# Run BiOS > Run BiOS is an end-to-end enterprise AI platform for inference, fine-tuning, > evaluation, data generation, adaptive routing, and continuous model improvement. > The BiOS Conscious Loop turns approved production signals into curated data, > trains and evaluates new model versions, and promotes stronger versions. > Enterprises can use the managed service or deploy the complete stack inside > their own environment. Run BiOS is a product of UltraSafe AI (https://us.inc/). > UltraSafe AI is based in Nevada, USA, and Dubai, UAE. The product platform is > platform.runbios.ai. Every fact below is taken from the public site it links to. Pricing is the live Run BiOS rate card at runbios.ai/#models, runbios.ai/pricing-calculator and each model page. ## Product - [Homepage](https://runbios.ai/): The complete enterprise AI stack, the live model catalog, managed access, enterprise deployment, and the pricing calculator. Run BiOS brings inference, fine-tuning, evaluation, data generation, and continuous improvement into one platform. - [Model library](https://runbios.ai/models): The served catalog of frontier open and closed models. Each model page publishes its context window, capabilities, and per-million-token rates. - [BiOS Adaptive](https://runbios.ai/adaptive): One endpoint that routes each request to the best model for the task. Routing balances quality, latency, and cost across the served catalog at published token rates. - [BiOS Conscious Loop](https://runbios.ai/conscious-loop): The governed continuous-improvement system. Approved production signals become curated data for the next model version. Each candidate is trained, evaluated against enterprise goals, and promoted when it performs better. The full cycle runs inside the enterprise environment on a cadence and promotion policy the enterprise controls. - [Pricing calculator](https://runbios.ai/pricing-calculator): Estimated cost per period for any model, token volume and input mix at the rates Run BiOS charges today. - [Get started: 50% extra on your first top-up](https://runbios.ai/get-started): The managed-service offer for new accounts. The page includes exact bonus-credit arithmetic, the live pricing calculator, a three-step setup guide, and a billing FAQ. - [Enterprise](https://runbios.ai/enterprise): The complete Run BiOS stack deployed inside the enterprise cloud account or data center. Inference, training, evaluation, data generation, adaptive routing, dedicated endpoints, and the BiOS Conscious Loop run within the enterprise boundary. The enterprise owns the environment, hardware, network policy, data, evaluations, checkpoints, and model weights. - [Custom training](https://runbios.ai/custom-training): Fine-tuning on dedicated GPUs billed per second. Supported paths include pre-training, continued pre-training, supervised fine-tuning, full fine-tunes, adapters, language models, and vision language models. The customer owns the exported checkpoint. - [Agent integrations](https://runbios.ai/integrations): Coding, messaging, and personal-agent frameworks connect to Run BiOS through a base URL, API key, and model id. The same interface supports managed inference and dedicated enterprise deployments. - [LiteLLM](https://runbios.ai/integrations/litellm): Every Run BiOS model behind one LiteLLM Proxy with per-developer virtual keys and spend tracking. - [Agent frameworks](https://runbios.ai/integrations/agent-frameworks): LangChain, LlamaIndex, CrewAI, PydanticAI, Strands Agents, and AWS AgentCore on the same OpenAI-compatible endpoint. ## Pricing facts - New accounts get 50% extra on their first top-up. - Inference is priced per million tokens. Input, output, and cached input carry published rates. - [Current model rates](https://runbios.ai/pricing-calculator/): Published input, output, and cached-input prices from the production API. - [Model capabilities](https://runbios.ai/models/): Current context windows and capabilities for each served model. - Fine-tuning and dedicated endpoints are billed per second of GPU time. The customer owns the trained weights. - Adaptive routing cuts enterprise AI spend by 45-70%, the range published on the homepage. - [Compare model costs](https://runbios.ai/compare): Estimated costs across Run BiOS models for your token volume and input mix, at current charges including valid promotions. ## API - [API overview](https://platform.runbios.ai/docs/api-overview): Base URL https://api.runbios.ai/v1. The API is OpenAI-compatible, so existing OpenAI SDK code works by changing the base URL and key. - [Deployments](https://platform.runbios.ai/docs/deployments): Dedicated GPU endpoints for fine-tuned and custom models, billed per second. Serverless inference is the per-token managed product. - [Billing and wallet](https://platform.runbios.ai/docs/billing): How charges and credits work. - [Support](https://platform.runbios.ai/docs/support): Support channels and response expectations. ## Research The research section uses abstracts, numbered sections, figures, and live references. Each paper states its current boundaries and places every performance claim beside its method. - [Research index](https://runbios.ai/research): All published papers and the standards they follow. - [The BiOS Conscious Loop](https://runbios.ai/research/conscious-loop): The six-stage system that turns enterprise work into curated data, evaluated model versions, and governed promotion inside the enterprise boundary. - [The BiOS training engine](https://runbios.ai/research/training-engine): Single-device model code with declared parallelism and five composable ways to distribute a training run. - [The BiOS inference engine](https://runbios.ai/research/inference-engine): Four cache tiers for agentic serving, exact cache reuse, and portable operation across accelerator generations. - [Adaptive inference](https://runbios.ai/research/adaptive-inference): Matching model capability to each request and measuring allocation quality against enterprise traffic. Both engines are built on PyTorch and are components of the Run BiOS product. ## Case studies Anonymized enterprise deployments with qualitative outcomes. - [All case studies](https://runbios.ai/case-studies): Seven industry deployment write-ups. - [Ad tech](https://runbios.ai/case-studies/ad-tech): High-volume ad classification routed through BiOS Adaptive, with frontier models reserved for the work that benefits from them. - [Finance](https://runbios.ai/case-studies/finance): An analyst copilot rolled out firm-wide with Adaptive routing and a fine-tuned model that drafts in the firm’s house style. - [Retail and e-commerce](https://runbios.ai/case-studies/retail-ecommerce): Storefront copy and support right-sized across open models. - [Legal](https://runbios.ai/case-studies/legal): Contract diligence drafted in the firm’s own clause language by a fine-tuned model it owns. - [Manufacturing and logistics](https://runbios.ai/case-studies/manufacturing-logistics): Maintenance and SOP questions answered by a model fine-tuned on enterprise documentation. - [Media and telecom](https://runbios.ai/case-studies/media-telecom): Feed-scale moderation and tagging on right-sized models, with premium judgment reserved for edge cases. - [Insurance](https://runbios.ai/case-studies/insurance): Claims intake summarized in the carrier’s terminology by a fine-tuned model it owns. ## Blog - [Blog](https://runbios.ai/blog): Inference economics, cost engineering, fine-tuning, alignment, and model training. - [Cost and Pricing](https://runbios.ai/blog/category/cost-pricing): Per-token rates, dated comparisons, break-even arithmetic, and enterprise inference costs. - [Inference](https://runbios.ai/blog/category/inference): Model routing, prompt caching, API migration, and vendor evaluation. - [Fine-Tuning](https://runbios.ai/blog/category/fine-tuning): SFT, LoRA, QLoRA, continued pre-training, vision language models, dataset preparation, and GPU training costs. - [Alignment](https://runbios.ai/blog/category/alignment): DPO, SimPO, ORPO, CPO, KTO, reward modeling, and RLHF. - [Platform](https://runbios.ai/blog/category/platform): Overviews of the Run BiOS platform. ## Product ownership and policy - [About](https://runbios.ai/about): Run BiOS is an end-to-end enterprise AI platform. The name reflects the intelligent input and output layer that coordinates enterprise AI workloads. - [UltraSafe AI](https://us.inc/): Run BiOS is a product of UltraSafe AI. UltraSafe AI is based in Nevada, USA, and Dubai, UAE. - [Careers](https://runbios.ai/careers): Fully remote roles on the dedicated Run BiOS team. - [Partners](https://runbios.ai/partners): The Run BiOS channel partner program with recurring revenue share, deal registration, tiers, and a partner support lane. - [Contact](https://runbios.ai/contact): Contact the dedicated Run BiOS team at contact@runbios.ai. Replies arrive within 24 hours on business days. - [Privacy](https://runbios.ai/privacy) and [Terms](https://runbios.ai/terms): Legal policies for Run BiOS, operated by Ultrasafe AI Inc.