What is Novoflow's core value proposition for clinics?

Novoflow provides 'AI employees' that automate administrative tasks like appointment booking, refill processing, and cancellation recovery. The primary selling point is speed; they claim to integrate with existing EHR systems in 3 hours, whereas competitors take 3 weeks. This allows clinics to reduce operational overhead without replacing their existing databases immediately.

How does Novoflow plan to scale its revenue?

The company uses a hybrid pricing model consisting of a platform maintenance cost plus success-based pricing. They project growing from 10 clinics under management to 2,500 within two years, aiming for a jump from $500k to $35M in recurring revenue by capturing 1.8% of the market.

What is the long-term vision for the 'Agentic Clinic'?

In Phase 3 (2-4 years), Novoflow intends to acquire a physical medical clinic. They plan to strip all human-led operations and build a 'physician-only' practice where every administrative and operational task is handled by AI agents, serving as a case study for high-efficiency healthcare.

Who are the founders and what is their background?

The team consists of Mathieu Rihet, an ex-Emory and Georgia Tech scholar with a background in medical interpretation and coronary artery disease research, and Georges Casassovici, a CMU engineer and the youngest YC founder who holds patents for AI-enhanced LiDAR at Leica.

What specific tasks do the AI agents handle?

Currently, the agents focus on high-urgency verticals including appointment scheduling, patient scrubbing, assistant nursing, result management, and follow-up reporting. The goal is to build a 'Library of Agents' that can be deployed in under 24 hours to handle any repetitive clinic task.

Novoflow Pitch Deck: All 9 Slides + Teardown

See all 9 slides of the Novoflow pitch deck — a 2025 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Novoflow’s pitch deck is a masterclass in aggressive positioning, explicitly stating a goal to "replace the EHR" by 2035. The company targets the $260B inefficiency in claim requests by deploying "AI employees" that automate scheduling, billing, and RX fulfillment. The deck highlights a significant technical advantage: reducing EHR integration time from three weeks to three hours. With five paying medical practices and $280k in projected ARR upon full deployment, the founders demonstrate early traction and a clear three-phase roadmap. The narrative moves from specific task automation to a lon…

Key takeaways

Novoflow claims to reduce Electronic Health Record (EHR) integration time from 3 weeks to 3 hours (Slide 2).
The company identifies a $260B annual inefficiency in the operational cost of submitting healthcare claims (Slide 2).
The 'North Star' vision is to replace the EHR with Novoflow by 2035, acting as the middleware for all repetitive tasks (Slide 4).
Early traction includes 5 paying medical practices and 8 clinics on a waitlist (Slide 6).
Novoflow projects $280k ARR upon full deployment of current clients, with a goal of reaching $35M in recurring revenue by Year 2 (Slides 6 and 7).
The product roadmap includes a 'Phase 3' plan to acquire a clinic and build a physician-only practice fully maintained by AI (Slide 8).
The founders leverage high-pedigree backgrounds, including CMU engineering, Y Combinator experience, and patents for AI-enhanced LiDAR (Slide 3).
The fundraising ask was $3M to hire a team of 8-9 people, including engineers and account executives with a 30k doctor contact rolodex (Slide 9).

The 9-Slide Strategy: Replacing the Healthcare Backbone

Novoflow’s pitch deck, used to raise a $3.1M Seed round in 2025, is a lean, 9-slide document that prioritizes speed of execution and a radical long-term vision. While many healthcare startups attempt to work within the existing Electronic Health Record (EHR) framework, Novoflow explicitly states its intent to replace the EHR operations stack entirely. The deck is structured around a three-phase growth plan, moving from simple task automation to the creation of fully autonomous medical clinics.

Slide 1: Title and Positioning

The cover slide introduces the company name and the tagline: "Healthcare Run by Agents." It lists the founders, Mathieu Rihet and Georges Casassovici, and provides the URL. The branding is clean, using a gradient logo that suggests fluidity and movement, consistent with the "flow" in the company name. The focus is immediately placed on "Agents," signaling that this is an AI-native approach to healthcare operations rather than a legacy software upgrade.

Slide 2: The Efficiency Gap

Slide 2 serves as both the problem and the competitive advantage slide. It leads with a bold comparison: "IT TAKES COMPETITORS 3 WEEKS TO INTEGRATE IN AN ELECTRONIC HEALTH RECORD SYSTEM. NOVOFLOW TAKES 3 HOURS." This 168x speed improvement is the core hook of the deck. The slide identifies the "#1 Problem in America" as siloed datasets, noting that the operational cost of submitting claims results in $260B in annual inefficiency. It also highlights market demand, stating that 4-7 clinics reach out every week with urgency to automate coordination. The slide concludes with a dismissive note on legacy software: "An upgrade in current software is not going to happen. Too much history, small actors, individual IP."

Slide 3: The Team

The team slide emphasizes technical pedigree and industry-specific experience. Mathieu Rihet is highlighted as an ex-Emory and Georgia Tech scholar with experience in medical interpretation and research. Georges Casassovici is positioned as a high-potential technical lead, noted as a CMU engineer, the "youngest YC founder," and a patent holder for AI-enhanced LiDAR at Leica. The inclusion of logos from Princeton, CMU, Georgia Tech, and Leica serves as social proof for their ability to build complex AI systems.

Slide 4: The North Star Vision

Slide 4 outlines the company's long-term goal for 2035: "Keep the database, replace the EHR with Novoflow." It visualizes a "Modern Agentic Ops Stack" where an Appointment Scheduler, Patient Scrubbing agent, Assistant Nurse, Result Management agent, and Follow Up Report agent work in synchrony around a human physician. The slide uses a "Plaid for Healthcare" analogy, suggesting Novoflow will become the middleware that connects siloed data to make the system functional.

Slide 5: Phase 1 Product and Validation

This slide details the current state of the product (0-6 months). It defines the core product as "AI employees" that automate tasks in high-urgency verticals. A key technical claim is a framework that allows the team to build highly customizable AI employees in under 24 hours. The slide includes screenshots of testimonials from medical professionals, including an MD and an Office Manager, to validate the demand. It reiterates the inbound interest of 4-7 clinics per week.

Slide 6: Early Metrics and Traction

Slide 6 provides hard numbers to back up the claims. It lists 5 paying medical practices, including CA Dermatology Institute and East River Medical Imaging. The financial projection is "$280k ARR upon full deployment," with a "pARR" (potential ARR) of $1M when including the 8 clinics currently on the waitlist. The slide also shares specific deployment results for Clinica Family Health: 947 patient calls handled per month (22+ hours of work), with 6.9% being high-impact interactions. It also notes the elimination of inbound spam calls, solving a core clinic pain point.

Slide 7: Phase 2 Scalability

Looking at the 6-24 month horizon, Slide 7 discusses "Highly Scalable Agent Infrastructure." The goal is to move from building 15 custom AI employees a week to hundreds. Two growth levers are identified: Pharma Contracts (connecting to 1000+ locations each for drug trials) and "AI FDEs (Field Deployment Engineers) for Integrations," which are agents designed to tune other agents. The growth trajectory targets a jump from 10 clinics to 2,500 and a revenue increase from $500k to $35M, representing a market capture of 1.8%.

Slide 8: Phase 3 The Ecosystem

The final vision slide (2-4 years) describes an "Agent-First Ops Ecosystem." It introduces the concept of the "Agentic Clinic," where Novoflow intends to acquire a clinic and strip all human operations to showcase a physician-only practice maintained by AI. The slide emphasizes a "Library of Agents" that covers every operational task, aiming for 100% connectivity where Novoflow replaces human "ORBs" (operational bottlenecks).

Slide 9: The Fundraising Ask

The deck concludes with a fundraising slide. It states a target of "Raising $3M" (though publisher reports indicate they closed $3.1M). The funds are earmarked for a specific hiring plan: 3 remote engineers, 2-3 founding engineers, 2 account executives (specifically those with a 30k doctor contact rolodex), and 1 customer success manager. A simple diagram shows Novoflow sitting between EHR/EMRs and Providers, acting as the bidirectional bridge.

What Works in the Novoflow Deck

The Speed Hook: Leading with the 3-week vs. 3-hour integration comparison is a powerful way to differentiate from legacy incumbents. In healthcare IT, integration is the primary friction point; by claiming to solve it, Novoflow addresses the investor's biggest technical concern immediately.

Specific Traction Metrics: Slide 6 doesn't just say they have users; it breaks down the number of calls, the minutes saved, and the percentage of high-impact interactions. This level of granularity makes the "AI employee" concept feel tangible rather than theoretical.

Phased Roadmap: The deck does an excellent job of balancing the immediate (Phase 1: automating tasks) with the visionary (Phase 3: the Agentic Clinic). This allows investors to see a path to a massive exit without ignoring the necessity of early-stage revenue.

What is Missing from the Novoflow Deck

Unit Economics: While the deck mentions "Success-Based Pricing," it does not provide details on the cost to acquire a clinic (CAC) or the lifetime value (LTV). For a Seed round, investors usually want to see the math behind the $35M revenue projection.

Regulatory and Compliance: In healthcare, HIPAA compliance and data security are paramount. The deck does not explicitly mention how the agents handle sensitive patient data or how they navigate the regulatory hurdles of replacing EHR functions.

Competitive Landscape: The deck assumes that all competitors are slow legacy systems. It ignores the surge of other AI-agent startups entering the healthcare space. A slide addressing why Novoflow’s "Agentic Infrastructure" is superior to other LLM-based wrappers would have strengthened the moat argument.

Founder's Playbook: What to Copy

The 'North Star' Slide: Founders should copy the way Novoflow uses Slide 4 to define a new category. They don't just say they are an add-on; they say they are the new middleware. Defining your company as the "Plaid of [Industry]" is a proven way to communicate complex infrastructure plays.

Hiring Specificity: On the fundraising slide, Novoflow doesn't just ask for money for "growth." They specify the exact roles and, more importantly, the specific assets those roles should bring (e.g., an account executive with a 30k doctor rolodex). This shows a high level of operational maturity.

Validation through Testimonials: Using raw, unedited-looking feedback from doctors (Slide 5) is often more effective than polished marketing copy. It proves that the problem is painful enough that users are "stinkin' excited" to find a solution.

Frequently asked questions

What is Novoflow's core value proposition for clinics?: Novoflow provides 'AI employees' that automate administrative tasks like appointment booking, refill processing, and cancellation recovery. The primary selling point is speed; they claim to integrate with existing EHR systems in 3 hours, whereas competitors take 3 weeks. This allows clinics to reduce operational overhead without replacing their existing databases immediately.
How does Novoflow plan to scale its revenue?: The company uses a hybrid pricing model consisting of a platform maintenance cost plus success-based pricing. They project growing from 10 clinics under management to 2,500 within two years, aiming for a jump from $500k to $35M in recurring revenue by capturing 1.8% of the market.
What is the long-term vision for the 'Agentic Clinic'?: In Phase 3 (2-4 years), Novoflow intends to acquire a physical medical clinic. They plan to strip all human-led operations and build a 'physician-only' practice where every administrative and operational task is handled by AI agents, serving as a case study for high-efficiency healthcare.
Who are the founders and what is their background?: The team consists of Mathieu Rihet, an ex-Emory and Georgia Tech scholar with a background in medical interpretation and coronary artery disease research, and Georges Casassovici, a CMU engineer and the youngest YC founder who holds patents for AI-enhanced LiDAR at Leica.
What specific tasks do the AI agents handle?: Currently, the agents focus on high-urgency verticals including appointment scheduling, patient scrubbing, assistant nursing, result management, and follow-up reporting. The goal is to build a 'Library of Agents' that can be deployed in under 24 hours to handle any repetitive clinic task.

Cover slide of the Novoflow pitch deck — Seed 2025 — Novoflow pitch deck, slide 1 (2025)

Novoflow pitch deck: the facts

Company: Novoflow
Year: 2025
Stage: Seed
Slides: 9
Sector: Healthcare / AI
Deck type: Fundraising Pitch Deck
Outcome: $3.1M Raised
Headquarters: North America

Novoflow pitch deck PDF

The full Novoflow deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Novoflow pitch deck was used for

This deck is the Novoflow seed pitch presented out of Y Combinator’s Spring 2025 cohort, used to raise about $3.1M in seed funding to build “AI employees” for medical clinics.[5][8][9][12][15] The company positions its product as computer-using AI agents that plug into any EHR, including legacy and on‑prem systems, to automate phone, scheduling, and other operational workflows with extremely fast integration times compared to traditional EHR projects.[1][2][3][6] Business Insider’s feature on the deck highlights a concise 9‑slide presentation and emphasizes a claimed 3‑hour integration versus the typical 3‑week industry standard as a core selling point.[5] The raise was framed around building out the agent infrastructure, expanding the team, and scaling go‑to‑market in multi‑location specialty clinics.[3][6][7][10]

Business model: Novoflow develops AI-powered “computer-using agents” that operate directly inside medical clinics’ electronic health record (EHR) systems to automate administrative and operational workflows such as phone handling, appointment scheduling, cancellation recovery, and other clinic operations.[1][2][3][5][6]

Round: Seed.[4][5][8][9][12][15]
Lead investor: Justin Hamilton.[3][6][8]
Investors: Justin Hamilton (lead super angel).[3][6][8], N1 Ventures.[3][6][8], Multifaceted Capital.[3][6][8], Standard Partners Fund.[3][6][8], Y Combinator.[2][4][5][8][11][14]
Founded: 2025[2][11]
Founders: Mathieu Rihet[8][11], Georges Casassovici[2][7][11]
Headquarters: San Francisco, California, United States[6]
Industry: Healthcare technology / AI-enabled health operations software[1][2][5][6][14]

Year: 2025.[4][5][8][9][12][15]

Raising: Seed funding to build AI employee infrastructure, expand product and agent capabilities, hire a small team, and scale deployment across medical clinics.[4][6][7][8]

Raised: Approximately $3.1M seed round announced around November 3, 2025.[3][4][6][8][9][12][15]

Total funding: Approximately $3.1M in seed funding as of November 2025.[3][6][8][9][12][15]

Use of funds as presented: Funds were earmarked for accelerating product development of AI agents, building the AI employee infrastructure, expanding the team, and growing customer acquisition among clinics facing operational bottlenecks.[4][6][7][8]

What happened after the Novoflow deck

Following the 9‑slide YC pitch deck, Novoflow completed a seed round of about $3.1M in November 2025, backed by Y Combinator and a set of angels and funds, and has since continued to build and deploy AI employees that automate medical clinic operations across legacy EHR systems.[3][4][5][6][8][9][12][15]

Joined Y Combinator’s Spring 2025 (YC X25/S25) batch.[4][5][8][11][14]
Announced a $3.1M seed round around November 3, 2025, to build AI employee infrastructure for healthcare operations.[4][
Established early traction with multi‑location specialty clinics (radiology, dermatology, rheumatology, primary care) us
Expanded public positioning around universal EHR coverage and HIPAA‑aware voice agents following the seed raise.[1][13][

What the Novoflow deck got right

Strong, technically differentiated wedge around computer‑using agents for EHRs. The deck centers on a clear, differentiated wedge: computer‑using AI agents that can operate directly inside any EHR interface, including legacy systems, which avoids traditional API integrations and lengthy IT projects.[1][2][3][6] This technical framing is powerful for investors familiar with EHR integration pain.
Compelling speed‑of‑integration narrative (3 hours vs. 3 weeks). Business Insider and other breakdowns emphasize a headline claim of 3‑hour integration versus the industry norm of roughly 3 weeks for EHR projects, giving the deck a simple, memorable metric that captures speed and operational impact.[5]
Clear “AI employees” framing that maps directly to staffing and ROI. The pitch frames Novoflow’s product as “AI employees” that automate clinic operations, which translates technical capabilities into a staffing and ROI story that is easy for both investors and clinic operators to understand.[3][6][7][11]
Compelling founder narrative tied to YC backing. The founders’ story—two teen or young founders who dropped out to join YC’s Spring 2025 batch and build AI agents for healthcare—creates a strong narrative hook that the deck and surrounding coverage leverage for credibility and attention.[5][8][11]
Early traction and quantified ROI claims for clinics. External commentary reports early traction and ROI, including multi‑location specialty clinics and figures like 5–10x first‑quarter ROI from cancellation recovery and up to $50,000 per month reclaimed revenue, which the deck reportedly showcases to validate the business case.[2][3][6][10]
Concise, focused 9‑slide structure that keeps the story tight. The deck is described as a concise 9‑slide presentation that stays focused on the core problem (EHR chaos), the AI agent solution, integration speed, and outcomes, which can make it easy for investors to grasp the thesis quickly.[5]

What could have been stronger

Limited technical detail and implementation evidence in publicly available deck coverage. Public analysis of the deck highlights the 3‑hour integration claim against a 3‑week industry baseline, but there is little externally verifiable detail in the deck itself (at least in accessible coverage) about technical architecture, deployment constraints, or quantitative implementation data beyond this headline comparison.[5][1][2] This may leave technical and enterprise buyers wanting more depth on reliability, security, and edge cases.
ROI claims are strong but not clearly underpinned by transparent metrics in the deck. Press and commentary around Novoflow focus heavily on high‑level ROI figures (for example, sharing reported 5–10x first‑quarter ROI from cancellation recovery and up to $50,000 per month reclaimed revenue) without clearly tying them to sample sizes, time frames, or methodology in the deck materials.[2][3] For a seed pitch targeting sophisticated investors and large clinics, the lack of visible methodology or cohort data is a potential weakness.
Regulatory and compliance strategy not deeply surfaced in deck coverage. The deck narrative, as described in Business Insider and other breakdowns, focuses on the operational pain of EHR chaos and the promise of agentic AI but appears to provide limited explicit detail on regulatory pathways, HIPAA compliance controls, and risk mitigation beyond general statements about HIPAA‑aware agents.[5][13] Given the healthcare context, investors may see this as a missing layer of detail.
Sparse visibility into economics and GTM strategy within the deck. Coverage of the deck suggests a tightly focused 9‑slide structure emphasizing vision, speed of integration, and AI agent capabilities, but there is relatively little public information on unit economics, pricing, or long‑term go‑to‑market strategy in the deck itself.[5][2][3][6] This can make it harder for investors to evaluate scalability and margin profile from the deck alone.

How an investor would read this deck

What draws attention

Claimed **3‑hour integration** versus an industry standard of roughly **3 weeks** for EHR‑related projects is a central hook likely to catch investor attention as a strong speed‑of‑deployment differentiator.[5]
The concept of **computer‑using AI agents** that operate directly inside legacy EHR interfaces—including Citrix and HL7‑based systems—without requiring APIs or vendor cooperation is a distinctive technical wedge.[1][2][3][6]
Positioning the product as **AI employees** for clinics (rather than just a software tool) reframes the value proposition around staffing, wage replacement, and operational efficiency, which is particularly compelling given administrative burnout in healthcare.[3][6][7][11]
The founders’ narrative—two young, YC‑backed dropouts with direct exposure to medical operations chaos—offers a strong story that can resonate with early‑stage investors and media.[3][5][8][11]
Early indications of multi‑location specialty clinic adoption and reported first‑quarter ROI improvements provide credible early traction signals for a seed‑stage company.[2][3][6][10]

Risks that stand out

Reliance on operating directly in third‑party EHR user interfaces may expose Novoflow to breaking changes, UI updates, and vendor resistance, potentially increasing maintenance burden and integration fragility over time.[1][2][3][6][13]
Healthcare operations automation touches regulated workflows and PHI, so any misconfiguration or agent error can have patient‑safety and compliance implications; investors will see regulatory risk and the need for robust controls as significant.[5][13][14]
The space for AI voice agents and healthcare workflow automation is competitive, with incumbents and EHR vendors increasingly building their own automation; Novoflow must defend its wedge of computer‑use integration and speed of deployment.[2][3][6][7][14]
Much of the publicly cited ROI and traction is still early and based on limited examples; if results vary, there is a risk that initial expectations (e.g., 5–10x ROI, $50k/month reclaimed) are hard to consistently match.[2][3][6][10]

Questions this deck invites

What empirical evidence supports the 3‑hour integration claim across different EHR vendors, and what are the observed ranges (best case, median, worst case) in real deployments?[1][2][5][6][13]
How does Novoflow technically implement computer‑using agents (e.g., RPA, visual AI, keyboard/mouse emulation), and what safeguards exist to prevent errors, misclicks, and downtime when operating inside mission‑critical EHRs?[1][2][3][6][13
What is Novoflow’s HIPAA and broader regulatory compliance posture (BAAs in place, data residency, logging, PHI handling, incident response), and have there been any third‑party audits or certifications?[1][5][13][14]
How do unit economics look per clinic (pricing, cost to serve, deployment and support overhead), and what evidence exists that the reported ROI (5–10x first‑quarter, $50k per month reclaimed) is repeatable across diverse clinic profiles?[2]
What is the long‑term go‑to‑market strategy beyond phone and scheduling—does Novoflow plan to expand into billing, claims, and other workflows, and how will it manage competition from EHR vendors building similar automation internally?[1][2

What founders can take from the Novoflow deck

A concise deck (9 slides) can still raise a meaningful seed round if it articulates a sharp wedge—here, AI agents that use existing EHR screens—and backs it with a clear speed‑of‑integration narrative like 3 hours vs. 3 weeks.[5]
Framing a product as **AI employees** rather than generic software can reorient investor thinking toward staffing and operational budgets, which may be easier to unlock than traditional SaaS line items.[3][6][7]
Grounding a healthcare automation story in real clinic pain (missed calls, cancellations, fragmented EHR workflows) and concrete financial outcomes (e.g., $50k per month reclaimed revenue, 5–10x first‑quarter ROI) makes the pitch more tangible.[2][3][6]
Participating in a well‑known accelerator like Y Combinator and timing the announcement around the batch can amplify visibility for a seed raise and create social proof in early investor conversations.[4][5][8][9][11][15]
A strong founder narrative—including non‑traditional backgrounds and direct exposure to the problem space—can be a powerful complement to technical differentiation in early‑stage fundraising.[3][5][8][11]
Positioning AI as a universal integration layer for messy, heterogeneous EHR environments shows how focusing on integration pain rather than just “AI capabilities” can unlock a clearer value proposition.[1][2][3][6][13][14]

Novoflow pitch deck: common questions

What does Novoflow actually do?

Novoflow builds AI “employees” for medical clinics—computer‑using agents that log into and operate EHR systems like a human staff member to automate phone handling, appointment scheduling, cancellation recovery, reminders, and other administrative workflows.[1][2][3][5][6][14] Their first product is a multilingual AI voice agent that answers inbound and outbound calls and books directly inside any EHR without new APIs.[2][3][6]

How much did Novoflow raise with this pitch deck and when?

Novoflow raised about $3.1M in seed funding around November 3, 2025, following its participation in Y Combinator’s Spring 2025 (YC X25/S25) batch.[4][5][8][9][11][12][15] Multiple press and secondary data sources describe this as a seed round in the ~$3.1M range.[3][6][8][9][12]

Who invested in Novoflow’s seed round?

According to press and investor write‑ups, the seed round was led by super angel Justin Hamilton, with participation from N1 Ventures, Multifaceted Capital, and Standard Partners Fund, alongside Y Combinator’s backing.[3][6][7][8] These investors are consistently cited across independent articles covering the seed raise.[3][6][7][8]

Who are the founders of Novoflow and what is their background?

Novoflow was founded in 2025 by two young founders, Mathieu Rihet and Georges Casassovici, who joined Y Combinator’s Spring 2025 cohort and reportedly left school to work on the company full time.[2][5][8][11] Rihet has experience as a medical interpreter/translator, while Casassovici has a background in engineering and voice AI.[2][3][8][11]

How does Novoflow integrate with existing EHR systems and what’s special about its integration speed?

The deck and surrounding materials emphasize that Novoflow’s agents can integrate with virtually any EHR—including legacy, on‑prem, Citrix‑based, or HL7‑era systems—by visually operating the interface like a human user, which avoids long IT projects and API integrations.[1][2][3][6][13][14] Business Insider’s coverage of the deck specifically calls out a 3‑hour integration time compared to a roughly 3‑week industry norm for traditional EHR setups.[5]