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.
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.
SigTuple Technologies, which raised $5.8 million this month from several investors, is developing solutions to digitise pathology labs using artificial intelligence (AI) and machine learning.
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.
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.
A solution like Shonit promises much-needed change. It can dramatically improve speed, accuracy and consistency of blood diagnostics (semen and urine diagnostics are coming soon). Labs can service more patients and human errors can be significantly reduced. But, more importantly, pathologists can access data remotely and sign off on reports — a massive step to bringing diagnostic access to remote parts of the country.Easier said than done, though.
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.
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.
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.