Expanding AI from prototype to production
Use the Databiomes platform to reduce your existing and future recurring AI costs to $0
How Does It Work?
Databiomes provides an automated language model training platform that helps businesses expand their AI capabilities from prototype to production. Our platform delivers production-ready AI models optimized for CPU inference within 24 hours, eliminating the need for expensive GPU infrastructure and reducing recurring AI costs to zero.
The platform uses advanced optimization techniques to create efficient models that run directly on CPU hardware, making AI deployment more accessible and cost-effective for businesses of all sizes. Our automated training pipeline handles the complexity of model optimization, allowing you to focus on building great AI-powered products.
With Databiomes, you can train custom language models tailored to your specific use cases, deploy them on-device or on-premises, and scale your AI operations without worrying about escalating cloud costs or vendor lock-in.
Flora Inference Engine
Flora is our high-performance inference engine designed specifically for CPU-optimized language models. It enables fast, efficient AI inference without requiring expensive GPU hardware, making it ideal for edge computing, on-device AI, and cost-conscious deployments.
Flora supports multiple deployment scenarios including Unreal Engine integration for gaming and simulation applications, embedded systems, mobile devices, and traditional server environments. The engine is optimized for low latency and high throughput, delivering production-grade performance on standard CPU infrastructure.
Solution Briefs
Databiomes offers comprehensive solutions for various AI deployment scenarios. Our Model Train Protocol (MTP) provides a standardized approach to training and deploying custom language models, ensuring consistency and reliability across your AI infrastructure.
Whether you're building conversational AI, content generation systems, code assistants, or domain-specific language models, our platform provides the tools and infrastructure you need to succeed. We support both open-source model architectures and custom model designs, giving you flexibility in your AI strategy.
Enterprise Platform
Databiomes provides a full-featured enterprise platform designed for large organizations that need advanced AI model management, governance, and scalability. Our enterprise solution includes centralized model management, team collaboration features with role-based access control, and comprehensive monitoring and analytics dashboards.
Enterprise customers benefit from multi-tenant architecture, enterprise-grade security and compliance features, priority support with dedicated success teams, custom SLA agreements, and professional services. The platform scales seamlessly from small teams to large organizations with thousands of models and users.
Our enterprise platform ensures your organization can manage AI deployments at scale while maintaining security, compliance, and cost efficiency. Contact our sales team to learn more about enterprise features and pricing.
Pricing
Our pricing model is designed to eliminate recurring costs and provide predictable, affordable access to advanced AI capabilities. Unlike traditional cloud-based AI services that charge per API call or per token, Databiomes offers upfront pricing for model training with no ongoing inference costs.
Once you've trained your models with Databiomes, you can deploy them anywhere without additional fees. Run unlimited inferences, serve unlimited users, and scale your AI applications without worrying about surprise bills or usage caps. This makes Databiomes ideal for high-volume applications, cost-sensitive deployments, and businesses looking to maintain control over their AI infrastructure costs.
Frequently Asked Questions
What types of AI models can I train with Databiomes?
Databiomes specializes in training language models optimized for CPU inference. We support various model architectures and sizes, from compact models for edge devices to larger models for server deployments.
How long does model training take?
Our automated training pipeline typically delivers production-ready models within 24 hours. The exact time depends on model size, complexity, and your specific requirements.
Can I deploy models on my own infrastructure?
Yes! Databiomes models are designed to run on your own infrastructure, whether that's on-premises servers, cloud instances, edge devices, or even embedded systems. You maintain full control over your deployment.
What is the Flora inference engine?
Flora is our high-performance inference engine optimized for CPU-based model execution. It provides fast, efficient inference without requiring GPUs, making AI deployment more accessible and cost-effective.