Dragon Fund
10 MARINA BOULEVARD #14-02, Singapore, 018983
Overview
Dragon Fund is a growth equity fund focused on investing in technology and technology-enabled companies, globally.
- Total investments
- 4
- Lead investments
- 3
- Investments · 12mo
- 2
- Active investors
- 3
Investment portfolio
- KreditBee
Led · Series E · Apr 2026
KreditBee was reported by Moneycontrol to have raised $280 million in a funding round that propelled it into unicorn status. The article identifies the company as a fintech but does not provide additional operational or product details. No revenue, user metrics, or other performance data were mentioned in the coverage. The report did not include the company's founding year or headquarters location. Future plans or stated use of the new capital were not detailed in the article.
- MoEngage
Led · Series F · Dec 2025
MoEngage offers a unified engagement suite that lets marketing and product teams analyze customer behavior and trigger personalized outreach across web, mobile, email, social, and messaging channels. Its Merlin AI agents accelerate campaign design and optimize conversions, while new modules such as MoEngage Analytics and MoEngage Inform extend capabilities to product analytics and high-reliability transactional messaging. The platform is trusted by more than 1,350 global brands—including 7-Eleven, Starbucks, Samsung, and Domino’s—and touches over 2 billion consumers each month in 75 countries. Headquartered in Bengaluru and San Francisco, the company has seen strong traction in North America, EMEA, Southeast Asia, and ANZ. Future plans include deeper AI innovation, expanded go-to-market teams in core geographies, and strategic acquisitions to enhance the product stack. Revenue figures were not disclosed, but the firm’s disciplined operating model and rapid U.S. execution were highlighted by new investors. To recognize contributors, MoEngage has conducted two employee liquidity programs, the latest totaling $15 million for 259 current and former staff.
- Oto
Led · Equity · Dec 2024
CarDekho SEA is a Singapore-based, technology-driven aggregator for used-car and bike financing across Southeast Asia. The platform operates an asset-light marketplace that connects small-scale used-vehicle dealers to more than 50 financiers and about 20,000 dealers and retail agents. It uses AI and machine-learning to reduce fraud and credit risk, and provides data to financing partners while taking no credit risk itself. Since launch the company has completed over 200,000 disbursements and facilitated more than $1 billion in loans, representing a 50x increase in gross merchandise value over three years. CarDekho SEA was founded in 2020, has operations in Indonesia (including OTO Indonesia) and the Philippines (Carmudi Philippines, Zigwheels Philippines), and is also present in Thailand, Singapore, Malaysia, and Vietnam. The company generates upwards of $50 million in annual revenue through per-loan commissions and plans further regional expansion into new markets in 2026. Management is pursuing inorganic growth as well as organic, citing interest in acquiring used-car financing platforms or insurance-brokerage platforms in Indonesia and the Philippines. Oto commercializes an "acoustic language processing" platform that models tone alongside words to decode emotion and engagement in spoken conversations. The company built the Oto Emotion Dataset (over 10,000 utterances from 3,000 speakers) and has extracted more than 3 billion intonation measurements to train acoustically aware embeddings. Its web-hosted, language-agnostic toolset offers in-call coaching, live dashboards, targeted call sampling, and automation for quality assurance, leveraging SRI’s SenSay Analytics for real-time speaker-state classification. In evaluations Oto reports up to 40% better arousal modeling versus text-only models, 60% better distinction between angry and sad samples, 90%+ accuracy on intonation behavior models, and a 94% accuracy in predicting call outcomes from acoustics in a 4,000-hour test set. Pilot deployments showed a 19% increase in conversation engagement and a 5% lift in sales conversion on “tens of thousands” of inbound calls, with some customers (ACD Direct) reporting up to an 18% conversion increase. The company was spun out of SRI International by Teo Borschberg and Nicolas Perony and is deploying its technology in the U.S. and EU. Oto aims to scale its dataset (goal of 1 million hours by 2020) and continue improving models via supervised and unsupervised learning on enterprise emotion data.
- Otter
Participated · Equity · Jan 2020
Otter (formerly AISense) provides AI-powered speech-to-text transcription that turns conversations and meetings into searchable text and identifies who is speaking. The platform supports both consumer and enterprise customers and integrates with partners such as Dropbox and Zoom in the U.S. Otter began operating in 2018 and has been piloting use cases in Japan, including Berlitz's online English classes where students can search lesson recordings. The company’s Otter Voice Meeting Notes app helps users find portions of recordings without manual review. Otter is expanding into Japan through a partnership with NTT DOCOMO to integrate its transcription tech into DOCOMO’s Mirai Translation service. Financially, Otter closed a $10 million funding round and, according to the article, has raised $23 million since it was founded. Otter is a voice-transcription product built by AISense that records conversations on iOS, Android and web, automatically transcribes them, and syncs audio with searchable text. The company built its entire speech-recognition stack in-house and uses diarization and voice prints to separate and identify multiple speakers. Transcripts are stored encrypted in the cloud and the app supports file uploads, sharing, and a tag-cloud UI to jump to frequently used words. AISense has licensed its transcription technology to Zoom but says its immediate monetization focus is not licensing; it plans an enterprise version with more controls and a premium tier for consumers. A future release is intended to support recording phone calls. The team is led by Sam Liang and includes engineers from Google, Facebook, Nuance, Yahoo and researchers from Stanford, Duke, MIT and Cambridge.