Come join hands with SigTuple if you’re creative, innovative, and passionate about making our world a healthier place.
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.
Status : Shonit has undergone 3 clinical validations and is being used in a closed beta by our partners.
Status: Shrava is nearing clinical validation stage
Status: Aadi is nearing clinical validation stage
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.
Status: Chest x-ray analysis is in research.
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.
Ingestion, management and smart search on various kinds of medical visual data from multiple partners.
Processing and analysing the visual data using varied computer vision and artificial intelligence techniques.
All types of AI techniques are supported – statistical, machine learning and the recent advancements in deep learning space.
Annotation of all unlabelled visual data and verification/correction of output predictions of various models by medical consultants.
Retraining of AI models with incremental corrections and additions to improve their performance.
Analysing unseen medical images by invocation of one or many AI models on them and providing an insightful and interactive report to the doctor.
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.
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.
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.
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.
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.
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.
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.
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.
Come join hands with SigTuple if you’re creative, innovative, and passionate about making our world a healthier place.
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Is AI the Key to Diving Deeper into Images and Pathology?
mddionline.com
Two separate studies show how researchers are using machine learning to train computers to spot and classify cells just by analyzing medical images.
Indian scientists find a new technique to detect Chronic Kidney Disease- Technology News, Firstpost
firstpost.com
Indian researchers have developed a technique which can potentially help in rapid detection of chronic kidney disease (CKD).
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