About AI MediLabs
A human-plus-AI team for healthcare coordination.
Coordinators, doctors and nurses keep patients informed and followed up between visits. AI and continuous data are the backbone that makes it possible at scale. People make every clinical decision.
Meet the team
Doctors who built the system they wished existed
Clinical judgment is in-house. Founder research, NHS emergency medicine and rural and paediatric practice are the three vantage points AI MediLabs is built from.
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Dr. Mohamed Mabrooq Mufeeth
Founder & CEO
MBBS, Tirunelveli Government Medical College (2023). Registered with the Tamil Nadu Medical Council. Worked as a duty medical officer across Tamil Nadu before founding AI MediLabs.
- Led the field research behind the product: 3,000 patients, 400 doctors and more
- Built and runs the hub-and-spoke team across technology, clinical, ethics and data, and care coordination
- Secured DPIIT and Startup TN recognition and startup cloud credits
- Researched the medical and social reasons for late referrals in rural Tirunelveli
- WHO COVID-19 readiness certified (2021)
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Dr. Veerachamy Harish Sidharth
Tertiary / Corporate Clinical Advisor
MBBS, Tirunelveli Government Medical College (2023). Registered with the Tamil Nadu Medical Council and holds full GMC registration with a licence to practise in the UK. Clinical Fellow in Emergency Medicine at Barking, Havering and Redbridge University Hospitals NHS Trust.
- MRCP(UK) Part 1, Advanced Life Support, RCEM POCUS Level 1, FAMUS Level 1
- Author or co-author of five PubMed-indexed publications
- Presented at the World Stroke Congress, American Academy of Neurology, Alzheimer's Association International Conference and European Resuscitation Congress
- Co-leads a prospective emergency department sepsis audit; incoming Internal Medicine trainee
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Dr. Kausalya Perumalsamy
Primary / Secondary / Rural Clinical Advisor
MBBS, Tirunelveli Medical College (2023). Registered with the Tamil Nadu Medical Council and the GMC (UK). Practises at Nambiyappan Children's Hospital, with experience in emergency medicine, paediatrics and general medicine.
- PLAB 1 and 2, Advanced Life Support, Advanced Paediatric Life Support
- Clinical observership in paediatric cardiology, Leicester Royal Infirmary
- NIHR Good Clinical Practice and Informed Consent; HQIP quality improvement training
- PubMed-indexed publication and a first-author case report
- Speaks English, Hindi, Telugu, Tamil and Malayalam, which matters for patient communication in local languages
Behind them is a care team of coordinators, nurses and doctors who talk to patients and clinics every day. AI supports their work; it never replaces them.
Why we exist
India's health data problem starts at the ground level
Care breaks down in the gaps between visits, and the records that could fix it are never captured.
For patients
- Records are fragmented, with no continuity across doctors
- Nobody explains the plan, the bill or the next step
- No follow-up after discharge, and trust suffers
For doctors and admin teams
- No time to explain during peak hours
- Forms and typing take hours that belong to patients
- Tools are siloed and need heavy staff training
For the system
- No coordinated primary-care layer between patient and specialist
- Ground-level clinical data stays locked in paper and prose
- Duplicate tests and repeated history-taking at every visit
What we do
One integrated ecosystem in three layers
Every product writes to and reads from the same record, so each one gets better from what the others do. All are in early access.
Human layer
Patient communication, relationship and trust building, plus a doctor support network that takes on admin, legal and documentation work.
Input layer
Voice, photos, handwriting and documents become structured records with almost no typing, in a free hospital OS you run by voice and prompts.
Intelligence layer
An agent that runs clinical and administrative tasks step by step, and reasoning support that shows its evidence. Clinicians decide.
Pricing is on the pricing page.
Field research first
We listened across Tamil Nadu before writing a line of product
- 3,000patients
- 400doctors
- 500paramedics
- 50clinic admins
- 30pharmacies
- 20labs
- 10nursing homes
Surveys, structured interviews and in-person engagement in outpatient and inpatient settings, led by our founder in 2025 and 2026.
How we keep care safe
AI suggests. People decide.
Humans decide
Clinical decisions are made by doctors. AI output is decision support, and every high-risk action needs human approval.
People face patients
Patients talk to doctors, nurses and coordinators. AI works behind them as a scribe and assistant.
Data stays in India
Data is hosted and processed in India, built to the DPDP Act, with a full audit trail of access.
Built for ABDM
Our integration is built to the ABDM specification and tested in the ABDM sandbox. We describe it as readiness, not certification.
AI MediLabs supports care. It does not replace a qualified professional, and nothing here is medical advice.
Recognition and company
Recognised by the Government of India and Tamil Nadu
Startup IndiaDPIIT-recognized · Cert. DIPP280325
MSME UdyamReg. UDYAM-TN-02-0500939
Startup TNReg. STN99248
ABDM SandboxBridge ID SBXID_071320
Startup programmes and cloud partners
- Microsoft Azure
- AWS Activate
- NVIDIA Startup (Inception)
Registered company
NALAMOS AIMEDILABS PRIVATE LIMITED
CIN: U62011TN2026PTC194099 · GSTIN: 33AALCN7337H1Z9 · Incorporated 2026, Tamil Nadu, India
Registered office: NO-35/36, BIZHIVE, Station Border Road, Kodambakkam, Chennai – 600024, Tamil Nadu, India
Questions
Common questions
Is AI MediLabs an AI chatbot?
No. It is a coordination service. Human coordinators, nurses and doctors hold the relationship with patients and make the clinical decisions. AI is the backbone that structures records and prepares work for them.
Are your tools medical advice?
No. Outputs are educational and decision support only, and do not create a doctor-patient relationship. Always consult a qualified healthcare professional before acting on health information.
Can AI be wrong?
Yes. AI can make errors, so a person checks clinical output before it is acted on, and every output carries a clear disclaimer.
Who owns the data?
The record belongs to the patient, not the clinic. It is hosted in India, access is logged, and you can ask for it to be shared, exported or deleted. See the privacy policy.
How do I get started?
Early access is open for patients, doctors and hospitals. Use the form on the home page and our team will contact you to set things up.
Contact
Write to admin@aimedilabs.com or use the contact page. Doctors and organisations interested in partnering are welcome to get in touch.