NEWSLETTER

By clicking submit, you agree to share your email address with TFN to receive marketing, updates, and other emails from the site owner. Use the unsubscribe link in the emails to opt out at any time.

10 US startups building the $7.8B category enterprises actually pay for

US AI agents
Image credits: TFN

AI agents are the fastest-scaling software category as of 2026. The global market has grown from $5.25 billion in 2024 to an estimated $7.84 billion in 2025, with projections reaching $52.62 billion by 2030.

Leading investors including Andreessen Horowitz, General Catalyst, Sequoia Capital, and NVIDIA’s venture arm are backing specialised AI agent companies targeting healthcare, enterprise operations, security, coding, and financial services.

Below, we profile 10 US-based companies building AI agents that tackle specific, high-value problems across healthcare, financial services, security, software development, and enterprise operations. 

Hippocratic AI (Palo Alto)

Hippocratic AI team
Image credits: Hippocratic AI

Founder/s: Munjal Shah and Dr. Meenesh Bhimani
Founded year: 2022
Total funding: $402M

Founded in 2023 by Munjal Shah (serial entrepreneur and former CEO of Health IQ), Dr. Meenesh Bhimani (physician and health system executive from El Camino Health and Johns Hopkins), and product leader Vishal Parikh, Hippocratic AI emerged from a deceptively simple observation: the U.S. healthcare system faces a critical staffing shortage that AI can materially alleviate.

The company’s core technology, Polaris, comprises a multi-agent LLM constellation that handles inbound patient calls, schedules appointments, processes intake forms, manages follow-ups, addresses billing inquiries, and escalates appropriately to human clinicians.

In November 2025, the company closed a $126 million Series C led by Avenir Growth at a $3.5 billion valuation, marking unicorn status and attracting participation from SV Angel and Google’s CapitalG.

EliseAI (New York)

EliseAI founder
Image credits: EliseAI

Founder/s name: Minna Song and Tony Stoyanov

Founder/s name: Minna Song and Tony Stoyanov
Founded year: 2017
Total funding: $392M

Founded in 2017 by Minna Song and Tony Stoyanov, EliseAI emerged from a structural economic opportunity: US healthcare faces over $600 billion in annual administrative costs, while residential property management suffers from 40%+ annual workforce turnover and escalating operational complexity

In residential property management, EliseAI automates the entire resident lifecycle: leasing conversations (qualifying prospects, explaining lease terms, collecting signatures), maintenance request coordination, rent collection and payment follow-ups, renewal management, and resident satisfaction surveys. 

In August 2025, the company announced a $250 million Series E round led by Andreessen Horowitz (a16z), with participation from Bessemer Venture Partners, Sapphire Ventures, and Navitas Capital, valuing the company at $2.2 billion. 

Vanta (San Francisco)

Vanta team
Image credits: Vanta

Founder/s: Christina Cacioppo and Erik Goldman
Founded year: 2018
Total funding: $500M

 Founded in 2018 by Christina Cacioppo (former venture capitalist at Union Square Ventures and security engineer at Stripe) and Erik Goldman, Vanta emerged to address a fundamental operational inefficiency: compliance and security audits remain largely manual, paper-based processes consuming thousands of hours annually across finance, legal, IT, and operations teams.

Vanta’s core platform uses AI agents to automate evidence collection, continuous control monitoring, and audit readiness across 30+ compliance frameworks. The platform’s AI agents conduct control assessments, flag anomalies, and suggest remediation, enabling organisations to maintain a continuous compliance posture rather than in quarterly or annual audit cycles.

In December 2024, the company announced a $150 million Series D led by Wellington Management with participation from Goldman Sachs, Sequoia Capital, and existing investors, valuing Vanta at $4.15 billion.

Replit (San Francisco)

Replit team
Image credits: Replit

Founder/s: Amjad Masad, Faris Masad, and Haya Odeh
Founded year: 2016
Total funding: $477M

 Founded in 2016 by brothers Amjad Masad and Faris Masad (both Jordanian-born programmers) and designer Haya Odeh (Amjad’s spouse), Replit evolved from Amjad’s earlier open-source JSRepl project into a cloud-based collaborative integrated development environment (IDE) that democratised remote coding by providing instant, browser-based development environments accessible without local setup.

Replit’s Agent understands development intent expressed in natural language and generates multi-file applications spanning frontend (React, Vue), backend (Node, Python, Java), database schemas, deployment configurations, and testing suites. The agent asks clarifying questions, proposes architectural patterns, generates code iteratively, and enables users to refine applications through conversational interaction rather than manual coding.

Earlier in January, Replit raised a $400 million round that pushed its valuation to $9 billion, a sharp leap from the $3 billion price tag it carried just months ago. In September last year, the company raised $250 million from Prysm Capital, Google’s AI Futures Fund, Amex Ventures, and a16z, among others.

Writer (San Francisco)

Writer Founders
Picture credits: Writer

Founder/s: May Habib (CEO), Waseem AlShikh (CTO)
Founded year: 2020
Total funding: $326M 

Founded in 2020 by May Habib and Waseem AlShikh, Writer emerged from recognising that enterprise adoption of generative AI had stalled not due to lack of capability, but due to three critical gaps: inability to use proprietary company data safely, inability to build trustworthy AI agents without exposing data to third-party models, and inability to maintain transparent, auditable AI systems compliant with enterprise governance requirements.

Writer’s architecture is “full-stack.” The company builds its own large language models (rather than relying on OpenAI or Anthropic), integrates them with retrieval-augmented generation (RAG) engines that connect to enterprise data systems, provides AI Studio (a no-code/low-code platform for building agentic workflows), and operates proprietary infrastructure enabling on-premise deployment and data residency compliance. 

 In 2024, the company announced a $200 million Series C led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from Adobe Ventures, B Capital, Citi Ventures, IBM Ventures, Salesforce Ventures, and Workday Ventures, valuing the company at $1.9 billion. 

Virtue AI (San Francisco)

Virtue AI Founder & CEO
Image credits: Virtue AI

Founder/s: Bo Li, Dawn Song, Sanmi Koyejo, Carlos Guestrin
Founded year: 2024
Total funding: $30M

Founded in 2024 by Bo Li, alongside UC Berkeley and University of Washington faculty experts Dawn Song, Sanmi Koyejo, and Carlos Guestrin, Virtue AI emerged from recognising that enterprise deployment of AI agents faces fundamental security and safety challenges.

Virtue AI’s platform provides comprehensive lifecycle safety for AI agents. The solution includes security testing and penetration testing to identify vulnerabilities to adversarial attacks, fairness auditing to detect discriminatory outputs, accuracy measurement across diverse scenarios, and interpretability tools that enable stakeholders to understand why AI agents make specific decisions.

The platform integrates into deployment workflows and continuously monitors agent outputs for security threats, hallucinations, and deviations from intended behaviour. Customers can configure guardrails: rules and constraints that prevent AI agents from taking unsafe or non-compliant actions.

In 2025, Virtue AI raised $30 million in Seed and Series A funding, led by Lightspeed Venture Partners and Walden Catalyst Ventures, with participation from Prosperity7 and other investors, including Factory, Osage University Partners, and others.

Tennr (New York)

Tennr team
Image credits: Tennr

Founder/s: Trey Holterman, Diego Baugh, Tyler Johnson
Founded year: 2021
Total funding: $156M

Founded in 2021 by Trey Holterman, Diego Baugh, and Tyler Johnson, Tennr emerged from identifying a massive economic inefficiency: healthcare providers spend hundreds of thousands of hours annually preparing documentation, submitting authorisation requests to insurers, managing denials, and appealing rejections.

Tennr’s core AI agent, RaeLM (a specialised vision-language model designed specifically for medical documentation), analyses unstructured patient records and translates them into payer-compliant documentation that meets specific insurance company requirements for authorisation approval.

The agent comprehends complex clinical scenarios (multi-comorbidity patients, experimental treatments, coverage edge cases) and automatically generates or restructures documentation to maximize likelihood of first-pass approval, dramatically reducing appeal cycles and claim denials.

In July 2025, the company announced a $101 million Series C led by IVP at a $605 million valuation, with participation from Andreessen Horowitz, GV, Foundation Capital, Lightspeed, ICONIQ, and Frank Slootman (founder of ServiceNow and board chairman at Okta). 

Abacus.AI (San Francisco)

Bindu Reddy, CEO & co-founder of Abacus AI
Image credits: Abacus AI

Founder/s: Bindu Reddy, Arvind Sundararajan, and Siddartha Naidu
Founded year: 2019
Total funding: $90M

Founded in 2019 by Bindu Reddy, Arvind Sundararajan, and Siddartha Naidu, Abacus.AI emerged from the recognition that, while general-purpose chatbots proliferated, professionals and enterprises needed purpose-built AI assistants tailored to specific workflows, data contexts, and security requirements.

The company’s flagship product, ChatLLM, is positioned as an AI assistant for individual professionals and small teams. ChatLLM combines document and data analysis, code generation, web search, image creation, and research synthesis, enabling professionals to augment productivity across knowledge work.

The platform operates within privacy-preserving guardrails and integrates with professional tools (such as email, collaboration platforms, and project management systems).

In 2024, the company announced a $50 million Series C led by Tiger Global, with participation from Coatue, Index Ventures, and Alkeon Capital, enabling the company to accelerate growth and expand headcount.

Imbue (San Francisco)

Imbue team
Image credits: Imbue

Founder/s: Kanjun Qiu, Josh Albrecht
Founded year: 2022
Total funding: $232M

 Founded in 2022 by Kanjun Qiu and Josh Albrecht, Imbue represents a renewed focus on an earlier vision Qiu pursued (through her 2018 startup Sorceress, an AI recruiting platform) and has evolved toward building foundational AI models optimised specifically for reasoning, long-horizon planning, and code generation.

Imbue’s technological focus centers on training next-generation foundation models that surpass current LLMs in reasoning capability. Unlike general-purpose LLMs trained on broad internet text, Imbue’s models are trained on specific reasoning tasks, code repositories, and scientific literature to specialize in logical thinking and software engineering.

In 2023, Imbue raised $200 million in Series B funding at a valuation exceeding $1 billion from Astera Institute, NVIDIA, Cruise CEO Kyle Vogt, and Notion co-founder Simon Last. 

Arize AI (Berkeley)

Arize AI team
Image credits: Arize AI

Founder/s: Jason Lopatecki (Co-founder), Aparna Dhinakara (Co-founder)
Founded year: 2020
Total funding: $61M

 Founded in 2020 by Jason Lopatecki and Aparna Dhinakar, Arize AI emerged from recognizing a critical gap in ML/AI operations. While software engineers have sophisticated observability platforms (DataDog, New Relic, Splunk) for monitoring application performance, AI teams lacked equivalent tools for monitoring model behaviour, detecting data drift, identifying feature importance changes, and diagnosing why AI systems produce unexpected outputs.

Arize AI’s platform ingests predictions from deployed AI models, correlates predictions with ground-truth outcomes, identifies statistical drift, detects model degradation, and enables teams to drill into specific examples where models perform poorly.

For LLM applications specifically, Arize provides observability into prompt inputs, model outputs, latency metrics, token usage, and user feedback, enabling teams to understand why conversational AI agents produce hallucinations, generate inappropriate responses, or fail in specific scenarios.

In 2025, the company announced a $70 million Series C led by Adams Street Partners, enabling further product development and market expansion. 

Total
0
Shares
Related Posts
Total
0
Share

Get daily funding news briefings in the tech world delivered right to your inbox.

Enter Your Email
join our newsletter. thank you
TFN Banner