Lassie
An AI assistant that automates administrative work for doctors' offices — scheduling, billing, insurance follow-ups, and reconciliation.
- Business Profile
- Founders & Team6 sources scanned
- Market Size9 sources scanned
- Competitor Research5 sources scanned
- Funding10 sources scanned
- Momentum7 sources scanned
- Customer Sentiment7 sources scanned
- AI Visibility
- Risks & Red Flagspublic record checked
Summary
Worth a closer lookLassie.ai is an AI‑first bolt‑on assistant automating front- and back‑office work for SMB medical practices (scheduling, billing, insurance follow‑ups, reconciliation), positioning itself as a lighter operational layer versus full EHR vendors. Against named rivals it differentiates from Tebra by avoiding the full EHR stack, from Klinic and Weave by extending beyond reception/communications into billing and reconciliation, and it competes with Waystar/NextGen for RCM value but lacks their entrenched payer and clinical integrations. The a16z‑led $35M Series A (June 3, 2026), a total $47M raised, and reported scale (700+ practices, ~250k labor hours automated, >$10M annualized revenue) show genuine early commercial traction and investor conviction. The single biggest tension is verification and defensibility: public AI visibility is limited, there are no third‑party customer reviews, and incumbent payer/EHR connectivity could block scale. First meeting should focus on validating the reported metrics, unit economics, integration footprint, and the technical moat that prevents incumbents from copying the same workflows.
Bull case
- Closed a $35M Series A led by Andreessen Horowitz (announced June 3, 2026), signaling top‑tier investor conviction and growth capital to scale go‑to‑market.
- Reported operational traction of 700+ practices, ~250k labor hours automated and >$10M annualized revenue, indicating product adoption beyond pilots.
- Board and adviser additions (Alex Rampell joining the board; Dr. Ed Zuckerberg and Jason Warnick as advisors) add investor, payer/clinical credibility and networking for scale and partnerships.
- Clear product wedge: an AI‑first autonomous admin layer that expands beyond AI reception (Klinic) and communications (Weave) into reconciliation and insurance follow‑ups, addressing painful labor in SMB practices.
Watch-outs
- Competes with well‑established players (Waystar, NextGen, Tebra) that have deeper payer connectivity, EHR footholds, and scale which could limit Lassie’s ability to win or integrate at enterprise or large group scale.
- No independent customer reviews or third‑party validation found — reported metrics (700+ practices, >$10M ARR) are unverified in public sources.
- Limited category AI visibility — Lassie was not surfaced unprompted in market lists, suggesting discoverability or positioning gaps versus incumbents and niche AI players.
- Total capital reported as $47M with a disclosed $35M Series A implies earlier undisclosed rounds and an opaque cap table/runway; unit economics and retention metrics are not public.
Questions for the founder
- 1Can you provide substantiation (contracts, invoices, NAICS/clinic counts) for the 700+ practices, ~250k automated labor hours, and >$10M annualized revenue?
- 2What are ACV, CAC, LTV, gross margin and payback period by cohort (SMB solo, small group, multi‑location)?
- 3Which EHRs and payer networks are integrated natively vs via customers, and how many direct payer connections does Lassie operate today?
- 4What are gross and net dollar retention and customer churn by cohort over the last 12–24 months?
- 5What are Lassie’s compliance and security certifications (HIPAA, SOC2) and any third‑party audits or penetration tests completed?
Company profile
Customers on site
Pricing
Not publicly disclosed. The company website does not list its pricing on any of the 6 pages we read.
Target segments
Key features
- Electronic Payment Enrollment
Automates setup and management of electronic fund transfers (EFTs)
- EFT / Payment Reconciliation
Matches insurer, patient, and claim payments and reconciles accounts
- Payment Posting
Automatically posts reconciled payments into practice management systems
- Claims & Insurance Follow‑up
Manages claim enrollments and follow‑ups to convert payments to EFTs
- Administrative Automation
AI assistant for scheduling, appointment confirmations, rescheduling, and other front‑office tasks
Stats they publish
Testimonials
“Lassie saved my team over 100 hours in manual data entry last month. It's reduced my outstanding AR by 75%.”
Eric Kwon DDS · Owner, Grace Dental“My team now has more time for patient care ... Cash flow issues and waiting 30+ days for insurance reimbursements is a thing of the past!”
Dr. Gina Marcus · Owner, Infinity Dental Associates“My best team member stopped wasting tons of time entering checks and reconciling accounts. My team loves it.”
Dr. Nelson Kanning · Owner, Kanning Dental“Choosing Lassie has allowed me to transform my operations and embrace a new level of precision in my practice.”
Dr. Mina Levi · Owner, California Dental Innovations“4.8 “ My team now has more time for patient care. Cash flow issues and waiting 30+ days for insurance reimbursements is a thing of the past! ””
Dr. Gina Marcus · Owner , Infinity Dental““ Lassie saved my team over 100 hours in manual data entry last month. It's reduced my outstanding AR by 75%. ””
Eric Kwon DDS · Owner, Grace Dental
Social accounts
Compliance & certifications
Corporate identity & contact
- Trade name
- Go Lassie, Inc.
Frequently asked questions
- What can Lassie help me with?
- Lassie automates the administrative work that keeps your practice moving, from enrollments and posting to reconciliation, appeals, reporting, and follow-up work.
- How do I get started?
- Book a demo, and we’ll take a quick look at how your office runs today, then show you where Lassie can help.
- Do I need to change my existing systems?
- No. Lassie is designed to work with the way your practice already runs. On the first call, we’ll confirm your current setup and what Lassie can automate.
- What does my team still handle?
- Your team stays in control. Lassie takes on repetitive admin work and flags exceptions when something needs review.
- How long does onboarding take?
- If you’re already on EFTs, usually one to two weeks. If you still use paper checks, full auto-posting setup can take about eight weeks.
- What does Lassie cost?
- Lassie gets paid when it does work for your office. Once we understand your practice’s volume and workflows, we’ll show you what pricing would look like.
Founders & Team
5- Steijn PelleFounderCo-founder & CEOPreviously an early product manager at Robinhood and Coinbase.
- Frédéric RenkenFounderCo-founderDescribed as the first product hire of Superhuman.
- Alex RampellBoard of Directors (joining)Co‑founder of Affirm and General Partner at Andreessen Horowitz.
- Dr. Ed ZuckerbergAdvisor
- Jason WarnickAdvisorFormer chief financial officer of Robinhood.
Lassie’s founding team is publicly identified as Steijn Pelle (Co‑founder & CEO) and Frédéric Renken (Co‑founder). Recent press around the company’s funding round names Alex Rampell as joining the board and Dr. Ed Zuckerberg and Jason Warnick as advisors.
- Multiple unrelated companies share the name “Lassie” (notably a Stockholm-based pet-insurance startup associated with Hedda Baverud Olsson and Sophie Wilkinson); those people and the team counts shown on some aggregator pages refer to that different company and were excluded.
- No authoritative public Lassie (lassie.ai) team page or headcount for the AI doctor-office company was provided; employee count is therefore not listed here.
- Some sources use abbreviated or variant spellings (e.g., 'Frederik' vs 'Frédéric'); the entries above are limited to people explicitly tied to the AI healthcare admin company in the cited press.
Market Size
Top-line published figure for the target software market: the U.S. healthcare SaaS market is cited at USD 30.5B (2024) and is the most appropriate published TAM for a vendor selling practice-office software. A grounded bottom-up SAM/SOM cannot be produced without Lassie's ACV or per-customer revenue; those are required to convert customer counts into a serviceable market and an obtainable share.
- Emergen Research ↗As of 2024, the U.S. healthcare Software as A Service (SaaS) market was valued at $30.5 billion and is projected to reach $78.2 billion by 2034, reflecting a compound annual growth rate (CAGR) of 9.6% over the forecast period. · United States · 9.6% CAGR
- Grand View Research (U.S. Medical Automation Market Outlook) ↗The U.S. medical automation market generated a revenue of USD 16,815.4 million in 2023 and is expected to reach USD 29,598.3 million by 2030. · United States · 8.4% CAGR
- Count of potential primary customers — active physician group practices in the U.S.Over 395,000 active physician group practices (Jan 2025).https://www.definitivehc.com/resources/healthcare-insights/number-physician-group-practices-by-state
- Company traction (used only as context for go-to-market / SOM reasoning)Lassie reports being trusted by over 2,500 doctors nationwide.Lassie (company published traction)
- ACV / pricing data available for bottom-up SAMNo publicly captured pricing / ACV was found for Lassie; therefore a grounded bottom-up SAM (customers × ACV) could not be calculated.No pricing located in provided company information
- TAM uses a published U.S. healthcare SaaS figure (Emergen Research) that best matches a software vendor selling administrative tools to providers; other published 'medical automation' reports (Grand View Research, Mordor, etc.) mix hardware, robotics and lab automation and are broader than an admin-SaaS vendor's addressable software revenue.
- No Lassie pricing / ACV was found in public materials provided; without ACV a bottom-up SAM (customers × ACV) is not calculable — sam and som are therefore left null to avoid guessing.
- Counts of practices (e.g., '395,000 physician group practices') may double-count multi-location groups and exclude dental clinics; a defensible SAM would require target segmentation (medical vs. dental, solo vs. groups) and Lassie's typical customer ARR.
- Some market reports are paywalled or use differing definitions of 'automation' vs. 'software' — reported figures are retained verbatim from publishers and may not exactly match Lassie's narrower product scope.
- SOM is purposefully omitted because it must be derived from a grounded SAM and a justified obtainable-share assumption; producing a credible near-term share requires ACV, win rates or conversion benchmarks that are not available.
Competitors
Top 5Landscape mixes full‑stack EHR/RCM incumbents and point solutions for comms or AI reception. Lassie sits as an AI‑first bolt‑on automating front‑ and back‑office admin for SMB medical practices.
- Tebratebra.com ↗All‑in‑one EHR, practice management and billing. Lassie is an AI‑first admin automation layer—lighter than Tebra's full EHR, stronger on hands‑off task automation.
- Waystarwaystar.com ↗Enterprise RCM and payer/payment platform; Waystar wins on scale and payer connectivity, Lassie competes with AI‑driven front‑office automation and reconciliation for SMB practices.
- Weaveweave.ai ↗Integrated practice communication, phone and payments platform; Weave excels at two‑way patient communication, Lassie differentiates with autonomous administrative workflows and insurance follow‑ups.
- Klinicklinic.com ↗AI receptionist/virtual front‑desk for scheduling and intake; Klinic competes on live‑call replacement, Lassie offers broader back‑office billing and reconciliation automation.
- NextGen Healthcare EHRnextgen.com ↗Large EHR and practice‑management vendor with billing and interoperability; NextGen has deeper clinical adoption, Lassie positions as bolt‑on AI admin layer for operations.
Funding
- Series A$35 millionJune 3, 2026Andreessen Horowitz leadNight CapitalRahul VohraZach PerretTaavet HinrikusGokul RajaramBrian BalfourDr. Edward ZuckerbergBusiness Wire ↗
Lassie announced a $35M Series A led by Andreessen Horowitz on June 3, 2026; the company states its total capital raised is $47M, implying earlier undisclosed rounds or investors.
- Company press materials and multiple news outlets report a $35M Series A led by Andreessen Horowitz on June 3, 2026 and state total capital raised is $47M, but the prior rounds that make up the remainder are not detailed in the provided sources.
- Crunchbase structured data in the provided material lists a Feb 12, 2026 Series C for $75M led by Balderton/Felix/Inventure; that appears to refer to a different company named Lassie (pet insurance) and was not attributed to the medical-office-automation Lassie (lassie.ai) in the available texts, so it was excluded from itemized rounds here.
- An anonymous-source valuation of ~$250M is reported by one outlet; this valuation is not company-disclosed and should be treated as unconfirmed.
- The Business Wire 'About Lassie' section names other backers (SV Angel, Homebrew, Go Global Ventures, Night Capital) as company supporters; those names are included in the top-level investors union but are not specifically tied to the Series A in the primary press release.
Momentum
- FundingJune 3, 2026Lassie raised $35 million in a Series A led by Andreessen HorowitzBusiness Wire ↗
- HireJune 3, 2026Alex Rampell (a16z) will join Lassie’s Board of DirectorsBusiness Wire ↗
- HireJune 3, 2026Dr. Ed Zuckerberg and Jason Warnick named as advisors to LassieBusiness Wire ↗
- MilestoneJune 3, 2026Operating in 700+ practices across 49 states and delivering 250,000+ hours of labor annuallyBusiness Wire ↗
- MilestoneJune 3, 2026Reports more than $10M in annualized revenue alongside 700+ practices and 250k labor hoursAndreessen Horowitz (a16z) ↗
Lassie announced a $35M Series A led by a16z on June 3, 2026 and reported operational scale (700+ practices, ~250k labor hours, >$10M annualized revenue), signaling accelerating commercial traction and investor interest.
- Most public signals come from the company press release and the lead investor's blog; independent third‑party reporting is limited in the provided material.
- Some fetched search results reference a different company named 'Lassie' (a Stockholm pet insurer); those items were excluded where they appeared to refer to a different entity.
Customer Sentiment
There are no third‑party customer reviews or platform ratings that can be attributed to lassie.ai. Public review pages and ratings found under the name "Lassie" refer to unrelated entities (pet insurance products and film reviews), so customer sentiment for the medical‑office AI assistant cannot be determined from available public sources.
Multiple public reviews and rating pages found under the name "Lassie" refer to other businesses and media (pet insurance brands and movie titles), not the B2B product lassie.ai; those cannot be attributed to lassie.ai.
No App Store / Google Play, G2, Capterra, Trustpilot or similar platform ratings that explicitly reference lassie.ai (the medical‑office automation assistant) were found.
Name collisions across unrelated 'Lassie' products make it impossible to extract credible customer quotes, scores, or recurring themes for lassie.ai.
Limited public review signal is common for early‑stage or enterprise/B2B SaaS serving medical practices; direct customer interviews or vendor references would be needed to assess sentiment.
AI Visibility
We ask ChatGPT WITH web search about the company and show its answers plus the sources it cited — the real AI-search experience. The key signal is share of voice: does the company come up when AI is asked about its space, not just when asked by name.
Models asked ChatGPT · web search
Accuracy of what AI said: Accurate — The assistant correctly describes Lassie's AI automation focus for independent medical practices and reproduces the reported Series A, team size, customer count, and automation metrics cited in the provided profile.
Lassie is a San Francisco-based technology company specializing in AI-driven automation solutions for small businesses, particularly in the healthcare sector. Their primary product is an AI platform designed to handle administrative tasks for independent doctors, such as confirming appointments, posting payments, and managing insurance claims. This automation allows healthcare providers to focus more on patient care by reducing the time spent on administrative duties.
In June 2026, Lassie secured a $35 million Series A funding round led by Andreessen Horowitz, bringing their total funding to $47 million. This investment aims to expand their AI-powered automation platform beyond healthcare to assist a broader range of small businesses in reducing administrative overhead. (citybiz.co)
The company operates with a team size of 11-50 employees. (linkedin.com) Their AI platform is trusted by over 2,500 doctors nationwide, automating tasks such as electronic payment enrollments, EFT reconciliations, and payment postings.
Notably, Lassie has achieved a high level of automation, with 98% of payment postings handled autonomously. This efficiency has led to significant time savings for healthcare providers, with some reporting over 100 hours saved per month.
In summary, Lassie is a growing AI company focused on automating administrative tasks for small businesses, starting with the healthcare industry, and has recently secured substantial funding to expand its services.
Here is a concise list of notable companies and products in the medical office automation space:
- DrChrono: An AI-powered, cloud-based EHR platform that integrates scheduling, documentation, and billing to streamline medical practice workflows. (drchrono.com)
- RXNT: Offers award-winning, integrated healthcare software designed for various specialties, including electronic health records, electronic prescribing, and practice management solutions. (rxnt.com)
- HealthArc: Provides a comprehensive virtual healthcare platform with remote patient monitoring, medical devices, and intelligent clinical software for chronic patient care. (healtharc.io)
- Provation: Delivers intelligent documentation and information management solutions to reduce clinicians' administrative burden, allowing them to focus more on patient care. (provationmedical.com)
- PracticeSuite: Offers a flexible, all-in-one, cloud-based platform that connects all parts of a medical practice, including scheduling, EHR, billing, and reporting. (practicesuite.com)
- CrisSoft: Develops Mercury Medical Practice Management Software, providing complete medical practice management with revenue cycle management solutions. (crissoft.com)
- AMBIR Technology: Provides healthcare solutions like insurance card scanners and signature pads to automate and streamline critical processes in medical practices. (ambir.com)
- Mountainside Software: Offers a complete set of products for medical offices, including practice management systems that automate various aspects of the billing cycle. (mountainsidesoftware.com)
- PocketHealth's Conductor: Utilizes AI agents to automate clerical tasks such as reading documents, calling patients, and completing non-clinical tasks, enhancing operational efficiency. (pockethealth.com)
- PhysiAssist Health: Provides modular, AI-powered products on a unified platform to streamline clinical documentation, revenue operations, and voice automation in healthcare settings. (physiassist.com)
In the medical office automation space, several companies offer innovative solutions to streamline administrative and clinical workflows. Here are some notable providers:
1. Luma Health
Founded in 2015 and based in San Francisco, Luma Health provides an end-to-end patient journey automation platform. Their services encompass referral management, scheduling, intake, appointment preparation, reminders, fax processing, and follow-up. The platform integrates with major Electronic Health Record (EHR) systems such as Oracle Health, Epic, and athenahealth. Luma Health serves over 1,000 health systems and clinics across the U.S., Canada, and the United Kingdom. (omnimd.com)
2. Epic Systems Corporation
Epic Systems is a dominant force in medical office software, offering robust and scalable EHR and practice management solutions. Their focus on interoperability, compliance, and intuitive patient portals has established them as a market leader. Epic's investments in AI-driven workflow optimization and secure cloud deployments facilitate seamless data exchange and enhanced patient engagement. (researchandmarkets.com)
3. Omnicell, Inc.
Omnicell specializes in automated systems for medication management in hospitals and other healthcare settings. Their products include medication adherence packaging and patient engagement software used by retail pharmacies. Omnicell's solutions aim to improve medication safety and streamline pharmacy operations. (en.wikipedia.org)
4. Innovaccer Inc.
Founded in 2014 and headquartered in San Francisco, Innovaccer offers an AI platform that unifies clinical, operational, and financial data across health systems, payers, government health agencies, and life sciences organizations. Their solutions include autonomous AI agents and AI-powered software for population health management, revenue cycle management, and patient engagement. (en.wikipedia.org)
5. R1 RCM
R1 RCM is a leading provider of revenue cycle management services, handling tasks such as patient registration, billing, coding, denial management, and underpayment recovery. They partner with over 1,000 providers across the United States, including 95 of the top 100 health systems, processing over 270 million payer transactions annually. (helpware.com)
6. Notable
Notable provides AI-powered digital assistants for patient intake, scheduling, referrals, and documentation. The company claims to serve 12,000 sites, 38 million patients, and automate 1.5 million tasks per day, with a reported 97% patient satisfaction rate. (doctorconnect.net)
7. Augmedix
Augmedix leverages ambient automation for clinical documentation, offering real-time medical transcription and AI-powered documentation assistance. Their solutions aim to reduce the administrative burden on healthcare providers and improve documentation accuracy. (agixtech.com)
These companies represent a range of solutions in the medical office automation space, each contributing to enhanced efficiency and patient care through innovative technologies.
Lassie was not surfaced unprompted in the category or recommendation lists, so it has limited AI visibility for its space. When asked directly, the assistant's description matches the provided profile (product scope, reported Series A, customer and automation metrics), but investors should confirm funding and performance claims from primary sources.
- AI search results and shortlist mentions vary run-to-run and reflect index timing and source coverage.
- Reported metrics (customers, 98% automation) and funding details should be validated against primary documents (press releases, filings, or direct company confirmations).
- Not being named in category/recommendation outputs can reflect curation decisions or the company's early-stage profile rather than objective importance.
Risks & Red Flags
No material public risk signals found. An absence of public concerns isn’t a clean bill of health — early or private companies may simply not generate coverage.
An absence of publicly reported issues is not a clean bill of health: early-stage or privately held companies often have limited public disclosure and may not generate press or regulatory records even when operational risks exist.
Search results include a different company named 'Lassie' (Stockholm-based pet insurance platform, reported $75M Series C in Feb 2026); that entity is unrelated to Lassie.ai and may appear in queries, so care should be taken to distinguish the two.
Compiled by AlgoTurk from public web sources · . Not investment advice.