Counsel Health
Physician supervised virtual care company delivering asynchronous care through chat and voice messaging. Medical AI gathers context and provides initial evidence based guidance, and a board certified physician from an in house medical group licensed across all fifty states joins the conversation when diagnosis, prescription, or referral is required. Behind the interface sits a purpose built clinician cockpit and a self developed EMR designed for asynchronous care. Sold to payers, employers, and health systems as a front door to care.
Capability Axes
The AI handles the first contact and resolves most of it. The company states its medical AI gathers context and offers initial evidence based guidance, with a physician joining only when medically necessary, and reports that most concerns are resolved on the platform. The company describes itself as built ground up with AI native workflows rather than layering AI onto existing processes, including a self built EMR because no off the shelf system suited asynchronous care. Physicians are the safety layer, not the throughput engine.
The clearest oversight architecture among patient facing AI in this index, because the boundary is drawn at a specific and defensible line. The AI provides information and context gathering; diagnosis, prescription, and referral require a board certified physician from an in house medical group licensed in all fifty states, who can join a conversation typically within fifteen minutes during clinical hours. A company physician has stated publicly that there remain decisions only a physician can make, naming prescribing, referring, and delivering a diagnosis. The design also supports continuity, with patients messaging over days as symptoms evolve, which is a safer failure mode than a single stateless answer.
The architecture is described at the workflow level and partially at the engineering level. The company describes a clinician cockpit integrating patient records, specialty guidelines, and academic research, and its agent infrastructure has been publicly described as built on a named third party agent framework with encrypted at rest storage shared with physician patient conversations. What is not published is the underlying model, evaluation methodology, or any accuracy measurement of the AI guidance itself, which is the number that matters most for a product giving medical information.
Evidence is utilization and self reported avoidance rather than clinical outcome. The company reports that survey data shows it helped 77 percent of users avoid in person care, and describes serving tens of thousands of patients through health plan and provider partnerships across multiple states. Avoided care is a cost metric that cuts two ways: it demonstrates resolution but does not distinguish appropriate avoidance from care that should have happened. No published clinical quality, safety, or diagnostic concordance evidence was located, which is the gap for a product this close to clinical decision making.
The platform holds longitudinal clinical conversations and medical history, which the company states is used only to deliver personalized care and kept private. HIPAA and SOC 2 compliance are stated on the company's own site alongside encryption commitments, and its agent infrastructure has been described as HIPAA compliant and SOC 2 secure with encrypted at rest storage. The company also states it documents every patient interaction and shares it with health information exchanges and EMRs so the rest of the care team stays informed, which is a genuine safety benefit and simultaneously widens the data flow a buyer should understand.
HIPAA compliance is stated directly on the company's site alongside SOC 2, with a stated commitment to the highest standards of security and encryption. As an operator of a physician group the company is a covered entity in its own right rather than only a business associate, which changes the contracting posture for payer and employer buyers. No explicit BAA commitment language was located, which is what separates this from an A.
SOC 2 compliance is stated publicly and corroborated in a third party engineering account describing the platform's agents as SOC 2 secure. The SOC 2 type is not specified and no trust center or downloadable attestation was located, so a buyer's diligence still runs through sales rather than self service.
No FDA pathway is claimed, and the architecture is what keeps the product outside device regulation: the AI provides information while a licensed physician makes every diagnostic and prescribing decision. The regulatory regime that actually governs this vendor is medical practice regulation, meaning state licensure across all fifty states, telehealth and asynchronous care rules, and prescribing authority, which is a substantially different compliance surface than Software as a Medical Device.
The company describes built in guardrails with board certified physicians safeguarding every interaction, and positions its AI explicitly against consumer tools that cannot tell a member what is safe or covered. That is a governance posture expressed through clinical structure rather than a published program. No bias evaluation was located, which matters because the company notes some of its most engaged users are women over 65, a population where symptom presentation and model performance frequently diverge from training distributions.
The company built its own EMR for asynchronous care rather than adopting an existing one, and states it documents every patient interaction and shares that documentation with health information exchanges and EMRs so a patient's other clinicians stay informed. Outbound HIE participation is a meaningful interoperability commitment that many virtual care companies skip. For enterprise buyers it offers APIs, single sign on, and rollout kits to embed the experience in an existing platform. No named EHR integrations were located.
No hosting, tenancy, or data residency disclosure was located. The product is delivered as a cloud service with embeddable APIs and single sign on for enterprise partners, but no infrastructure terms are published.
No published pricing for the payer, employer, or health system offerings. The company frames value in terms of avoided high cost claims and per engaged member savings from avoided care and utilization, which suggests a per member arrangement, but no rate or structure is disclosed.
Positioned as enterprise virtual primary care, a front door spanning general medical questions, symptom evaluation, lab result interpretation, medication refills, and lifestyle guidance, with escalation to in network care when needed. The physician group is licensed in all fifty states, which removes the state by state coverage gaps common in telehealth. Specialty depth is handled by steering to point solutions and in network specialists rather than in house, so this is breadth of access rather than depth of specialty care.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
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Contact the vendor
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Undisclosed. Sold to payers, employers, and health systems as an enterprise primary care solution. | Not disclosed. Note the company operates its own physician group, so it is a covered entity in its own right rather than solely a business associate, which changes the contracting structure for payer and employer buyers. | Not disclosed. The company states APIs, single sign on, and rollout kits make it straightforward to launch inside a partner platform. | Vendor Published |
The company frames value to enterprise buyers in terms of avoided high cost claims and per engaged member savings from avoided care and utilization, which implies a per member per month or engagement based structure, but no rate is published. Consumer facing access appears to run through employer, health plan, and partner channels rather than direct retail purchase.