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 a 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.

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.

“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.

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.