Company Intelligence

DeepTek AI

Pune radiology AI company combining US FDA-cleared Augmento workflow optimization with Genki population screening across X-ray, CT, and MRI

In this profile

Quick Facts

  • Founded 2017
  • Headquarters Pune, India
  • Country India
  • Industry AI in Healthcare
  • Founders Amit Kharat
  • Status Active
  • Website Official site
  • Last Reviewed Jul 2026

Executive Summary

DeepTek AI is a Pune-based medical imaging company founded in 2017 that applies artificial intelligence to radiology workflow optimization, teleradiology outsourcing, and population screening programs. Dr. Amit Kharat, a radiologist with MBBS, DMRD, DNB, and PhD credentials in musculoskeletal imaging, co-founded DeepTek and serves as radiology domain expert per the company about page reviewed in July 2026. DeepTek positions itself as democratizing radiology through close collaboration among machine learning engineers, radiologists, and product teams — building tools radiologists would actually use in daily practice.An August 3, 2025 official blog post describes DeepTek's AI-driven teleradiology outsourcing model supporting more than 1,800 hospitals and imaging centers across 21-plus Indian states with 24/7 hybrid AI-radiologist reporting, structured quantified outputs, and pay-as-you-use economics — operational scale evidence beyond laboratory algorithm benchmarks.

Why It Matters

DeepTek's August 2025 teleradiology blog documents hybrid AI-radiologist outsourcing at 1,800+ Indian sites — evidence that medical imaging AI matured from pilot algorithms into pay-as-you-use reporting infrastructure with FDA-cleared triage at scale.

Products

Founders

Recent Developments

  1. 2025 Development

    August 3, 2025: Official blog on AI-driven teleradiology outsourcing supporting 1,800+ hospitals across 21+ Indian states.

    Source
  2. 2024 Development

    2024: Introducing DeepTek blog describes Augmento platform and Genki screening deployments (June 10, 2024).

    Source
  3. 2017 Development

    2017: DeepTek founded in Pune; radiology-AI collaboration model per company materials.

    Source
  4. 2017 Company founded

    DeepTek AI was founded in 2017 per the company profile source on file.

    Source

Connected Reports

Connected Insights

Industries

Technologies

Introduction

DeepTek AI is a Pune-based medical imaging company founded in 2017 that applies artificial intelligence to radiology workflow optimization, teleradiology outsourcing, and population screening programs. Dr. Amit Kharat, a radiologist with MBBS, DMRD, DNB, and PhD credentials in musculoskeletal imaging, co-founded DeepTek and serves as radiology domain expert per the company about page reviewed in July 2026. DeepTek positions itself as democratizing radiology through close collaboration among machine learning engineers, radiologists, and product teams — building tools radiologists would actually use in daily practice.

An August 3, 2025 official blog post describes DeepTek’s AI-driven teleradiology outsourcing model supporting more than 1,800 hospitals and imaging centers across 21-plus Indian states with 24/7 hybrid AI-radiologist reporting, structured quantified outputs, and pay-as-you-use economics — operational scale evidence beyond laboratory algorithm benchmarks.

What the company does

DeepTek’s Augmento platform provides radiology workflow optimization with FDA-cleared chest X-ray computer-assisted detection, multi-modality support across CT, MRI, and PET-CT, and seamless PACS integration per product and blog materials. The August 2025 blog outlines automatic triage of normal versus abnormal chest X-rays, AI-assisted structured reports prefilled for radiologist validation, and smart worklists prioritizing critical cases — a hybrid workflow DeepTek contrasts with traditional teleradiology that merely replicates human bottlenecks remotely.

Genki, DeepTek’s population screening stack, targets public health programs for tuberculosis and lung disease with portable deployments — including offline-capable screening cited in company materials where laptops connect to digital X-ray machines and return AI triage within seconds. DeepTek reports screening more than a million people through Genki in TB programs and partnerships with organizations including the Clinton Health Access Initiative in Chennai.

Who it serves

DeepTek serves hospitals facing radiologist shortages, state TB control programs, diagnostics networks outsourcing overnight coverage, and international customers across Malaysia, Indonesia, and Japan cited in company blogs. Buyers evaluate turnaround time, FDA clearance status for chest AI, and whether AI triage reduces radiologist reading load without increasing liability from unreviewed autonomous reports. DeepTek’s expert-in-the-loop model — radiologist feedback continuously improving models — addresses adoption skepticism from chairs burned by standalone AI that cannot handle domain shift in real clinics.

Company background

Kharat co-founded DeepTek alongside serial entrepreneur Ajit Patil and chief technology officer Ashutosh Pathak per aboutus.php. The leadership team blends radiology domain depth, technology exits, and healthcare sales experience — Pratosh Mathur leads sales with decades including GE Healthcare leadership. DeepTek’s June 2024 introducing blog describes strategic partners including NTT DATA, NVIDIA, GE Edison, and Nobori, reflecting an integration-heavy go-to-market in imaging ecosystems rather than standalone app stores.

Product and AI capabilities

DeepTek’s CXR Analyzer is described as a first-of-its-kind US FDA-cleared CADe solution highlighting suspicious regions with bounding boxes across lung, pleura, cardiac, and device artifacts. Models address domain shift detectors and foreign-object detection — deployment problems DeepTek emphasizes after field TB screening experience. Federated and split learning approaches appear in research materials to train on distributed data without raw patient record pooling.

Augmento’s cloud microservices bundle imaging AI, workflow AI, analytics walls, and communication command centers — broader than single-pathology chest models. The August 2025 teleradiology article positions this stack as infrastructure for 365-day reporting with hybrid quality controls rather than experimental copilots.

Key developments

2017: DeepTek founded in Pune with Kharat as radiology co-founder. 2024: Introducing DeepTek blog published June 10 describing Augmento and Genki scale. August 3, 2025: Teleradiology outsourcing blog citing 1,800+ hospital customers (official source). FDA-cleared CXR CADe and international regulatory marks listed on product pages reviewed July 2026.

Why it matters

DeepTek matters because radiologist supply constraints are global, but India’s imaging volume-to-specialist ratio makes AI-augmented teleradiology an economic necessity — not a research curiosity. Hybrid workflows with FDA-cleared triage and human sign-off are the procurement pattern mature enough for state TB programs and 1,800-site networks. Compare with European imaging AI such as Contextflow and thoracic quantification from Thirona — DeepTek owns multi-modality radiology operations at Indian scale.

Sector context

DeepTek AI belongs in Brel’s AI in healthcare coverage under medical imaging and teleradiology AI. Distinct from digital pathology microscopy vendors and outpatient EMR companies in this batch — PACS integration depth, FDA clearance scope, and radiologist liability workflows determine ROI. Public health buyers should pilot Genki offline screening paths; hospital buyers should benchmark Augmento triage against existing outsourced reading contracts.

Sources and references

DeepTek teleradiology blog (August 3, 2025) and About Us leadership page.

  • DeepTek — AI in modern teleradiology outsourcing (deeptek.ai, August 3, 2025)
  • DeepTek — About Us / Amit Kharat (deeptek.ai)

Reviewed July 10, 2026. Dr. Amit Kharat is co-founder and radiology domain expert. Founded 2017 in Pune. Confidence: High.

Official resources

Sources and references

This article draws on publicly available company information, official websites, filings, interviews, announcements, and other cited sources. Information may change over time.

Company information is based on publicly available sources and is reviewed periodically. If you represent this company and would like to request a correction, contact Brel.

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