Two different products wear the same label
Before comparing companies, fix the category error that most lists make. “Radiology AI company” describes two fundamentally different businesses:
- AI software vendors sell algorithms. The product is a detection, triage or quantification tool — it flags a possible haemorrhage, scores a nodule, reprioritises a worklist. Your own radiologists still interpret the study and sign the report. Qure.ai, Aidoc, Lunit and Annalise.ai are in this group.
- AI-native reporting services sell finished reports. The product is a diagnostic report signed by a registered radiologist, with AI running inside the workflow as a pre-read, routing and quality-control layer. 5C Network is in this group; DeepTek spans both, pairing its AI tools with a teleradiology service.
The distinction matters because the buying decision is different. Software assumes you have radiologists to assist; a reporting service assumes you don't — or that you want to extend the ones you have. Comparing a triage algorithm's per-study licence against a signed-report price tells you nothing until you know which product solves your problem. If you are earlier in the research process, our overview of radiology AI for hospitals and the deeper radiology AI in India guide (including CDSCO regulation) are good starting points.
How we compared them
Six criteria separate serious platforms from demos. Use them as a checklist when you shortlist:
- What you actually receive. Alerts and scores, or a signed report? This single question sorts the whole market and determines everything downstream — staffing, liability, pricing.
- Clinical evidence. Peer-reviewed publications and independent validation, not accuracy claims in a brochure. Ask what the model was validated on, and whether that population resembles yours.
- Regulatory status. For deployment in India, CDSCO registration under the Medical Device Rules, 2017 is what counts. FDA and CE clearances signal maturity but do not by themselves authorise Indian clinical use.
- Coverage. Modalities (X-ray, CT, MRI, Mammography) and breadth of findings. Point solutions excel at one task; broad platforms trade some depth for coverage across the whole worklist.
- Workflow integration. PACS connectivity, worklist prioritisation, and whether the AI's output lands where radiologists and clinicians actually work — or in yet another viewer.
- India footprint. Local validation on Indian patient data, INR pricing, on-ground support, and compliance with the DPDP Act, 2023 for patient data.
The notable radiology AI companies serving India
Each company below is described neutrally, with its category stated up front. Capabilities evolve quickly in this market — verify current products and regulatory status directly with the vendor.
Qure.ai
AI software vendor · Mumbai, India · est. 2016
The most internationally recognised India-built radiology AI company. Its qXR chest X-ray product is WHO-prequalified for tuberculosis screening and deployed in public-health programmes across 90+ countries; qER provides head-CT triage for critical findings such as stroke and haemorrhage, and qCT covers lung CT. Qure.ai is a software company — it provides detection and triage that your radiologists act on, not final reports. See our 5C vs Qure.ai comparison for a head-to-head.
DeepTek
AI software + reporting · Pune, India · est. 2017
A Pune-based company that spans both sides of the market: AI screening tools — its chest X-ray TB-screening solution is recommended by the World Health Organization, and its Genki platform runs on mobile screening vans — alongside a teleradiology reporting service with its own radiologist panel and an AI-enabled cloud PACS workflow (Augmento). DeepTek is particularly associated with public-health and government screening programmes. See 5C vs DeepTek for the detailed comparison.
CARPL.ai
AI validation & deployment platform · incubated at Mahajan Imaging
Not an algorithm builder but a marketplace and orchestration layer: CARPL lets hospitals discover, validate, deploy and monitor a wide range of third-party AI applications through one platform. For institutions that want to trial several tools — including international vendors — against their own data before committing, it solves a real evaluation problem that individual vendors cannot.
Aidoc
AI software vendor · Tel Aviv, Israel · est. 2016
The best-known name in “always-on” emergency AI triage, with an extensive portfolio of FDA-cleared algorithms for critical findings — stroke, pulmonary embolism, intracranial haemorrhage and more, primarily on CT. Aidoc flags urgent cases and reprioritises worklists for your radiologists; it does not generate reports. Its deployments are concentrated in the US and other Western markets, with limited India operations. See 5C vs Aidoc.
Lunit
AI software vendor · Seoul, South Korea · est. 2013
A specialist in cancer-detection AI: INSIGHT CXR for lung nodules on chest X-ray and INSIGHT MMG for breast cancer on mammography, both with FDA and CE clearances and strong published evidence in screening contexts. Lunit is deliberately narrow — probability scores for cancer detection that a radiologist interprets — rather than a broad-findings platform, and its India presence is still growing. See 5C vs Lunit.
Annalise.ai
AI software vendor · Sydney, Australia · est. 2019
Takes the opposite approach to point solutions: comprehensive-findings AI, with chest X-ray and brain CT products that each cover 130+ findings in a single pass, cleared by the FDA, CE and Australia's TGA. Like the other software vendors, it surfaces findings for your radiologists rather than producing reports, and its India footprint is limited relative to its home and Western markets. See 5C vs Annalise.ai.
5C Network
AI-native reporting service · Bangalore, India · est. 2017
India's largest AI-native radiology company, and the main Indian representative of the reporting-service model (covered in depth below). Its Bionic AI pre-reads every study; an NMC-registered radiologist reviews, edits and signs it. 2,000+ facilities, 15,000+ scans a day, roughly a 30-minute average turnaround across X-ray, CT, MRI and Mammography.
This is not an exhaustive list — the market also includes imaging-equipment makers with bundled AI, and several smaller Indian startups. We've focused on the names hospitals and clinicians most often encounter when researching radiology AI for India. For the adjacent question of full reporting providers, see our companion guide to the top teleradiology companies in India.
Where 5C Network fits
5C Network was founded in 2017 in Bangalore by Kalyan Sivasailam and Syed S Ahmed. What distinguishes it in this list is that it builds its own clinical AI but sells the outcome, not the algorithm — hospitals get signed reports with AI embedded in every step, rather than a licence to another tool their radiologists must learn.
- AI evidence. The Bionic AI achieves 0.93 F1 across hundreds of pathologies, backed by peer-reviewed and arXiv-published research rather than marketing claims alone.
- Hybrid intelligence. Every study runs through a Bionic AI pre-read, is interpreted and signed by an NMC-registered radiologist (subspecialty-matched where needed), and passes a QC layer. AI never reports alone.
- Scale. 2,000+ hospitals and facilities, 15,000+ scans read per day, and 20M+ studies reported to date — India's largest AI-native radiology reporting operation by volume.
- Turnaround. An average of about 30 minutes, against a 24–48 hour industry standard — including nights, weekends and holidays.
- Radiologist panel. Around 400 board-certified, NMC-registered radiologists with subspecialty depth across neuro, MSK, cardiac, oncology and breast imaging.
- Compliance. ISO 27001 (information security), ISO 13485 (medical devices), ISO 9001 (quality) and ISO 27701 (privacy) certified.
- Modalities. X-ray, CT, MRI and Mammography, with subspecialty routing built into the workflow.
The honest framing: if your radiologists are staying in-house and you want a specific detection capability — TB screening, stroke triage, mammography scoring — a software vendor above may fit better. If you want the report itself delivered, with AI doing the heavy lifting under a radiologist's signature, that is the product 5C builds. The full picture is on the radiology AI page, with head-to-head detail on the comparison hub.
How to choose for your hospital
Match the provider type to the problem you are solving:
- You run a screening programme (TB, public health). Look first at Qure.ai and DeepTek — both WHO-recognised for chest X-ray TB screening and built for programme-scale deployment.
- Your in-house radiologists need triage or a second pair of eyes. Evaluate the software vendors — Aidoc for emergency CT triage, Lunit for cancer detection, Annalise.ai for broad-findings coverage — and insist on validation against your own case mix.
- You want to compare several AI tools before committing. An orchestration platform like CARPL lets you trial and monitor multiple vendors through one integration.
- You need reports delivered, not software installed. An AI-native reporting service like 5C Network gives you the AI and the signed report in one workflow — no separate radiologist arrangement required.
Whichever route you take: verify CDSCO registration and device class, ask for the clinical validation evidence, confirm DPDP Act compliance for patient data, and run a paid or free trial on your own studies before signing. For the regulatory detail, see the radiology AI in India guide.
Frequently asked questions
Which is the best radiology AI company in India?
There is no single best — the answer depends on what you are buying. If you want detection software for your own radiologists, Qure.ai is the most internationally recognised India-built vendor, DeepTek is strong in TB and public-health screening, and CARPL lets you evaluate many third-party tools at once. If you want AI plus a final signed report, 5C Network is India's largest AI-native radiology company — a Bionic AI pre-read reviewed and signed by NMC-registered radiologists, covering 2,000+ facilities at roughly a 30-minute average turnaround.
What is the difference between a radiology AI software company and an AI reporting service?
A radiology AI software company sells algorithms: the tool flags or triages findings, and your own radiologists still interpret the study and sign the report. An AI-native reporting service delivers the finished product — a diagnostic report signed by a registered radiologist, with AI built into the workflow. Qure.ai, Aidoc, Lunit and Annalise.ai are software vendors; 5C Network is a reporting service; DeepTek does elements of both. Most 'best radiology AI companies' lists mix the two, which makes vendors hard to compare.
Will AI replace radiologists in India?
No. In India, every diagnostic imaging report must be interpreted and signed by a registered radiologist — AI is not authorised to report autonomously, and no serious vendor positions it that way. In practice AI acts as a pre-read, triage and quality-control layer that helps radiologists work faster and miss less. Given India has far fewer radiologists per capita than Western countries, the realistic near-term future is radiologists working with AI, not being replaced by it.
Is radiology AI regulated in India?
Yes. AI software intended for diagnostic use is treated as software-as-a-medical-device (SaMD) and regulated by the Central Drugs Standard Control Organisation (CDSCO) under the Medical Device Rules, 2017, with explicit SaMD provisions added in the 2023 amendment. Most radiology AI products fall into Class B or Class C and require CDSCO registration via an Indian licence holder. Patient data handling additionally falls under the Digital Personal Data Protection Act, 2023. Before buying, ask the vendor for their CDSCO registration number and device class — an FDA or CE mark alone does not cover India.
Which radiology AI companies work on TB screening in India?
Two Indian companies are most associated with AI-assisted tuberculosis screening. Qure.ai's qXR chest X-ray product is WHO-prequalified for TB screening and deployed in public-health programmes across 90+ countries. DeepTek, based in Pune, has a chest X-ray TB-screening solution recommended by the World Health Organization and works with government screening programmes, including mobile-van deployments. Both are screening and detection tools — a clinician or radiologist still confirms the diagnosis.
Do global radiology AI companies like Aidoc, Lunit and Annalise.ai operate in India?
Their products are sold globally and technically deployable in India, but their India presence is limited compared with their home and Western markets, and pricing is typically enterprise subscription licensing in foreign currency. Indian hospitals evaluating them should check CDSCO registration status, local support, and whether the models have been validated on Indian patient populations. Some institutions use an evaluation platform such as CARPL to trial several international tools before committing.
Is 5C Network a radiology AI company?
Yes — with a difference in what it sells. 5C Network, founded in 2017 in Bangalore, builds its own clinical AI (Bionic, which achieves 0.93 F1 across hundreds of pathologies, backed by peer-reviewed and arXiv-published research) but delivers it as part of an end-to-end reporting service: the AI pre-reads every study, an NMC-registered radiologist reviews, edits and signs it, and a QC layer checks the output. Hospitals receive final signed reports rather than software licences.
Evaluating radiology AI for your hospital?
Tell us your scan volume, modality mix and what you need the AI to do, and we'll show you how 5C's hybrid-intelligence reporting compares — AI pre-read, radiologist sign-off and QC in one workflow, with the first 10 cases free so you can judge the output yourself.
