- Developers & Engineers: Rapidly prototype, orchestrate, fine-tune, and deploy AI agents and workflows using APIs or visual tools.
- Enterprises & Compliance Teams: On-prem or VPC deployment with SOC 2, HIPAA, GDPR compliance ensuring data sovereignty.
- Product & IT Teams: Manage lifecycle of AI assistants, monitor performance, enforce guardrails, and troubleshoot via observability.
- Data & Analytics Teams: Build RAG-powered knowledge bases and autonomous data-analyst agents with low-code templates.
- Business Users & Non-Tech Teams: Use intuitive drag-and-drop tools to automate workflows without writing extensive code.
How to Use Dynamiq?
- Agent Builder: Use low-code visual editors with pre-built templates and Python extension to create AI agents.
- Workflow Automation: Drag-and-drop workflow modules to automate tasks like document review, fraud detection, and support response.
- RAG & Knowledge Integration: Connect enterprise data sources and enable retrieval-augmented generation.
- Deployment & Guardrails: Deploy agents on-premise or cloud-privately, setting validation rules for structured JSON/YAML output, filters, and policies.
- Fine-Tuning & Observability: Fine-tune LLMs with private data; monitor interactions, quality, token usage, error rates, and receive alerts.
- Unified GenAI Ops: Combines agent creation, RAG, deployment, observability, and guardrails in one platform.
- Enterprise Security: SOC 2, HIPAA, GDPR support with VPC, on-prem deployment, fine-grained access control.
- Low-Code, High Flexibility: Visual builder plus Python extensibility enables both non-technical and technical teams to customize agents.
- Deep Observability: Live metrics, logs, LLM-as-judge evaluation, alerting, and drift detection ensure reliability.
- Multi-Agent Orchestration: Support for specialized agents coordinating within workflows to handle complex, modular tasks.
- End-to-end platform—from idea to production—with no glue code
- Strong enterprise compliance and security posture
- Visual low‑code builders with developer-level customization
- Built-in fine-tuning and observability pipelines
- Scalable multi-agent orchestration and RAG-ready workflows
- Platform complexity may be overwhelming for smaller teams
- On-prem deployments require infrastructure management
- May be costly for low-volume or small-scale use cases
Free
$ 0.00
1 deployed workflow
1 RAG knowledge base
1,000 workflow executions per month
Community-based customer support
Solo
$ 29.00
5 deployed workflows
5 RAG knowledge bases
10,000 workflow executions per month
Email-based customer support
Starter
$ 125.00
10 deployed workflows
10 RAG knowledge bases
10 fine-tuned models
50,000 workflow executions per month
Email-based customer support
Growth
$ 975.00
20 deployed workflows
20 RAG knowledge bases
20 fine-tuned models
100,000 workflow executions per month
Email-based customer support
Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.
Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.
Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Similar AI Tools
Optimizely
Optimizely is a leading Digital Experience Platform (DXP) that empowers businesses to build, manage, and optimize digital experiences across web, mobile, and backend systems . It brings together content management, experimentation, personalization, and feature management—all with built-in AI—to help teams deliver data-driven user experiences.
Optimizely
Optimizely is a leading Digital Experience Platform (DXP) that empowers businesses to build, manage, and optimize digital experiences across web, mobile, and backend systems . It brings together content management, experimentation, personalization, and feature management—all with built-in AI—to help teams deliver data-driven user experiences.
Optimizely
Optimizely is a leading Digital Experience Platform (DXP) that empowers businesses to build, manage, and optimize digital experiences across web, mobile, and backend systems . It brings together content management, experimentation, personalization, and feature management—all with built-in AI—to help teams deliver data-driven user experiences.
UsageGuard
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
UsageGuard
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
UsageGuard
UsageGuard is an AI infrastructure platform designed to help businesses build, deploy, and monitor AI applications with confidence. It acts as a proxy service for Large Language Model (LLM) API calls, providing a unified endpoint that offers a suite of enterprise-grade features. Its core mission is to empower developers and enterprises with robust solutions for AI security, cost control, usage tracking, and comprehensive observability.
Groq APP Gen
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
Groq APP Gen
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
Groq APP Gen
Groq AppGen is an innovative, web-based tool that uses AI to generate and modify web applications in real-time. Powered by Groq's LLM API and the Llama 3.3 70B model, it allows users to create full-stack applications and components using simple, natural language queries. The platform's primary purpose is to dramatically accelerate the development process by generating code in milliseconds, providing an open-source solution for both developers and "no-code" users.
Zipy AI
Zipy is a unified, AI-powered customer experience platform designed to help developers and product teams debug and monitor their mobile and web applications. The service provides advanced tools like AI-powered session replays and error monitoring to identify and resolve bugs quickly, ultimately improving user experience.
Zipy AI
Zipy is a unified, AI-powered customer experience platform designed to help developers and product teams debug and monitor their mobile and web applications. The service provides advanced tools like AI-powered session replays and error monitoring to identify and resolve bugs quickly, ultimately improving user experience.
Zipy AI
Zipy is a unified, AI-powered customer experience platform designed to help developers and product teams debug and monitor their mobile and web applications. The service provides advanced tools like AI-powered session replays and error monitoring to identify and resolve bugs quickly, ultimately improving user experience.
Radal AI
Radal AI is a no-code platform designed to simplify the training and deployment of small language models (SLMs) without requiring engineering or MLOps expertise. With an intuitive visual interface, you can drag your data, interact with an AI copilot, and train models with a single click. Trained models can be exported in quantized form for edge or local deployment, and seamlessly pushed to Hugging Face for easy sharing and versioning. Radal enables rapid iteration on custom models—making AI accessible to startups, researchers, and teams building domain-specific intelligence.
Radal AI
Radal AI is a no-code platform designed to simplify the training and deployment of small language models (SLMs) without requiring engineering or MLOps expertise. With an intuitive visual interface, you can drag your data, interact with an AI copilot, and train models with a single click. Trained models can be exported in quantized form for edge or local deployment, and seamlessly pushed to Hugging Face for easy sharing and versioning. Radal enables rapid iteration on custom models—making AI accessible to startups, researchers, and teams building domain-specific intelligence.
Radal AI
Radal AI is a no-code platform designed to simplify the training and deployment of small language models (SLMs) without requiring engineering or MLOps expertise. With an intuitive visual interface, you can drag your data, interact with an AI copilot, and train models with a single click. Trained models can be exported in quantized form for edge or local deployment, and seamlessly pushed to Hugging Face for easy sharing and versioning. Radal enables rapid iteration on custom models—making AI accessible to startups, researchers, and teams building domain-specific intelligence.
Mirai
TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.
Mirai
TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.
Mirai
TryMirai is an on-device AI infrastructure platform that enables developers to integrate high-performance AI models directly into their apps with minimal latency, full data privacy, and no inference costs. The platform includes an optimized library of models (ranging in parameter sizes such as 0.3B, 0.5B, 1B, 3B, and 7B) to match different business goals, ensuring both efficiency and adaptability. It offers a smart routing engine to balance performance, privacy, and cost, and tools like SDKs for Apple platforms (with upcoming support for Android) to simplify integration. Users can deploy AI capabilities—such as summarization, classification, general chat, and custom use cases—without relying on cloud offloading, which reduces dependencies on network connectivity and protects user data.
Defang
Defang is an AI‑DevOps agent and cloud deployment tool that enables developers to take an app (from Docker Compose or natural language prompt) and deploy it securely, scalably, and with minimal friction to a cloud environment of their choice. It handles infrastructure, services, security, networking, observability, and more — so developers can focus on building rather than managing deployment complexity.
Defang
Defang is an AI‑DevOps agent and cloud deployment tool that enables developers to take an app (from Docker Compose or natural language prompt) and deploy it securely, scalably, and with minimal friction to a cloud environment of their choice. It handles infrastructure, services, security, networking, observability, and more — so developers can focus on building rather than managing deployment complexity.
Defang
Defang is an AI‑DevOps agent and cloud deployment tool that enables developers to take an app (from Docker Compose or natural language prompt) and deploy it securely, scalably, and with minimal friction to a cloud environment of their choice. It handles infrastructure, services, security, networking, observability, and more — so developers can focus on building rather than managing deployment complexity.
SiliconFlow
SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.
SiliconFlow
SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.
SiliconFlow
SiliconFlow is an AI infrastructure platform built for developers and enterprises who want to deploy, run, and fine-tune large language models (LLMs) and multimodal models efficiently. It offers a unified stack for inference, model hosting, and acceleration so that you don’t have to manage all the infrastructure yourself. The platform supports many open source and commercial models, high throughput, low latency, autoscaling and flexible deployment (serverless, reserved GPUs, private cloud). It also emphasizes cost-effectiveness, data security, and feature-rich tooling such as APIs compatible with OpenAI style, fine-tuning, monitoring, and scalability.
OnSpace AI
OnSpace AI is a no-code app builder platform designed to help users quickly turn ideas into mobile, web, and cross-platform applications without deep programming knowledge. It provides tools for designing, previewing, deploying, monetizing, and managing apps—so individuals or businesses can bring apps from concept to production fast.
OnSpace AI
OnSpace AI is a no-code app builder platform designed to help users quickly turn ideas into mobile, web, and cross-platform applications without deep programming knowledge. It provides tools for designing, previewing, deploying, monetizing, and managing apps—so individuals or businesses can bring apps from concept to production fast.
OnSpace AI
OnSpace AI is a no-code app builder platform designed to help users quickly turn ideas into mobile, web, and cross-platform applications without deep programming knowledge. It provides tools for designing, previewing, deploying, monetizing, and managing apps—so individuals or businesses can bring apps from concept to production fast.
Sim Studio
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
Sim Studio
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
Sim Studio
Sim.AI is a cloud-native platform designed to streamline the development and deployment of AI agents. It offers a user-friendly, open-source environment that allows developers to create, connect, and automate workflows effortlessly. With seamless integrations and no-code setup, Sim.AI empowers teams to enhance productivity and innovation.
StatStream AI
StatStream.ai is an AI-powered platform that combines IoT, Computerized Maintenance Management System (CMMS), and Energy Management System (EMS) functionalities to help industries monitor assets, streamline maintenance, and optimize energy usage. Designed for sectors like manufacturing, hospitality, healthcare, and education, StatStream.ai enhances operational efficiency through real-time data, predictive analytics, and automation.
StatStream AI
StatStream.ai is an AI-powered platform that combines IoT, Computerized Maintenance Management System (CMMS), and Energy Management System (EMS) functionalities to help industries monitor assets, streamline maintenance, and optimize energy usage. Designed for sectors like manufacturing, hospitality, healthcare, and education, StatStream.ai enhances operational efficiency through real-time data, predictive analytics, and automation.
StatStream AI
StatStream.ai is an AI-powered platform that combines IoT, Computerized Maintenance Management System (CMMS), and Energy Management System (EMS) functionalities to help industries monitor assets, streamline maintenance, and optimize energy usage. Designed for sectors like manufacturing, hospitality, healthcare, and education, StatStream.ai enhances operational efficiency through real-time data, predictive analytics, and automation.
APIDNA
APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.
APIDNA
APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.
APIDNA
APIDNA is an AI-powered platform that transforms API integrations by using autonomous AI agents to automate complex tasks such as endpoint integration, client mapping, data handling, and response management. The platform allows developers to connect software systems seamlessly without writing manual code. It streamlines integration processes by analyzing APIs, mapping client requests, transforming data, and generating ready-to-use code automatically. With real-time monitoring, end-to-end testing, and robust security, APIDNA ensures integrations are efficient, reliable, and scalable. It caters to software developers, system integrators, IT managers, and automation engineers across multiple industries, including fintech, healthcare, and e-commerce. By reducing the manual effort involved in connecting APIs, APIDNA frees teams to focus on building innovative features and improving business operations.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai