nextlm.ai
AISales intelligence
NextLM
An AI prospecting agent that turns 35 billion daily intent signals into a ranked list of ready buyers every morning.
Case study · Digital health
A doctor's patience,
available at 2am.
An AI health companion that remembers a patient's history, reads their lab reports and answers symptom questions in under two minutes, with family profiles so one person can look after everyone at home.
HealthzyGlobalWeb app (PWA)
healthzy.app
Consultations
50k+
AI consultations completed on the platform
Response
<2 min
from first message to a structured assessment
Return users
46%
come back within 30 days for a new question
Records
3.2x
more reports uploaded per user after family profiles launched
Figures reflect platform analytics in the months following public launch.
The starting point
The challenge
01
Search engines gave the worst-case answer
People googled symptoms, found frightening results and either panicked or ignored something that mattered.
02
Records scattered across PDFs and apps
Lab reports, prescriptions and discharge notes lived in inboxes and phone galleries, useless at the moment they were needed.
03
Generic chatbots forgot everything
Every conversation started from zero. No context on age, conditions or medication meant advice that was vague at best.
04
Trust and privacy were non-negotiable
Health data is the most sensitive data people have. The product had to feel safe before it could feel useful.
What we built
An assistant that knows your history
before you explain it
Context-aware consultations
Symptom checks, triage and follow-up questions that take age, conditions, medication and past reports into account.
Report reading
Upload a blood test or scan report and get plain-language explanations of each value, with flags for anything worth a doctor's look.
Family profiles
One account manages parents, children and partners, each with their own records, history and consultation log.
Private by design
Encrypted storage, explicit consent flows and no training on personal records. Patients own and can export everything.
How it works
From a worry to a clear next step
What happens between a question and an answer.
- 01
Patient asks
Symptoms described in everyday language, by text, with no account needed to start.
- 02
History pulled in
Profile, prior consultations and uploaded reports attached to the conversation.
- 03
Clinical reasoning
Medically grounded prompts and guardrails shape a structured, cautious assessment.
- 04
Report generated
A clear summary, recommendations and red flags, exportable as a PDF for the doctor.
healthzy.app
Stack
LLM OrchestrationMedical GuardrailsOCR + Document AINext.jsNode.jsPostgreSQLEncrypted Storage
Results & impact
What changed
after launch
Before
Patients searched symptoms online, kept reports in scattered files and waited days for short appointments with no context.
After
One app holds the family's history, answers questions in minutes and hands the doctor a clean summary when a visit is needed.
Let's build your next
healthcare AI product.
Tell us what you are building. You will get a clear plan, a fixed estimate and a team that has shipped this kind of product before, usually within 3 hours of the call.
Delivered in this engagement
- AI consultation engine
- Health record vault with report analysis
- Family profile system
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