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Amazon CodeGuru is a machine learning-powered developer tool from AWS that helps you automate code reviews and optimize application performance. By integrating seamlessly into your development workflow, CodeGuru analyzes your codebase for potential issues, security vulnerabilities, and performance bottlenecks—providing intelligent suggestions to improve code quality and reduce technical debt.

Amazon CodeGuru is a machine learning-powered developer tool from AWS that helps you automate code reviews and optimize application performance. By integrating seamlessly into your development workflow, CodeGuru analyzes your codebase for potential issues, security vulnerabilities, and performance bottlenecks—providing intelligent suggestions to improve code quality and reduce technical debt.

Amazon CodeGuru is a machine learning-powered developer tool from AWS that helps you automate code reviews and optimize application performance. By integrating seamlessly into your development workflow, CodeGuru analyzes your codebase for potential issues, security vulnerabilities, and performance bottlenecks—providing intelligent suggestions to improve code quality and reduce technical debt.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


Amazon Alexa is a cloud‑based virtual assistant and voice service created by Amazon, powering over 100 million devices—from smart speakers and displays to headphones, cars, and mobile apps. Alexa enables natural language processing for a wide range of voice tasks: music playback, news and weather updates, calendar management, smart home control, shopping voice commands, and more.


Amazon Alexa is a cloud‑based virtual assistant and voice service created by Amazon, powering over 100 million devices—from smart speakers and displays to headphones, cars, and mobile apps. Alexa enables natural language processing for a wide range of voice tasks: music playback, news and weather updates, calendar management, smart home control, shopping voice commands, and more.


Amazon Alexa is a cloud‑based virtual assistant and voice service created by Amazon, powering over 100 million devices—from smart speakers and displays to headphones, cars, and mobile apps. Alexa enables natural language processing for a wide range of voice tasks: music playback, news and weather updates, calendar management, smart home control, shopping voice commands, and more.

Base AI is a cutting-edge platform designed to simplify and accelerate the development of AI-powered applications. It provides a robust backend infrastructure that handles the complexities of building, deploying, and managing AI models, allowing developers to focus on creating the core functionality of their applications. By abstracting away the technical challenges of AI engineering, Base AI makes it easier and faster to integrate artificial intelligence into products.

Base AI is a cutting-edge platform designed to simplify and accelerate the development of AI-powered applications. It provides a robust backend infrastructure that handles the complexities of building, deploying, and managing AI models, allowing developers to focus on creating the core functionality of their applications. By abstracting away the technical challenges of AI engineering, Base AI makes it easier and faster to integrate artificial intelligence into products.

Base AI is a cutting-edge platform designed to simplify and accelerate the development of AI-powered applications. It provides a robust backend infrastructure that handles the complexities of building, deploying, and managing AI models, allowing developers to focus on creating the core functionality of their applications. By abstracting away the technical challenges of AI engineering, Base AI makes it easier and faster to integrate artificial intelligence into products.


Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.


Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.


Aisera is an AI-driven platform designed to transform enterprise service experiences through the integration of generative AI and advanced automation. It leverages Large Language Models (LLMs) and domain-specific AI capabilities to deliver proactive, personalized, and predictive solutions across various business functions such as IT, customer service, HR, and more.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.


Inception Labs is an AI research company that develops Mercury, the world's first commercial diffusion-based large language models. Unlike traditional autoregressive LLMs that generate tokens sequentially, Mercury models use diffusion architecture to generate text through parallel refinement passes. This breakthrough approach enables ultra-fast inference speeds of over 1,000 tokens per second while maintaining frontier-level quality. The platform offers Mercury for general-purpose tasks and Mercury Coder for development workflows, both featuring streaming capabilities, tool use, structured output, and 128K context windows. These models serve as drop-in replacements for traditional LLMs through OpenAI-compatible APIs and are available across major cloud providers including AWS Bedrock, Azure Foundry, and various AI platforms for enterprise deployment.

Chatbase is a customer support AI platform for building, deploying, and improving agents that resolve real issues across web, chat apps, and internal systems. Teams ground an agent on business data, define safe actions it can take, and connect tools like CRMs or order systems so it can fetch details and perform tasks securely. The platform emphasizes simplicity, security, and guardrails, including SOC 2 Type II and GDPR compliance. Agents handle complex queries, escalate to humans when needed, and learn over time through analytics and iteration. With multilingual support and cross‑channel deployment, Chatbase delivers fast resolutions while improving operational outcomes.

Chatbase is a customer support AI platform for building, deploying, and improving agents that resolve real issues across web, chat apps, and internal systems. Teams ground an agent on business data, define safe actions it can take, and connect tools like CRMs or order systems so it can fetch details and perform tasks securely. The platform emphasizes simplicity, security, and guardrails, including SOC 2 Type II and GDPR compliance. Agents handle complex queries, escalate to humans when needed, and learn over time through analytics and iteration. With multilingual support and cross‑channel deployment, Chatbase delivers fast resolutions while improving operational outcomes.

Chatbase is a customer support AI platform for building, deploying, and improving agents that resolve real issues across web, chat apps, and internal systems. Teams ground an agent on business data, define safe actions it can take, and connect tools like CRMs or order systems so it can fetch details and perform tasks securely. The platform emphasizes simplicity, security, and guardrails, including SOC 2 Type II and GDPR compliance. Agents handle complex queries, escalate to humans when needed, and learn over time through analytics and iteration. With multilingual support and cross‑channel deployment, Chatbase delivers fast resolutions while improving operational outcomes.


Vertesia is an enterprise generative AI platform built to help organizations design, deploy, and operate AI applications and agents at scale using a low-code approach. Its unified system offers multi-model support, trust/security controls, and components like Agentic RAG, autonomous agent builders, and document processing tools, all packaged in a way that lets teams move from prototype to production rapidly.


Vertesia is an enterprise generative AI platform built to help organizations design, deploy, and operate AI applications and agents at scale using a low-code approach. Its unified system offers multi-model support, trust/security controls, and components like Agentic RAG, autonomous agent builders, and document processing tools, all packaged in a way that lets teams move from prototype to production rapidly.


Vertesia is an enterprise generative AI platform built to help organizations design, deploy, and operate AI applications and agents at scale using a low-code approach. Its unified system offers multi-model support, trust/security controls, and components like Agentic RAG, autonomous agent builders, and document processing tools, all packaged in a way that lets teams move from prototype to production rapidly.


Nextbrowser is an AI-powered browser agent designed to automate professional online workflows with ease and reliability. It enables users to manage browser-based tasks such as logins, scraping, outreach, and form filling simply by chatting with AI. Nextbrowser acts like a real person in the browser, moving through tasks naturally and remaining indistinguishable from a human user. With features like persistent sign-ins, geo-location control, and scheduled automation, professionals and teams can streamline daily online operations, scale repetitive workflows, and focus on higher-value work without manual interruptions.


Nextbrowser is an AI-powered browser agent designed to automate professional online workflows with ease and reliability. It enables users to manage browser-based tasks such as logins, scraping, outreach, and form filling simply by chatting with AI. Nextbrowser acts like a real person in the browser, moving through tasks naturally and remaining indistinguishable from a human user. With features like persistent sign-ins, geo-location control, and scheduled automation, professionals and teams can streamline daily online operations, scale repetitive workflows, and focus on higher-value work without manual interruptions.


Nextbrowser is an AI-powered browser agent designed to automate professional online workflows with ease and reliability. It enables users to manage browser-based tasks such as logins, scraping, outreach, and form filling simply by chatting with AI. Nextbrowser acts like a real person in the browser, moving through tasks naturally and remaining indistinguishable from a human user. With features like persistent sign-ins, geo-location control, and scheduled automation, professionals and teams can streamline daily online operations, scale repetitive workflows, and focus on higher-value work without manual interruptions.


Cresta is an enterprise-grade generative AI platform built for contact centres, designed to combine human and AI agents in one unified workspace. It helps organisations analyse every customer conversation, extract insights, guide agents in real time, automate workflows and improve outcomes such as first-call resolution, conversion, and agent performance. The platform features include custom models trained on an organisation’s own data, low-latency real-time transcription and inference, no-code tools for business users to deploy and refine AI models, and a strong focus on combining quality assurance, coaching, automation and conversational intelligence. Recent funding has boosted the company’s growth and the product has been adopted by major enterprises to optimise service, sales and retention operations.


Cresta is an enterprise-grade generative AI platform built for contact centres, designed to combine human and AI agents in one unified workspace. It helps organisations analyse every customer conversation, extract insights, guide agents in real time, automate workflows and improve outcomes such as first-call resolution, conversion, and agent performance. The platform features include custom models trained on an organisation’s own data, low-latency real-time transcription and inference, no-code tools for business users to deploy and refine AI models, and a strong focus on combining quality assurance, coaching, automation and conversational intelligence. Recent funding has boosted the company’s growth and the product has been adopted by major enterprises to optimise service, sales and retention operations.


Cresta is an enterprise-grade generative AI platform built for contact centres, designed to combine human and AI agents in one unified workspace. It helps organisations analyse every customer conversation, extract insights, guide agents in real time, automate workflows and improve outcomes such as first-call resolution, conversion, and agent performance. The platform features include custom models trained on an organisation’s own data, low-latency real-time transcription and inference, no-code tools for business users to deploy and refine AI models, and a strong focus on combining quality assurance, coaching, automation and conversational intelligence. Recent funding has boosted the company’s growth and the product has been adopted by major enterprises to optimise service, sales and retention operations.


CloudGeni AI is a cloud management and automation platform powered by artificial intelligence. It helps organizations optimize, monitor, and secure cloud infrastructure across multiple providers such as AWS, Azure, and Google Cloud. By using predictive analytics, CloudGeni automates cost control, resource scaling, and security compliance, enabling teams to reduce manual workload and improve operational efficiency. Designed for IT admins, DevOps teams, and cloud architects, it ensures cost transparency and performance reliability for complex cloud ecosystems.


CloudGeni AI is a cloud management and automation platform powered by artificial intelligence. It helps organizations optimize, monitor, and secure cloud infrastructure across multiple providers such as AWS, Azure, and Google Cloud. By using predictive analytics, CloudGeni automates cost control, resource scaling, and security compliance, enabling teams to reduce manual workload and improve operational efficiency. Designed for IT admins, DevOps teams, and cloud architects, it ensures cost transparency and performance reliability for complex cloud ecosystems.


CloudGeni AI is a cloud management and automation platform powered by artificial intelligence. It helps organizations optimize, monitor, and secure cloud infrastructure across multiple providers such as AWS, Azure, and Google Cloud. By using predictive analytics, CloudGeni automates cost control, resource scaling, and security compliance, enabling teams to reduce manual workload and improve operational efficiency. Designed for IT admins, DevOps teams, and cloud architects, it ensures cost transparency and performance reliability for complex cloud ecosystems.

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.
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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