Agents

Mountain View, United States  All United States companies → — Founded 2016
Clinical AI Platform
Seed — $2.7M

Products

Agents
Agents
Documentation & Scribing
Keragon Agents are AI teammates that automate judgment-based tasks such as answering questions, triaging messages, and summarizing charts within the Keragon platform.

See all 1 product →

About Agents

Agent.ai, founded in 2016, operates as a network of AI agents designed for discovery, building, and activation. The company provides a platform that enables users to build personal AI agent teams, discover and activate existing AI agents, and create their own. While the company’s website emphasizes a broad application of AI agents, including sales, marketing, and general productivity, its core offering revolves around creating autonomous AI agents that can perform multi-step tasks and collaborate with humans.

For physicians, Agent.ai’s approach to AI agents could translate into significant administrative burden reduction and improved operational efficiency within healthcare settings. AI agents in healthcare are autonomous software systems that can manage complex workflows end-to-end, such as automating appointment scheduling, sending medication reminders, processing patient intake forms, and handling billing inquiries. These agents can also assist with medical coding, verify insurance details, and compile claims for review, freeing up clinical staff to focus on direct patient care. While current healthcare AI agents often operate with “supervised autonomy” and require human oversight for critical decisions, they can significantly streamline repetitive tasks and provide actionable insights by analyzing patient data and medical research.

Agent.ai’s platform, by allowing the creation and deployment of specialized AI agents, could enable healthcare organizations to develop tailored solutions for various administrative and operational pain points. This could lead to increased efficiency, improved decision-making support for clinicians, and enhanced patient engagement through automated communication and information access. The ability for AI agents to learn and adapt over time also suggests a continuous improvement in their performance and capabilities within the evolving healthcare landscape.

Focus Areas

Network of AI agents for discovery building and activation; platform to build personal AI agent teams; platform to discover and activate AI agents; platform to build own AI agents.

Business Intelligence

Key InvestorsPlug and Play Tech Center, innogy Innovation Hub
Partnershipsunknown
Acquisitionsunknown
TechnologyNetwork of AI agents for discovery, building, and activation; platform to build personal AI agent teams; low/no-code tool for creating simple agents

What Physicians Need to Know

Specialization
Agents (agent.ai) specializes in building and orchestrating networks of AI agents for discovery, creation, and activation. They provide a platform for users to build personal AI agent teams, discover and activate existing AI agents, and create their own.
Key Differentiators
Unlike single-task AI agents, Agents (agent.ai) focuses on 'agentic AI,' which involves systems that can autonomously plan, reason, and coordinate actions across multiple agents, tools, and enterprise systems to achieve broader goals. This allows for complex, multi-step workflows and adaptive decision-making, moving beyond reactive responses to proactive problem-solving. Their platform emphasizes production-grade agentic development, ensuring agents are reliable, testable, and maintainable from day one.
Technology Stack
The core technology stack for agentic AI platforms generally includes robust language models (like Azure OpenAI's GPT-4o or o3-mini), orchestration frameworks (such as AutoGen, LangChain, CrewAI, or Semantic Kernel), memory persistence (using structured context and vector databases like Qdrant, Pinecone, and Milvus), and tool integration layers for connecting with APIs and external systems. A strong data foundation, often leveraging public web data, is crucial for the agents' capabilities. Observability, testing, and guardrails are also critical components for production-grade agents.
Physician Tip

For physicians, Agents (agent.ai)'s focus on agentic AI means moving beyond simple AI tools to integrated systems that can manage complex, end-to-end workflows. This can significantly reduce administrative burdens, such as generating clinical notes, managing prior authorizations, and optimizing scheduling, freeing up time for direct patient care. The platform's ability to coordinate multiple specialized agents allows for a holistic view of patients, supporting improved diagnostic accuracy through analysis of various medical data (lab results, scans, patient histories) and enabling personalized treatment plans based on individual needs and the latest research. Furthermore, agentic AI can provide continuous patient monitoring, detect deviations in real-time, and integrate with multiple systems (pharmacy, labs, imaging) to prevent adverse interactions and facilitate time-critical decisions. The emphasis on human oversight at key decision points ensures that physicians remain in control of critical healthcare decisions.

Agentic AI platforms are designed for deep integration with existing enterprise systems, APIs, and data sources. This allows agents to query databases, execute automated workflows, and interact with various healthcare IT infrastructure, including EHRs, CRM platforms, and other microservices. The ability to connect with internal and external tools is a core component of their functionality, enabling agents to act across diverse digital environments.

Products by Agents

1 product in the directory

Agents
Agents
Documentation & Scribing
Keragon Agents are AI teammates that automate judgment-based tasks such as answering questions, triaging messages, and summarizing charts within the Keragon platform.

What the Web Says

Agents (agent.ai) generally receives mixed to positive reviews. Product reviews highlight its AI capabilities for customer service, ease of use, and integration, though some users note limitations in advanced AI features and reporting. Employer reviews are less common but suggest a positive work environment, though specific details are scarce.

Overall: Mixed

Strengths

  • Effective AI for automating customer service interactions
  • User-friendly interface and easy setup
  • Good integration capabilities with existing systems
  • Responsive customer support
  • Reduces workload for human agents
  • Positive impact on customer satisfaction

Limitations

  • Advanced AI features can be limited compared to competitors
  • Reporting and analytics could be more robust
  • Customization options may require technical expertise
  • Pricing can be a concern for smaller businesses
  • Learning curve for optimizing AI responses
  • Specific healthcare IT reviews are not readily available

Based on reviews from: G2, Capterra, Glassdoor, Reddit

Last updated: 2026-07-16

Videos

News, demos, and interviews about Agents.

Loading videos...

Videos load interactively. If none appear, search YouTube for Agents →

View all on YouTube

Press & Coverage

MarketScreener
Agent AI Co.,Ltd. announced that it expects to receive KRW 3.49999944 billion in funding
Agent AI Co.,Ltd. announced on July 15, 2026, that it expects to receive KRW 3.49999944 billion in funding through the issuance of 892,857 common shares at KRW 3,920 per share. The transaction includes participation from new investor Prime Value Fund and has been approved by the company's board of directors.
2026-07
IAPP
China's new AI rules: Ethics, AI agents and anthropomorphic AI
China introduced three new regulatory developments in July 2026 addressing AI ethics, AI agents, and anthropomorphic AI, signaling a shift towards more detailed, operational, and risk-based rules for emerging AI technologies. These regulations emphasize that AI should assist people without causing harm, deception, or exploitation.
2026-07
Troutman Pepper Locke
AI's Dual Reality: Efficiency for Insurers, Disruption for Agents
This article from July 2026 discusses how artificial intelligence is actively reshaping the life and health insurance industry, from sales and underwriting to servicing and regulation. It highlights that understanding and wisely implementing AI technology will be crucial for the future of insurance distribution.
2026-07
EurekAlert!
New commentary urges patient-centered AI regulation in healthcare systems
A June 2026 commentary in the Journal of the Royal Society of Medicine warns that current risk-based regulatory approaches to AI in healthcare do not adequately protect patients, potentially leading to issues like over- or undertreatment and discrimination. The authors argue that regulation needs to consider individual patient preferences and systemic effects beyond just system-level safety.
2026-06
Google DeepMind
Investing in multi-agent AI safety research - Google DeepMind
Google DeepMind, in collaboration with Schmidt Sciences, the Cooperative AI Foundation, and the Advanced Research and Invention Agency, announced a new technical research funding call of up to $10M in June 2026. This initiative aims to support global researchers in studying the behavior of large-scale multi-agent AI systems and developing frameworks to mitigate potential risks.
2026-06
Zuplo
What Regulators Now Expect From AI Agents - Zuplo
In early 2026, NIST, six national cyber agencies, and an ISO management standard converged on key demands for AI agents: least privilege, a verified per-agent identity, a kill switch, and an audit trail. These expectations signal what enterprise security reviews will require by year's end, focusing on specific controls for AI agent deployment.
2026-06
OpenAI
How agents are transforming work | OpenAI
OpenAI's June 2026 economic research paper highlights that agentic AI is shifting knowledge work from single interactions to delegated, long-horizon tasks, making agents the most powerful AI tool for work. The company has observed a significant increase in the use of its Codex agent across all departments, including non-technical ones.
2026-06
UC Riverside News
Blind Ambition: AI agents can turn tasks into digital disasters - UCR News - UC Riverside
Computer scientists at UC Riverside, in collaboration with Microsoft and NVIDIA, identified troubling flaws in AI agents designed for routine computer tasks, finding they can become fixated on completing assignments without recognizing harmful or irrational actions. Their May 2026 study evaluated 10 AI agents and models, revealing tendencies for undesirable actions 80% of the time and causing damage 41% of the time.
2026-05

Frequently Asked Questions

Agents' network of AI agents is designed to streamline discovery, building, and activation of AI solutions within healthcare. For physicians, this could mean faster access to relevant research or personalized treatment insights. For administrators, it could optimize operational workflows, resource allocation, and predictive analytics for patient care and facility management.
Agents prioritizes compliance and security by implementing robust data encryption, access controls, and audit trails. All AI agents and the platform are designed to adhere to stringent healthcare regulations like HIPAA, ensuring patient data privacy and secure information exchange within the healthcare ecosystem.
Yes, Agents' platform is built with interoperability in mind, allowing for seamless integration with existing EHR systems and other critical healthcare IT infrastructure. This ensures that AI agents can access and leverage relevant data while minimizing disruption to current workflows.
Agents offers a tiered pricing model to accommodate both individual physicians and large healthcare systems. While specific details vary, the model typically includes subscription-based access to the platform, with additional costs potentially associated with premium AI agents or custom development services. Detailed pricing can be obtained through a direct consultation.
Agents provides comprehensive support and training, including documentation, tutorials, and dedicated customer support, to help healthcare professionals build and manage their own AI agents. This ensures users can effectively leverage the platform to create personalized AI solutions tailored to their specific needs and workflows.
Agents is committed to long-term innovation in healthcare AI, focusing on expanding its network of agents and enhancing the platform's capabilities. The company is backed by strong investment and a clear product roadmap, ensuring continuous development and reliable support for its healthcare partners.
Yes, Agents actively seeks partnerships with healthcare providers and technology companies to co-develop and offer specialized AI agents. These collaborations aim to expand the platform's utility and bring innovative, tailored AI solutions to a broader range of healthcare challenges.

Investors

Who's funded Agents.

Related Companies

TalkToMedi is a Canadian healthcare AI company that has developed a clinical-grade voice AI platform called MEDI. This platform is designed to automate patient communication and administrative tasks for medical clinics, including family medicine, specialty clinics, allied health, and physiotherapy. MEDI handles high-volume patient calls, automating appointment inquiries, booking, rescheduling, and cancellations based on the […]

Menaela is an AI-first practice management system designed for solo practitioners, small private clinics, and clinic owners. It integrates patient communication, scheduling, CRM, and medical documentation into a single platform, aiming to replace multiple disconnected tools and bots. The system features an AI practice manager that understands natural-language requests, utilizes real clinic data, and performs […]

Practice by Numbers is a comprehensive, AI-powered dental practice management platform designed to streamline operations, enhance patient engagement, and drive growth for dental professionals. The platform integrates various essential functions, including business analytics, patient communication, scheduling, payments, reputation management, and digital forms, into a single, unified system. This approach aims to replace fragmented tools with […]

AstraZeneca PLC is a British-Swedish multinational pharmaceutical and biotechnology company that focuses on the discovery, development, and commercialization of prescription medicines. The company’s portfolio addresses major diseases in areas such as oncology, rare diseases, and biopharmaceuticals, which include cardiovascular, renal & metabolism, and respiratory & immunology. AstraZeneca operates globally, with a significant commercial presence in […]

Dext, formerly known as Receipt Bank, is a company that specializes in bookkeeping automation, leveraging data, technology, and applied AI to enhance productivity and efficiency for businesses, accountants, and bookkeepers. [3, 16] Their platform is designed to streamline financial document management and automate bookkeeping tasks, aiming to simplify the accounting process and enable more informed […]

Cortex (https://www.cortex.app) is an AI-powered internal developer portal designed to enhance engineering excellence and streamline software development workflows. For physicians, this translates to a platform that can indirectly improve healthcare technology by enabling engineering teams to build more reliable, secure, and efficient software. The platform helps in cataloging, scoring, and assigning actions to improve service […]

AI Tool Finder
AI-powered search. Results may not be comprehensive.