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

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Dr. Hariprasad Jayaraj

SVP - Partnerships and Research

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John Baby

VP - Regulatory Affairs

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Dr. Bala Kumble

Technology 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 putting together a world-class research and development team to build a platform enabling next generation of medical imaging diagnostic.

Desired qualifications

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

About You

You have experience in implementing best breeds of deep learning architectures.

You have an important track record as a researcher in machine learning and have published impactful journal papers.

Experience and mastery of scientific programming and libraries relevant to your field for example: Theano, TensorFlow, Caffe , Lasange , Keras ,NumPy etc.

Experience with at least one of the following programming language: Python, C++.

Experience in delivering high-quality production code and continuously learning the best practices to turn research into delightful products.

Staying up-to-date on the scientific literature in your field, and even contributing to it by publishing in famous journals and conferences.

Proven and demonstrated implementation skills (putting theory into practice).

Self-driven energetic, creative and ability to work in international teams.

Once you are here you will

Your primary mission is to put machine learning algorithms into practice, while growing your own expertise in machine learning.

Implement novel algorithms in Computer vision techniques; deep learning and applications of machine learning on images and videos.

Keep up to date with the cutting edge of deep learning, and transition those techniques to the medical domain.

Design and build novel models to solve unique medical problems.

Leading a team of data scientists delivering AI based products for improved patient outcomes.

Skills

Python, Machine Learning, Statistics, Deep Learning

What we offer for your valuable work:

Highly dynamic, innovative, passionate, intrapreneurial team

Employee Stock Option Plan

Location

Hyderabad, India

How to Apply

Please send a cover letter and resume to hr@leben.ai. Please put “Principal Machine Learning 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.

Contact Us

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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, #09-14 High Street Plaza

Singapore 179433.

info@leben.ai

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