The solution of Mindfulness is in Tech?

Today, 1 in 5 people have a diagnosable mental illness, and 1 in 20 people have difficulty leading their everyday lives due to mental illness.

“Good health is very important for our personal well-being, and it affects directly or indirectly our productivity, relationships, and our overall health. “

That’s why I am personally very passionate about this space. I won’t say I have been depressed in the past or present but I do have many down moments in my life, especially when I lost my dad in September 2016, believe me, it was a very tough time for me personally and still is. It’s not just about taking care of yourself when you are mentally ill but taking care of yourself on an everyday basis so as to nourish your mental health with positivity, self-love, and self-care.

I intend to cover the global mental health landscape in this blog, to talk about various technology, products, and investment trends.

What are some product themes emerging in this space?

Computerized Cognitive Behavioral Therapy (CCBT): Leveraging mobile interfaces to create self-care behavioral change programs instead of pills to cure mental illnesses. While most of these startups go directly to consumers, some use enterprises as a channel for employees or focus on empowering therapists with better treatment.

  • E.g. of companies: Headspace, Calm, Akili, Cureapp, Happify
  • Percentage of companies (in comparison to overall companies in this space): 33%
  • Average funding amount/startup: $5.8m
  • Key business models: Freemium or SaaS

Tele-psychiatry: Startups providing therapists with a communication interface to connect with patients digitally, or creating an independent digital practice from scratch.

  • E.g. of companies: Lyra, Ableto, Talkspace, Ginger, IESO
  • Percentage of companies: 16%
  • Average funding amount/startup: $6.7m
  • Key business models: SaaS

Provider Tools: Building a new generation of software to help in the operational efficiency of therapists, or empowering interoperability between practitioners and other key stakeholders of the medical ecosystem.

  • E.g. Quartet Health, Valant, Mindstrong, CMHC Systems, Inflexxion
  • Percentage of companies: 15%
  • Average funding amount/startup: $5.7m
  • Key business models: Enterprise sales

Consumer Tools: Building non-therapeutic mobile products to either enable patients to set daily personal goals, facilitate communication between patients and other peers through vertical networks, or create educational content on the space.

  • E.g. Thrive Global, Huddle, WeConnect, Webpsychology, Circles
  • Percentage of companies: 13%
  • Average funding amount/startup: $1.8m
  • Key business models: Freemium

Hardware: Using connected hardware — whether it is a VR headset, an intelligent wristband, or any kind sensor-enabled device — to capture biometric data and help patients or therapists with monitoring, or build more immersive therapeutic content. E.g. YBrain, Pivot, Rendever, Find Me, Neuroflow

  • Percentage of companies: 12%
  • Average funding amount/startup: $1.1m
  • Key business models: SaaS

Applied AI: Using techniques such as conversational intelligence, predictive analytics, or machine learning at the core of the product to provide a more personalized and efficient approach to prevention, treatment or diagnosis.

  • Neurotrack, Mequilibrium, Cognoa, Woebot, Shine
  • Percentage of companies: 11%
  • Average funding amount/startup: $3.8m
  • Key business models: SaaS

Where is the money is going in mental health, wellness, and mindfulness?

Over $918.9 million was invested in 84 Cognitive Learning companies in 2017. Over half (50) of the companies were consumer companies, yet 29 corporate facing Cognitive Learning suppliers garnered investments. Five PreK-12 Cognitive Learning companies were also funded. E.g.

  • Happify (raised 9 million USD in 2017), Thrive global (raised 30 million USD, their mission is to end the stress and burnout epidemic by offering companies sustainable, science-based solutions to enhance well-being, performance, and purpose),
  • Catalia Health (raised 6.6 million USD, they sell a small conversation robot called Mabu designed to provide decision support and emotional support to the elderly
  • MyBrainsolutions (raised 20 million USD), has four brain health products to corporations: Mindfulness Meditation, Happy Seeker, Thought Tamer (Cognitive Behavior Therapy), and Memory Maze (working memory). They license brain health products to clinics for ADHD, addiction, and depression.
  • Kinedu in Mexico raised $1.1 million, sell a product that delivers early childhood learning content based on the cognitive abilities of the child. Parents enter information in the app about the child’s development stage and the app adapts to the individual child.
  • raised $20 million, a hybrid AI-based and Cognitive Learning product, sells an AI platform that trolls through massive amounts of audio content in customer relationship management systems in real-time and has the ability to identify emotional states.
  • Calm (has raised 27 million USD)
  • Shine (has raised 5 million USD)
  • Headspace (has raised 75 million USD to date and has 18 million downloads)
  • 70% of equity deals with mental health & wellness startups have gone to companies in the United States. The UK comes in 2nd with 6%, followed by India at 5% of all deals.
  • Seed/Series A rounds represent the large majority of global deal-flow, taking 65% in 2016 and 73% in 2017
  • Sparse Exits: Exits in the mental health & wellness technology space have been limited. 2015 saw a high of 7 M&A deals while 2017 has seen 1.

This is a very interesting time for mental health ventures, as more and more investors are looking at this space, not just purely from an interesting new investment asset class but also from the perspective of profit with purpose by solving a real pain problem that we as a society suffer from.


Click to access Metaari_s-Analysis-of-the-2017-Global-Learning-Technology-Investment-Pat27238.pdf

Click to access ibis-study-on-corporate-wellness-programs.pdf


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