Large Models,
Made Short.

The Agentic Infrastructure for Enterprise Knowledge Distillation. Performant, Private, Precise.

Request Early Access

The Agentic Pipeline

Step 01

Data Audit

Automated inspection of existing models to identify performance bottlenecks and knowledge gaps.

Step 02

SOTA LLM Synthesis

Leveraging cutting-edge Teacher Models (Gemini/GPT-4) to generate high-fidelity, targeted synthetic training data.

Step 03

Private Distillation

Training compact Student Models within your secure VPC, optimized for specific enterprise tasks.

Core Capabilities

Audit

Audit

Automatic evaluation of your teacher models. Identify knowledge gaps and generate targeted synthetic datasets to fill them.

Distill

Distill

Compress gigabytes of weights into megabytes. Preserve up to 99% of reasoning capabilities while reducing inference costs by 10x.

Deploy

Deploy

One-click deployment to edge devices or private clouds. Optimized for OnnxRuntime, TensorRT, and CoreML.

Industries

Financial Services

Deploy secure, on-prem small language models for fraud detection and document analysis without data leaving your perimeter.

Manufacturing & Logistics

Offline QA agents and visual inspection for factory floors.

Consumer Edge AI

Run advanced reasoning agentically on mobile and IoT devices with <100ms latency and minimal battery drain.