Siggy Raises $6M for Clinician-Supervised Mental Healthcare
Jonathan Sabbagh describes having a psychiatrist who could answer his texts within minutes. The co-founder of Siggy is now trying to build a mental-health service around the continuity that relationship gave him, with software collecting the information a clinician needs between visits.
The New York startup announced $6M in pre-seed funding led by Village Global on November 5, 2026. Sabbagh, CEO, co-founded Journey Clinical; his co-founder and COO, Edvard Engesaeth, MD, co-founded Nurx. They bring experience delivering healthcare outside the conventional office to a service combining psychiatric care with AI-assisted intake and daily check-ins.
For healthcare operators, the consequential choice is where the information goes. Siggy puts a clinical team behind the conversation, with licensed professionals making diagnosis, prescribing and treatment decisions. Its funding supports the work of building both sides of that relationship: a useful stream of patient information and a care operation able to act on it. That combination gives the financing a more demanding commercial brief than a standalone consumer app.
What Siggy's first outside funding supports
The founders told Crunchbase News that the pre-seed is Siggy's first outside funding. They began building in late 2025 and intend to use the money for clinician and engineer hiring, software development and regulatory work. The November 5 date marks the public announcement; a separate closing date and valuation were not disclosed.
The company release names Albert Wenger of Union Square Ventures, Immad Akhund, Toyin Ajayi through Coalition Operators, PsyMed Ventures, Christina Sass, Andrew Parker, Steven Gutentag, Demetri Karagas, Daft VC, Mystic Ventures and Gokul Rajaram among the participants. Several have backed one or both founders before. Their affiliations explain the network around the round, but a personal investment should stay attached to the individual who made it.
That returning capital carries a particular kind of familiarity. These investors have already had opportunities to watch the founders build healthcare companies, and some are choosing to underwrite another attempt. For Siggy, the advantage is a financing conversation informed by prior work. The service still has to earn its own record with patients, clinicians and payers as that money goes into hiring and development.
The daily score comes with a clinical handoff
Siggy's product FAQ describes an initial conversation that gathers a person's history, followed by clinician review and ongoing check-ins. Patients report sleep, mood, medication and physical wellbeing. The Siggy Score presents a number out of 100 against the patient's own baseline, giving the patient and care team a directional view of changes over time.
The score is not a diagnosis. Siggy says clinicians make the treatment decisions and can review the information behind AI-prepared material. The launch release describes wearable inputs, naming Apple Watch and Oura while identifying Whoop as coming soon. Siggy's current how-it-works page describes wearable integrations more broadly as forthcoming, so their availability should be confirmed through the current service.
The operating question begins once a pattern has been flagged. Somebody has to review the context, decide whether more information is needed and determine whether the care plan should change. Daily information can make that work better informed, while also increasing the amount of material arriving for review. Siggy's useful product therefore extends through the clinical handoff, into the work schedule of the people responsible for responding.
CTO Jake Bourke, whose background includes Coinbase and SimpliSafe according to the company, leads the technical side. CMO Daniel Montville, MD, leads the clinical team. Those responsibilities meet whenever software presents something a clinician needs to interpret.
Insurance puts access inside the business model
Siggy says it accepts insurance across all 50 states and offers care free to veterans permanently. Coverage, provider availability and the patient's actual costs depend on the current care process. Those details matter because insurance participation changes who can consider the service and introduces its own administrative work alongside clinical delivery.
The founders' earlier businesses help explain why that work belongs in the plan. Journey Clinical and Nurx gave Sabbagh and Engesaeth experience building services around access to care. Their previous companies' patient totals and financial figures are historical context for the founders, rather than measures of Siggy's performance. Siggy's own revenue, patient count and retention remain undisclosed in the sources reviewed.
The competitive frame is consequently broader than conversational software. A patient considering Siggy is deciding how to obtain psychiatric care, how to pay for it and how to communicate changes between appointments. A clinician is deciding whether the information presented makes the next decision easier to understand. Both relationships need attention as the service grows.
A payer-supported model also gives the company a different product brief from a tool sold entirely outside clinical care. Software, provider staffing and coverage administration have to remain coordinated around the same patient. Funding an engineering team without giving the care operation enough capacity would leave part of that promise waiting in an inbox.
Patient memory becomes an operating responsibility
Siggy's privacy policy, updated November 4, distinguishes Sigmind, Inc., which operates the technology, from affiliated medical groups providing care. It describes permission-based AI processing through Amazon Bedrock and explains how patient information and clinician-reviewed context may be used. These are the company's stated practices, rather than an independent security certification.
The policy also makes clear that AI interactions can become part of a care record. For operators, persistent context brings practical questions about consent, access and the information a clinician sees when making a decision. A longer conversation history has value when the right person can understand it and use it appropriately.
Siggy's launch materials describe intended benefits from closer follow-up, but they do not establish a demonstrated clinical outcome for this new service. Its early operating record will have to show how patients use the check-ins and how clinicians handle what arrives. Clinical review is part of the service being built with the pre-seed funding, along with the software patients encounter first.
Sabbagh's original reference point remains unusually personal: being able to reach someone who knew his history. Siggy is attempting to make that continuity available through a staffed, insured service. Each day's account of sleep, mood or medication adds another piece of history for Montville's clinical team to carry into the next conversation.
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Frequently Asked Questions
How does Siggy use AI without delegating treatment decisions?
Siggy uses AI to gather patient history and organize information from check-ins for clinician review. Licensed clinicians make diagnoses, prescribe medication and decide on treatment changes.
What does the Siggy Score measure?
Siggy describes the score as a number out of 100 showing changes against a patient's own baseline. It is a directional measure for the patient and care team, rather than a diagnosis.
What will the pre-seed funding support?
The founders told Crunchbase News that the $6M round will support clinician and engineer hiring, software development and regulatory work. It is the first outside funding reported for Siggy.
How does insurance fit Siggy’s service?
Siggy says it accepts insurance across all 50 states and offers care free to veterans permanently. Actual coverage, costs and provider availability depend on the current care process.
What remains unknown about Siggy’s early performance?
The reviewed launch sources do not disclose Siggy’s patient count, revenue, retention or valuation. They describe intended benefits from closer follow-up rather than independently demonstrated clinical outcomes for the new service.
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