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50+ Providers, One Integration

Switch between OpenAI, Anthropic, Google, and others by changing a parameter. Run prompts across multiple models and compare results.

AI execution

One API for all major AI providers

Run prompts against OpenAI, Anthropic, Google, and other providers through a single API. Compare responses across models, run multiple samples for consensus, and generate images or video directly to Storage.

Capabilities

Everything you need for AI execution

Multi-provider support

Access OpenAI, Anthropic, Google, Mistral, Cohere, and open-source models through one API. Switch providers without code changes.

Parallel execution

Run prompts across multiple models simultaneously. Compare responses or synthesize the best answer from all models.

Best-of-N sampling

Run the same prompt multiple times on one model. Select the best response or synthesize from all samples.

Multi-modal generation

Generate images and video with output saved directly to Storage. Analyze images, audio, and video by passing Storage paths.

Response synthesis

Combine responses from multiple models into a single answer. An internal judge model selects or merges the best content.

Usage tracking

Track token counts, latency, and cost per request. Monitor usage by project, team, or user.

50+
AI providers

Unified API access

4x
Multi-sample

Per-model sample limit

< 100ms
Routing overhead

Added latency for multi-model

Why it matters

One API for all major AI providers

Switch providers without rewriting code

Each AI provider has different SDKs, authentication, and response formats. Conjoin AI Inference normalizes everything into a single API.
In practice

Your application uses GPT today. Tomorrow, you want to try Claude. Change the model parameter. The rest of your code stays the same.

Higher confidence through consensus

Single model responses can be wrong or inconsistent. Running multiple models and comparing responses increases confidence in the answer.
In practice

A medical analysis prompt runs against three models. All three identify the same issue. Confidence is higher than a single model's opinion. Disagreement flags the case for human review.

Generate media without file handling

Image and video generation typically requires downloading files, storing them, and managing URLs. Conjoin AI Inference writes generated content directly to Storage.
In practice

Generate a product image. It saves to your Storage container automatically. The response includes the Storage path. Display the image using your existing Storage CDN URLs.

Built for Your Workflow

Ship faster with solutions designed for real-world needs

How Conjoin solves this

Use the Inference API for all providers. Change the model parameter to switch between OpenAI, Anthropic, Google, and others without modifying code. Response formats normalize across providers.

Impact

Access multiple AI providers through a single integration with consistent response handling.

How Conjoin solves this

Run prompts across multiple models in parallel. Compare responses or synthesize a combined answer that highlights points of agreement and flags disagreements for review.

Impact

Improve answer confidence through multi-model consensus for critical decisions.

How Conjoin solves this

Generate images through the Inference API with output saved directly to Storage. The response includes the Storage path and CDN URL for immediate use in your application.

Impact

Add image generation without managing file storage or separate provider integrations.

How Conjoin solves this

Pass Storage paths directly to vision model prompts. Conjoin handles file access based on user permissions and sends images to the model without you downloading or encoding files.

Impact

Build vision features using your existing Storage files with one API call.

Ship your application today

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