Predible Health

What Predible Health does

Predible Health is a Bangalore-based AI radiology software company founded in 2017 that develops cloud-based deep learning tools for CT scan analysis in liver and lung diagnostics, serving Indian hospital radiology departments and hepatobiliary/transplant surgery centers. The product portfolio centers on two platforms: PredibleLiver, which automates liver segmentation for surgical planning, lesion characterization, and treatment response assessment using mRECIST protocols, and LungIQ (also marketed as PredibleLung), which detects lung nodules as small as 3mm with sensitivity exceeding 95%, quantifies COPD and interstitial lung disease, and produces malignancy risk scores; both products operate as cloud SaaS applications accessible through any standard web browser, combining deep-learning inference with cloud-based computation.

The technology stack rests on proprietary deep learning architectures developed in-house — a 20-layer deep residual convolutional neural network for lung nodule detection and malignancy prediction, a 3D U-Net for volumetric organ and vascular segmentation, and a conditional GAN (pix2pix) framework for generating synthetic PET images from CT inputs. Models were trained on large public imaging datasets including LIDC-IDRI, NLST screening trial data (1,245+ scans), and the LiTS challenge corpus, with independent clinical validation conducted at multiple Indian tertiary hospitals. Performance has been benchmarked against radiologist consensus with results including 96% sensitivity on 3/3 radiologist-consensus nodules, AUC of 0.91 for malignancy prediction versus radiologist AUCs of 0.81-0.83, automated liver volumetry in 3.5 minutes versus 14.6 minutes manually, and demonstrated 5-20% improvement in radiologist sensitivity when AI is combined with human interpretation. Findings have been published in peer-reviewed venues including Academic Radiology and presented at RSNA and the European Congress of Radiology, and a co-branded optimization whitepaper was produced with Intel around OpenVINO deployment on Intel Xeon Scalable processors.

Predible Health operates an enterprise SaaS go-to-market, targeting hospital radiology departments and HPB/transplant surgery centers through direct field sales with a contact-based pricing model and HubSpot-mediated demo scheduling; pricing is not publicly disclosed. Clinical research and validation partnerships have been established with Paras Hospitals (Gurugram), CARING (New Delhi), and Max Super Speciality Hospital (Saket). The company is private and founder-controlled, with no public listing and no disclosed revenue; two known funding events include a March-2018 seed investment from Unitus Ventures and a December-2020 round led by International Finance Corporation and Stellaris Venture Partners with participation from IKP Knowledge Park. Leadership comprises co-founders Suthirth Vaidya (CEO) and Abhijith Chunduru (CTO), supported by a team of approximately 10-11 personnel covering engineering, deep learning, product, imaging-specialist, and regulatory/quality functions.

Name

Predible Health

Legal name

Predible Health Pvt. Ltd.

Website

https://prediblehealth.com

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Predible Health is a Bangalore-based AI radiology SaaS startup that builds cloud-based deep learning tools for CT scan analysis — specifically lung nodule detection/malignancy scoring (LungIQ) and liver segmentation/surgical planning (PredibleLiver) — serving Indian hospital radiology departments and hepatobiliary/transplant surgery centers through enterprise subscriptions.

Ownership category

akta.pro rank

Product category

AI Radiology Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Surgical & Medical Instruments & Apparatus (3841)

akta.pro primary industry

Medical Imaging AI (HDAAAEAH)

akta.pro secondary industries

AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG), Diagnostic & Triage Decision Support (HLACAGAA), Imaging Informatics & Workflow (PACS/RIS/VNA) (HLAHABAI)

Keywords

• Radiology AI software
• Medical imaging analytics
• Deep learning CT analysis
• Lung nodule detection
• Liver surgical planning

Headquarters

HQ city

Bangalore

HQ country

India

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. AI Radiology Software Platform: Cloud-based AI radiology reporting platform with subscription or usage-based pricing model for healthcare institutions. The platform provides automated analysis of CT scans for liver and lung conditions.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

Predible Health develops and sells a cloud-based AI radiology platform that performs automated analysis of CT scans for liver and lung conditions. Its two core products—PredibleLiver and LungIQ (PredibleLung)—use deep learning algorithms to deliver automated organ segmentation, lesion characterization, malignancy scoring, and quantitative response assessment for hospitals and radiology departments.

Product overview

Predible Health offers two AI-powered radiology analysis products built on a cloud-based deep learning platform. PredibleLiver provides liver segmentation and surgical planning tools, while LungIQ (PredibleLung) delivers lung nodule detection and disease quantification. Both products combine deep learning algorithms with cloud computation to supplement standard radiology reporting, enabling quantitative analysis for cancer screening, surgical planning, and treatment response assessment.

Differentiator

Problem solved

Functional benefit

Brands

• PredibleLiver: Automated liver segmentation solution enabling surgical planning, lesion characterisation, and response assessment for liver conditions.
• PredibleLung / LungIQ

Products and services

• LungIQ (PredibleLung) AI-powered lung CT analysis platform providing automated nodule detection (as small as 3mm with over 95% sensitivity), malignancy scoring, COPD emphysema quantification by lung lobe, interstitial lung disease fibrosis assessment, and longitudinal nodule tracking for cancer screening and response assessment. Targeted at hospital radiology departments.
• PredibleLiver Cloud-based liver analysis platform offering automated liver segmentation, interactive 3D surgical planning tools with virtual resection, hepatic lesion detection and characterization, and mRECIST-based quantitative response assessment for liver transplant planning and cancer treatment monitoring. Targeted at hepatobiliary surgeons and transplant teams.

Quantifiable outcome

• Lung nodule detection sensitivity of 96% on nodules with 3/3 radiologist consensus and 91.1% on 2/3 consensus at 1 FP/scan
• +4 more outcomes

Named customers3 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature5 records

Partnerships

Four partnerships are on record, tiered core.

• Paras Hospitals, GurugramcoreStrategic or Co-development Partner · 2 December 2019Clinical validation partner for studies evaluating CT reconstruction kernel impact on deep learning lung nodule detection sensitivity. Validated algorithm performance on NLST dataset CTs.
• IntelcoreTechnology or Integration · 20 September 2019Collaboration with Intel for optimization of deep learning algorithms for lung cancer detection on CT scans. Predible Health's algorithms were optimized on Intel Xeon Scalable processors using Intel Distribution of OpenVINO Toolkit, with a published whitepaper on Intel AI website.
• Centre for Advanced Research in Imaging, Neurosciences and Genomics (CARING), New DelhicoreStrategic or Co-development PartnerLong-term clinical research partner for multiple validation studies including lung nodule detection comparison with radiologists and liver volumetry efficiency studies.
• Max Super Speciality Hospital, Saket, New DelhicoreStrategic or Co-development PartnerValidation partner for assessing AI-based malignancy likelihood estimation system trained on NLST screening data when applied to routine CT biopsy-proven studies from a tertiary care hospital setting.

Scale indicators3 records

Recent moves6 records

Expansion highlights4 records

Direct peers

• SigTuple: Bengaluru-based AI healthcare startup applying deep learning to medical imaging and microscopy (blood, urine, retina). Comparable as an India-headquartered AI medical imaging company using cloud-based deep learning infrastructure to deliver specialist-grade diagnostic assistance.
• Qure.ai: Mumbai-based AI radiology startup offering FDA-cleared chest CT, head CT and chest X-ray algorithms. Directly comparable as the leading Indian AI radiology peer; both target lung and other CT workloads for hospital radiology departments with deep learning-based detection and quantification.
• Viz.ai: US-based AI radiology company focused on time-sensitive imaging findings (stroke, PE, aneurysm). Comparable as a specialist deep learning radiology AI vendor selling into enterprise hospital systems with clinical workflow integration.
• Annalise.ai: Australia-based radiology AI company offering comprehensive chest X-ray and CT decision-support tools covering 130+ findings. Comparable as a deep learning clinical decision support vendor for radiologists with cloud deployment.
• Aidoc: Israel-based AI radiology platform providing FDA-cleared algorithms for CT triage and quantification across multiple body parts. Comparable as a deep learning radiology AI vendor targeting enterprise hospital deployments with cloud/on-prem deployment models.
• Zebra Medical Vision (Nanox): Israel-based (now part of Nanox) AI radiology company providing multi-modality imaging analytics on a SaaS platform. Comparable as a deep learning multi-organ radiology AI vendor targeting enterprise hospital customers.
• Synapsica Healthcare: India/SEA-focused radiology AI platform offering spine MRI and X-ray AI reporting tools. Directly comparable as a regional AI radiology SaaS targeting hospital and diagnostic center reporting workflows.

Broad incumbents

• Philips (IntelliSpace AI): Global health technology incumbent with a comprehensive radiology informatics portfolio including PACS, advanced visualization, and an AI marketplace for clinical applications. Comparable as a broad imaging informatics incumbent whose installed enterprise base is the primary competitive channel against standalone AI vendors like Predible.

Emerging players

• Tricog Health: Bengaluru-based AI cardiology startup providing ECG interpretation and remote cardiac triage. Comparable as an India-based AI healthcare startup with cloud-delivered specialist decision support, though focused on cardiology rather than radiology CT.
• Niramai Health Analytix: India-based AI healthcare startup offering a thermal imaging-based breast cancer screening solution. Comparable as a homegrown Indian AI healthcare company applying novel sensing and AI to a specific clinical workflow; similar stage and GTM, but adjacent rather than overlapping in radiology CT.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights6 records

Customer concentration

• Xx.com/predibleh
• LinkedInlinkedin.com/company/predible-health

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds2 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Predible Health