Google Will Groom This 10 Indian AI Based Startups In 2019

Google has announced there the second batch of 10 Indian startups, that will be part of the Google’s Launchpad Accelerator mentorship programme in India.

All the startups outlined in the list of the second batch feature use artificial intelligence (AI) and machine learning (ML) in one or the other component of their businesses and production.

Last year in the month of December, Google has announced applications for its second class of Launchpad Accelerator program in India that was ended on January 31st, the first batch was announced in July last year.

Launchpad Accelerator India is a Google program specially build to support Indian startups that mainly use artificial intelligence (AI) and machine learning (ML) to create solutions to solve a problem in India.

Under Launchpad Accelerator India, like the first batch, the second batch will also be provided with the targeted programme, designed around the challenges of India, and how technologies like AI and ML can be leveraged to address their scale and complexity.

The top 10 startups of the second batch will also undergo through an intensive one-week mentorship bootcamp organized by Google in Bengaluru which will be followed by more classes in April and May to address more specific issues, lasting a total of three months.

Recommended: 5 Best AI Movies That Will Boost Your Imagination In 2019

“Given the growing maturity of India’s startups, our programme focuses on providing startups with incremental knowledge and tools, gleaned from our experience of building products for users around the world,” said Paul Ravindranath G, programme Manager, Launchpad Accelerator programme, India, Google.

Apart from guidance, the startups will also receive financial and virtual support based on their needs.

Google will also provide support for AI and ML, cloud computing, developing user interfaces, using the Android platform, online presence, product strategy, and marketing.

And depending on the startup, they will be receiving Google Cloud Credits between $20,000 (₹1.3 million) to $100,000 (₹6.9 million).

Below is a list of the startups that were chosen for the second batch of Google Launchpad Accelerator.

1. Opentalk

Opentalk is an app to talk to new people around the world, become a better speaker and make new friends. It allows users to reach out to other users all over the world to hone their language skills.

So users can meet new people that speak the language that they’re looking to learn. They also have the options for users to follow trending topics in case their looking to engage on a particular issue.

OpenTalk already has 100 languages, 150 countries and 1500 colleges using their app.

2. THB

THB is a healthcare-oriented startup that helps healthcare providers to organize and standardize healthcare information to drive clinical and commercial analytical applications and use cases such as medical sales force productivity booster and clinical decision support.

The THB stands for Technology, Healthcare, and Big Data Analytics. Their name is a straight forward introduction of there work, by the use of these technologies they standardize data on healthcare.

Based out of Gurgaon, the clinical intelligence company is currently present in 50 cities across 12 states in India.

3. Perceptiviti Data Solutions

Perceptiviti Data Solutions is an AI-based platform for insurance claim flagging, payment integrity, and fraud and abuse management.

The startup mainly focuses on finding solutions for fraud and risk management in insurance, financial services, and digital payment services.

Their flagship product called ‘Sherlock’ is a fraud detection platform that claims 90% accuracy after having assessed over one million insurance claims using AI.

Perceptiviti Data Solutions was started in 2017.

4. DheeYantra

DheeYatra is a cognitive conversational AI for Indian vernacular languages. It is already used by the Syndicate Bank and Indian Institute of Management Ahmedabad.

It’s an AI platform that currently helps businesses operate across 8 different Indian languages.

With the help of AI, the company has developed chatbots and solutions in natural language processing (NLP), optical character recognition (OCR), and Indic Transliteration. Brand names, scanned images and even a whole website can be translated into various Indian vernacular languages using their application programming interfaces (APIs).

Recommended: New Machine Learning Model Helps To Predict Volcanic Eruptions

5. FinancePeer

FinancePeer is a peer-to-peer (P2P) lending company that connects lenders with borrowers online.

Users can sign up as borrowers or lenders after the platform analyses their borrower credit score using AI that taps into multiple parameters including social profiles.

The company claims that it only takes 10 minutes to set up a profile online and since it’s an open marketplace, borrowers will only face competitive and low-interest rates. Lenders, on the other hand, can allegedly get returns up to 37% per annum.

6. SmartCoin

SmartCoin is an app for providing credit access to the vastly underserved lower- and middle-income segments through advanced AI/ML models.

SmartCoin uses AI and machine learning to assess the risk profile of a borrower. The app main goal is to provide short-term credit to the underserved and low-income households in India.

So far, SmartCoin has 100,000 users and has shelled out over 300,000 loans.

7. HRBOT

HRBOT uses AI and video analytics to find employable candidates in tier 2 and tier 3 cities, remotely.

HRBOT is capable of can the 120,000 job seekers on its platform to find applicants that would be best suited for a particular post according to the requirements that recruiters share.

8. Savera.ai

Savera.ai is a service that remotely maps your roof and helps you make an informed decision about having a solar panel or not.

The ‘Sun Score’ is the final ranking of how ready an individual’s house is for a solar panel after analyzing the location of a users’ house, identifying the rooftop, running a weather analysis and taking individual state’s solar policy into account.

And, should a user choose to set up a solar panel, savera.ai has chatbot support to get them set up with local service providers.

9. Kaleidofin

Kaleidofin is customized financial solutions that combine multiple financial products such as savings, credit, and insurance in intuitive ways, to help customers achieve their real-life goals

This is essentially a financial management tool. Users can set their financial goals and Kaleidofin will suggest how much user should be saved each month while taking financial volatilities into account.

Since the profile is tailored for each user, how a user’s savings should be used is also diversified over different financial products including ways to invest using a data-driven model to estimate the income level, saving capacity and financial health of customers.

It’s already being used by many mutual funds in India like Aditya Birla Capital, Franklin Templeton Investments, HDFC Mutual Fund, ICICI Prudential Life Insurance, and SBI Mutual Fund.

10. Adiuvo Diagnostics

Adiuvo Diagnostics is a rapid wound infection assessment and management device.

The company isn’t just an app or a platform but has an actual physical device which can detect and classify skin infections in under 2 minutes.

It’s easy for doctors because the ‘Skin-Scope’ is a handheld medical device and the pro for patients is that the whole diagnostic process is non-invasive.

So these were those amazing 10 Indian Startups that have selected by Google in there Launchpad Accelerator Program.

Launchpad Accelerator Program was started by Google globally three years ago in 2016.

The accelerator programme is designed to grow the AI and ML ecosystem in India by helping Indian startups build scalable solutions problems specific to the country and this batch is no different in regards to the larger goal of investing in the deep tech ecosystem in India.

The idea of the accelerator program is to help promising startups achieve rapid progress in a short time through focused 1:1 mentorship from Google and Industry Experts.

Areas include Product Strategy, UX/UI, Marketing and a special focus in Technology covering Android/Firebase, Web, Cloud.

More in AI :

Meet “Q”, The World’s First Genderless Voice Assistant

Google Expanding Duplex AI In 43 States For Restaurant Booking

Google’s DeepMind AI Helping To Predict Wind Energy Output

AI Integrated Toothbrush That Will Make You Brush Well