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MUMBAI, FEBRUARY 10:
In the movie Minority Report, technology
enables cops in the future to arrest criminals even
before the crime is committed.
Innefu Labs is
aiming to reach there, but for now the New Delhi-based developer of cyber
security solutions is developing a product to predict
man-made calamities and help security forces avert these disasters.
The Artificial Intelligence- (AI) based predictive tool forecasts
the nature of the crimes that could be committed at a particular place
and advises on measures to prevent this.
Commercial
launch soon
The products, being developed for law enforcement
agencies, would be ready for commercial launch in a month.
“The platform uses mathematical
models to predict crime, infiltration, terrorist attacks and other
man-made calamities.
It can identify what
kind of crimes could take place, areas where
these crimes are likely to occur, the time
frame and what can be done to
reduce the number of crimes,” Tarun Wig, co-founder at Innefu Labs, told BusinessLine.
The suite, which is being developed as an arm of its
existing product Prophecy, collates data
and provides predictive intelligence on
areas where infiltration could take place and analyses political and economic
factors that could influence issues such as ceasefire between India and
Pakistan.
Among others, it can also predict where the police force should be deployed to contain a riot, clusters where crimes take place the most, shortest time of action required in case of a
terrorist attack among others.
The product will use
historical data – of about 120 TB the company has collated so far – and
tune the algorithm to predict what can happen
in the future.
Innefu Labs, founded by technopreneurs Tarun Wig and Abhishek
Sharma in 2010, counts Border Security Force, Punjab Police, Andhra
Pradesh Police, J&K Police and Karnataka Police as customers, and intends
to offer the solution to them too.
How
accurate?
“The accuracy of any predictive
intelligence model depends on the model being used and the training imparted to the system.
With Prophecy, in certain scenarios, we got very
strong accuracy levels of about 72-75 per cent, while in certain other areas it is low at 45-50 per
cent,” he said.
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Wig, however, declined to comment on the scenarios, but added the
company is working on the low accuracy areas.
Now valued at about ₹50 crore, Innefu Labs is also in the process of raising about ₹10 crore in Series A funding, which will be used to further develop Prophecy and
expand the company’s sales and marketing team.
“We are in talks with various private equity companies, Wig said,
without disclosing further details.
(This article was published on February 10, 2017)
With Regards,
hemen
parekh
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