This startup’s area of operations is unique in the sense that the efficacy of its products have a deep impact on the way our law enforcement agencies function.
Its artificial intelligence-based product using facial recognition in real time has been of immense help to police in their efforts to nab culprits.
“For the pat one-and-a-half-years years, we have been working on the vision part of our product. Delhi Police is using our systems and have used it for the security of all their major events. Our system was connected to all the CCTV cameras in major areas during last year’s Independence Day celebrations. We were continuously monitoring all the faces that were passing through against known set of militants. Last couple of years we are heavily working on the vision part of it,” said Abhishek Sharma, co-founder of Innefu.
The startup’s product – Prophecy Vision – was also used by Delhi Police to identify 3000 missing children.
Innefu, founded in 2010 by by two IT engineers Tarun Wig and Abhishek Sharma, is a startup which develops cybersecurity solutions using artificial intelligence.
“We always wanted to work on a product. Two things really excited us – one was cybersecurity and other was AI. Neither of us had any exposure to that,” said Sharma.
Innefu has two products — AuthShield, which is a cybersecurity product which prevents hacking attacks on emails, ERPs, SAP and others and Prophecy — which is Big Data Analysis framework which is currently being used in multiple intelligence organisations in the country.
With Prophecy, the startup claims to solve the bomb blast case which took 45 days for the agency to solve it while the AI-based product just took 8 minutes to solve it.
“There was a very interesting PUC where there was a case for bomb blast. It took the agency 45 days to solve it. They said to us that we will give you all the data and let us see how long you take to solve it. We were able to solve it in 8 minutes,” said Abhishek.
The startup started dealing with the law enforcement department sector and the founders understood that the biggest problem that they have and the biggest asset at the same time that they have is data, according to Sharma.
“The big problem is most of the data is unstructured. So you have got documents, interrogation quotes, FIRs, media reports, spreadsheets, docs, pdfs, ppts, etc. Then you have videos, audios, images and this runs into terabytes and terabytes of data. So, it is a difficult process,” he said.
Sharma said that Prophecy is amalgamation of multiple things where it is using the art of Machine learning models for text analytics, image analytics and predictive intelligence specifically trained for Law Enforcement Agencies and Financial Fraud Analytics.
The framework has been successfully used in multiple Law Enforcement Agencies in South East Asia and augments the internal data of the client with sources including news feeds, open source databases, journals, magazines, social media and others, according to Sharma.
The startup have clients such as Defense research establishments, state police departments, intelligence agencies, banks and paramilitary organizations including Border Security Force (BSF), and Indian army.
Innefu had raised $2 million in its series A round of funding from IndiaNivesh in 2017.
According to the report of Task Force on Artificial Intelligence constituted by the Ministry of Commerce and Industry of India, there are 10 specific domains such as Manufacturing, Fintech, National Security, Health, Agriculture and others that can use AI.
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