SigTuple

SIGTUPLE

SigTuple builds intelligent screening solutions to aid diagnosis through AI-powered analysis of visual medical data.

How SigTuple helps

SOLUTIONS

We’re building an artificial intelligence (AI) platform called Manthana (मंथन) which helps us analyse visual medical data efficiently. Manthana has enabled us to work on five major high-volume, screening processes of the healthcare industry – analysis of peripheral blood smears, urine microscopy, semen, fundus & OCT scans and chest x-rays.

SHONIT

Shonit™ : is a complete peripheral blood smear analyser solution which automates the routine tasks like differential counts. Additionally, it provides a screening solution for various parasitic infections like malaria and disorders like anaemia. It starts by capturing images of blood smear slides with a phone fitted on a microscope. The images are analysed on cloud using state of the art image processing and deep learning techniques. Finally it generates reports containing differential blood counts, visualisations on various blood metrics and suggestions about any abnormalities. The report can then be reviewed by pathologists on any net connected device, from anywhere in the world, making this product useful for areas having a dearth of specialists.

Status : Shonit has undergone 3 clinical validations and is being used in a closed beta by our partners.

SHRAVA

Shrava: After serum chemistry and blood, urine analysis is the most common pathology test. Our urinalysis solution detects substances like crystals and casts, cellular material like epithelial cells, RBCs and WBCs, and also calculates related volumetric parameters. The presence of these bodies in urine are indicative of a host of metabolic and kidney disorders. In urine microscopy the sample is liquid and multilayered unlike blood. This poses a greater challenge in the image capturing process.

Status: Shrava is nearing clinical validation stage

AADI

Aadi – Semen analysis is one of the core aspects in infertility investigations for measurement of male fecundity in clinical andrology. Our capability, Aadi, uses state-of-the-art artificial intelligence techniques to estimate pivotal parameters of ejaculated human spermatozoa like progressive motility, concentration and morphological characteristics. These parameters aid andrologists to correlate with clinical findings and help them to predict the ability of the spermatozoa to fertilise the oocyte.

Status: Aadi is nearing clinical validation stage

DHRISHTI

Dhrishti (Retinal Scans Analysis) – The scope of the Retinal Scan Analysis solution covers two major imaging modalities used by ophthalmologists to examine the inner eye (retina).

Fundus Photography: This captures images of the fundus (back wall) of the eye – covering the retina, the optical disk and the macula. This is the more popular screening procedure of the two.
Optical Coherence Tomography (OCT) Images: This provides high resolution cross sectional views of the internal retinal tissue of the eye. This is a more recent development and hasn’t caught on as much as fundus photography, specially in developing countries like India.

This solution aims to use computer vision and artificial intelligence techniques to identify and localise base pathologies and abnormal structures in both fundus and OCT scans. These findings can be used to provide various diagnostic indications to the ophthalmologist about the patient.

Status: Retinal Scan analysis is in product development. The research phase is complete.

VAKSHA

Chest X-Ray Analysis – The chest x-ray is the most common diagnostic scan performed in radiology. It reveals images of the heart, lungs, blood vessels, ribs, etc. We are building a screening solution for chest x-rays, which separates the normal cases from those having abnormalities. It points out the abnormalities (fractured ribs, lung infections, etc.) when present. The solution works on digital x-ray images from any standard x-ray machine.

Status: Chest x-ray analysis is in research.

Technology

Manthana was created, from ground-up, to be a continuously improving, automatically upgrading platform which enables digitisation, management and analysis of visual medical data. We aim at training various kinds of AI models on it, and wish to provide an insightful and interactive report to medical specialists.

Management & Discovery

Ingestion, management and smart search on various kinds of medical visual data from multiple partners.

Processing & Analysing

Processing and analysing the visual data using varied computer vision and artificial intelligence techniques.

Native AI Support

All types of AI techniques are supported – statistical, machine learning and the recent advancements in deep learning space.

Annotation & Verification

Annotation of all unlabelled visual data and verification/correction of output predictions of various models by medical consultants.

Continuous Learning

Retraining of AI models with incremental corrections and additions to improve their performance.

Insightful Analysis

Analysing unseen medical images by invocation of one or many AI models on them and providing an insightful and interactive report to the doctor.

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Partners

HEALTHCARE

We dramatically improve speed, accuracy and consistency of a number of screening processes. Medical institutions can now serve more patients, with a significant reduction in human errors. Patients can now be more confident in the quality of healthcare delivery.

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PATENTS & PUBLICATIONS

With a note-worthy technology invention that is changing the medical course in India, we have various publications in several medical and computing journals, documenting the significant impact the technology has on the medical industry. SigTuple also has filed for several patents in order to protect our technology.

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INVESTORS

A massive growth in the potential market for our technology has had the founders of Flipkart, venture capital giant Accel Partners, and other investors join us in our journey.

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ADVISORS

Advisors are the building blocks of the company and prove to be the strategic partners of SigTuple. Well known intellectuals belonging to industries, like Biotech, Healthcare, Law and Ethics, Clinical Planning, and Drug Development have joined hands with SigTuple to offer their best guidance.

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MEDIA

Media

Funding disruptive AI & ML Startups : CNBC TV 18 covers pi Ventures

pi Ventures

CNBC TV18’s Young Turks explores the thesis behind pi Ventures’s Investments and how two portfolio AI startups Niramai & Sigtuple are changing the healthcare space through disruptive use of AI.

30 Oct 2017

Nvidia identifies the top 5 AI startups for social impact

VentureBeat

With so many deadly diseases out there, you need a lot of medical tests. SigTuple, an Indian startup, wants to use AI to dramatically improve the speed, accuracy, and consistency of various screening processes. It wants to enable doctors to serve more patients, with fewer errors. And it wants to give patients more confidence in the medical system.

23 Apr 2017

Not another AI post

Tech Crunch

Rohit Kumar Pandey, Tathagato Rai Dastidar and Apurv Anand want to solve the problem caused by the chronic shortage of trained medical practitioners. They are part of the team that founded SigTuple, an Indian startup that is building a platform to provide healthcare solutions by detecting different diseases using machine learning software. It promises to automatically analyze medical images and data to aid diagnosis.

26 Feb 2017

How real is the Artificial Intelligence startup wave?

Economic Times

There is a growing gap between the number of patients and doctors across the world,” says Pandey. “Although a lot of work is being done to bridge the gap, there is a need for an intelligent, effective and scalable solution.” SigTuple is building a series of cloud-based screening tools to increase the efficiency and outreach of the healthcare industry.

03 July 2016

Team

Rohit Kumar Pandey

Co-founder & CEO

Rohit Kumar Pandey is a “technology enthusiast” who enjoys challenging tasks. He is passionate about delivering value powered by technology. Rohit holds a master’s degree in Information Technology from IIIT, Bangalore. Before starting SigTuple, he held different technical leadership positions in Big Data Labs at American Express and built strong research and development teams to deliver enterprise platforms, tools and capabilities.

Apurv Anand

Co-founder & CTO

Apurv Anand hates talking about himself. Writing this bio is the toughest thing he’s done in recent years. He graduated from the Indian Institute of Technology, Delhi with a bachelor’s degree in Computer Science and Engineering. Since then he has worked at Qwest, Yahoo!, Veveo and the Big Data Labs at American Express. He has been seeking मनोरंजन in all his endeavours.

Tathagato Rai Dastidar

Co-founder & CSO

Tathagato Rai Dastidar, better known as “Tatha”, is a tech industry old timer of 15+ years. He co-founded SigTuple in 2015, driven by his passion to apply advanced artificial intelligence techniques towards healthcare. A B.Tech. and Ph.D. in Computer Science from IIT Kharagpur, he has held technical leadership positions in various organisations including Yahoo!, American Express and Gracenote primarily in the fields of search, big data, machine learning and image processing.

He also had a brief stint as an entrepreneur, having co-founded a startup (AgO Synthesis) in the EDA/VLSI domain in 2007.

Meet The Full Team

Careers

Insights

The indiscriminate path to increase human knowledge can be found here. Our vision is to grow into an institution, make a change, and impact lives with awareness and forethought.

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