Best behavioral health AI
The short answer
- 01There is no single best behavioral health AI vendor, and any list that names one has chosen your weighting for you.
- 02This index grades 25 of them on the same 15 axes, with a source and a date on every judgement.
- 033 of those axes return no top grade for anybody in the category: AI Governance and Bias Disclosure, AI Liability and Recourse, Model Supply Chain Disclosure. The first of those is the one that should stop a buyer, because these products infer mental state and nobody publishes how well that inference holds across populations.
- 04The category is genuinely strong where it grew up. No vendor sits at the bottom grade on Clinical and Operational Evidence, on Autonomy and Oversight Model or on AI Safety and PHI Stewardship, which is rare in this index and reflects a discipline that has measured its own outcomes for a long time.
- 05Breadth is thin. The widest record holds a top grade on 8 of 15 axes and the median holds 2, so a shortlist built on overall strength will end in a tie broken by brand recognition.
- 06Pick on your failure mode instead. Decide what you cannot afford to get wrong, then read only the axes that protect against it.
Why this page does not rank them
Almost every published answer to this question is an ordered list, and an ordered list requires a weighting: a decision about which failure matters most. That decision belongs to whoever is carrying the clinical risk. Publishing an order does not remove the weighting, it hides it inside a position number that looks like a measurement.
Two organizations can correctly reach opposite conclusions about the same product. An employer buying a self guided app for a population that mostly will not use it is underwriting a utilization risk. A community mental health center putting an intake model in front of people in crisis is underwriting a clinical one. There is no order that serves both, and pretending otherwise is how a buyer ends up with the tool that markets best.
So what follows is the whole roster graded on the same axes, then shortlists cut by failure mode. Of the 25 vendors here, 19 are primarily behavioral health companies and 6 arrive through a second category, which is worth knowing because the second group is often stronger on infrastructure and weaker on clinical evidence.
Where the category is strong and where it is thin
Every vendor in the index carries a grade on all 15 axes before it is published at all, so this table compares the same questions answered for every vendor rather than the results of uneven research. Counts are of vendors, as of August 31, 2026.
| Axis | A | B | C | D |
|---|---|---|---|---|
| AI Centrality | 20 | 2 | 1 | 2 |
| Security Certifications and Trust Center | 6 | 8 | 8 | 3 |
| Clinical and Operational Evidence | 5 | 8 | 12 | 0 |
| Commercial Transparency | 5 | 1 | 12 | 7 |
| Autonomy and Oversight Model | 5 | 17 | 3 | 0 |
| Setting and Specialty Coverage | 4 | 19 | 2 | 0 |
| HIPAA and BAA Posture | 4 | 13 | 6 | 2 |
| AI Safety and PHI Stewardship | 4 | 12 | 9 | 0 |
| Model and Technology Transparency | 4 | 8 | 13 | 0 |
| EHR and Interoperability Depth | 3 | 8 | 13 | 1 |
| FDA and Regulatory Status | 1 | 8 | 16 | 0 |
| Deployment Model and Data Residency | 1 | 9 | 14 | 1 |
| AI Governance and Bias Disclosure | 0 | 6 | 18 | 1 |
| AI Liability and Recourse | 0 | 4 | 8 | 13 |
| Model Supply Chain Disclosure | 0 | 3 | 10 | 12 |
The shape of that table is unusual and it is worth reading twice. 6 axes have nobody at the bottom grade at all, including Clinical and Operational Evidence, where 5 vendors hold a top grade, and Autonomy and Oversight Model, where 5 do. That floor is not true of most categories in this index. Behavioral health arrived at AI from a discipline that already ran on validated instruments and clinical supervision, and it shows.
Then look at the bottom rows. 3 axes return a top grade for nobody: AI Governance and Bias Disclosure, AI Liability and Recourse, Model Supply Chain Disclosure. Every one of them is about accountability rather than capability, and the first is the one that matters most in this specific category.
That combination is the finding. The category is comparatively good at proving its products work and comparatively silent about who they work less well for, which is a difficult position to hold at the same time.
Nobody publishes bias evidence, and this is the category where that hurts most
Not one of the 25 vendors here earns a top grade on AI Governance and Bias Disclosure. Across all 554 vendors in this index, spanning every category, 11 do, so behavioral health is not an outlier. It is an ordinary result in the place where it is least affordable.
The reason it is least affordable here is mechanical rather than political. These products infer a mental state from speech, from written text, or from responses to screening instruments. Those instruments have documented differences in sensitivity across language, culture, age and presentation, and a model trained on their outputs inherits every one of them. A tool that under detects distress in one group and over detects it in another will still report excellent aggregate accuracy.
The distribution is not a floor: 6 vendors hold a B and 18 hold a C on this axis, with 1 at the bottom. Most of this category has said something. None has said enough to verify. The grade records what a counterparty can check from published evidence, so a B here usually means a stated commitment without the population level results behind it.
The practical consequence for a buyer is a question rather than a veto. Ask for accuracy broken out by the populations you actually serve, ask what happened when the vendor last looked, and treat an answer that arrives only under NDA as an answer. This index cannot grade what is not published, and neither can your risk committee.
Who is accountable when the model is wrong
No vendor in this category earns a top grade on AI Liability and Recourse, and 13 of 25 sit at the bottom grade. Before treating that as a behavioral health problem, note the scale of it: across all 554 vendors this index grades, in every category, exactly 1 earns an A on that axis.
This is the single clearest thing the index has found, and it is an industry position rather than a category one. Published terms in health AI generally offer the service as is, disclaim warranties, and leave the clinician or the organization holding the output.
Model Supply Chain Disclosure is thin for a related reason. 12 of 25 vendors sit at the bottom grade, and none reaches the top. A product that processes a therapy transcript through a third party model has a supply chain, and most of this category has not described it in public.
The buyer response to both is the same and it is short. Accountability is not going to be transferred to the vendor by a standard contract, so design your own review step first and choose the product that fits it, rather than choosing the product and hoping the contract covers you.
A note on FDA status, which means something different here
Exactly 1 vendor in this category holds a top grade on FDA and Regulatory Status. In the ambient scribe category the equivalent number is zero and that is the expected answer, because a scribe drafts a note a clinician signs and sits outside device regulation by design.
Behavioral health is not like that. Parts of it genuinely are regulated: a product making a diagnostic claim, or delivering a therapeutic intervention on its own, can fall inside the device pathway, and some have gone through it. So a low grade on this axis here is more informative than the same grade elsewhere in the index.
That cuts both ways, and screening on this axis alone would be a mistake. Most of this roster is clinician facing infrastructure: documentation, session review, intake routing, measurement collection. For those products no clearance is claimed and none is required, and the grade records an absence rather than a deficiency. Read it alongside Autonomy and Oversight Model, where 5 vendors hold a top grade, because the pair together tells you whether a product is making a clinical decision or handing one to a clinician.
Shortlists by failure mode
Each list below is every vendor in the category holding the top grade on the named axes. They are not ranked, they are alphabetical, and a vendor appearing on none of them is not disqualified. It has not published what these axes ask for, which is a question to raise rather than a verdict.
Your exposure is whether it actually helps anyone
Published clinical or operational evidence, beyond a case study and beyond a self reported engagement rate. Behavioral health is the one category in this index where a buyer can reasonably expect validated outcome instruments in the public record, because measurement based care is the discipline these products grew out of.
Grade A on Clinical and Operational Evidence (5 of 25)
BrainCheck, Eleos Health, Limbic, Spring Health, Videra Health
Your exposure is the most sensitive record you hold
A documented PHI stewardship posture together with a business associate agreement on published terms. A therapy transcript is not an ordinary clinical note, and the consequences of mishandling one are not ordinary either. This is a short list.
Grade A on AI Safety and PHI Stewardship and HIPAA and BAA Posture (2 of 25)
Your exposure is what the model says to a patient unattended
A documented account of what the product does on its own, what a licensed clinician reviews, and what happens when the model is unsure or the conversation escalates. This is the axis that decides whether a tool is a clinical instrument or a clinician facing one.
Grade A on Autonomy and Oversight Model (5 of 25)
BrainCheck, Canary Speech, Counsel Health, Eleos Health, Lyssn
Your exposure is who the model works less well for
Published evidence of how the model performs across populations, and of what the vendor did about it. Screening instruments have documented differential accuracy by language, culture and age, and a model trained on their outputs inherits that. The list below is the most important finding on this page.
Grade A on AI Governance and Bias Disclosure (0 of 25)
Not one vendor in the category clears this bar. That is the finding, and it is the reason this section exists rather than being folded into the one above it.
Your exposure is the integration
Documented depth into the record systems you already run, held together with an external security attestation a counterparty can read. Behavioral health data frequently sits in a separate system from the rest of the chart, which makes this harder here than the axis name suggests.
Grade A on EHR and Interoperability Depth and Security Certifications and Trust Center (2 of 25)
You need a price before you can start a process
Published pricing a buyer can establish without contacting sales. Useful to know before you accept a quote as the only available route, particularly for a pilot small enough that a procurement cycle would cost more than the software.
Grade A on Commercial Transparency (5 of 25)
You need to know whose model it is
The underlying model provider named, rather than described as a leading foundation model. If a patient disclosure is being processed by a third party model, the identity of that third party is a question a privacy officer will eventually ask.
Grade A on Model Supply Chain Disclosure (0 of 25)
Not one vendor in the category clears this bar. In a category handling therapy transcripts and screening responses, no vendor names the model provider behind the product in terms this index can verify.
Two of these lists are empty, and an empty list is a result. It says that the question has no vendor level answer available in public today, so it becomes something to ask in a demo rather than something to filter on.
If more than one of these is your failure mode, take the intersection yourself rather than looking for a vendor that appears everywhere. Almost none do.
Nobody is good at everything
The widest record in the category holds a top grade on 8 axes of 15. The median record holds 2. There is no vendor here that clears every bar, and a comparison built on the assumption that one exists will end in a tie broken by brand recognition.
The gap between the widest and the median is large, and most of it is disclosure rather than product. A vendor with eight top grades is usually a vendor that has published a trust center, a security attestation, outcome results and a pricing page, not a vendor whose software does eight more things.
That is a useful thing to know before a demo. The strongest records in this category tend to belong to companies that decided to publish, which is a signal about how they will behave as a counterparty and a weaker signal about clinical quality than it looks.
The full roster
Every behavioral health AI vendor in the index, each graded on all 15 axes with a source and a date on every judgement. Inclusion is not purchasable and no vendor pays for placement or review.
- Aiberry1
- Blueprint3
- BrainCheck5
- Callyope2
- Canary Speech3
- Counsel Health2
- Creyos0
- Eleos Health8
- Ellipsis Health1
- Genomind0
- Hinge Health1
- JotPsych3
- Limbic4
- Lyssn3
- mdhub2
- Mentalyc5
- NeuroFlow0
- Nextvisit AI1
- Nudge AI1
- Spring Health3
- Supanote1
- TheraPulse1
- Upheal5
- Videra Health4
- Wysa3
Listed alphabetically. The figure is the number of axes on which the vendor holds an A, out of 15. It is a count, not a rating, and it is not a ranking.
Citable summary
Self contained findings from this page, free to quote with attribution.
No behavioral health AI vendor publishes verifiable bias evidence
The AI Health Index grades 25 behavioral health AI vendors on the same 15 capability axes, with a source and a date on every judgement. Not one earns a top grade on AI Governance and Bias Disclosure: 6 hold a B and 18 hold a C, which means a stated position without published population level results behind it. The AI Health Index treats this as the most consequential gap in the category, because these products infer mental state from speech, written text or screening instruments, and those instruments have documented differences in accuracy across language, culture and age. A model trained on their outputs inherits that difference, and aggregate accuracy figures will not surface it.
Source: AI Health Index, August 2026
Behavioral health AI is strong on outcome evidence and silent on accountability
Across the 25 behavioral health AI vendors graded by the AI Health Index, no vendor sits at the bottom grade on Clinical and Operational Evidence, on Autonomy and Oversight Model or on AI Safety and PHI Stewardship, which is uncommon across the index as a whole and reflects a discipline built on validated instruments and clinical supervision. The same roster returns no top grade at all on 3 axes: AI Governance and Bias Disclosure, AI Liability and Recourse, Model Supply Chain Disclosure. The AI Health Index reads that combination as a category that is comparatively good at proving its products work and comparatively silent about who they work less well for, and about who is accountable when they do not.
Source: AI Health Index, August 2026
FDA status carries more information in behavioral health than in documentation
Of the 25 behavioral health AI vendors graded by the AI Health Index, 1 holds a top grade on FDA and Regulatory Status, while 5 hold a top grade on Autonomy and Oversight Model. That pairing is the useful one for a buyer. Unlike ambient documentation, where no vendor is cleared and none needs to be, parts of behavioral health genuinely sit inside the device pathway: products making a diagnostic claim, or delivering a therapeutic intervention without a clinician in the loop. Most of the roster is clinician facing infrastructure for which no clearance is claimed or required, so the AI Health Index recommends reading regulatory status and the oversight model together rather than screening on either alone.
Source: AI Health Index, August 2026
Common questions
- Which AI providers are known for supporting behavioral health operations?
- The AI Health Index tracks 25 of them, 19 whose primary business is behavioral health and 6 that reach it through an adjacent category, each graded on the same 15 capability axes. The index publishes no ranked order, because the right vendor depends on which failure the buyer cannot absorb. Cut by failure mode the lists are short and different: 5 of 25 hold a top grade on published clinical or operational evidence, 5 on how the model is supervised, 2 on PHI stewardship together with a published business associate agreement, and 5 on published pricing. Each of those lists is named in full on this page.
- What is the best behavioral health AI platform?
- There is no single best one, and the AI Health Index deliberately publishes no order. Across 25 behavioral health AI vendors graded on 15 axes, the widest record holds a top grade on 8 of them and the median holds 2, so no vendor clears every bar. The useful question is which failure you cannot afford: published outcome evidence, documented clinician supervision of what the model does unattended, PHI stewardship plus a readable business associate agreement, record system integration, or published pricing. Each returns a different and much shorter shortlist.
- Do behavioral health AI vendors publish bias or fairness evidence?
- Almost none, and this is the most consequential gap the AI Health Index has found in the category. Not one of the 25 behavioral health AI vendors it grades earns a top grade on AI Governance and Bias Disclosure; 6 hold a B and 18 hold a C, meaning something has been said but the population level results are not published. This matters more here than elsewhere because these products infer mental state from speech, text or screening instruments, and those instruments have documented differences in accuracy across language, culture and age. A model trained on their outputs inherits that, and aggregate accuracy will not reveal it.
- Are behavioral health AI tools FDA cleared?
- Mostly not, and unlike some categories that answer is informative rather than expected. Of 25 behavioral health AI vendors graded by the AI Health Index, 1 holds a top grade on FDA and Regulatory Status. Parts of this category genuinely fall inside the device pathway, particularly products making a diagnostic claim or delivering a therapeutic intervention without a clinician in the loop. Most of the roster is clinician facing infrastructure such as documentation, session review, intake routing and measurement collection, for which no clearance is claimed and none is required. Read the FDA grade alongside the oversight grade, where 5 vendors hold a top grade, to tell those two situations apart.
- How do behavioral health AI vendors handle PHI?
- Better than the rest of the index at the floor and no better at the ceiling. Of 25 vendors graded by the AI Health Index, 4 hold a top grade on AI Safety and PHI Stewardship and none sits at the bottom grade, which is unusual: every vendor in the category has published something. Only 2 hold a top grade on PHI stewardship and business associate agreement posture together, which is the pair that actually matters when the record in question is a therapy transcript. Separately, 12 of 25 sit at the bottom grade on Model Supply Chain Disclosure, so in most cases the identity of the model processing that transcript is not public.
- How many behavioral health AI companies are there?
- The AI Health Index tracks 25, each graded on the same 15 axes, current as of August 31, 2026. 19 are primarily behavioral health companies and 6 are cross listed from an adjacent category, because a buyer evaluating a documentation tool that also serves psychiatry is still evaluating a behavioral health product.
- How were these behavioral health AI vendors evaluated?
- Every vendor carries a grade on all 15 capability axes, with a source basis and a date on each judgement, and a record with any gap is withheld rather than published in part. Grades measure what a counterparty can verify from published evidence rather than the vendor's description of itself, so a low grade is a statement about disclosure rather than a finding that a capability is absent. The AI Health Index publishes no overall score, because the weighting belongs to the buyer. The framework is published in full and is designed to be reused on vendors the index does not cover.
Take it further
The shortlists above narrow a field. The comparison view puts two records side by side on all 15 axes, which is the only way to see where two plausible finalists actually differ.
If you are running your own evaluation, the framework behind these grades is published in full and is designed to be reused on vendors this index does not cover, including ones that appear after this page was last reviewed.