OpenAI-compatible inference, RAG, agents, and workflow automation — delivered on NVIDIA Blackwell GPUs.
Most providers resell the same models behind different URLs. We take a different approach: tiered inference, dedicated GPU infrastructure, and an applied AI research lab behind every endpoint.
OpenAI-compatible chat completions on NVIDIA Blackwell GPUs. Drop-in replacement: change your base URL, keep your existing code. Streaming, function calling, tool use, and structured outputs included.
Ingest documents, index embeddings, and run hybrid search against your private knowledge base. Build context-aware AI assistants without managing vector infrastructure.
Deploy tool-calling agents that read your CRM, query your database, and act on tickets. Built for operations teams, not just AI researchers.
SOC 2-ready infrastructure. Private deployment. Audit logging. Role-based access control. SSO/SAML. Data residency controls. Purpose-built for security and compliance teams evaluating AI infrastructure.
Chain inference, retrieval, and action steps into reusable pipelines. Automate reporting, content ops, alert routing, and data extraction — no engineering team required after setup.
Client SDKs for Python, Node.js, and Go. Interactive API reference. Real-time usage dashboard. Webhook notifications. Programmatic API key management. Integrate in hours, not weeks.
Three purpose-built tiers. One unified OpenAI-compatible endpoint. Set dms-auto-router as your model and the platform selects the strongest available model for your workload — your endpoint improves without a single code change.
64,000
token context window
Low-latency inference for customer-facing chat, high-volume classification, and real-time AI agents.
Use cases
Fastest model meeting quality threshold, prioritized by latency.
256,000
token context window
Structured generation accuracy, multi-file coherence, and instruction fidelity for precision-sensitive workloads.
Use cases
Top-performing code model, selected by benchmark performance.
1,000,000
token context window
Long-context reasoning, multi-document synthesis, and multi-step agent orchestration at scale.
Use cases
Best-in-class reasoning model, continuously evaluated and deployed.
Managed model selection. Call a single unified endpoint with your chosen tier — the router resolves the optimal model. No SDK changes. No redeployment.
Underlying models include Qwen, Llama, Mistral, and other leading open-weight and proprietary architectures.
OpenAI-compatible. Change your base URL to api.dmslab.ai. Keep your existing SDKs, libraries, and tooling. Streaming, function calling, structured outputs, and tool use — all preserved.
curl https://api.dmslab.ai/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "dms-auto-router", "messages": [ {"role": "system", "content": "You are a precise enterprise AI assistant."}, {"role": "user", "content": "Analyze this contract for non-standard liability clauses."} ], "temperature": 0.3, "max_tokens": 4096 }'From customer support agents to internal knowledge systems, document intelligence to automated operations. Six production workflows, one infrastructure stack.
Deploy AI agents for ticket classification, response generation, and knowledge-base-assisted resolution. Integrate with existing helpdesk platforms via API.
Ingest and process business documents at scale. Summarization, classification, entity extraction, and structured data output from unstructured inputs.
Build private retrieval-augmented generation systems over internal documentation, policies, and knowledge bases. Hybrid search combining semantic and keyword retrieval.
Automate multi-step business processes: document processing pipelines, data extraction workflows, alert routing, and scheduled report generation.
Code review assistance, documentation generation, test generation, and codebase Q&A. Integrates with existing development workflows and CI/CD pipelines.
Transform structured and unstructured business data into reports, summaries, and actionable operational insights. Supports scheduled and on-demand generation.
Role-based access control, comprehensive audit logging, data residency options, prompt injection detection, and enterprise AI governance tooling.
Weekly subscription with no per-token billing. Dedicated capacity available for enterprise deployments. Cancel anytime.
For prototypes and early experiments.
For teams building production AI features.
For production workloads and internal AI systems.
For private, secure, and custom deployments.
Production AI infrastructure that teams depend on. Not marketing claims — measurable outcomes.
“DMSlab.ai reduced our inference costs by 60% while giving us more control over model selection.”
Engineering Lead
Fintech SaaS Platform
“The tiered routing eliminated our model selection headaches. One endpoint, always the right model.”
CTO
Healthcare AI Startup
“We migrated from direct OpenAI in a single afternoon. Zero code changes beyond the base URL.”
VP Engineering
Enterprise SaaS Company
Dedicated GPU capacity, predictable throughput, private deployment options, and built-in security controls for teams running production AI workloads.
Start with 5 free hours. No credit card required. OpenAI-compatible in one line of code.