The power of AI-native mental health care
Mental health care should be lifelong.
Spring Health is built for that.
Supporting over 20 million covered lives globally
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Why AI-native mental health matters
Employers do not need another disconnected mental health point solution. They need a benefit that helps employees and their families get to the right care faster, stay engaged, and see measurable progress.
An AI-native mental health platform makes that possible by connecting the parts of care that usually sit apart: each member’s needs, the provider network, the care plan, clinical measurement, and employer reporting.
For employers, that means:
- Faster connection to care
More precise provider matching
More continuous support for employees and their families
Clearer visibility into outcomes
Stronger cost defensibility
Greater confidence that AI is being used with clinical oversight
Among Spring Health customers
Fast access to the right care means more people get better, faster.
<1 day
92%
52%
Spring Health was built on AI from the beginning
Spring Health was founded in 2016 as an AI company, not as a therapy network or employee assistance program that later adopted AI. AI-native means AI is built into the care model, not added as a feature on top of it.
For Spring Health, AI helps:
- Match members to the right provider and level of care
Guide members to the next best step as their needs change
Support more continuous care across life, work, location, and clinical needs
Strengthen measurement, engagement, and outcomes reporting
Apply mental health-specific safety standards, clinical oversight, and human care
Precision Mental Healthcare: Matching people to the right care
Mental health isn’t one-size-fits-all.
Spring Health’s Precision Mental Healthcare approach uses data and clinical insight to help match each person to the provider and care approach most likely to help them. It reduces trial and error, helps members get support faster, and gives care teams a clearer picture of what each person needs.
Precision Mental Healthcare was the first capability Spring Health’s AI-native architecture enabled. AI is not new to Spring Health. It has shaped how Spring Health delivers care from the beginning.
AI-native vs. AI-enabled
An AI-native solution is built to deliver care continuously, from provider matching and guidance to safety and measurement in a single, unified experience that's constantly learning. Traditional mental health platforms with AI features are able to improve care, but only through isolated tasks, while the care journey mostly stays the same.
AI-native care
AI-enabled care
Guide: The AI that makes care continuous
Guide is Spring Health's AI that supports people across every stage of their mental health journey. Guide helps members:
Guide is not a chatbot, an AI assistant, or a replacement for human care. It is the AI layer at the center of Spring Health’s platform, designed to help care continue instead of reset.
Setting the standard for responsible mental health AI
In mental health, AI has to do more than deliver useful answers. It has to recognize risk, support human care, protect privacy, and operate within clinical boundaries.
Spring Health builds AI with:
That is why Spring Health co-developed and open-sourced VERA-MH, the first clinically grounded AI safety benchmark for mental health. VERA-MH evaluates AI conversations across five clinically defined dimensions.
Confidence in the power of AI
2025 Spring Health research participant study results
95%
~70%
0
Keep reading about AI and
mental health
Spring Health Coaching: Meeting Employees Right Where They Are
A Closer Look at Care Navigation: Bridging the Gap to Mental Healthcare for Employees
EAPs: How Innovative Solutions Stack Up Against Traditional Ones
Why investing in employee mental health benefits pays off
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Frequently asked questions
Common questions about AI-native mental health care
An AI-native mental health company builds AI into the foundation of its platform, care model, safety standards, and outcomes measurement. Spring Health is an AI-native mental health platform because AI supports how members find care, stay engaged, and build progress over time.
AI can be effectively used in mental healthcare when it supports clinical care, improves access, personalizes recommendations, strengthens provider matching, and helps identify the right next step. It should be paired with human oversight and mental health-specific safety standards.
Spring Health was founded in 2016 as an AI company. AI is part of the platform’s foundation, not a feature added later. It supports care navigation, provider matching, engagement, measurement, Guide, and the responsible AI infrastructure behind VERA-MH.
AI can improve mental health outcomes by helping employees reach the right care faster, receive more personalized support, and stay engaged as their needs change. Spring Health reports that 92 percent of members reliably improved or recovered from depression or anxiety.
An AI-native mental health company uses AI to shape the care journey itself. A traditional model may use AI for isolated tasks, but the underlying care experience can remain episodic. In an AI-native model, care can become more continuous, adaptive, and measurable.
AI can improve employee mental health benefits by making care easier to access, more personalized, and easier to measure. For employers, that can mean stronger engagement, better outcomes visibility, and greater cost defensibility.
Yes. AI can help match employees to the right mental health care when it is paired with clinical insight and provider network data.
Spring Health’s Precision Mental Healthcare approach uses data and clinical insight to help match each person to the provider and care approach most likely to help them.
AI can help personalize mental health treatment by using information about a member’s needs, preferences, progress, and care history to guide recommendations. At Spring Health, AI supports personalized care plans, provider matching, and ongoing engagement.
Spring Health is AI-native. We are AI-native, not AI-enabled. AI is the foundation, not a feature we bolted on.
Guide is Spring Health's AI that supports people across every stage of their mental health journey. Guide helps members find the right care, stay engaged, and build progress that lasts.
VERA-MH is the first open-source AI safety benchmark for mental health. Spring Health co-developed and open-sourced VERA-MH to help evaluate mental health AI against clinically grounded safety standards.
Spring Health uses AI responsibly by pairing AI with clinical oversight, human care, privacy and consent standards, and mental health-specific safety evaluation. AI supports the care experience. It does not replace providers or clinical judgment.