Blossom Health raises $20 million to put AI copilots alongside psychiatrists


Blossom Health, a New York-based telepsychiatry startup founded in 2024, has raised $20 million in combined seed and Series A funding to scale an AI-powered platform that pairs psychiatrists with clinical copilots and automated administrative support. The round was led by Headline, whose co-founder and managing partner Mathias Schilling is joining the company’s board. Village Global and TA Ventures returned from earlier rounds, with Operator Partners and Correlation Ventures joining as new institutional backers alongside angel investors including founders from General Catalyst, Flatiron Health, Sword Health, and Zip.

The company, founded by CEO John Zhao, is built around a specific premise: that the bottleneck in psychiatric care is not a shortage of clinical knowledge but a shortage of time. Psychiatrists in the United States spend roughly half their working hours on non-clinical tasks, including documentation, billing, insurance authorisation, and scheduling. Blossom’s platform automates much of this through a network of AI agents that handle billing, reception, care coordination, and medical scribing, while a separate set of clinical copilots assist with symptom evaluation, diagnosis refinement, and medication selection during patient encounters.

The scale of the problem

The psychiatric workforce shortage in the United States is severe and worsening. More than 122 million Americans live in federally designated mental health professional shortage areas, according to the Health Resources and Services Administration. The national psychiatrist-to-population ratio stands at one provider for every 5,058 residents. Roughly 60 per cent of practising psychiatrists are 55 or older, meaning a significant portion of the existing workforce will retire within the next decade. Wait times for an initial psychiatric appointment range from three weeks to six months depending on location, and in many rural counties there are no psychiatrists at all.

This gap has created a market. US digital health startups raised $14.2 billion in 2025, the highest total since 2022, with AI-powered companies accounting for 54 per cent of that funding. Within mental health specifically, Talkiatry, an in-network telepsychiatry platform, raised $210 million in February 2026. Spring Health, which uses AI for personalised treatment recommendations, is valued at $3.3 billion. Ambient clinical scribes, the category of AI that automatically generates notes from patient conversations, produced $600 million in revenue last year alone.

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Blossom is small by comparison. The company says its tools are used by hundreds of clinicians treating more than 10,000 patients across multiple US states. Most patients are seen within 48 hours, with many receiving same-day appointments. Blossom accepts all major commercial insurers, including Optum UnitedHealthcare, Aetna, Cigna Evernorth, and Blue Cross Blue Shield, with average copays of around $22.

Copilot, not replacement

The “copilot” framing is deliberate and important. Blossom is not building a therapy chatbot. Its AI tools sit alongside licensed psychiatrists during clinical encounters, surfacing relevant information, helping evaluate symptoms against diagnostic criteria, and suggesting medication adjustments based on the patient’s history and current presentation. The psychiatrist retains clinical authority over every decision.

Between appointments, the platform uses AI agents to maintain contact with patients through text-based check-ins on sleep, mood, medication adherence, and other indicators. Fortune reported that in the case of postpartum depression, for example, the system follows up with conversational prompts that surface warning signs and prepare information for clinicians ahead of the next visit. This approach converts what has traditionally been episodic care, where a patient sees a psychiatrist for 15 minutes every few months and is otherwise unsupported, into something closer to continuous monitoring.

The clinical claims are plausible but early. Blossom says it has demonstrated the ability to stabilise mental health conditions and prevent progression toward more intensive care, but the company has not published peer-reviewed clinical evidence. At 10,000 patients, the dataset is meaningful for a company this young but far too small to draw population-level conclusions about clinical efficacy.

The Cerebral cautionary tale

Any startup operating at the intersection of AI, telepsychiatry, and controlled substance prescribing inherits the reputational burden of what came before. Cerebral, the telemental health company that raised $300 million at a $4.8 billion valuation in 2022, became the subject of a Department of Justice investigation into its prescribing practices for controlled substances and paid a $7 million settlement to the Federal Trade Commission over allegations of misleading cancellation policies and data sharing. The company’s rapid growth, which prioritised patient volume over clinical rigour, damaged trust across the sector.

Blossom’s architecture is different in important ways. It works through licensed psychiatrists rather than nurse practitioners prescribing independently, and its AI tools are positioned as decision support rather than decision-makers. But the fundamental tension remains: scaling psychiatric care through technology requires maintaining clinical quality at volumes that a traditional practice model was never designed to handle. The AI copilot must be good enough to genuinely assist clinicians without introducing errors that a time-pressed psychiatrist might not catch, particularly in medication selection, where psychiatric pharmacology is notoriously complex and highly individual.

The $20 million will fund expansion into additional US states, new insurance partnerships, clinician recruitment, and continued research and development. For a company founded less than two years ago, treating over 10,000 patients with in-network insurance coverage is a notable operational achievement. Whether the clinical copilot meaningfully improves outcomes, or simply makes it faster to deliver care at the same quality, is the question the next round of funding will need to answer.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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