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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.

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.

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.


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 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 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.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Kiro.dev is a powerful AI-powered code generation tool designed to accelerate the software development process. It leverages advanced machine learning models to help developers write code faster, more efficiently, and with fewer errors. Kiro.dev offers various features, including code completion, code generation from natural language prompts, and code explanation, making it a valuable asset for developers of all skill levels.

Fractal AI is a global leader in enterprise artificial intelligence, dedicated to empowering human decision-making across organizations. With over two decades of experience, Fractal provides end-to-end AI solutions that integrate engineering, design, and domain expertise to deliver impactful results for Fortune 500 companies.

Fractal AI is a global leader in enterprise artificial intelligence, dedicated to empowering human decision-making across organizations. With over two decades of experience, Fractal provides end-to-end AI solutions that integrate engineering, design, and domain expertise to deliver impactful results for Fortune 500 companies.

Fractal AI is a global leader in enterprise artificial intelligence, dedicated to empowering human decision-making across organizations. With over two decades of experience, Fractal provides end-to-end AI solutions that integrate engineering, design, and domain expertise to deliver impactful results for Fortune 500 companies.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Genloop is a platform that empowers enterprises to build, deploy, and manage custom, private large language models (LLMs) tailored to their business data and requirements — all with minimal development effort. It turns enterprise data into intelligent, conversational insights, allowing users to ask business questions in natural language and receive actionable analysis instantly. The platform enables organizations to confidently manage their data-driven decision-making by offering advanced fine-tuning, automation, and deployment tools. Businesses can transform their existing datasets into private AI assistants that deliver accurate insights, while maintaining complete security and compliance. Genloop’s focus is on bridging the gap between AI and enterprise data operations, providing a scalable, trustworthy, and adaptive solution for teams that want to leverage AI without extensive coding or infrastructure complexity.


Smolagents is a minimalist yet powerful Python library designed to create intelligent agents that think and act through code. It enables developers to build agents that write their actions as Python code snippets, making the agent's logic clear and easy to customize. Supporting various language models (LLMs) from local transformers to open AI services, smolagents offers a flexible, model-agnostic framework for running agents. With sandboxed execution for security, tool integrations, and support for multiple input types including text, vision, and audio, the library aims to make agent development accessible and efficient for a wide range of AI applications.


Smolagents is a minimalist yet powerful Python library designed to create intelligent agents that think and act through code. It enables developers to build agents that write their actions as Python code snippets, making the agent's logic clear and easy to customize. Supporting various language models (LLMs) from local transformers to open AI services, smolagents offers a flexible, model-agnostic framework for running agents. With sandboxed execution for security, tool integrations, and support for multiple input types including text, vision, and audio, the library aims to make agent development accessible and efficient for a wide range of AI applications.


Smolagents is a minimalist yet powerful Python library designed to create intelligent agents that think and act through code. It enables developers to build agents that write their actions as Python code snippets, making the agent's logic clear and easy to customize. Supporting various language models (LLMs) from local transformers to open AI services, smolagents offers a flexible, model-agnostic framework for running agents. With sandboxed execution for security, tool integrations, and support for multiple input types including text, vision, and audio, the library aims to make agent development accessible and efficient for a wide range of AI applications.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


Pruna.ai is an AI optimization engine designed to make machine learning models faster, smaller, cheaper, and greener with minimal overhead. It leverages advanced compression algorithms like pruning, quantization, distillation, caching, and compilation to reduce model size and accelerate inference times. The platform supports various AI models including large language models, vision transformers, and speech recognition models, making it ideal for real-time applications such as autonomous systems and recommendation engines. Pruna.ai aims to lower computational costs, decrease energy consumption, and improve deployment scalability across cloud and on-premise environments while ensuring minimal loss of model quality.


Powerdrill AI is an advanced, no-code data analysis platform that enables users—across business, academic, or technical domains—to upload datasets, ask natural-language questions, generate reports and visualizations, and extract actionable insights quickly. Built for speed and accessibility, the platform supports multiple file types (CSV, Excel, PDF, TSV), database connections and conversational interfaces, making it possible to move from raw data to insight without requiring data-science skills. According to its documentation, users can upload spreadsheets, merge datasets, remove duplicates, generate professional-grade reports, select visualisations, conduct exploratory data analysis and share insights with teams.


Powerdrill AI is an advanced, no-code data analysis platform that enables users—across business, academic, or technical domains—to upload datasets, ask natural-language questions, generate reports and visualizations, and extract actionable insights quickly. Built for speed and accessibility, the platform supports multiple file types (CSV, Excel, PDF, TSV), database connections and conversational interfaces, making it possible to move from raw data to insight without requiring data-science skills. According to its documentation, users can upload spreadsheets, merge datasets, remove duplicates, generate professional-grade reports, select visualisations, conduct exploratory data analysis and share insights with teams.


Powerdrill AI is an advanced, no-code data analysis platform that enables users—across business, academic, or technical domains—to upload datasets, ask natural-language questions, generate reports and visualizations, and extract actionable insights quickly. Built for speed and accessibility, the platform supports multiple file types (CSV, Excel, PDF, TSV), database connections and conversational interfaces, making it possible to move from raw data to insight without requiring data-science skills. According to its documentation, users can upload spreadsheets, merge datasets, remove duplicates, generate professional-grade reports, select visualisations, conduct exploratory data analysis and share insights with teams.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


LangChain is a powerful open-source framework designed to help developers build context-aware applications that leverage large language models (LLMs). It allows users to connect language models to various data sources, APIs, and memory components, enabling intelligent, multi-step reasoning and decision-making processes. LangChain supports both Python and JavaScript, providing modular building blocks for developers to create chatbots, AI assistants, retrieval-augmented generation (RAG) systems, and agent-based tools. The framework is widely adopted across industries for its flexibility in connecting structured and unstructured data with LLMs.


Chef by Convex is an AI-powered development assistant built to help developers create, test, and deploy web applications faster using natural language prompts. Integrated with Convex’s backend-as-a-service platform, Chef automates code generation, database setup, and API creation, enabling developers to move from concept to functional prototype within minutes. The tool understands developer intent, allowing users to describe what they want and instantly receive production-ready code snippets. With collaborative features and integrated testing environments, Chef by Convex simplifies modern app development for both individuals and teams, combining AI intelligence with backend scalability.


Chef by Convex is an AI-powered development assistant built to help developers create, test, and deploy web applications faster using natural language prompts. Integrated with Convex’s backend-as-a-service platform, Chef automates code generation, database setup, and API creation, enabling developers to move from concept to functional prototype within minutes. The tool understands developer intent, allowing users to describe what they want and instantly receive production-ready code snippets. With collaborative features and integrated testing environments, Chef by Convex simplifies modern app development for both individuals and teams, combining AI intelligence with backend scalability.


Chef by Convex is an AI-powered development assistant built to help developers create, test, and deploy web applications faster using natural language prompts. Integrated with Convex’s backend-as-a-service platform, Chef automates code generation, database setup, and API creation, enabling developers to move from concept to functional prototype within minutes. The tool understands developer intent, allowing users to describe what they want and instantly receive production-ready code snippets. With collaborative features and integrated testing environments, Chef by Convex simplifies modern app development for both individuals and teams, combining AI intelligence with backend scalability.

LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.

LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.

LLM.co LLM-as-a-Service (LLMaaS) is a secure, enterprise-grade AI platform that provides private and fully managed large language model deployments tailored to an organization’s specific industry, workflows, and data. Unlike public LLM APIs, each client receives a dedicated, single-tenant model hosted in private clouds or virtual private clouds (VPCs), ensuring complete data privacy and compliance. The platform offers model fine-tuning on proprietary internal documents, semantic search, multi-document Q&A, custom AI agents, contract review, and offline AI capabilities for regulated industries. It removes infrastructure burdens by handling deployment, scaling, and monitoring, while enabling businesses to customize models for domain-specific language, regulatory compliance, and unique operational needs.


Fei Studio is an advanced AI-driven development platform created by AutonomyAI that transforms how product teams build real software by unifying design, product management, and engineering into a single, collaborative workflow. Unlike traditional tools that separate design mockups from engineering execution, Fei Studio allows teams to generate production-ready code and product updates directly from plain language descriptions, screenshots, Figma designs, or Jira tickets—dramatically reducing the time from concept to implementation.


Fei Studio is an advanced AI-driven development platform created by AutonomyAI that transforms how product teams build real software by unifying design, product management, and engineering into a single, collaborative workflow. Unlike traditional tools that separate design mockups from engineering execution, Fei Studio allows teams to generate production-ready code and product updates directly from plain language descriptions, screenshots, Figma designs, or Jira tickets—dramatically reducing the time from concept to implementation.


Fei Studio is an advanced AI-driven development platform created by AutonomyAI that transforms how product teams build real software by unifying design, product management, and engineering into a single, collaborative workflow. Unlike traditional tools that separate design mockups from engineering execution, Fei Studio allows teams to generate production-ready code and product updates directly from plain language descriptions, screenshots, Figma designs, or Jira tickets—dramatically reducing the time from concept to implementation.
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.
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