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Dynamiq

Free plan available

Build agentic GenAI applications in a matter of hours

Rapid prototyping
Low-code platform
Model fine-tuning
Multi-agent orchestration
Guardrails and evaluations
Deployment and scaling

About Dynamiq

Launched Mar 03, 2025

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Introduction Video

Description

Build agentic GenAI applications in a matter of hours

Dynamiq is an low-code end-to-end operating platform for Agentic AI applications. From model fine-tuning to multi-agent orchestration, we cover the entire GenAI lifecycle. Everything you need, from guardrails and evaluations to deployment, is all in one place. So whether you’re a developer or a data scientists, you can rapidly prototype, deploy, and scale your GenAI solutions without switching between tools.
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Dynamiq Key Features

  • Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale
  • Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes
  • Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs
  • Observability & Evaluations: Log all interactions, use large-scale LLM quality evaluations
  • Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention
  • Fine-tuning: Fine-tune proprietary LLM models to make them your own

Dynamiq Use Cases

  • Proof of Funds Verification for Financial Compliance
  • Automated Contract Redlining
  • Internal Knowledge Bases
  • Personalized Marketing Campaigns
  • Automated Reporting

Pros

  • End-to-end operating platform that covers the entire GenAI lifecycle.
  • Facilitates rapid prototyping, deployment, and scaling of GenAI solutions.
  • Low-code platform that supports both developers and data scientists.
  • Includes features for model fine-tuning and multi-agent orchestration.
  • Offers built-in guardrails, evaluations, and deployment tools, eliminating the need to switch between different applications.

Cons

  • May have a learning curve for those unfamiliar with GenAI concepts.
  • Limited to agentic AI applications, which might not cover all AI needs.
  • Potential for performance issues if not optimized for large-scale operations.

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