Mental healthcare is often designed to respond after a person has already developed serious symptoms, but Nigerian startup FriendnPal is attempting to change that model by using artificial intelligence to identify potential mental health risks earlier.
Founded in 2023 by Esther Eruchie following her personal experience with mental health and the loss of her mother to depression. FriendnPal is developing an AI-powered behavioural health intelligence and remote patient monitoring platform that combines behavioural analytics, digital assessments, risk detection and human clinical intervention.
“Globally, mental healthcare is largely reactive,” Eruchie said, explaining that the startup wants to build “the infrastructure to make care continuous, predictive and preventive.”
The platform has reportedly reached almost 90,000 people, completed more than 60,000 assessments and generated over US$100,000 in revenue.
What to Know About FriendnPal
FriendnPal is a Nigerian health technology startup founded in 2023 by Esther Eruchie. The company began primarily as a digital platform providing mental health support to individuals but has expanded its ambition into what it describes as behavioural health infrastructure.
Its technology combines artificial intelligence, behavioural analytics, digital phenotyping, clinical assessments, risk stratification, remote patient monitoring and human clinical triage.
The platform can be accessed through mobile devices, the web, voice and WhatsApp, while supporting more than 50 languages.
FriendnPal is also shifting towards a B2B and B2B2C model, meaning it can provide its technology and services to healthcare providers, companies, universities, governments, research institutions and other organisations.
Eruchie says the startup is “not simply building another chatbot or therapy marketplace,” but infrastructure that can help identify changing risks and support earlier intervention.
How FriendnPal Works
At its core, FriendnPal is designed to identify changes in an individual’s behavioural and psychological patterns over time.
So, instead of relying only on a single consultation or mental health screening, the platform combines behavioural signals with clinical assessments and contextual information to create a more continuous picture of a person’s wellbeing.
Its artificial intelligence can identify patterns that may indicate increasing psychological risk, after which users can be directed towards licensed mental health professionals for further assessment and intervention.
This approach is described by FriendnPal as a human-in-the-loop model because AI supports, rather than replaces, clinicians.
“Our AI identifies patterns and risk signals,” Eruchie said. “Where risk is detected, users can be triaged to licensed mental health professionals.”
The company’s approach therefore combines automated detection with human judgement and professional care.
The Problem FriendnPal is Trying to Solve
FriendnPal is targeting a major weakness in conventional mental healthcare, that’s, the limited ability of healthcare systems to observe what happens between appointments.
A patient may see a professional during an assessment or crisis, but significant changes in their mental wellbeing can occur days or weeks before their next interaction with the healthcare system.
According to Eruchie, “Most healthcare systems only see a patient’s mental health at isolated points, such as during an appointment, screening or crisis.”
FriendnPal’s model is designed to address that gap by monitoring behavioural signals over time.
The company is also targeting wider barriers affecting access to mental healthcare in emerging markets, including affordability, language, geography and connectivity.
By making its platform available through mobile, web, voice and WhatsApp, FriendnPal is seeking to provide more accessible channels for mental health support while enabling professionals to identify risks earlier.
From Mental Health App to Healthcare Infrastructure
One of the most significant developments in FriendnPal’s journey is its transition from a primarily direct-to-consumer service towards a broader B2B and B2B2C infrastructure model.
The company says it is increasingly receiving interest from healthcare providers, employers, universities, governments, research institutions and international organisations seeking tools for early identification, remote monitoring and scalable behavioural health support.
Its reported user base already extends beyond Nigeria to South Africa, Kenya, Japan, Germany, the United States and the United Kingdom, while the startup plans to deepen its African presence and expand further into Europe.
“Uptake has grown from direct consumer adoption into institutional and international demand,” Eruchie said.
The shift means FriendnPal is increasingly positioning its technology as something organisations can integrate into existing healthcare, workplace, educational and community support systems.
Traction, Revenue and Business Model
Despite being self-funded so far, FriendnPal says it has achieved significant early traction. The startup reports that it has reached almost 90,000 people and completed more than 60,000 behavioural and clinical assessments.
Within those assessments, it says almost 1,500 suicide-risk cases were intercepted and supported through intervention pathways. The company has also generated more than US$100,000 in revenue.
FriendnPal operates a freemium and B2B/B2C model, generating individual revenue through paid therapy sessions, subscriptions, therapy packages and premium mental health services.
For organisations, its revenue streams include employee assistance programmes, institutional deployments, implementation fees, API licensing, remote patient monitoring and behavioural analytics.
According to Eruchie, the startup’s early consumer adoption demonstrated that people were willing to use digital channels for mental health support, while its current focus is proving that its behavioural intelligence infrastructure can create value for larger organisations.
The Bigger Vision for Mental Healthcare
FriendnPal’s broader ambition is to contribute to a shift from crisis-driven mental healthcare towards a more preventive and continuous system.
Rather than waiting for people to become severely symptomatic before they seek professional assistance, the startup wants technology to help identify concerning changes earlier and create opportunities for intervention.
Its model reflects the growing use of digital technologies to support healthcare delivery, particularly in environments where professional resources are limited or difficult to access.
“This enables a shift from reactive to predictive, crisis intervention to early intervention, and periodic assessment to continuous monitoring,” Eruchie said.
FriendnPal believes this approach could become increasingly relevant as healthcare systems move towards preventive, personalised and digitally enabled care.
Its challenge now will be to demonstrate that its technology can scale responsibly across different countries and healthcare systems while maintaining appropriate human oversight, privacy and clinical safeguards.
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