
The Operating Platform for GenAI Applications.
A startup from San Francisco, the United States that is founded by Vitalii Duk.
This page is designed to help you find out whether Dynamiq.ai is good and if it is the right choice for you.
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle.
đ ī¸ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale
đ§ Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes
đ¤ Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs
đ Observability: Log all interactions, use large-scale LLM quality evaluations
đĻē Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention
đģ Fine-tuning: Fine-tune proprietary LLM models to make them your own
âī¸ Air-gapped Solution: Dynamiq specializes in enabling clients that manage highly sensitive data to leverage LLMs while maintaining ironclad security thank to stringent security controls.
đšī¸ Vendor-Agnostic: Through integration capabilities, our clients can build GenAI applications using a variety of models from providers such as OpenAI and have the flexibility to switch to other providers if needed.
𧲠All-In-One Solution: We cover the entire GenAI development process from ideation to deployment
đī¸ AI Assistants: Equip your team with custom AI assistants that streamline tasks, enhance information access, and boost productivity
đ§ Knowledge Base: Build a dynamic AI knowledge base with our platform that streamlines decision-making, enhances productivity and allows employees to spend less time navigating through extensive company documents, files, and databases
đĸ Workflow Automations: Design powerful, no-code workflows that leverage your enterprise's knowledge to enhance content creation, CRM enrichment, and customer support
Listed in
Heads of: Data Science, Engineering, Innovation at big enterprise companies
Kubernetes, OpenAI, Anthropic, Cohere, Golang, Python
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