1
Country: USA | Funding: $27M
CopilotKit develops framework for creating interactive in-app AI agents. The company believes that in the future, agents will run inside apps, understand user actions, perform necessary actions, and display useful interfaces instead of simply returning long blocks of text. The company's open AG-UI protocol standardizes how AI agents connect and interact with user interfaces (such as a web browser or app), enabling such features as threaded chat, interface tool calls, and state exchange to enable human-assisted functionality. CopilotKit is also developing an enterprise toolkit based on AG-UI, adding support, self-service deployment features, and other necessary features for companies planning to integrate agents into their products.
CopilotKit develops framework for creating interactive in-app AI agents. The company believes that in the future, agents will run inside apps, understand user actions, perform necessary actions, and display useful interfaces instead of simply returning long blocks of text. The company's open AG-UI protocol standardizes how AI agents connect and interact with user interfaces (such as a web browser or app), enabling such features as threaded chat, interface tool calls, and state exchange to enable human-assisted functionality. CopilotKit is also developing an enterprise toolkit based on AG-UI, adding support, self-service deployment features, and other necessary features for companies planning to integrate agents into their products.
2
Country: Israel | Funding: $160M
Port is building an AI-agentic software development platform similar to Spotify's Backstage. The platform streamlines and automates workflows with AI agents, including finding, sharing them and ensuring their performance meets company standards. Port provides an orchestration layer with features that measure agent performance and, if necessary, add a human to the approval process. Its feature called "context lake" defines data sources, context memory and protection mechanisms for agents. In addition to using Port to catalog agents already created by developers using other tools, they can also use Port to create new agents. Port also offers several of its own pre-built agents that can perform tasks such as processing support tickets and handling resource provisioning.
Port is building an AI-agentic software development platform similar to Spotify's Backstage. The platform streamlines and automates workflows with AI agents, including finding, sharing them and ensuring their performance meets company standards. Port provides an orchestration layer with features that measure agent performance and, if necessary, add a human to the approval process. Its feature called "context lake" defines data sources, context memory and protection mechanisms for agents. In addition to using Port to catalog agents already created by developers using other tools, they can also use Port to create new agents. Port also offers several of its own pre-built agents that can perform tasks such as processing support tickets and handling resource provisioning.
3
Country: USA | Funding: $40M
NeoCognition is a research lab developing general-purpose AI agents capable of self-learning and becoming experts in any field, similar to how humans learn. Their learning process is essentially the process of constructing a model of the world for any profession (any given microcosm). NeoCognition plans to sell its agent systems primarily to enterprises, including established SaaS companies, who can use them to create agent workers or improve existing products.
NeoCognition is a research lab developing general-purpose AI agents capable of self-learning and becoming experts in any field, similar to how humans learn. Their learning process is essentially the process of constructing a model of the world for any profession (any given microcosm). NeoCognition plans to sell its agent systems primarily to enterprises, including established SaaS companies, who can use them to create agent workers or improve existing products.
4
Country: USA | Funding: $40M
Articul8 develops specialized GenAI systems that operate within clients' own local IT environment, rather than relying on cloud general-purpose models. Instead of selling standalone models, the company offers its technology as software applications and AI agents tailored to specific business functions, targeting regulated industries such as energy, manufacturing, aerospace, financial services, semiconductors, where data accuracy, auditability and control are critical. The company develops agentic reasoning engine that autonomously assembles the right squad of domain-specific agents for every mission.
Articul8 develops specialized GenAI systems that operate within clients' own local IT environment, rather than relying on cloud general-purpose models. Instead of selling standalone models, the company offers its technology as software applications and AI agents tailored to specific business functions, targeting regulated industries such as energy, manufacturing, aerospace, financial services, semiconductors, where data accuracy, auditability and control are critical. The company develops agentic reasoning engine that autonomously assembles the right squad of domain-specific agents for every mission.
6
Country: USA | Funding: $6M
AgentMail provides an API-first email platform that enables AI agents to send, receive, and manage emails with automation and analytics.
AgentMail provides an API-first email platform that enables AI agents to send, receive, and manage emails with automation and analytics.
7
Country: Israel | Funding: $626.5M
AI21 Labs specializes in developing open-source enterprise LLM models named Jamba. The startup competes with AI giants by focusing on enterprise market and local secure deployment. Jamba models are characterized by high performance and reliability, as well as the ability to be customized to meet the individual needs of each organization. Jamba's 256 KB context window quickly processes large documents, from financial reports and contracts to searching across entire knowledge bases. AI21 Labs also provides a platform that enables enterprises to develop their own generative AI applications and agents based on Jamba models. Maestro agents can extract, analyze and synthesize data from various sources, delivering accurate and transparent results.
AI21 Labs specializes in developing open-source enterprise LLM models named Jamba. The startup competes with AI giants by focusing on enterprise market and local secure deployment. Jamba models are characterized by high performance and reliability, as well as the ability to be customized to meet the individual needs of each organization. Jamba's 256 KB context window quickly processes large documents, from financial reports and contracts to searching across entire knowledge bases. AI21 Labs also provides a platform that enables enterprises to develop their own generative AI applications and agents based on Jamba models. Maestro agents can extract, analyze and synthesize data from various sources, delivering accurate and transparent results.
8
Country: USA | Funding: $481M
Decagon provides a conversational AI platform for automating customer support across multiple channels.
Decagon provides a conversational AI platform for automating customer support across multiple channels.
9
Country: USA | Funding: $472M
Replit allows to vibe code directly in mobile app - describe your app idea in simple terms and watch agent is turning into a working product. Whether it's a mobile game, a productivity tool, or a small digital store, the platform can generate the app and, what's more, help publish it to app stores. For example, if a stock trader tasks an agent with "creating an app tracking the 10 largest public companies by market capitalization" - Replit generates a mobile app with a working interface and allows him to preview and test the app. Replit has also integrated its platform with the Stripe payment processing system, allowing users to monetize their apps easily.
Replit allows to vibe code directly in mobile app - describe your app idea in simple terms and watch agent is turning into a working product. Whether it's a mobile game, a productivity tool, or a small digital store, the platform can generate the app and, what's more, help publish it to app stores. For example, if a stock trader tasks an agent with "creating an app tracking the 10 largest public companies by market capitalization" - Replit generates a mobile app with a working interface and allows him to preview and test the app. Replit has also integrated its platform with the Stripe payment processing system, allowing users to monetize their apps easily.
10
Country: USA | Funding: $47M
Nimble is developing a platform that uses AI agents to search the web in real time, verify and validate results, and structure the information into tables that can then be queried like a database. The platform integrates with enterprise data warehouses and data lakes offered by companies like Databricks and Snowflake. This means its AI agents can connect to a company's massive data set, using it to create context and shape the structure and display of search results. These integrations also allow Nimble's software to learn constraints - for example, how a search should be performed or which data sources to use. This is particularly useful for applications such as competitor analysis, pricing research, know-your-customer processes, brand monitoring, in-depth research, and financial analysis.
Nimble is developing a platform that uses AI agents to search the web in real time, verify and validate results, and structure the information into tables that can then be queried like a database. The platform integrates with enterprise data warehouses and data lakes offered by companies like Databricks and Snowflake. This means its AI agents can connect to a company's massive data set, using it to create context and shape the structure and display of search results. These integrations also allow Nimble's software to learn constraints - for example, how a search should be performed or which data sources to use. This is particularly useful for applications such as competitor analysis, pricing research, know-your-customer processes, brand monitoring, in-depth research, and financial analysis.
11
Country: Italy | Funding: €40M
iGenius develops enterprise AI platform that allows to create and manage AI applications and agents via centralized control system. iGenius AI agents operate in a companie's closed loop and adapt to specific business context. iGenius is also developing its own enterprise LLM model with an open enterprise license. Domyn models are designed for industries with strict compliance standards, such as financial services, public sector and heavy industry. They are trained in the FP8 format, optimize the use of computing resources, accelerate computation and reduce costs and energy consumption. Continuous training on company's own data allows the language model to incorporate domain-specific knowledge and adapt to the organization's requirements. The architecture of Domyn language models is designed to meet the highest security and compliance standards in regulated sectors.
iGenius develops enterprise AI platform that allows to create and manage AI applications and agents via centralized control system. iGenius AI agents operate in a companie's closed loop and adapt to specific business context. iGenius is also developing its own enterprise LLM model with an open enterprise license. Domyn models are designed for industries with strict compliance standards, such as financial services, public sector and heavy industry. They are trained in the FP8 format, optimize the use of computing resources, accelerate computation and reduce costs and energy consumption. Continuous training on company's own data allows the language model to incorporate domain-specific knowledge and adapt to the organization's requirements. The architecture of Domyn language models is designed to meet the highest security and compliance standards in regulated sectors.
12
Country: USA | Funding: $46.1M
Artisan is creating an AI agent Ava that handles outbound direct marketing (cold contact) campaigns. It researches and contacts potential clients from dozens of sources, including email and professional social media. Ava automatically plans multi-channel sequences and contacts leads at the perfect moment, using intent signals to maximize conversion rates. One of its primary engagement channels, LinkedIn, temporarily blocked Artisan and forced the startup to remove all mentions of its social network from its website (however, it still allows data collection and messaging). Artisan is also developing agents to manage salespeople's schedules and qualify leads.
Artisan is creating an AI agent Ava that handles outbound direct marketing (cold contact) campaigns. It researches and contacts potential clients from dozens of sources, including email and professional social media. Ava automatically plans multi-channel sequences and contacts leads at the perfect moment, using intent signals to maximize conversion rates. One of its primary engagement channels, LinkedIn, temporarily blocked Artisan and forced the startup to remove all mentions of its social network from its website (however, it still allows data collection and messaging). Artisan is also developing agents to manage salespeople's schedules and qualify leads.
13
Country: USA | Funding: $3M
Trace is a workflow automation platform that routes tasks to the right agent – human or AI.
Trace is a workflow automation platform that routes tasks to the right agent – human or AI.
14
Country: USA | Funding: $2M
Empromptu is developing a platform for creating enterprise-ready AI applications. Users can create applications in a vibe coding mode, communicating their desired outcome to a chatbot. But unlike traditional vibe coding (which is more suited for quick experiments), Empromptu delivers a result that is (as stated) 98% production-ready (tested, SOC 2 compliant, documented and can be integrated into existing IT infrastructure via built-in LLMOps tools). Under the hood, the service automatically creates a set of AI Agents that solve project problems, following best practices for creating enterprise applications. The company targets enterprises that need to create AI applications in regulated industries, such as the hospitality.
Empromptu is developing a platform for creating enterprise-ready AI applications. Users can create applications in a vibe coding mode, communicating their desired outcome to a chatbot. But unlike traditional vibe coding (which is more suited for quick experiments), Empromptu delivers a result that is (as stated) 98% production-ready (tested, SOC 2 compliant, documented and can be integrated into existing IT infrastructure via built-in LLMOps tools). Under the hood, the service automatically creates a set of AI Agents that solve project problems, following best practices for creating enterprise applications. The company targets enterprises that need to create AI applications in regulated industries, such as the hospitality.
15
Country: USA | Funding: $2.1B
Reflection AI, originally created as a coding agent platform, now positions itself as an open-source alternative to leading AI companies like OpenAI and Anthropic, and as a Western counterpart to Chinese AI companies like DeepSeek. It is building a large-scale LLM and reinforcement learning platform capable of training massive mixed-expert (MoE) models - the technology that has enabled DeepSeek to significantly reduce training and inference costs. Reflection AI will publish model weights -the fundamental parameters that determine an AI system's performance, for public use, while the datasets and all training processes will remain proprietary. The company aims to generate revenue from large enterprises building products based on Reflection AI models, and from governments developing "sovereign AI systems".
Reflection AI, originally created as a coding agent platform, now positions itself as an open-source alternative to leading AI companies like OpenAI and Anthropic, and as a Western counterpart to Chinese AI companies like DeepSeek. It is building a large-scale LLM and reinforcement learning platform capable of training massive mixed-expert (MoE) models - the technology that has enabled DeepSeek to significantly reduce training and inference costs. Reflection AI will publish model weights -the fundamental parameters that determine an AI system's performance, for public use, while the datasets and all training processes will remain proprietary. The company aims to generate revenue from large enterprises building products based on Reflection AI models, and from governments developing "sovereign AI systems".
16
Country: USA | Funding: $768.2M
Glean is developing the Work AI Platform, which consists of three modules: Glean Assistant, Glean Agents and Glean Search. Assistant is a personal assistant for employee that provides access to company knowledge, web data, and personal context, enabling faster, more informed decisions. Glean Agents is a system for creating, deploying, organizing and managing AI-powered agents. Agents can be created in conversation mode or using the visual mo-code builder. Its connectors automatically sync them with corporate data. Glean Search is an enterprise search that understands user's context and provides unified, secure access to corporate databases. Results are displayed in real time and respect permissions, so everyone sees only what they need.
Glean is developing the Work AI Platform, which consists of three modules: Glean Assistant, Glean Agents and Glean Search. Assistant is a personal assistant for employee that provides access to company knowledge, web data, and personal context, enabling faster, more informed decisions. Glean Agents is a system for creating, deploying, organizing and managing AI-powered agents. Agents can be created in conversation mode or using the visual mo-code builder. Its connectors automatically sync them with corporate data. Glean Search is an enterprise search that understands user's context and provides unified, secure access to corporate databases. Results are displayed in real time and respect permissions, so everyone sees only what they need.
17
Country: Germany | Funding: $562M
Parloa is developing AI agents that automate customer service work previously handled by human representatives and help desk staff. They can handle millions of customer conversations across use cases, languages and regions and stay consistent and compliant. Parloa's platform enables tools to manage agents in the long run: natural language briefings, integrated testing, real-time monitoring and continuous improvement based on what customers actually say and do. Parloa’s AI agents are already answering calls for large enterprise customers, which include Allianz, Booking.com, HealthEquity, SAP, Sedgwick, and Swiss Life
Parloa is developing AI agents that automate customer service work previously handled by human representatives and help desk staff. They can handle millions of customer conversations across use cases, languages and regions and stay consistent and compliant. Parloa's platform enables tools to manage agents in the long run: natural language briefings, integrated testing, real-time monitoring and continuous improvement based on what customers actually say and do. Parloa’s AI agents are already answering calls for large enterprise customers, which include Allianz, Booking.com, HealthEquity, SAP, Sedgwick, and Swiss Life
18
Country: USA | Funding: $415M
Adept creates AI-based RPA-like agents capable of automating any software process. These agents use a combination of rule-based algorithms, computer vision and machine learning to automate repetitive tasks, such as filling out forms and responding to emails. However, the company insists that their technology is far more sophisticated, accurate and reliable than what is currently offered by RPA providers such as Automation Anywhere and UiPath. Adept's AI model is trained by observing keyboard and mouse inputs from humans and can perform over a hundred tasks with human-like accuracy. Adept's system is based on a proprietary DSL and activation layer, enabling it to execute actions on websites and in software applications.
Adept creates AI-based RPA-like agents capable of automating any software process. These agents use a combination of rule-based algorithms, computer vision and machine learning to automate repetitive tasks, such as filling out forms and responding to emails. However, the company insists that their technology is far more sophisticated, accurate and reliable than what is currently offered by RPA providers such as Automation Anywhere and UiPath. Adept's AI model is trained by observing keyboard and mouse inputs from humans and can perform over a hundred tasks with human-like accuracy. Adept's system is based on a proprietary DSL and activation layer, enabling it to execute actions on websites and in software applications.
19
Country: USA | Funding: $402M
Hippocratic AI is developing a large-scale language model for healthcare and AI agents for patient interactions. These agents are not used for prescribing medications or making diagnoses, but rather for interacting with patients. The company focuses on its relentless to data security in order to earn trust of healthcare organizations and has partnerships with big hospitals, insurance and pharmaceutical companies.
Hippocratic AI is developing a large-scale language model for healthcare and AI agents for patient interactions. These agents are not used for prescribing medications or making diagnoses, but rather for interacting with patients. The company focuses on its relentless to data security in order to earn trust of healthcare organizations and has partnerships with big hospitals, insurance and pharmaceutical companies.
20
Country: USA | Funding: $349.5M
Temporal Technologies provides an open-source platform that simplifies the development of scalable and resilient applications.
Temporal Technologies provides an open-source platform that simplifies the development of scalable and resilient applications.
21
Country: Netherlands | Funding: $283M
Wonderful develops an enterprise AI agent management platform primarily used for customer support. The platform leverages a secure, multi-model, multi-cloud infrastructure and integrates with enterprise systems (embeds agents directly into core workflows). Wonderful claims strong demand for its platform in the telecom, financial, healthcare and manufacturing industries. The startup focuses on non-English-speaking markets and claims to tailor its platform to each market it serves, fine-tuning it for language, cultural norms and regulatory environments (even sending local teams to manage deployment). Wonderful currently operates in 30 countries across Europe, Latin America and the Asia-Pacific region.
Wonderful develops an enterprise AI agent management platform primarily used for customer support. The platform leverages a secure, multi-model, multi-cloud infrastructure and integrates with enterprise systems (embeds agents directly into core workflows). Wonderful claims strong demand for its platform in the telecom, financial, healthcare and manufacturing industries. The startup focuses on non-English-speaking markets and claims to tailor its platform to each market it serves, fine-tuning it for language, cultural norms and regulatory environments (even sending local teams to manage deployment). Wonderful currently operates in 30 countries across Europe, Latin America and the Asia-Pacific region.
22
Country: USA | Funding: $232M
Imbue is building Sculptor - a UI for Claude Code, that coordinates coding agents (and as advertised makes AI coding reliable). It allows to spin up multiple agents in parallel and orchestrate their cooperation: for example one agent can kick off a refactor while another agent is building out a feature, or check a hunch while you’re debugging, all without breaking your flow. Every agent runs in its own container, so they can all execute code safely, and then Sculptor brings an agent’s work from its container into your local repo, keeping your git state synced so you can collaborate directly from IDE. You can test agent’s work in your dev environment and commit changes you like. Sculptor saves every agent session with its plans, chats, tool calls and code changes, so context is never lost, and progress is always preserved.
Imbue is building Sculptor - a UI for Claude Code, that coordinates coding agents (and as advertised makes AI coding reliable). It allows to spin up multiple agents in parallel and orchestrate their cooperation: for example one agent can kick off a refactor while another agent is building out a feature, or check a hunch while you’re debugging, all without breaking your flow. Every agent runs in its own container, so they can all execute code safely, and then Sculptor brings an agent’s work from its container into your local repo, keeping your git state synced so you can collaborate directly from IDE. You can test agent’s work in your dev environment and commit changes you like. Sculptor saves every agent session with its plans, chats, tool calls and code changes, so context is never lost, and progress is always preserved.
23
Country: USA | Funding: $223.5M
Kore.ai develops an agent-based AI platform for enterprises. It implements agent-based RAG search across various systems, workflow automation, AI agent management and governance across the enterprise and the creation of differentiated service experiences. AI agents can connect to business systems (Salesforce, SAP, Epic, and hundreds of others) and analyze data and workflows. AI agents can also extract data from files, chats, wikis and collaboration tools such as SharePoint, Slack, Confluence and Google Drive, without the need for manual searches. Multi-agent orchestration allows AI agents to collaborate, share memory and handle decision-making tasks of varying complexity.
Kore.ai develops an agent-based AI platform for enterprises. It implements agent-based RAG search across various systems, workflow automation, AI agent management and governance across the enterprise and the creation of differentiated service experiences. AI agents can connect to business systems (Salesforce, SAP, Epic, and hundreds of others) and analyze data and workflows. AI agents can also extract data from files, chats, wikis and collaboration tools such as SharePoint, Slack, Confluence and Google Drive, without the need for manual searches. Multi-agent orchestration allows AI agents to collaborate, share memory and handle decision-making tasks of varying complexity.
24
Country: USA | Funding: $160M
LangChain is a platform providing open-source frameworks and tools for developing and deploying agents based on language models. LangChain began as a project developing open-source add-on tools for creating language models (web search, API calls and database interactions). As modern model developers expanded their infrastructure, LangChain evolved into a platform for creating enterprise agents. The company's core products include the LangChain agent builder, LangGraph - orchestration and context/memory management tool, and LangSmith - testing/observation tool. LangChain remains extremely popular among open-source developers.
LangChain is a platform providing open-source frameworks and tools for developing and deploying agents based on language models. LangChain began as a project developing open-source add-on tools for creating language models (web search, API calls and database interactions). As modern model developers expanded their infrastructure, LangChain evolved into a platform for creating enterprise agents. The company's core products include the LangChain agent builder, LangGraph - orchestration and context/memory management tool, and LangSmith - testing/observation tool. LangChain remains extremely popular among open-source developers.
25
Country: Singapore | Funding: $85M
Manus is a versatile AI agent enhancing productivity and research across various domains efficiently always. Acquired by Meta but is running independently
Manus is a versatile AI agent enhancing productivity and research across various domains efficiently always. Acquired by Meta but is running independently
26
Country: Australia | Funding: $42M
Relevance AI provides an AI agent operating system that helps companies automate repetitive reasoning tasks.
Relevance AI provides an AI agent operating system that helps companies automate repetitive reasoning tasks.
27
Country: USA | Funding: $40M
1Mind develops LLM-powered sales AI agent named Mindy which is used to augment self-service websites and substitute the sales engineer on calls for larger enterprise deals. It can also be the onboarding specialist, consulting new customers. Mindy can be trained to understand an extensive knowledge base that includes all of a company’s products, technical details and market positions. The startup uses a mix of third-party large-language models, including OpenAI and Google Gemini but reduces their hallucinations by using own rule-based AI model. This deterministic AI implements guardrails so once the agent absorbs corporate sales materials, it should repeat that info without deviation. Beyond that, Mindy is trained to say she doesn’t know an answer.
1Mind develops LLM-powered sales AI agent named Mindy which is used to augment self-service websites and substitute the sales engineer on calls for larger enterprise deals. It can also be the onboarding specialist, consulting new customers. Mindy can be trained to understand an extensive knowledge base that includes all of a company’s products, technical details and market positions. The startup uses a mix of third-party large-language models, including OpenAI and Google Gemini but reduces their hallucinations by using own rule-based AI model. This deterministic AI implements guardrails so once the agent absorbs corporate sales materials, it should repeat that info without deviation. Beyond that, Mindy is trained to say she doesn’t know an answer.
29
Country: Spain | Funding: $25M
Maisa representa una revolución en automatización con agentes de IA para todos los departamentos: Trabajadores Digitales que trabajan como tus mejores empleados, siendo parte de tu equipo y en los que puedes confiar.
Maisa representa una revolución en automatización con agentes de IA para todos los departamentos: Trabajadores Digitales que trabajan como tus mejores empleados, siendo parte de tu equipo y en los que puedes confiar.
30
Country: USA | Funding: $25M
Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick, and persistent search results
Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, quick, and persistent search results
31
Country: France | Funding: €20M
Dust is a modular technology platform that builds customized AI assistance to enhance and optimize workflows.
Dust is a modular technology platform that builds customized AI assistance to enhance and optimize workflows.
33
Country: USA | Funding: $8M
Continua AI develops AI-powered personal agents to help people focus on what matters most by enhancing how they interact with information.
Continua AI develops AI-powered personal agents to help people focus on what matters most by enhancing how they interact with information.
34
Country: USA | Funding: $7.2M
AI powered DevOps automation for enterprise teams, starting with Salesforce Clouds.
AI powered DevOps automation for enterprise teams, starting with Salesforce Clouds.
35
Country: UK | Funding: $3.5M
Agentic Marketing Technologies builds an Autonomous Marketing Team powered by AI agents.
Agentic Marketing Technologies builds an Autonomous Marketing Team powered by AI agents.
37
Country: Ukraine | Funding: $152.2K
Metatable.ai is an AI-powered development platform that aims to simplify and accelerate software development by using AI.
Metatable.ai is an AI-powered development platform that aims to simplify and accelerate software development by using AI.
38
Country: UK
Moterra provides an enterprise-grade suite of AI assistants for core business tasks that operate within your cloud. It helps teams with internal knowledge search, content writing, data analysis, and document comparison. By connecting directly to your company's documents and systems, Moterra delivers accurate, reliable and context-aware answers with citations. Eliminating data exposure risks and ensuring full compliance, it's the secure way to leverage AI for tangible business results.
Moterra provides an enterprise-grade suite of AI assistants for core business tasks that operate within your cloud. It helps teams with internal knowledge search, content writing, data analysis, and document comparison. By connecting directly to your company's documents and systems, Moterra delivers accurate, reliable and context-aware answers with citations. Eliminating data exposure risks and ensuring full compliance, it's the secure way to leverage AI for tangible business results.
39
Country: Australia
Building custom AI agents for enterprise clients. Automating success, one business at a time.
Building custom AI agents for enterprise clients. Automating success, one business at a time.
40
Country: USA
This company is called AGI and claims to be "building useful AGI for everyday life." But in reality, it's creating an agent called AGI-0, which performs tasks on your computer and smartphone (for example, it can make restaurant reservations, book hotels, schedule meetings, etc.). Of course, it's not AGI, but rather an add-on to existing LLMs. However, it can run on any platform - use apps on Windows, Linux, Mac, Android, fulfill tasks in web browser. The company also offers a paid API for creating custom agents, which, in particular simplifies enables secure payment processing for e-commerce. The company does conduct some research in areas such as reinforcement learning, multi-agent systems and natural language understanding, but with the sole practical goal of improving the agent.
This company is called AGI and claims to be "building useful AGI for everyday life." But in reality, it's creating an agent called AGI-0, which performs tasks on your computer and smartphone (for example, it can make restaurant reservations, book hotels, schedule meetings, etc.). Of course, it's not AGI, but rather an add-on to existing LLMs. However, it can run on any platform - use apps on Windows, Linux, Mac, Android, fulfill tasks in web browser. The company also offers a paid API for creating custom agents, which, in particular simplifies enables secure payment processing for e-commerce. The company does conduct some research in areas such as reinforcement learning, multi-agent systems and natural language understanding, but with the sole practical goal of improving the agent.
