🧠 AI Psychologist
Bangladesh's vast mental-health treatment gap is addressable via supervised lay counsellors and digital triage
How AI Psychologist closes the loop
Person in distress → AI companion → Trained listener → Support & referral → Wellbeing
A 92% treatment gap
Mental-health need is enormous and almost entirely unmet — too few psychiatrists, too much stigma, too little money. The care that works (brief talking therapy) doesn't need a psychiatrist for every patient; it needs task-shifting done safely.
AI triage + trained lay counsellors
AI handles 24/7 first contact, screening and risk-flagging; trained lay counsellors deliver the brief talking therapy; a few clinical psychologists supervise many counsellors. Employers and institutions buy it as an EAP (employee assistance) — and that revenue funds a free/sliding-scale tier for the poor and rural. Most AI-transformed venture in the portfolio: the AI is what makes one supervisor + a lay counsellor safely serve a whole workforce.
AI-gated pod, sized honestly — free tier a funded line
One "pod" = one AI-supported lay counsellor plus shared clinical supervision. The high-margin engine is a B2B employer EAP (per-employee-per-month); a live direct-to-consumer subscription runs on the shipped app, and donor funding underwrites a free tier. AI triage keeps cost near-zero — the supervised human counsellor delivers the care.
How it makes money — and what it needs to close
The product is built & live (AI Psychologist). Needs a paid-conversion test (free→paid ≥ 2%) and a clinical safety / escalation protocol. Employer EAP is upside. This is monetisation, not building.
live D2C app (+ employer EAP)
B2B EAP (PEPM) → · institutional contracts · urban subscription · donor funds free tier
B2B EAP PEPM (high-margin, low-utilisation)
employers get workforce wellbeing (↓ absenteeism, ↑ productivity)
D2C subscriptions on the shipped app; +42k/pod with CHW tier
D2C subscriptions on the live AI Psychologist app (here today), plus +42k/pod from the lay-counsellor EAP tier (upside). Proof = free→paid ≥2%.
shipped — a paid-conversion test on the live app (employer EAP = upside)
Bangladesh's vast mental-health treatment gap is addressable via supervised lay counsellors and digital triage
MANAS + Friendship Bench RCTs; the AI companion app is live
92.3% untreated · $1T global cost, $4 returned per $1
The situation in Bangladesh
Bangladesh faces a profound mental-health crisis hidden in plain sight: the National Mental Health Survey 2018-2019 found 18.7% of adults live with a mental disorder, yet 92.3% of them receive no treatment at all 1. The system simply cannot reach them, with roughly 0.1–0.2 psychiatrists per 100,000 people against the WHO benchmark of one per 100,000 2, leaving an impossibly thin specialist workforce for a population of 170 million. Stigma compounds the scarcity, remaining a dominant barrier that keeps people from ever seeking help 5. The cost of this neglect is not only human but economic, as depression and anxiety drain an estimated US$1 trillion from the global economy each year through lost productivity 6 — while every US$1 invested in scaled-up treatment returns US$4 in better health and output 7.
Our pitch
AI Psychologist attacks the gap with task-shifting, an approach with strong trial evidence: Vikram Patel's MANAS trial in India 3 and Zimbabwe's Friendship Bench RCT 8 both showed that trained, supervised lay counsellors can effectively treat common mental disorders where specialists are scarce. AI Psychologist's wedge is a live consumer app whose AI triages users and routes them to these lay counsellors, all overseen by clinical psychologists — pairing a digital front door, shown across 80 RCTs to reduce depression and anxiety symptoms in low- and middle-income countries 4, with the human care that evidence says works. The private, app-based entry point is deliberately designed to bypass the stigma that stops face-to-face help-seeking 5, and an employer-funded tier underwrites access at scale. We are honest about the boundary: supervised lay-counselling and digital triage are well-evidenced, whereas fully autonomous AI therapy remains promising but unproven — early RCTs like Woebot show only short-term symptom reduction 9 — so AI Psychologist keeps AI as triage and support, not as a replacement for the human, supervised clinical core.
Built so the operator never fails
HelperChain doesn't hand out a loan and walk away. Every operator gets the full rail — inputs, training, finance, supervision, and a guaranteed buy-back of what they produce. We carry the risk so an ordinary person can succeed.
The tools, inputs and hands-on training to start — turning person in distress into a working operation. No prior capital or expertise required.
Pay-as-you-go, riba-free finance makes a poor person a funded operator — with no debt if a cycle fails. The network carries the downside, not the operator.
Ongoing follow-up and quality assurance — the factor peer-reviewed evidence shows decides whether ventures survive (p<0.001). The operator is never left alone.
We commit to purchase the output at a fair, pre-agreed price — so there is always a market. The operator just produces; we guarantee the offtake. This is what removes the fear of failure.
A thin margin funds the next operator — so help compounds and the network grows stronger with every person it lifts.
Sources (9)
- 1.WHO Bangladesh / NIMH (2019). First findings of the National Mental Health Survey. link
- 2.Hasan, M.T. et al. (2021). The current state of mental healthcare in Bangladesh: part 1. BJPsych International (Cambridge UP). link
- 3.Patel, V. et al. (2010). Lay health counsellor intervention for depression and anxiety (MANAS): a cluster RCT. The Lancet 376:2086-2095. link
- 4.Wu, Y. et al. (2023). Digital Mental Health Tools in LMICs: Systematic Review and Meta-analysis. JMIR Mental Health 10:e43066. link
- 5.Faruk, M.O. et al. (2023). Mental illness stigma in Bangladesh: a cross-sectional survey. Cambridge Prisms: Global Mental Health. link
- 6.World Health Organization (2025). Over a billion people living with mental health conditions — services require urgent scale-up. link
- 7.Chisholm, D. et al. (2016). Scaling-up treatment of depression and anxiety: a global return on investment analysis. Lancet Psychiatry 3(5):415-424. link
- 8.Chibanda, D. et al. (2016). Friendship Bench: a psychological intervention for common mental disorders in Zimbabwe — RCT. JAMA 316(24):2618-2626. link
- 9.Fitzpatrick, K.K., Darcy, A. & Vierhile, M. (2017). CBT via a conversational agent (Woebot): an RCT. JMIR Mental Health 4(2):e19. link