Participated · Series A · Jun 2022

AMILI is a Singapore precision gut microbiome company founded in 2019 that builds a multi-ethnic repository of microbiome data and samples, including the only existing microbiome bank in Southeast Asia. Its core products include diagnostics, predictive algorithms and microbiome-modifying interventions powered by its proprietary analytics engine, AMILI Prime. The company licenses its database to academic institutions, biotech firms and food manufacturers to identify biomarkers and inform product formulation. AMILI also provides faecal microbiota transplants and has launched a consumer health brand, BIO & ME, offering probiotics and diagnostic tests based on its database, with planned rollouts in Southeast Asia and Hong Kong later this year. It focuses clinical research on health and wellness, oncology, and response to microbiome-based therapeutics, having conducted over 20 research studies valued at over $40 million. The company intends to use new funding to expand in Southeast Asia and the rest of Asia, pursue additional research partnerships, and further develop AMILI Prime.

Participated · Series B · Mar 2022

6Estates is a Singapore-based AI FinTech founded in 2014 that develops multilingual natural language processing (NLP) and machine reading comprehension (MRC) technologies. Its core product is a template-free Intelligent Document Processing (IDP) platform that automates processing of unstructured documents and performs semantic correlation analysis beyond traditional OCR. The company has deployed Document AI solutions with regional financial institutions for trade finance and credit assessment. 6Estates targets multiple industry sectors including banking and finance, trade, shipping, logistics, and insurance. It also collaborates with conglomerates in Southeast Asia to re-activate customers within existing ecosystems and provide group big data platforms, risk scoring, fraud detection, customer analytics, and cross-selling capabilities. The company intends to use recent funding to advance and expand its IDP platform across those sectors.

Participated · Series A · Sep 2021

Ackcio is a Singapore-based deep-tech company (founded in 2016) that builds long-range, mesh-based wireless monitoring and data-capture technologies for industries such as construction, infrastructure, rail, and mining. Its solution enables remote, real-time oversight of geotechnical projects to boost operational efficiency, reduce costs, improve worker safety, and support regulatory compliance. The company says the COVID-19 pandemic accelerated demand for remote operations and that its client base expanded to 22 areas on six continents over the past year, driving a considerable increase in revenue. Ackcio plans to use new funding to accelerate regional expansion, enhance R&D, and enter new industry verticals. The company will hire sales, engineering, and operations staff across Asia, the Americas, and Europe and expand its client and partner network in the Middle East, Africa, and Oceania. Management has identified additional target sectors including oil & gas, energy, and power infrastructure where data-driven risk management is critical.

Participated · Series A · Mar 2019

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.

Led · Series A · Oct 2017

Wootag is a visual marketing SaaS that enables brands and agencies to place customizable, actionable tags on videos and static displays to drive viewer interaction. The company offers analytics and insights to marketers and says it has helped clients across more than 13 countries and 11 verticals. Wootag reports revenues quadrupled over the past three years while remaining profitable and driving 350%+ increases in customer engagement for users. Recent product work includes the launch of Creative Automation to showcase product collections inside videos. The company plans to use new funding to scale across Asia Pacific and to enhance AI capabilities for in‑video interactivity and audience engagement. Its core product focus remains on supercharging visual content for high-growth marketers and large multinational brands and agencies. Wootag operates an interactive video marketing and analytics platform that enables marketers to create and measure interactive video campaigns. The company is based in Singapore. In a recent financing, Wootag raised $2.7 million in a pre-Series A funding round. The round was led by Euco Investment, Wavemaker Partners and SPRING Singapore. The financing included additional undisclosed investors. The report did not disclose further financial details, founding year, or operating metrics.