Dr. Muthu Alagappan, CEO and Founder of Counsel, on defining a new healthcare paradigm in asynchronous care

Today, excited to get to know Dr. Muthu Alagappan, CEO and Founder of Counsel, the modern solution for access to care.

Before founding Counsel, Muthu was the CMO of Notable Health for almost 4 years and was an Attending Physician at Beth Israel Deaconess Medical Center and UCSF Medical Center. He graduated with his MD from Stanford Medicine and (fun fact!) was also the Student Commencement Speaker for his graduating class.

Founded in 2023, Counsel provides patients with high-quality, personalized medical advice from expert doctors within minutes. Counsel recently announced $11M in seed funding from investors like A16z, Floodgate, Asymmetric Capital and Pear VC! We at Pear VC are proud to be partners to Counsel!

If you prefer listening to the podcast, here is the recording.


Muthu’s Background and Career Path

  • Starting from early childhood, Muthu always had a dual interest in both technology and healthcare, influenced by his physician father and growing up in Houston, Texas, which is the world’s biggest medical center. When Muthu arrived at Stanford for undergrad, it was an amazing place where Stanford really thrived on cross-pollinating ideas across different domains from medicine to art and humanities to AI. He learned that having multiple domains of experiences is a super valuable combination. Stanford had a really popular concept of being a “T-Shaped” person, the idea of having a depth of experience in one area, with the ability to connect that experience across multiple domains. This “T-Shape” concept really stuck with Muthu, which became a big focus of his to develop a deep expertise in one area but still maintain connectivity and knowledge in others. As he has evolved in his career, he admits that he’s more of an “H-Shaped” person now, having two domains of expertise, connecting both artificial intelligence and clinical medicine. He shares that we are starting to see industries are starting to collide in ways they haven’t before.
  • Throughout his career, Muthu has always had a contrarian underdog mentality.

“What do we believe today that won’t be true in the future? What are paradigms that today feel ubiquitous but in the future may change?” 

This led him to pursue opportunities and companies where people were excited to change those paradigms. Muthu was drawn to Notable in 2019 on using AI to supercharge administrative workflows, which was more of a contrarian of an idea back then, now ubiquitous and seems obvious today. Muthu served as Chief Medical Officer at Notable for almost 4 years, supporting some of the biggest health systems in the country. Today, Muthu has shifted to a new paradigm in asynchronous care with Counsel.

Founding Story of Counsel

  • Muthu shared that founding a company was a major decision—one he approached with years of careful thought, aiming to achieve a true alignment between his expertise and a meaningful, impactful problem. His commitment to healthcare stems from understanding that success in this field demands a blend of AI proficiency, clinical medicine insights, and go-to-market strategy—all essential and deeply interwoven in healthcare innovation.
  • Counsel specifically addresses the urgent issue of healthcare access. In the U.S. and globally, we’re confronting a critical shortage, with the healthcare system on track to face a gap of 100,000 clinicians within the next 5-10 years, if not sooner. This shortage already reflects in long wait times, averaging 40 days to see a primary care physician in most cities. As a result, many patients turn to Google for medical advice, often leading to decisions that strain the healthcare system and negatively impact their own outcomes, such as unnecessary ER visits or unneeded MRIs.
  • Muthu explains that Counsel offers immediate, trusted medical guidance from real doctors through asynchronous messaging, providing advice within minutes to help patients make informed decisions and reduce unnecessary visits. As a virtual medical practice, Counsel reimagines how people access care, enabling patients to consult a doctor right from their phone, anytime they have a question. It’s like having a doctor in the family, ready to provide insights and support at a moment’s notice—ultimately improving access and enhancing the care experience.

“Growing up with a physician parent and physician myself, I know the magical feeling of having instant trusted advice anytime you need it about your health. How do we democratize that magical feeling to everyone through Counsel?”

Counsel’s Business Model and Go-to-Market Strategy

Muthu’s advice to startup founders on navigating GTM:

  • Muthu emphasizes that early go-to-market efforts in healthcare can be challenging without prior industry experience. He recommends bringing in an expert who understands healthcare incentives and partnerships early on, as the sales cycles in healthcare are lengthy and complex. It’s essential to address a pressing problem—one that is top-of-mind for your champion. If it’s only their second or third priority, the opportunity may not have as strong a foundation for success.
  • Muthu advises taking the time to find partners whose mission truly aligns with yours—like selecting the right lifeboat to reach the next big island. He emphasizes the value of finding long-term champions who are deeply invested in your success. For Counsel, this meant using an “echolocation” approach, engaging in wide-ranging conversations to identify what resonated most and led to meaningful alignment.

Advocating for Asynchronous Care as a Specialty

  • Counsel recently published an opinion piece in STAT, advocating for asynchronous care to be recognized as its own specialty. This push aligns with findings from the Corewell study in NEJM, which highlighted the effectiveness of dedicated “inboxologists” in managing patient messages. The study demonstrated notable benefits, including faster response times and more efficient triage of patient needs.
  • Muthu notes that patient behavior is shifting decisively toward messaging-based care and medical advice. Over several consecutive years, inbox messaging rates have nearly doubled annually, underscoring that asynchronous, text-based communication is rapidly becoming the preferred way people engage with healthcare.

“The last 100 years has been about in-person and video-based care, the next 100 years will likely be about messaging.”

  • Most providers currently treat messaging as an optional, add-on service, offering responses when possible but without a dedicated focus. But what if we made messaging-based care a specialized role? By doing so, we could provide high-quality, consistent asynchronous care, unlocking significant benefits for both patients and the healthcare system. Asynchronous care is particularly well-suited to many conditions, allowing ongoing monitoring at a low cost.
  • Counsel is at the forefront of this movement, defining, designing, and developing the right clinical protocols, optimized provider interfaces, and quality metrics specifically for asynchronous care. We’re thrilled that Counsel is leading the way in establishing asynchronous care as a recognized specialty.

What other healthcare paradigms will continue to change in the next decade?

  • Muthu is energized by the shifting paradigms in healthcare that are making the field more patient-centered rather than provider-centered. For instance, the current structure of medical specialties is designed around provider needs, often leading to confusion for patients. Muthu envisions a future where Counsel moves away from provider-centric structures, like specialties and “encounter-based” care, in favor of models that focus on the patient’s specific needs, creating a truly patient-first approach.
  • He’s also highly optimistic about generative AI’s transformative potential in healthcare, especially in streamlining administrative tasks to make the experience simpler for both patients and providers. While early advancements are likely to emerge in automating referrals, prior authorizations, provider templates, and scheduling, Muthu believes the most profound impact of AI will ultimately be on clinical care. He notes that while clinical applications face hurdles due to regulatory and safety requirements, as well as misaligned financial incentives, Counsel has developed a model that aligns all stakeholders to support these innovations.
  • In the broader context, Muthu sees immense promise in AI for life sciences, with potential breakthroughs in accelerating drug discovery and advancing personalized medicine. He’s hopeful that Counsel, along with other clinical AI pioneers, will help drive transformative changes in how AI is integrated into patient care.

Building a Team for an Early-Stage Healthcare Startup

  • Muthu seeks individuals who thrive in early-stage environments, as it requires a unique skill set and mindset. Strong mission alignment is essential. Counsel has built a lean, talented team unified around the mission, and they’re always on the lookout for those passionate about healthcare, AI, and startup growth.
  • The team is primarily composed of full-stack engineers, AI/ML engineers, researchers, and product managers, but they’re open to any roles for people who are energized by Counsel’s mission and stage. Explore the open roles: https://jobs.ashbyhq.com/counsel!

Rapid Fire questions:

  • Listen to the episode on what people are surprised to find out and other pieces of advice from Muthu in our rapid fire questions at the end.

Sponsor note: This is the Pear Healthcare Playbook podcast. This season is brought to you by Banc of California. Banc of California partners with leaders to help them identify the right products and services for their business needs.

Introducing Pear’s Healthcare and Biotech Industry Advisory Councils!

Our team at Pear is thrilled to announce an incredible new resource for our Healthcare and Biotech founders. Today, we are officially unveiling Pear’s Healthcare and Biotech Industry Advisory Councils!

At Pear, we feel privileged to work closely with our founders at the earliest stages of company development, specializing in seed and getting founders to product market fit. We also aim to provide them with best-in-class platform support across talent, go-to-market, fundraising, and PR & communications

We recognize, however, that our founders building in Biotech and Healthcare have specialized needs. Over the past few months, our Biotech Partner, Eddie and our Healthcare Partner, Vivien have been hard at work carefully crafting and recruiting a “dream team” of leading founder-CEOs, operators, executives and academics. We’re so honored to be partnering with this esteemed group and are grateful for their generosity to support the next generation of founders.

Introducing Pear’s Biotech and Healthcare Industry Advisory Councils:

In Biotech, we often back stellar scientists and engineers starting companies based on innovative platform technologies with multiple applications. They are leaders within their domains of technical expertise, but they understandably need help in areas such as selecting a lead indication, developing a partnering strategy, negotiating an IP license, or refining a program budget and timeline. 

In Healthcare, we are looking for multidisciplinary teams with clinical, technical, and go-to-market DNA.  Technology can only make a difference if health systems providers, payers, and pharma are willing to adopt these solutions and we believe our advisory council helps refine customer strategy and supercharge our founders’ customer adoption, along with our hands on GTM support at Pear. 

Learn about how we invest in Healthcare and Biotech:

We have created landing pages on our website for our Healthcare and Biotech investing practices which share more details about our investment scope, approach to working with founders, and current Industry Advisory Councils.

We’ve already been impressed by the impact these advisors have made on our founders and their companies, and we can’t wait to see what’s next!

If you’re a Healthcare or Biotech founder and interested in partnering with Pear VC or getting to know our advisors, please reach out at vivien@pear.vc and eddie@pear.vc.

Generative AI Tech Stack

We recently launched a dedicated AI track to the PearX program and have received a great response. Founders often ask us for guidance on how to build a moat for their AI startup. There are many aspects to this question but to kick things off, we are sharing a presentation I gave at SF Tech Week that covers background on the emergence of Generative AI, the highest priority areas of application particularly in enterprises, and what we believe enables a ‘moat’ for AI startups.

Generative AI Tech Stack Presentation at SF Tech Week

Generative AI is a game changing technology for humanity. A quote from one of my heroes, Professor Fei Fei Li at Stanford, and also was head of AI at Google Cloud for a while captures the excitement well:

“Endowing machines with generative capabilities, has been a dream for many generations of AI scientists” 

Seminal technologies which have led to the recent Generative AI breakthroughs include Cloud computing and within that advancements in GPUs, Kubernetes and open source frameworks like PyTorch provide an efficient and widely accessible substrate for model training and inference.

Research breakthroughs on the transformer neural network, its use on internet scale datasets and recent advancements in AI alignment are at the heart of most of the Generative AI capabilities today.

By no means are we at a peak yet, as research continues to improve efficiency at the hardware, software and services layers. Most interestingly to increase context lengths and optimize AI application architectures for accuracy, latency, and reliability. We cover some of these topics in depth in our Perspectives on AI fireside series.

It is clear that Generative AI techniques apply to multiple modalities. There has been a steady stream of models, both open source and proprietary in the major areas of NLP, Image, Video, Voice and also physical synthesis of Proteins.

Applications to both consumer and enterprise software abound and are already starting to change the shape of what software can do. We highlight some of the opportunities to build vertical and horizontal applications as well as tooling and infrastructure.

Of course there is hype when it comes to Generative AI, and in some sense it is almost too easy to create new functionality by building a thin layer over a foundation model that somebody else has built. While there are some businesses to be built in that way, for a venture scale business, we posit that a deeper moat is required to build. A large business that benefits rather than crumbles from rapid evolution of technology at the lower layers of the AI stack requires several moats.

Our thesis is that Applications will be composed of ensembles of specialized models, not just foundation models, but specialized models that are customized via fine tuning or in-context learning or a range of other techniques to complete part of a use case or workflow. These specialized models should utilize proprietary data specific to a domain and help to personalize the output of the application as well as ensure accuracy. A by product may also be lower cost to serve. Overall such an architecture will be a way to build lasting value and be more immune to disruption.

Tooling and infrastructure supporting the development of new applications of this kind is second part of our investment thesis. In particular, data and tooling companies to evaluate and ensure safety, accuracy, and privacy of these applications will be in demand. Lastly a few new infrastructure companies and capabilities will advance the development of these applications. We see emerging companies at every layer of the AI stack (slide 9). With that thesis in mind,  building a moat is fundamentally not that different in AI than in any other emerging space (slide 10).

Enterprise readiness for adoption of AI is arguably higher than it has ever been with the widespread acceptance of cloud computing, API integrations, and existing investments in data analytics teams and software. The hurdles to enterprise adoption are also not new, these are the same requirements that any cloud service has to meet, with perhaps a stronger need for ease of use and simplicity given the lack of existing AI/ML talent.

We conclude by quoting what many others have already said, that this is a great time to start a company!