Build, deploy and monitor on-premise GenAI applications to solve specific business needs, reducing costs and driving revenue.
Dynamiq is an operating platform for building, deploying, and monitoring on-premise GenAI applications. It offers a comprehensive suite including rapid prototyping, testing, deployment, observability, and model fine-tuning, all within your own infrastructure. The platform supports workflows, knowledge & RAG, guardrails, and collaboration, with bank-grade security (SOC 2, GDPR, HIPAA). It helps enterprises reduce costs, drive revenue, and boost competitiveness by streamlining AI development from months to hours.
Key Features
check_circleWorkflow builder
check_circleKnowledge & RAG
check_circleDeployment options
check_circleGuardrails
check_circleObservability
check_circleLLM fine-tuning
check_circleCollaboration workspace
check_circleOn-premise deployment
check_circleSOC 2 compliance
check_circleGDPR compliance
check_circleHIPAA compliance
check_circleLow-code interface
check_circleRapid prototyping
check_circleTesting suite
check_circleModel fine-tuning with two clicks
Use Cases
lightbulbEnterprise AI teams build conversational workflows with RAG to centralize company data, enabling accurate and context-aware responses that reduce customer support resolution time by 50%.
lightbulbHealthcare organizations deploy on-premise GenAI applications to process sensitive medical data, ensuring HIPAA compliance while automating patient intake and documentation.
lightbulbFinancial services firms use guardrails and structured output to generate compliant reports and risk assessments, cutting manual review time from days to hours.
lightbulbProduct teams prototype and test agentic AI applications in hours instead of months, accelerating time-to-market for new AI-powered features.
lightbulbML teams fine-tune open-source LLMs on private data with two clicks, owning the models and reducing dependency on third-party APIs.
lightbulbCompliance officers leverage on-premise deployment to keep data within their VPC, meeting regulatory requirements and avoiding data leakage risks.
lightbulbOperations managers monitor all AI interactions through observability dashboards, gaining real-time insights and debugging issues quickly to maintain system reliability.
GenAIagentic AIon-premiseLLM fine-tuningRAGworkflowsobservabilityguardrailslow-codeenterprise AI
