DeepGuide
AI copilot for psychedelic therapy that keeps facilitators present, captures structured notes, recommends the right exercise at the right moment, brings trained backup when a trip turns difficult, and turns outcomes into evolving best practices.
A facilitator is fully with the client instead of half in the room and half in documentation. A clinic gets cleaner records, faster learning loops, and a safer way to handle hard turns. A training program gets a living map of what actually works, for whom, in which state, under which conditions.
Structural Deficit
Americans currently living in officially designated mental-health professional shortage areas. Scaling capacity isn't optional; it's necessary infrastructure.
High stakes, manual workflows,
and unmapped territory.
Psychedelic therapy is young. Best practices are still being discovered. Facilitators juggle presence, note-taking, protocol recall, and safety. Difficult experiences are not rare in naturalistic use, which raises the need for real-time de-escalation and expert backup.
Regulators and professional groups are pushing toward clearer documentation and safety standards, which many clinics cannot meet with manual workflows.
Uncover and spread
best practices faster.
DeepGuide learns each facilitator's style and leans into it. Every suggestion links to sources and to de-identified prior outcomes.
Preparation
Values clarification. Parts mapping. Intention priming. Set and setting checklist. Music and sensory plans. Breath ladders.
In-session
Context-aware prompts: observer-self reframing, safe-container imagery, somatic pendulation, coherence breathing pacing, and time-perspective shifting.
Integration
Narrative reconstruction, commitment contracts, tiny-habit plans, relapse-prevention cues, social-support scripts, structured meaning-making.
Presence Engine
Live transcription, semantic tagging, outcome tracking. The facilitator stays eyes on the client while DeepGuide builds the structured record.
Safety Net
If distress thresholds are crossed, one-click invite brings a certified remote specialist into the session with instant context. Included in the subscription under fair-use. Rapid expert backup reduces risk and time to stabilization.
Severe shortages meet
capable intelligence.
Neglectedness
Market
The U.S. behavioral health market is projected to grow from about $92.1B in 2025 to $132.5B by 2032. Ketamine clinic revenues are growing at double-digit compound annual growth rates. Psychedelic-assisted care can take share from standard services and convert untreated need into active care.
The category will move from artisanal practice to software-supported care, then to continuously learning care. The winner is the intelligence layer that sits between session data, clinical judgment, safety protocols, and outcome improvement.
Why Now
Provider shortages are severe. Only about half of adults with mental illness receive care in a given year. The FDA's publication of the MDMA Complete Response Letter spotlights documentation quality and bias control as approval-gate criteria.
Voice models, structured transcription, and retrieval systems are now good enough to be useful inside a human-led session. The regulatory climate is clarifying the shape of the problem.
Who we serve and
how we grow.
Ideal Customer Profile
- Primary customerIndependent facilitators and clinics that want presence, evidence-linked recommendations, and built-in safety with expert backup.
- Future researchersTraining programs and academic labs needing standardized, de-identified datasets for protocol benchmarking.
- IndividualsA legal, guided self-facilitation companion for preparation and integration.
Business Model
Per-seat SaaS pricing for facilitators and multi-seat licenses for clinics. Research licensing for de-identified datasets and analytics. Safety net included with fair-use thresholds.
Value flows cleanly: facilitators get presence; clinics get better documentation; researchers get standardized data.
Unique Go-To-Market
Legal Operators First
The sharpest wedge is legal psychedelic-adjacent care (e.g., ketamine clinics, high-end facilitators) who already feel the pain of charting, supervision, and safety variance. They buy first because it improves perceived quality & safety immediately.
The Viral Loop
Each clinic gets private reports showing integration adherence and outcome deltas against cohort baselines. Facilitators naturally want to compare, improve, and share proof of better practice. Product seeds itself via "best-practice replay" libraries.
Moat and Defensibility.
Difficulty to Bring to Market
This is buildable now, but it lives in a high-trust, safety-sensitive, still-evolving category where product quality, legal boundaries, and professional credibility all matter.
Moat Potential
The core moat is a permissioned, longitudinal, outcomes-linked modality graph built from real sessions across preparation, session, and integration.
The enduring advantage is
a permissioned dataset.
Humans will remain central for trust, attunement, and meaning. The enduring advantage is a longitudinal dataset that maps subjective states to interventions and outcomes.
AGI Roadmap
Future roadmap: agentic preparation plans, supervision copilots for facilitator training, safety-monitoring layers for hybrid in-person and remote care, and research copilots that surface candidate best practices from de-identified data faster than conventional literature cycles.
First Experiment
View Initial Validation Pilot
Quick falsifiable hypothesis: If 10 legal-care facilitators use DeepGuide for 100 sessions, then at least 70% will report that it reduces documentation burden without meaningfully reducing felt presence, and at least 50% will want to continue using it after the pilot.
Build the narrowest version around live transcription, structured notes, post-session summaries, and a lightweight prompt library. Do not start with autonomous in-session recommendations unless users ask for them after seeing value in the workflow layer.
Civilizational Impact.
Mental health infrastructure is civilization infrastructure. If psychedelic therapies work for a meaningful subset of depression, trauma, addiction, and existential distress, then the bottleneck shifts from molecule discovery to safe, scalable delivery. DeepGuide directly attacks that bottleneck.
The upside is larger than clinic software. A trusted intelligence layer for high-variance healing work could accelerate protocol discovery, reduce preventable harm, and make one of the most promising therapeutic categories more legible to institutions.
63Impact Score
Key Performance Indicators
- ✓ Weekly active facilitators
- ✓ Sessions run through live mode / month
- ✓ Average documentation time saved
- ✓ Recommendation acceptance rate
- ✓ Distress-escalation response time
- ✓ Clinic retention after 90 days
Open Source Priority
Transferable Insight
"In high-trust human services, the first winning artificial intelligence product usually does not replace judgment. It makes judgment more legible, more consistent, and easier to improve. Documentation and safety are often the wedge that unlocks the data moat."
References & Sources
HRSA Data →
PubMed →
Psychiatric Times →
BrainFutures →
NIMH →
Valuation Forecast
Probability that the category leader in this space reaches at least each valuation threshold.
AI Rationale
Psychedelic therapy copilot SaaS faces profound regulatory friction, FDA scheduling uncertainties, and slow clinical adoption cycles. The AGI Futures forecaster model severely penalizes near-term hyper-growth, capping the valuation trajectory until federal rescheduling unlocks mass market clinical deployment.
Implied Valuation Distribution (2030)
While the chart below displays cumulative probability, these boxes break down the exact probability of landing specifically within each valuation band.
Builder Proof-of-Work
Community submitted artifacts, notes, and implementations for this idea.