Media Features

Media
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.

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23 Apr 2017
Digitising diagnostic services

Business Standard

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.

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27 Feb 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.

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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.

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03 July 2016
This AI pathologist could be a life-saver for India’s ailing diagnostics sector

Factor Daily

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.

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12 Jan 2017
Koramangala ecosystem helps explore business synergies

Economic Times South

With a vision to apply artificial intelligence towards analysis and screening of medical images, SigTuple was introduced in April 2015. SigTuple, a healthcare Startup was started by three enthusiastic young techies Tathagato Rai Dastidar, Rohit Kumar Pandey and Apurv Anand. Co-founder, Rohit Kumar Pandey talks about his entrepreneurial journey and future plans for the venture.

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20 June 2016
SigTuple raises seed fund from Flipkart founders, Accel Partners and other angel investors

Economic Times

Bengaluru-based medical technology startup SigTuple, which was founded by former American Express executives, has received a round of seed investment from wide-ranging and prominent investors including Flipkart founders Sachin and Binny Bansal, venture capital giant Accel Partners and other angel investors.

22 Feb 2016
Flipkart founders, Accel Partners back med-tech startup SigTuple

VC Circle

Medical-technology startup SigTuple Technologies Pvt Ltd has raised seed funding from Flipkart founders Sachin Bansal and Binny Bansal, venture capital firm Accel Partners and other angel investors, the company said without disclosing the amount.

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22 Feb 2016
Med tech co SigTuple raises Rs 38.6 cr to develop affordable disease screening solutions

Economic Times

SigTuple, an artificial intelligence-based medical technology startup, has raised $5.8 million (Rs 38.6 crore approximately) led by Accel Partners.

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13 Feb 2017
SigTuple raises $5.8 million

Live Mint

Bengaluru-based health technology start-up SigTuple Technologies Pvt. Ltd. has raised $5.8 million in series A round of funding led by existing investor Accel Partners, the company said on Monday.

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13 Feb 2017
An artificially intelligent pathologist bags India’s biggest funding in healthcare AI

Tech In Asia

Even a layman can see the self-learning AI engine at work, as it learns to classify and tag various elements in the images.

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13 Feb 2017