Stat 1 of 3
2hrs
/ day
Lost to documentation
The average time a hospital doctor spends typing notes — instead of seeing patients.
Built for Every
Hospital Across India.
MedScribe speaks Hindi, Marathi, Bengali, Punjabi, Malayalam, Tamil and more — so every doctor can consult and document in their own language.
Unified System
Real-time Insights
Secure by Design
Built for Clinicians
हिन्दीHindiमराठीMarathiবাংলাBengaliਪੰਜਾਬੀPunjabiമലയാളംMalayalamதமிழ்Tamil+ MoreLanguages
AI-Powered Insights
Surface risks & trends in real time.
Smart Workflows
Automate tasks and streamline care.
Clinical Decision Support
Evidence-based guidance at the point of care.
Predictive Analytics
Anticipate outcomes and improve planning.
Natural Language Interface
Ask. Dictate. Document. In your language.
One Learn AI
Made in India. For India.
Made in India · For India
भारत के डॉक्टरों के लिए · भारत में बना
Bharat ke doctors ke liye·Bharat mein bana
Hospital software built by an Indian team, on Indian medical conversations, for the languages and realities of Indian healthcare.
हिन्दीमराठीதமிழ்తెలుగుবাংলাമലയാളംਪੰਜਾਬੀ
+ English · 8 Indian languages, one mic-tap away
Agentic AI · 11 specialist agentsEvery job in your hospital,
Every job in your hospital,
now has an
AI specialist.
Not one AI doing everything badly — eleven specialist agents, each trained for one job. MediScribe writes the consultation note. Bed Mgmt frees the ICU. Pharmacy catches the interactions. They run on one platform, share one patient record, and report to one orchestrator. So your team can do what only humans can — care for the patient.
★
1med Orchestrator
core agent
Agents11 / 11
Tasks live● 42
01 — Product
AI Mediscribe.
You talk. We write.
Ambient listening during the consultation. Multilingual, speaker-aware, specialty-tuned. A structured, editable note in your EMR the second the patient walks out.
Live capture → Clinical note Ready to sign
Clinical note · SOAP
S — Subjective
T2DM follow-up. Reports elevated fasting sugars (220–240 mg/dL) since festive season. Transient blurry vision with hyperglycemia. Denies neuropathic sx.
O — Objective
Weight ↑ 3 kg since last visit. (Vitals & labs auto-pulled from HIS.)
A — Assessment
T2DM — uncontrolled. Weight gain contributing. No acute complications.
P — Plan
Metformin 1000 mg BD. Add short-acting insulin pre-dinner. HbA1c in 6 wks. Dietitian referral.
Codes
ICD-10: E11.65 · CPT: 99214
22+
Languages
English, Hindi, Tamil, Telugu, Bengali, Kannada, Marathi, Malayalam & more — switch mid-sentence.
< 45s
Note generated
Structured draft in your EMR seconds after the consult ends.
92%
Note accuracy
Measured against physician-reviewed gold-standard notes.
2–3 hrs
Saved per day
Typical physician reports across outpatient load.
02 — Product
Discharge Summary,
written itself.
Hours of admission notes, med lists, op notes and labs — collapsed into a clean, accurate, patient-friendly summary. Generated on one click, translated for the patient, signed by the doctor.
Inputs · 4-day admission
D1
09:42
ED admission note2 pages09:42
D1
14:20
Troponin × 3, ECGLab14:20
D2
08:10
Cath lab report1 page08:10
D2
18:40
ICU shift notes6 entries18:40
D3
—
Medication changes4 events—
D4
09:00
Physio, dietitian notes3 pages09:00
→ Synthesised
Cardiology
Discharge Summary
Patient
Rahul Mehta · M · 54 · MRN 442819
Admission
14 Apr 2026, 09:42 · Cardiology
Discharge
18 Apr 2026, 11:15 · Stable · Home
Diagnosis
NSTEMI · Type 2 DM · HTN
Procedures
Coronary angiogram (15 Apr). LAD 80% stenosis → PTCA + DES.
Hospital course
Admitted via ED with crushing chest pain. Trop-I 4.8 ng/mL. Loaded DAPT. Cath on D2 — single-vessel intervention. Uneventful recovery. Mobilised D3. Counselled on lifestyle, cardiac rehab referral.
Medications at discharge
Aspirin 75 mg OD · Ticagrelor 90 mg BD · Atorvastatin 80 mg HS · Metoprolol 25 mg BD · Ramipril 2.5 mg OD · Metformin 500 mg BD
Follow-up
Cardiology OPD in 2 weeks. HbA1c & lipid panel in 6 weeks.
Red flags
Return immediately if chest pain, breathlessness at rest, fainting, or bleeding.
For the patient · plain language
You had a small heart attack because one artery was blocked. We opened it with a stent on day 2. Take all 6 medicines daily — especially the blood thinners for the next year. Walk 20 minutes, avoid fried food, don't miss the cardio follow-up in 2 weeks.
Generated in 11 seconds · reviewed by Dr. A. Rao
Synthesises the full chart
Admission notes, op notes, progress notes, labs, imaging, medications — all fused into one coherent narrative.
Patient-safe translation
Auto-translates into Hindi, Tamil, Telugu, Bengali & more. Plain-language paragraph for the patient.
Doctor stays in charge
Every summary is a draft. Signed only after a physician reviews. Full audit trail per edit.
03 — Product
AI-native HIS.
The whole hospital, in one system.
OPD, IPD, pharmacy, billing, labs, radiology, beds, operation theatres — a full Hospital Information System where every module is assisted by AI. No more swivel-chairs between seven logins.
◐
Command Center
Wed 22 Apr · 14:32 IST
OPDIPDPharmacyLabsRadiologyBillingOT
Beds · Live
312/ 420
ICU94%
General71%
Predicted discharge today34
OPD Queue
AI triage48waiting
Cardiology12
General med22
Avg wait18 min
OT Schedule
7/ 9 booked
CABG · Dr Kumar15:00
Lap chole · Dr Iyer15:30
On-time rate91%
Revenue Today
₹42.8L
Insurance pending₹18.2L
Rejection risk (AI)4 claims
vs yesterday+12%
ICU · Ward 4B · Patient board
2 AI alertsBed 401R. Mehta · 54MPost-PCI D2Stable
Bed 402S. Iyer · 71FSepsisqSOFA rising
Bed 403A. Khan · 38MDKAImproving
Bed 404M. Das · 62FCHFFluid overload risk
Bed 405P. Shah · 48MObservationFor D/C today
Hospital Copilot
→ Bed 402 qSOFA trending up. Suggest ICU escalation review.
→ 4 claims flagged: missing pre-auth. Likely rejection ₹3.2L.
→ OT-3 ran over. Cases shifted to OT-5. Patients notified.
14 modules · one database · one login
OPD
Queue + AI triage
IPD
Ward & ICU boards
Pharmacy
Stock + e-Rx
Lab
LIMS + reports
Radiology
RIS/PACS
Billing
TPA + claims
OT
Scheduling
Blood Bank
Cross-match
Dietary
Patient meals
CSSD
Sterile tracking
HR
Rosters + payroll
Inventory
GRN + vendors
Inpatient nursing
eMAR + charting
Discharge
AI summary
How it works
Four steps.
Nothing clinicians need to learn.
01
Listen
A phone, mic or web tab captures the consultation. No new hardware. Works offline too — syncs when back online.
02
Understand
Specialty-tuned models transcribe, separate speakers, translate and extract clinical entities — meds, diagnoses, vitals, codes.
03
Structure
Output flows into your preferred template — SOAP, admission, discharge, op note — populated in your EMR or our HIS.
04
Review & sign
Doctor reviews, edits, signs. Every change is audit-logged. Nothing leaves the clinician's control.
ROI · Back of envelopeWhat does a
What does a
scribe-free hospital
look like?
Typical documentation takes 5–8 minutes per patient. Multiply by your OPD load. Move the sliders.
Doctors40
Patients / doctor / day28
Minutes saved per note6 min
Clinician hours saved / day112
Clinician hours / year29,120
* Indicative based on documentation time saved. Adjust to your mix.
The problem
Hospitals run on documentation.
Doctors don't have time to write it.
Three numbers tell the story.
Stat 2 of 3
40%
delayed > 24h
Discharge summaries late
Holding up beds, billing, and the next patient already waiting in line.
Stat 3 of 3
0%
of legacy HIS
Built AI-native
Most hospital information systems were designed in the 2000s. AI was bolted on later.
One Learn AI is what happenswhen you fix all three.
Complete medical ecosystem
AI-powered solutions across
every specialty.
From diagnostic imaging to complex inpatient care — One Learn AI shows up in the workflow you already use.
Who One Learn AI is for
Designed for hospitals.
Built for clinicians.
One Learn AI bridges the gap between advanced AI and real clinical needs — for the institution and the people inside it.
For institutions
Healthcare institutions & hospitals
Hospitals deploy One Learn AI to improve clinical efficiency, documentation quality, and decision-support — without ripping out existing systems.
- Improved clinical productivity
- Reduced documentation time and burnout
- Standardized medical and discharge reporting
- Scalable, AI-enabled care delivery
For clinicians
Doctors & front-line clinicians
Built for the people doing the work. Mediscribe, Discharge Summary, and the broader platform support the clinical day so you can focus on patients.
- Faster access to structured clinical insights
- Less manual documentation effort
- Clarity when reviewing complex patient information
- Tools that assist — never replace — clinical judgment
Enterprise-grade complianceHospital-grade compliance.
Hospital-grade compliance.
From day one.
Five ISO certifications. Hosted in EU and India. HIPAA-aligned. Built for hospital procurement teams who don't compromise.
ISO/IEC 27001
Information Security Management
Establishes a formal Information Security Management System (ISMS) to protect sensitive healthcare and clinical data. Addresses risk assessment, access control, encryption, incident handling, audit logging, and continuous security improvement across digital health platforms.
ISO 27799
Health Informatics Information Security
A healthcare-specific extension of ISO 27001, defining best practices for protecting electronic health information (EHI). Ensures confidentiality, integrity, and availability of patient data across EHR systems, integrations, and clinical workflows.
ISO 9001
Quality Management System
Provides a structured framework for consistent and high-quality delivery of products and services. Focuses on process standardization, documentation, continuous improvement, customer satisfaction, and operational governance.
ISO 13485
Medical Devices Quality Management
Specifies quality management requirements for medical devices and regulated healthcare software. Supports design control, validation, change management, traceability, and compliance with medical regulatory frameworks.
ISO 14971
Medical Device Risk Management
Defines a systematic approach to identifying, evaluating, controlling, and monitoring risks throughout the medical device and healthcare software lifecycle. Ensures patient safety and regulatory alignment through continuous risk analysis and mitigation.
Honorable Medical Advisor
Prof Dr K Ganapathy
MS MCh (Neuro), FACS, FICS, FAMS, PhD
Pioneering Neurosurgeon with 5+ decades of clinical practice. Elected President of 3 National Societies and Secretary General of the largest continental Neurosurgeons society.
President — Telemedicine Society of India (Past)
President — Neurological Society of India (Past)
First Indian Neurosurgeon with PhD in Neuroimaging (1990)
1000+ National & International Conference Speaker
Our Team
The Leadership Team
Meet the experts driving One Learn AI's mission to transform healthcare with AI.
SanthoshP
Chief Executive Officer
AI scientist leading product vision, execution, and strategic decision-making for clinician-first AI solutions.
VinodBalakrishnan
Chief Information Officer
IIT Kharagpur alumnus with 20+ years in IT entrepreneurship, leading innovation and technology strategy.
MandarJunagade
Chief Operating Officer
Heads operations strategy, product positioning, and go-to-market execution.
SureshIyer
VP Marketing
20+ years across medical devices at Philips and Medtronic, leading go-to-market and marketing strategy.
DarshanVarma
Head of Operations
Drives operational strategy, delivery, and day-to-day execution across the organization.
Nagalakshmi
Head of Implementation
Leads customer implementation, onboarding, and rollout of AI solutions across hospital partners.
ShwetaSharma
Director of HR
Leads human resources strategy, talent acquisition, and organizational development.
AkankshaKalaskar
Head of Cloud Operations
Manages cloud infrastructure ensuring scalable and secure AI deployments.
JaiDhruv
Strategic Advisor
Advises on long-term strategy, partnerships, and growth across healthcare markets.
VilasJunagade
Chief Financial Advisor
Guides financial strategy, investment planning, and fiscal governance for sustainable growth.
Our MissionDriving digital health adoption —
Driving digital health adoption —
one hospital at a time.
One Learn AI is more than a tool. It reflects a commitment to advancing responsible digital health adoption in clinical practice — translating complex AI capabilities into practical, clinician-friendly solutions that move healthcare systems toward smarter, more efficient, more human-centered care.
Clinician-first, always
Every feature is shaped by doctors and nurses doing the work — not by what's easy to build.
Responsible by design
Patient data stays on home soil. Audit trails on every change. Doctors stay in charge.
Built for the long road
Healthcare moves slowly because lives depend on it. We take the time to get every detail right.
Get in touch
Let's start a
conversation.
Tell us about your hospital and we'll get back the same day. Or skip the form and reach us directly.
What to expect
- Same-day response from our team
- 30-min walkthrough on your specialty
- No commitment, no sales pressure
Book a Demo
Give your clinicians
their evenings back.
30-minute walkthrough. We'll bring a mocked consultation from your specialty and show you the note we'd generate.