ClearTrust, a cutting-edge ad tracking and fraud detection platform, has successfully raised $1.9 million in its pre-Series A funding round, signalling investors’ decisive vote of confidence. The round was led by Ideaspring Capital, with participation from Piper Serica Angel Fund, and saw continued support from existing backer Alacrity India.
This comes on the heels of ClearTrust’s earlier success in securing $200,000 during its seed round in 2021, which featured contributions from Alacrity India, Limelight UK, and ThinkNext LLC.
The newly acquired funds are earmarked to expand ClearTrust’s footprint into North America and fuel research and development initiatives in artificial intelligence (AI), cybersecurity, and deep tech. The primary focus is enhancing the platform’s capabilities with critical filters to pinpoint and eliminate advertising fraud.
Established in 2020 by Deepankar Biswas and Raja TN, ClearTrust has rapidly emerged as a global go-to solution for advertising operations, media buying companies, and global teams. The platform’s state-of-the-art tracking and fraud detection capabilities assist advertisers, agencies, and networks achieve higher returns on investment (ROI) by eradicating fraudulent and fake activities from their digital campaigns.
ClearTrust is equally dedicated to aiding digital publishers in safeguarding their ad revenues by swiftly identifying and mitigating fake and invalid traffic in real-time. The platform’s security solutions include traffic scanning, precise tracking, and a real-time dashboard featuring over 140 traffic scoring filters, system alerts, and customer-centric features.
The startup proudly reports a remarkable three-fold annual growth over the last two years. It sets an ambitious target of reaching a yearly revenue milestone of $10 million (approximately Rs 83 crore) by 2027. The successful pre-Series A funding round positions ClearTrust as a formidable player in the ad tech industry, poised for global expansion and continued innovation in the fight against advertising fraud.
