We are an Artificial Intelligence (AI) Healthcare company focused  on improving quality of diagnosis and care across areas of life sciences.

Every 5 sec

SOMEONE IS GOING BLIND

80

% OF ALL BLINDNESS IS AVOIDABLE

215000

OPHTHALMOLOGIST's WORLDWIDE

700

MILLION + POPULATION AT RISK

Netra.AI – A Comprehensive Ophthalmology Platform

Netra.AI uses cutting edge Algorithms with a 4 step Deep Convolution Neural Network (DCNN). Algorithm is developed in guidance with some of the leading experts in Retina globally. Netra.AI enables automated and point of care Retinal Image Analysis.

  1. Reduce incidence of blindness by timely identification of patients at risk
  2. Offer insights to medical practitioners thus enabling improved diagnostic outcome
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Netra Screen

Netra Screen is designed to transform Retinal Screening (in individual outpatient settings or mass screening platforms) with a scalable, low cost, fast and accurate automated risk profiling powered by Artificial Intelligence!

Accessed through cloud-based web portal or direct integration with the Fundus camera application, Netra Screen analyses fundus photographs within minutes for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma*, AMD* and a host of other retinal conditions*

Image Quality: With real-time image quality assessment, Netra Screen can virtually eliminate loss arising out of poor images

Lesion annotation: Netra Screen provides a great patient education tool along with insights to users

Advanced tools: Blood vessel segmentation and image post processing empower users and specialists with greater insights to make fast and accurate diagnosis

An optional triage by trained specialists is also available to review referable cases through Netra Tele platform.

Netra Track

Netra Track enables doctors and patients to manage and view retinal changes over time.
Netra Track maintains records of retinal images and automatically detects and highlights changes upon every followup visit, enabling better visualization and control over disease progression.

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Netra API

The solution is targeted at device manufacturers, EMR companies, HIS companies. Netra API  seamlessly integrate with existing health care systems and devices and automate the grading process.

Target Customers
1) Software Solution Provider – Electronic  Health Records, Electronic Medical Record, PACS provider for Hospital and clinics , Tele medicine Software Providers.
2) OEM – Retina Camera Manufacturers

Value Proposition
1) Product Value Enhancement – White Label
2) Smart Devices
3) Reduced specialist load

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Value Proposition

Optometrists

Differentiate from just routine visual acuity screen

Offer greater value to your customers with retinal scans at minimal cost

Diagnostic Centres

Offer in house retinal screening, create a new channel of customers

Add more value to Health Check-Ups (Retail and Group) with the much needed, often neglected retinal screen

Differentiate from competition

Wellness Providers

Offer in house retinal screening, create a new channel of customers

Add more value to Health Check-Ups (Retail and Group) with the much needed, often neglected retinal screen

Differentiate from competition

GPs, Clinicians, Diabetologists

Build a great patient experience with in-house real time retinal screens and disease monitoring

Save costs on referrals or tele ophthalmology solutions

Empower patients with actionable insights on disease progress and compliance

Diagnose and treat early, before it is too late

Ophthalmologists

Saves time and cost with faster screening

See the right patient, see more patients

AI – as a real time, virtual second opinion at the click of a button

Retina specialists

Saves time and cost with faster screening

See the right patient, see more patients

AI – as a real time, virtual second opinion at the click of a button

Non Governmental Organization

Mass screening at a never before convenience, reach and cost efficiency

Screen more people, diagnose and treat early

Governmental Agencies

Mass screening at a never before convenience, reach and cost efficiency

Screen more people, diagnose and treat early

Social Impact organizations

Mass screening at a never before convenience, reach and cost efficiency

Screen more people, diagnose and treat early

About Us

About Us

Founded in late 2016, Leben Care offers automated medical image analysis algorithms that improve access and quality of diagnosis across areas of life sciences.

Our Vision

Our mission is to develop artificial intelligence products and solutions that improve access and quality of diagnosis across areas of life sciences.

Our vision is to be recognized as an innovative technology company with strong research orientation & focus on solving real world problems that have large social and economic impact.

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Team

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Nitin Srivastava

Co-Founder and CEO

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Theenathayalan Parthasarathy

Founder and CDO

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Imran Akthar

Founder and CTO

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Gurunath Bhuvanagiri

Chief Architect and AI Scientist

DrHari

Dr. Hariprasad Jayaraj

SVP - Partnerships and Research

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John Baby

VP - Regulatory Affairs

NaveenKumarGandla

Naveen Kumar Gandla

Deep Learning Engineer

RiyajIlaiAtar

Riyaj Atar

Deep Learning Engineer

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Dr. Bala Kumble

Technology Advisor

DrJohn

Dr. John Davis Akkara

Clinical Advisor

Careers

We are looking for talented, dynamic individuals who want to join us in this exciting journey in developing path breaking AI Platforms. We are amplifying the use of deep machine learning to solve healthcare problems in Ophthalmology. Our company culture values talented team members, rewards innovation, and celebrates success.

Please send your resume and a self introduction to hr@leben.ai

We are assembling a world-class AI RnD team to enhance our Netra.AI platform enabling next generation of medical imaging diagnostic for Ophthalmology.

Desired qualifications

Master’s Degree or PhD – Computer Science, Artificial Intelligence.

Minimum Requirements

Hands on Experience in implementing deep learning architectures using latest machine learning tech and frameworks.

Existing track record as a researcher in machine learning with published scientific journal.
Responsibilities

Design and build novel machine learning models to solve unique medical problems and improve patient outcomes.

Test and evaluate algorithms on large medical datasets to prove robustness

Deliver high quality and production-ready code
Desirable Skills

Solid Python and C++ experience and Linux user.

Solid mathematical background.

Experience with a vast set of computer vision libraries.

Deep understanding and hands-on experience in state-of-the-art Medical Image Analysis algorithms will be a plus.
What we offer for your valuable work:

Employee Stock Option Plan

Location

Hyderabad

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “Principal Machine Learning Engineer” in the subject line.

Desired qualifications

Bachelor’s Degree in Engineering, Science, or health-related field

Minimum Requirements

Working knowledge of CE,FDA and other regulatory authorities

FDA Regulatory submission experience (510ks, PMAs, IDEs)

Quality Systems development, implementation, and training experience

Experience with ISO 13485, FDA, MDD (EU Medical Device Directive)compliance requirements.

Experience with FDA remediation, Warning Letters, 483 Observations, and Recalls a plus

Must be able to work independently and have ability to work with cross-functional teams

Responsibilities

Develop and maintain submissions to regulatory agencies required to allow Leben products to be sold in all regions and markets. (FDA, CE)

Develop and maintain the Leben QMS and supporting procedures to adhere for ISO 13485, as well as FDA , European (CE Mark)requirements

Manage QA and QC team and ensuring their adherence to producing a quality product.

Develop product documentation for regulatory submissions.

Desirable Skills

Sound understanding of Quality Assurance methods.

Proficient in the Microsoft family of products.

Familiarity with defect tracking software packages.

Location

Hyderabad

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “Quality Assurance and Regulatory Manager” in the subject line.

The ideal candidate should be detail oriented,proactive, excellent verbal and written communication skills, ability to multi task , preventive approach to problem solving and work independently.

Desired qualifications

Bachelor or Master Degree in Computer Science or similar

Minimum Requirements

Operational support experience and available 24×7 on-call for service incidents

Experience in Systems troubleshooting and root cause analysis

DevOps and deployment pipeline

Software development and automation experience

Experience in operating and troubleshooting AWS/Google Cloud environments

Application development in an Agile(Scrum) environment

AWS and/or Google Cloud certifications

Responsibilities

Identify and develop opportunities to improve our processes and tools specifically for Automation.

Perform smoke/sanity tests for the applications deployed and also troubleshoot the application.

Learn the architecture of all the applications to help trouble shoot.

Periodically analyze the hardware and software capacities of build infrastructure and provide appropriate recommendation.

Write and review code,documentation ,capacity plans, and identify root cause.

Desirable Skills

Experience with Script automation – Ant, Maven, nAnt, Shell, Perl, Chef, Ansible – Source Repo – Subversion, GIT/Stash and Bitbucket administration and deployment skills – Web Server – nginx , Apache – Productive Tools – Bamboo, Jira, and Confluence – Database – mySQL, Mongo,Redis

Location

Hyderabad

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “DevOps Systems Engineer” in the subject line.

The ideal candidate should have strong background in software architecture, requirement analysis, and experiences working with back-end and front-end tech stacks.

Desired qualifications

Bachelor or Master Degree in Computer Science or similar

Minimum Requirements

5+ years of full-stack software development experience. Experience with React/Redux or similar JS frameworks.

Responsibilities

Build and maintain AI Platform and scalable Web services with JavaScript/Node.js.

Working with a variety of tech stacks and third-party APIs.

Collaborate with product and tech team.

Work in an Agile-like, iterative development process.

Conduct code reviews to ensure compliance with quality standards.

Design and implement elegant and scalable software systems.

Desirable Skills

Database: SQL and NoSQL

Version control and effective collaborative development tools.

Quickly fix bugs and solve problems in large, complex apps.

Containerization using Docker and Container orchestration using Kubernetes

Distributed, high-volume web applications

Location

Hyderabad

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “Full Stack Engineer” in the subject line.

Leben Care is offering 3/ 6/ 9 month internships  in the areas of deep machine learning and computer vision . The internships will require novel research as well as development for solving challenging problems . We are seeking qualified and highly motivated graduate students (Masters, PhD) interested in working on these problems.

The interns will have an opportunity to work on large public domain datasets; publish in top-tier conferences such as CVPR, ICCV, ECCV, NIPS, ICML and SIGGRAPH; work with business-proprietary use cases and datasets leading to inventions and patents.

Qualifications/ Experience

  • A BS/ MS degree in Computer Science, Electrical Engineering or related field.
  • Hands-on experience in machine learning / computer vision . Prior publication record in relevant top-tier conferences/ journals highly desirable.

Technical Skills

  • Proficiency in C, C++, Python. Experience using OpenCV, Caffe, Theano / Torch.
  • Experience on application development in Linux/ Windows desirable.

General Skills

  • Excellent communication, problem-solving and analytical skills, ability to learn quickly.
  • A strong passion for empirical research and for answering hard questions with data.
  • Ability to work both autonomously and in a team.

Number of Positions

2

Location

Hyderabad, India

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “Machine Learning Intern” in the subject line.

Partners and Collaborators

Please reach out if you’re interested in implementing Leben Care Technology Platforms, contributing anonymized data or clinical insights to our research, or working with us to develop groundbreaking products.

Certification

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*Disclaimer: The NETRA.AI Platform and Solutions described in these pages are for investigation use only and are not available for clinical use. The product has not been reviewed by the Food and Drug Administration or any other regulatory body. Additional review may be necessary before a product can be offered commercially. Leben Care is evaluating the regulatory requirements for its products in development.

About Us

We are an Artificial Intelligence (AI) solutions company with focus on improving quality of diagnosis and care across areas of life sciences.

Stay up to date with the latest news from Leben.AI

Contact Us

Leben Care Technologies Pte. Ltd.

77 High Street, #04-10 High Street Plaza

Singapore 179433.

info@leben.ai

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