Mind Lab

Overview

Mind Lab is a complete service platform that turns your industry expertise, workflows, and historical cases into a trainable, custom AI model. By streamlining the post-training process, Mind Lab cuts compute costs by up to 90%, enabling organizations to build specialized vertical models starting at just $1,000.

Key Features

• Dedicated Benchmarks: Map your enterprise workflows, set scoring logic, and build controlled task execution environments.
• Cost-Efficient Training: Utilize LoRA, shared bases, and distributed optimization to reduce GPU costs by over 90%.
• Frontier Model Support: Train across major base models including GLM, DeepSeek, Kimi, Qwen, and MiniMax.
• Flexible Working Modes: Choose from expert-led FDE training, automated platform training, or hands-on research control.

Use Cases

• Pharma & Healthcare: Automate literature retrieval, clinical evidence reviews, AI drug discovery, and medical chart quality control.
• Enterprise Operations: Transform specialized expert judgment into a scalable skill that custom models can execute reliably.

FAQ

What is Mind Lab?

Mind Lab is a service and platform that trains custom vertical AI models based on your specific industry expertise, workflows, and benchmarks.

How much does training cost?

Specialist training starts at $1,000, with overall training costs reduced to roughly 10% of typical approaches through optimized compute techniques.

Which base models are supported?

Mind Lab supports frontier bases including GLM, DeepSeek, Kimi, Qwen, and MiniMax series models.

How do teams work with Mind Lab?

Teams can choose from three modes: FDE experts training alongside you, automated platform training, or complete self-managed training on your own infrastructure.

What industries are currently supported?

Mind Lab tailors training to concrete industry tasks, with extensive implementations in pharmaceutical research, medical data governance, and specialized enterprise workflows.