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Thrifty AI's video avatars run patient intake, symptom triage, and follow-up, and route structured clinical data to your EHR through FHIR and HL7 workflows.
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HCP detailing
Today with Dr. Maya
3 of 4 done1. Care for the patient
2. Coach the field team
A patient who says “I feel fine” while visibly anxious isn't fine. Forms and chatbots process the words. Thrifty AI reads the face.
Our avatars run the intake, notice distress in real time, adjust their tone with empathy, and send structured data to your EHR, so the clinician walks in knowing exactly what to expect.
A face-to-face avatar that runs intake and symptom triage before the visit, on your website, in your app, or on a clinic kiosk.
Perception, understanding, memory, and lifelike rendering work together in real time, so tone and expression count as much as answers.
Guide patients to self-care, telehealth, or an in-person visit, and flag distress for a clinician to follow up.
Function calling sends intake answers to your EHR, compatible with FHIR and HL7 workflows. No retyping.
You said you're fine, but that cough sounds tiring. How long has it kept you up?
Honestly, about a week. I've barely slept.
Clear, warm answers for patients and caregivers between visits, from appointments and medication questions to care-plan follow-ups.
Conversational follow-ups after discharge or a new prescription, with concerns routed to your care team.
Book and reschedule visits, send reminders, and connect patients to a telehealth provider when they need one.
Explain complex therapies in plain words in 70+ languages, 24/7, remembering each patient's history.
Bring the same caring avatar into your buildings on a kiosk, a HoloBox, or a moving robot that greets, guides, and checks patients in.
A moving robot that welcomes patients and visitors and guides them to the right ward, lab, or pharmacy.
Patients check in, confirm details, and answer pre-visit questions face to face at a lobby kiosk.
A life-size HoloBox avatar that explains therapies and devices at medical congresses, in each visitor's language.
Pharma and healthcare conversations are high-stakes. Your reps practise delivering clinical messaging clearly, handling objections with empathy, and staying compliant.
Rehearse conversations with busy, sceptical, or curious clinicians until complex therapies come across with precision.
Scenarios built from your approved messaging, with quizzes that confirm reps know the label and the rules.
Every session is scored and remembered, so managers coach the skills that build confidence and trust.
Our AI FDEs work inside your team to build custom solutions that fit your clinical workflows, systems, and compliance rules.
Map intake, follow-up, and training journeys to find the highest-value places to start.
Connect your EHR, scheduling, and LMS through FHIR and HL7, so avatars work with live data.
Pilot, measure, and scale across clinics and teams, with your staff trained to run it day to day.
Perception, understanding, memory, and rendering, built together and working in real time, because care depends on noticing what patients don't say.
Patients fill in intake forms that miss how they feel, follow-up calls go unanswered, and reception desks queue at opening time.
A Thrifty AI avatar runs intake and follow-up in 70+ languages, writes to your EMR, and runs in our cloud, your VPC or on-prem.
Appointment, medication and care-plan questions between visits, with concerns routed to the care team.
Patients confirm details and answer pre-visit questions at a lobby kiosk, offline if the network drops.
A service robot that greets visitors and guides them to the right ward, lab or pharmacy.
Pharma reps rehearse HCP detailing with sceptical clinician personas; sessions are scored on on-label messaging.
A life-size avatar explains therapies and devices at medical congresses in each visitor's language.
Thrifty AI does not publish customer benchmarks for this page yet. Measure these during the pilot and compare with your baseline:
1. Discovery
Week 1–2
Walk the reception and one ward. Pick the first intake, follow-up and wayfinding journeys and confirm where data must live.
2. Build
Week 3–5
Create the avatar, load approved patient information, connect scheduling and the EMR through FHIR, set escalation rules.
3. Pilot
Week 6–9
Run in one department or clinic. Measure the KPIs above with the care team and tune tone and guardrails.
4. Rollout
Week 10 onward
Add departments, channels and languages. Hand over to your IT team or keep the AI FDE team on retainer.
No. It collects intake answers, explains approved information such as appointment prep and medication leaflets, and routes clinical questions to a clinician. Guardrails keep it inside the content you approve. Distress or red-flag answers trigger a staff alert.
Through function calling against your HIS or EMR using FHIR and HL7 workflows. Intake answers arrive as structured fields on the chart. Our AI FDE team scopes the field mapping with your IT team.
Yes. Self-hosted deployments run in your VPC on AWS, Azure or GCP, or on-prem on your own servers. A lobby kiosk can run fully offline on Maya-Lite. Enterprise plans can run with no conversation storage.
70+ languages, including Hindi, Gujarati, Marathi, Bengali, Tamil, Telugu, Malayalam, Arabic, French and Spanish. It switches language mid-conversation when the patient does.
Cloud plans are priced per live avatar minute, from $0.04 per minute at scale. A self-hosted or on-prem deployment is an annual licence plus a per-minute rate. See /plans.
Want this built for you? Our forward-deployed engineers scope, build and run it with your team.
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In a 30-minute demo, we'll show you an AI intake assistant and rep coach built on your workflows and approved messaging.