Healthcare intelligence, augmenting care for the way India presents.
Foundation models fine-tuned on Indian data, designed to support clinicians where it adds the most value: the reading room, the OPD, the record room and the skin clinic.
Indian-cohort training · validation-ready
Foundation models, fine-tuned per task
PACS-native · HL7 / FHIR ready
Randomised AI quality audit, built in
Four lines of healthcare intelligence, one model backbone.
Each line deploys on its own and compounds with the others: shared data foundations, shared model operations and one audit trail.
Teleradiology with the model at the centre of the read.
Enterprise PACS, triage intelligence and workflow automation in one reading environment, powered by custom models for CT, MRI and X-ray.
An intake that listens, in the patient's language.
Voice-first conversational intake at kiosk or by phone, structured before the consult begins.
Paper in. Interoperable data out.
OCR pipelines that organise legacy records into EMR-ready, analytics-grade structure.
A dermatologist's second look, for every GP.
Lesion risk stratification and India's 20 most common skin conditions, as decision support for clinicians and guidance for consumers.
Where the platform goes next.
Multimodal reasoning across imaging, pathology and history, and longitudinal care beyond the single visit.
From Indian data to the point of care, and back.
Designed as a closed loop, so clinician feedback becomes the next round of training and the models keep improving.
Indian cohorts
Data reflecting local disease burden, presentation patterns and equipment diversity.
Fine-tuned foundations
Foundation models specialised per modality and per clinical question.
Validation-ready
Evaluation protocols and specialist review designed in before any clinical use.
Inside the workflow
PACS, EMR and kiosk integration, in cloud, on-premise or hybrid.
Audited & reinforced
Randomised quality checks and reader feedback that keep improving the model.
Models trained elsewhere miss what India sees.
Different presentation
Higher TB and trauma burden, later-stage disease and co-morbidity profiles that global datasets under-represent.
Different infrastructure
Mixed scanner fleets, variable image quality and phone-camera capture, handled as the norm rather than the exception.
Different conversations
Multilingual, code-mixed patient speech and handwritten records, understood natively rather than translated after the fact.
Clinicians, engineers and builders.
Meet the team →
See it on your cases.
A focused session with our product and engineering leads, scoped to the line you care about.
Every study, read in the order it matters.
A teleradiology platform built around enterprise PACS, with AI triage at the front of the queue and custom models fine-tuned on Indian cohorts across CT, MRI and X-ray.
The worklist sorts itself.
Triage models score acuity at ingest, so time-critical studies rise above routine volume.
Every study finds its expert.
Skill-based routing matches subspecialty, shift and live workload, not just the next free radiologist.
Audit without the overhead.
AI-enabled randomised quality checks sample reads across the network and surface discordance.
A platform layer and a model layer.
The platform runs the reading operation. The models make it faster, safer and better ordered.
Platform
Operations & infrastructureEnterprise PACS
DICOM-native, multi-site archive with a zero-footprint diagnostic viewer.
AI-enabled workflow
Prior fetching, protocol-aware hanging and structured reporting, automated end to end.
Skill-based routing
Assignment by subspecialty, credentials, shift and live load.
Triage intelligence
Model-scored priority on every incoming study, across modalities.
Randomised quality check
Statistically sampled, AI-assisted peer review across readers and sites.
Reinforcement feedback
Reader agreement and corrections flow back into model improvement.
Models
Trained on Indian cohorts · fine-tuned per taskHead CT & trauma
Acute intracranial findings and trauma patterns, flagged for priority read.
Cancer detection & prognosis
Lesion detection with prognostic signals to support treatment planning.
Brain-age health
Estimated brain age as a marker of neurological health over time.
Normal / abnormal
Confident separation of normal studies so specialists focus on the abnormal.
TB detection
Tuberculosis screening that sharpens continuously through reinforcement feedback.
More modalities
New clinical questions added on the same fine-tuning and evaluation backbone.
Six stages, one continuous loop.
Ingest
DICOM from any modality and site.
Triage
Models score acuity on arrival.
Route
Skill and load-matched assignment.
Read
AI-assisted reporting in the viewer.
Audit
Randomised quality sampling.
Learn
Feedback retrains the models.
Built to sit inside your network.
DICOM, HL7 v2, FHIR
Cloud, on-premise or hybrid
CT, MRI, X-ray
Indian clinical cohorts
Designed for radiologist sign-off on every report
Validation-ready · evaluation protocols on request
Decision support that augments the radiologist
Reader-in-the-loop reinforcement
OPD intelligence
The consult starts before the doctor says hello.
AI patient intake at a kiosk or fully by voice. It holds a natural conversation in the patient's language and hands the clinician a structured, decision-ready context.
Pre-consult summary
History taken, not repeated.
Patients tell their story once, at their own pace, while they wait.
Language is not a barrier.
Voice-first and multilingual, including code-mixed speech that real patients use.
Context, not transcripts.
Structured complaint, history and red flags, ready in the EMR when the consult begins.
Conversation in, clinical structure out.
Kiosk intake
Touch-and-voice stations designed for busy OPD waiting areas.
Fully voice conversational
Natural spoken intake by phone or tablet, with no screens needed.
Multilingual & code-mixed
Built for how Indian patients actually speak about symptoms.
Adaptive questioning
Follow-up questions that branch on what the patient has just said.
Context structuring
Complaint, history, medication, allergies and red flags in clinical form.
EMR-ready output
Clinician summary delivered to the EMR in HL7 / FHIR formats.
From hello to handoff.
Greet
Kiosk, phone or tablet entry.
Converse
Natural, voice-first dialogue.
Clarify
Adaptive follow-up questions.
Structure
Clinical entities and red flags.
Summarise
Clinician-ready brief.
Handoff
Delivered into the EMR.
Fits the OPD you already run.
Kiosk, phone, tablet
Structured summary · HL7 / FHIR
Indian languages (list on request)
Red-flag alerts to clinical staff
Record intelligence
Decades of paper, made queryable.
Medical record digitisation with OCR pipelines tuned for Indian clinical documents. Handwritten notes, lab reports and discharge summaries are organised into structured data for analytics and EMR exchange.
Any document, any hand.
Printed, handwritten and mixed-format records, including faded scans and phone photos.
Entities, not just text.
Diagnoses, medications, labs and dates extracted and linked to the right patient and encounter.
Ready for systems and analytics.
EMR-native HL7 / FHIR output plus an analytics-grade longitudinal record.
An OCR pipeline that reads like a clinician.
Capture & classification
Bulk scans and photos sorted by document type automatically.
Handwriting-aware OCR
Tuned for Indian clinical handwriting, abbreviations and layouts.
Clinical entity extraction
Diagnoses, drugs, doses, labs, vitals and procedures.
Coding & terminology
Mapped to standard vocabularies for consistent downstream use.
Longitudinal timeline
Each patient's history assembled in clinical order across documents.
EMR / HL7 / FHIR
Interoperable output for EMRs plus a warehouse for structured analytics.
Paper to patient timeline.
Capture
Scan, photo or bulk upload.
Classify
Document type and layout.
Recognise
Print and handwriting OCR.
Extract
Clinical entities and relations.
Normalise
Standard codes and units.
Deliver
EMR, HL7 / FHIR, analytics.
Structured for every downstream use.
Scans, PDFs, phone photos
HL7 v2, FHIR resources, structured tables
EMR migration, research cohorts, claims
De-identification options built in
Dermatology intelligence
A specialist's second look, wherever care begins.
Foundation models fine-tuned on Indian skin. They stratify lesions as benign or suspicious and recognise the 20 conditions that fill Indian clinics, as decision support for GPs and guidance for consumers.
Low suspicion
Suspicious lesions surface early.
Benign / malignant stratification that tells a GP when a referral cannot wait.
The everyday, done right.
India's 20 most common skin conditions recognised for confident first-line management.
Expertise beyond the city.
Decision support wherever there is a phone camera and a clinician.
One model family, two front doors.
Decision support for GPs and non-dermatologists.
For primary care, telehealth and pharmacy networks where a dermatologist isn't on hand.
- Differential with likelihoods at the point of care
- Referral guidance for suspicious lesions
- Integrates into existing clinical apps and EMRs
Guided skin checks for everyone.
Consumer-facing guidance that knows when to reassure and when to send someone to a doctor.
- Guided capture with live quality checks
- Plain-language explanations
- Clear next steps and when to seek care
Built around what Indian clinics see.
Top 20 conditions, with lesion risk stratification across them.
From photo to next step.
Capture
Guided phone or dermoscope image.
Quality
Focus, light and framing checks.
Classify
Condition recognition.
Stratify
Benign / malignant risk.
Advise
Decision support or guidance.
Refer
Escalate when it matters.
Research frontier
What we're building next.
Two programmes in active development. Both extend the same India-first model backbone, beyond the single image and the single visit.
AI Tumor Board
Multimodal case synthesis for multidisciplinary oncology decisions, bringing imaging, pathology and history into one reasoned brief.
- InputsImaging, pathology, genomics and clinical history
- OutputStructured case brief with evidence-linked options
- RolePrepares the board; clinicians decide
Mental Health Platform
Conversational screening and longitudinal measurement, designed for continuity of care between visits.
- ScreeningConversational, built on standard screening instruments
- ContinuityLongitudinal check-ins and trend tracking
- SafetyClinician escalation with privacy by design
How we take research to the clinic.
Indian cohorts, consented and governed
Clinicians in the loop at every stage
Prospective validation before deployment
Open to co-development with hospital partners
Shape what we build next.
We're inviting oncology centres and mental-health providers to join early pilots.
The people behind the models.
Clinical depth, AI research and enterprise engineering under one roof.
Start a conversation.
Tell us where you are and what you're solving. We'll come back with a focused session for your team.