Fine-Tuning Infrastructure for the Intelligent Enterprise
At Conway Labs, every prototype begins with a hypothesis about human flourishing. This Level 3 Advanced Prototype represents the convergence of practical AI research and infrastructure automation — a system designed to accelerate safe, efficient model adaptation across cloud environments.
Built for early enterprise adoption, the platform automatically deploys fine-tuning and optimization workloads to AWS or GCP, based on customer preference.
Lightweight model personalization for efficient, parameter-efficient adaptation
Optimization pipelines for efficient inference and reduced model footprint
Rapid adaptation for Hugging Face–hosted models without full retraining
Seamless deployment across AWS and GCP with secure credential handling
By unifying these capabilities, the prototype dramatically reduces the engineering overhead of custom model training while preserving enterprise-grade governance.
A comprehensive suite of tools for enterprise AI development
Monitor active jobs, track GPU hours, and manage costs in real-time across all training workloads
Browse and import base models from Hugging Face with seamless integration and validation
Explore layer architectures and activation patterns through multiple visualization paradigms
Deep dive into model architecture with parameter counts and layer type visualization
Get AI-powered hardware recommendations based on real AWS & GCP pricing data
Seamless connections to AWS, GCP, GitHub, and Hugging Face with secure credential management
Enterprise-grade secret management for cloud provider authentication
Audit trails and deployment logs for regulatory requirements
Multi-user workspaces with role-based access controls
Experience how Conway Labs is redefining applied AI for scalable human progress.
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