ship real ai in mental health apps that actually work.
i'm lauren brendle, founder of archii. i build agentic ai systems and consumer health apps for startups who need to ship fast–then help you scale with enterprise strategy that drives recurring revenue.
about lauren
i'm lauren brendle, founder of archii–an experimental ai therapy lab. i combine psychology and statistics with hands-on ai engineering and product strategy.
before this, i worked at a suicide prevention hotline providing crisis intervention. most recently, i was a system development engineer at amazon working on fashion tech infrastructure.
i help teams go from idea to working product to enterprise contracts–focusing on measurable outcomes and thoughtful design.
track record:
shipped health pilots · built clinician tools · designed on-device ai · created gtm strategy for investors
projects
results over adjectives
result: full ai therapy chatbot with advanced prompting.
what we built: chatbot + ui + llm + rag.
stack: next.js, supabase, auth0, fastapi.
offers
productized, no fluff
ai/health audit – 10 days
map your system, identify opportunities with the highest impact, document compliance requirements, and get a clear roadmap for the next 90 days.
mvp sprint – 4–6 weeks
ship a working product: mobile app, web app, chatbot, ai-powered feature, or clinician dashboard. includes quality testing, analytics, and handoff documentation.
agentic ai pilot – 3–5 weeks
automate one critical workflow like risk detection, conversational ai, session notes, or care recommendations. includes safety testing, quality controls, and human oversight.
enterprise strategy – 2–4 weeks
identify target buyers, create your value proposition, build security documentation, design pricing, and create sales materials that close deals.
advisory retainer
ongoing guidance: weekly check-ins, monthly strategy updates, hiring support, vendor recommendations, and roadmap planning.
ask about availability →turn users into contracts
for consumer health startups ready to sell to enterprises
who buys health tech
employers · hospital systems · telehealth networks · universities · insurance companies
what they need to see
pilot framework · security documentation · clinical evidence · transparent pricing
typical timeline
initial meeting – 60-90 day pilot – measure outcomes – expand to full deployment.
design your enterprise strategy →technical capabilities
ai engineering
llm & agent design, prompt+tool use, safety/guardrails, retrieval, rag, knowledge graphs, lightweight finetunes.
backend
python, postgres, supabase, queues, auth/rbac, security.
web
next.js/react, tailwind, accessible ui systems, server actions.
mobile
swift/ios or react native/expo/both; secure storage; push; app store/play ship.
data/infra
etl, warehousing, feature stores, mlops, versioning, logging, observability.
compliance
hipaa/baa patterns, pii minimization, consent, watermarking, crisis protocols.
my operating principles
ai assists, humans decide
ai handles the repetitive work; people make the important calls.
ship with metrics built in
every feature launches with quality measurements and success criteria.
privacy by design
minimize data collection, get explicit consent, plan for crisis scenarios from day one.
learn from real users
ship working products fast to learn from actual usage, not theoretical demos.
pricing
transparent & flexible
discovery/audit (10 days)
$3k–$8k flat
scope-dependent
mvp or pilot sprint (4–6 weeks)
$12k–$45k flat
clear milestones, weekly demos
advisory retainer
$2.5k–$6k/mo
limited slots
day rate (short engagements)
$450–$2.5k/day
flexible, as-needed
negotiable rates & flat project fees–we size to impact and timeline; no surprise overages.
get a tailored quote →let's work together
book a call to discuss your project, or send me a message about what you're building.