AI integrations require weeks of ETL work: extract data from sources, transform it into embeddings, load it into a vector database, then keep it synchronized. With Conjoin AI, toggle indexing on a Storage container and your data becomes queryable immediately.
In practice

A legal team wants to search 50,000 contracts using natural language. Instead of building an ingestion pipeline, you enable indexing on the contracts container. Users ask questions in plain English and get answers pulled from documents they have permission to access.

Security that follows your users

Vector databases do not understand permissions. They return whatever matches the query, regardless of who is asking. Conjoin AI inherits your auth rules: a junior employee cannot query documents marked for executives, even through the AI.
In practice

An HR chatbot answers questions about company policies. When an employee asks about salary bands, they only see information for their level. Managers see broader data. Executives see everything. Same chatbot, same query, different results based on who is asking.

Compliance without the overhead

Employees paste sensitive data into AI tools. Credit card numbers, social security numbers, customer records. The policy firewall inspects requests and redacts PII before it reaches any external model. You get AI capabilities without the compliance exposure.
In practice

A support agent pastes a customer complaint containing a credit card number. The firewall redacts the card number before the request hits the AI model. The agent gets a helpful response and the credit card details never reach the model provider.

Built for Your Workflow

Ship faster with solutions designed for real-world needs

How Conjoin solves this

Pass the requesting user's account ID with each AI query. Results only include content that user has permission to access in Storage or Database. Permissions inherit from your existing Conjoin Auth configuration.

Impact

Ship AI features knowing your access controls extend automatically to every query.

How Conjoin solves this

The policy firewall inspects requests and redacts credit card numbers, social security numbers, email addresses, and other PII patterns before data reaches external models. Original data stays in your logs while redacted versions go to providers.

Impact

Use AI on customer data without exposing sensitive information to third-party providers.

How Conjoin solves this

Run the same prompt across multiple models in parallel. Request multiple samples from the same model for Best-of-N selection. Enable synthesis to aggregate all responses into a single answer using an internal judge model.

Impact

Higher confidence through model consensus and better answers through multi-sample comparison.

How Conjoin solves this

Define workflows that chain AI operations with other Conjoin services: classify input, look up customer data in Database, generate a response, and send via Messaging. Workflows trigger from events like email received or file uploaded.

Impact

Build multi-step AI automation without writing and maintaining glue code between services.

How Conjoin solves this

Pass Storage paths directly as input to analyze images, audio, and video. Generate images and videos with output paths that save directly to Storage containers. The same permission model applies to generated content.

Impact

Build media-rich AI features without managing file transfers or temporary storage.

FAQ

Common questions about Conjoin AI

Ship your application today

Start building with Conjoin today. Free tier includes everything you need to prototype and launch. Scale when you're ready.