Participated · Seed · Feb 2018

Agricxlab is an agri-tech startup whose mobile application uses computer vision and artificial intelligence on smartphone images to deliver quality assessments of agricultural produce. The Thane-based company offers solutions targeted at warehouses and enterprise clients across the food supply chain. Agricxlab plans to expand its quality parameters to cover a broader range of crops and to enhance its product development. The startup said it will use the new funding to support product development and geographic or market expansion. Founded in 2016 by Saurabh Kumar and Ritesh Dhoot, the company aims to provide objective, deployable quality transparency at multiple points in the value chain. Its core product addresses quality assessment gaps in regions with fragmented farming practices and low penetration of organised players.

Participated · Equity · Aug 2013

Tookitaki builds AI-driven solutions for real-time fraud detection and AML compliance, including its FinCense product and the AFC Ecosystem collaborative platform. The company focuses on enhancing crime-detection models through collective intelligence among industry participants. It has a presence across the Asia-Pacific region and has monitored over 10 billion transactions for roughly 100 million consumers among its clients. Tookitaki plans to use fresh capital to enhance its AI-driven AML and fraud prevention platforms and to expand its presence in key Asian markets. The company positions itself at the intersection of regulatory technology and machine learning to address financial crime and compliance workflows. Tookitaki is headquartered in Singapore. TookiTaki builds machine-learning financial compliance software focused on anti-money-laundering (AML) and reconciliation. Its platform uses explainable machine-learning models and a distributed computing framework that can run in the cloud or on-premise. The product has two main modules: cross-system suspicious-transaction monitoring and names screening for high-risk customers. TookiTaki says it reduces false positives in transaction monitoring by 50%, a result validated by Deloitte. The company plans to use its recent funding to enhance its AML and reconciliation software and to hire for its offices in the United States, Singapore and India. The startup was co-founded in 2014 by Abhishek Chatterjee and Jeeta Bandopadhyay and pivoted to regulatory-compliance AI in late 2016. Tookitaki provides enterprise software solutions for anti-money laundering (AML) and reconciliation for financial institutions. Its Anti-Money Laundering Suite (AMLS) uses AI, machine learning, distributed systems and deep business expertise to support compliance management. The company is accredited by the Infocomm Media Development Authority’s Accreditation@SG Digital programme. Tookitaki has deployed its AMLS with United Overseas Bank and global banks such as Societe Generale. Led by founder and CEO Abhishek Chatterjee, the company has offices in Singapore, India and the US. Following a US$7.5m Series A, it plans to use the funds to strengthen R&D capabilities. TookiTaki offers a software platform that analyzes multiple datasets to produce predictions about customer behavior, marketing outcomes, and product sales. The company began as an ad tech service for ad placement and has since expanded into broader data analysis and prediction services. TookiTaki differentiates by aggregating multiple data sources, including publicly available and offline data, to generate actionable forecasts. The startup is developing a platform to predict how consumers discover specific brands and products. TookiTaki plans to use new capital to expand its platform into Southeast Asia, Japan, Australia, and New Zealand. CEO Abhishek Chatterjee leads the company from Singapore. Tookitaki is a Kolkata-based startup founded in 2010 by Abhishek Chatterjee and Jeeta Bandhopadhyay. Its platform queries millions of data points from social networks like Facebook, Twitter and YouTube to identify purchasing patterns. Using machine learning it maps behavioral patterns in real time so clients can target those groups with ads across online platforms. Clients listed on its website include CouponRani, Done By None and Craftvilla.com. The company raised $200,000 from a group of investors including Blume Ventures, India Internet Group, Harvard Angels and CIIE Ahmedabad. Pricing for its services is not disclosed in the reporting. The article notes the technology could help consumer brands gain clearer insight into online behavior and optimize ad budgets.