Our Product

AI agents embedded
across your operations

Highly specialised AI agents cutting processing times by up to 70%. Each module integrates with your existing PACS and HIS — no disruptive overhauls.

Module 01

Enhanced Image Analysis

Machine learning algorithms detect and classify abnormalities across CT, MRI, and X-ray modalities with radiologist-grade precision. The model continuously learns from your institution's case mix to improve accuracy over time.

  • Abnormality detection across CT, MRI, X-ray, and ultrasound
  • Confidence scoring with radiologist-review flagging
  • Automated measurement and segmentation overlays
  • DICOM-native integration — zero workflow disruption

95%+

Sensitivity for critical findings

70%

Reduction in processing time

4

Imaging modalities supported

DICOM

Native integration standard

SAMPLE AI REPORT DRAFT

"Chest X-ray AP view. The cardiomediastinal silhouette is within normal limits. No acute airspace consolidation or pleural effusion identified. No pneumothorax. Incidental note: subtle reticular opacity left lower lobe — recommend CT correlation. Clinical correlation advised."

GenAI Reports Voice-to-Text Structured Output HL7 FHIR
Module 02

Automated Reporting

Generative AI drafts structured, clinical-grade radiology reports with voice-to-text dictation support. Reports are formatted to your institution's template and terminology — your radiologists review and sign off in seconds.

30–50%

Faster report turnaround

2 min

Average report generation time

Module 03

Predictive Analytics

Risk stratification models and intelligent case triage ensure critical findings are prioritised and acted upon immediately. Real-time clinical alerts push directly to the referring physician — zero critical misses.

  • Automated case urgency scoring (Critical / Urgent / Routine)
  • Intelligent worklist management and load balancing
  • Population-level trend analytics and outcome tracking

Live Worklist — AI Triage

CT Chest — Patient #4821

Possible pulmonary embolism

CRITICAL

MRI Brain — Patient #4819

Acute ischaemic changes

URGENT

X-Ray Chest — Patient #4817

Routine screening

ROUTINE

Mobile-first

Radiologists access cases from any device, anywhere

Real-time collab

Instant second-opinion requests across the network

HIPAA secure

End-to-end encrypted patient data at all times

Multi-site

Connect hospital networks, clinics, and remote centres

Module 04

Digitally Connected Care

Mobile and web platforms enabling real-time collaboration between radiologists, clinicians, and patients. Bridge the urban-rural diagnostic divide — a radiologist in Mumbai can review scans from a clinic in rural Bihar in minutes.

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Implementation Cycle

Live in 12 weeks,
not 12 months

WEEKS 1–2

Connect

Integrate with your PACS, HIS, and existing diagnostic infrastructure

WEEKS 3–5

Contextualize

AI models trained on your patient population and modality mix

WEEKS 6–8

Validate

Rigorous clinical validation with your radiologists before go-live

WEEKS 9–12

Launch

Full deployment with monitoring, continuous learning, and 24/7 support

Get a hands-on demo

See any AI agent in action

Experience AI-powered efficiency with your actual imaging data. Our team will walk you through the platform end-to-end.

Schedule a demo Partnership inquiries