Dynamiq is an operating platform designed for building, deploying, and monitoring on-premise Generative AI (GenAI) applications. It provides a comprehensive suite of features to streamline the development cycle of AI applications, allowing for rapid prototyping, testing, deployment, observability, and model fine-tuning within a user's own infrastructure.

Key Features:

• Agents
• Workflows (for building conversational workflows)
• Knowledge & RAG (Retrieval Augmented Generation, for centralizing and enhancing data)
• Deployments (seamless deployment options)
• Observability (real-time insights, key metrics tracking, streamlined debugging, logging all interactions)
• Guardrails (ensuring precision, correctness, reliability in LLM outputs, validation, risk assessment)
• Fine-Tuning (seamless fine-tuning of open-source LLMs on private data)
• LLM Chat
• Templates
• Collaboration (shared workspace with company-wide guardrails)
• On-premise deployment (full control over data, regulatory compliance, custom security)
• A single tool for all needs (streamlining AI application development)
• PII Protection (sensitive customer data remains on-premises)
• Guaranteed structured output (LLMs forced to follow specific formats like JSON, YAML)
• Fine-grain access controls (managing user permissions and data accessibility)
• Dedicated Infrastructure (fine-tuning and deploying LLM models within VPC)

Use Cases:

• AI Assistants
• Knowledge base
• Workflow automations
• Enterprise use cases (governed on one platform)

Benefits:

• Reduces costs by avoiding the need to hire an in-house ML ops team (estimated $600k savings)
• Reduces development time from 6 months to hours
• Saves 30-50% on compliance costs with on-premise deployment
• Ensures data confidentiality and ownership by managing open-source LLMs or vector databases within corporate infrastructure
• Expedites time-to-market and optimizes productivity with a low-code AI application builder
• Reduces AI adoption costs with an intuitive interface, leveraging existing technical teams and eliminating the need for machine learning infrastructure
• Provides bank-grade security and privacy (SOC 2, GDPR, HIPAA compliance)
• Offers secure connectivity with databases and stringent controls over data processing)