LoRA-Powered Inference

From fine-tuned model to agent in minutes

Upload your LoRA adapter and build specialized agents that reason with domain expertise. No infrastructure management. Straight to building.

When General Models Aren't Enough

Let's Break That Down

General-purpose AI models are great at generic tasks. But what about your industry's jargon? Your company's standards? Your exact data formats?

That's where specialized models come in. Upload your fine-tuned LoRA adapters and start running inference. No servers, no containers, no infrastructure to manage.

Code Generation

Train on your internal APIs and coding standards. Generate code that follows your team's patterns, not generic examples.

Medical Reasoning

Fine-tune on clinical guidelines and diagnostic criteria. Understand medical context that general models completely miss.

Legal Analysis

Train on jurisdiction-specific case law and statutes. Navigate legal nuances with precision and context.

Brand Voice

Fine-tune on your content and style guides. Generate responses that sound like your brand, not generic AI.

Industry Expertise

Train on domain-specific terminology and processes. Master your industry's complexity and edge cases.

Data Extraction

Train on your data formats and schemas. Extract structured information matching your exact specifications.

General models are great starting points. But production systems need domain expertise, precision, and reliability. That's what fine-tuned adapters deliver.

Connect. Compose. Automate.

AI Agents with ReAct Loop

Connect your APIs as tools. Compose them into autonomous agents with reasoning, action, and iteration.

Define Tools

Connect any REST API as a reusable tool. Configure endpoints, authentication, and input schemas. Store secrets securely. Define what your agents can do.

GET • POST • PUT • DELETE

Build Agents

Compose tools into autonomous agents. Add your fine-tuned adapters and output schemas. Set system prompts that define reasoning behavior and task execution.

Adapter + Schema + Tools

Run with ReAct Loop

Your agents run with ReAct loop: reason about the task, choose tools, execute actions, and iterate until completion. Test in playground or deploy as API.

Reason → Act → Observe → Iterate

Connect Any API

Configure external APIs as tools your agents can use

# Configure External API as Tool
name: "search_database"
url: "https://api.example.com/search"
method: "POST"
headers:
Authorization: "Bearer 'secret'}"
# Run Your Agent
POST /api/agents/agent_id/execute
Authorization: Bearer mlsk_...
{
"input": "Find recent AI papers",
"max_iterations": 5
}
Supports: REST APIs Bearer Auth API Keys Custom Headers Secret Storage

Fine-tune. Compose. Share.

Build AI systems that understand your industry's language, standards, and edge cases. No infrastructure, no DevOps, just upload and ship.

Start Building
Structured JSON outputs
Zero DevOps
Community-powered