Participated · Equity · May 2026

Investbanq is an AI-native WealthTech company building an AI Wealth Operating System to digitize processes for wealth and asset management. The company is based in Singapore, focuses on Southeast Asian markets, and counts large banking institutions in Asia among its clients. Founded in 2022, Investbanq positions itself as an AI-first player within wealth management and emphasizes deep digitalization rather than payments-focused FinTech. The founding team has prior exits and capital-markets experience, which the company cites as a competitive advantage in product and fundraising. Investbanq has closed two funding rounds of $3.0M each (Seed and Pre-Series A) and has used systematic outreach and offline founder meetings to secure institutional investors and anchor cases. The company highlights product traction with anchor clients and a growing pipeline in the region as it scales.

Led · Seed · Apr 2026

FORMAS.AI develops an AI-native design platform aimed at the architecture, engineering and construction (AEC) industry. The company positions itself to reimagine what a modern design platform looks like by embedding AI natively rather than adding it onto legacy tools. FORMAS.AI emphasizes design automation across the project lifecycle as a core focus. Leadership highlighted the sizable opportunity in AEC software, citing market projections of US$13B–US$15B by 2030. Financially, the startup recently completed an oversubscribed US$3.98M pre-seed round. The reported coverage did not disclose revenues, user metrics, or prior funding history.

Participated · Seed · Apr 2026

Plus1 is a social app that encourages users to post real plans and meet in person rather than swiping through profiles. Founder and CEO Jeff Wulkan presented the product and metrics at a private investor luncheon, highlighting traction after seven months: over 10,000 downloads, roughly 2,500 monthly active users, a 4.9-star App Store rating, and 47% retention. The company projects $1.5M in revenue in Year 1 and aims to reach $11.2M ARR by Year 3. Investor feedback at the luncheon focused on distribution, revenue, and geographic expansion beyond Miami. The team left the meeting with follow-up interest from several investors and intends to use insights from those conversations to inform go-to-market and growth plans. The article did not report current revenue or prior funding history.

Participated · Equity · Jul 2025

TASS Vision builds proprietary edge AI cameras and analytics software (Vitrac for customer journey tracking and Sitrac for shelf interaction analysis) that process images on-device to preserve customer privacy without sending data to the cloud. The platform is positioned as an offline equivalent of Google Analytics for brick-and-mortar retail, helping retailers optimise product placement, measure in-store marketing and run performance marketing on the shop floor. The company is active in more than 2,000 retail stores across ten countries and works with over a hundred brands in electronics, fashion, FMCG and pharmaceuticals. Over the past two years TASS Vision has grown 500% year‑over‑year and now employs 35 people, with teams in Uzbekistan, South Korea and China focused on R&D in AI models, image processing and edge hardware. Management says clients have increased revenue and reduced operational costs using the system. The company plans to use new funding to complete development of a next-generation camera that it expects to be up to 20× faster, more energy-efficient, easier to install and better suited for global deployment. TASS Vision, founded in 2019, builds AI-driven video analytics focused on retail. Its offerings include Visitor Analytics (gender and age analysis), Face HR (employee arrival time recording) and CJM. Processing is performed inside the camera on VPU chips, and the company plans cloud-updated programs that can be automatically installed on cameras without additional devices. TASS Vision employs over 20 people and works with remote programmers in South Korea and China while developing new product functions. The startup's mission is to transform traditional retail into a high-tech, efficient sector and it is currently focused on expanding its video-analytics capabilities. The funds raised will be used to develop the product, improve service quality, and scale the product to foreign markets.

Participated · Series A · May 2025

CrediLinq offers an API‑centric, AI-driven Credit-as-a-Service stack that embeds lending into B2B platforms and uses real‑time alternative platform data, unstructured data and bureau information for credit decisioning. Its technology includes agentic workflows and AI algorithms designed to reduce non‑performing loans and improve collections. The platform integrates with marketplaces and platforms such as Amazon, Lazada and TikTok Shop to deliver financing at the point of need. CrediLinq holds a Capital Markets Services License from the Monetary Authority of Singapore, is ISO 27001 certified, and is a member of the Singapore Fintech Association. The company plans to use new capital to expand into the United States, the United Kingdom and Australia, strengthen its Singapore presence, pursue strategic acquisitions and partnerships, hire senior commercial, product and tech talent, and further enhance its technology stack. Founded in 2020 and based in Singapore, CrediLinq.Ai provides API-driven credit-as-a-service and payments infrastructure for B2B marketplaces and platforms. Its core product includes advanced API solutions, alternative credit-scoring models, and underwriting approaches that enable ecosystem partners, digital banks, and funding partners to underwrite and deliver financing to SMEs. The company supports use cases such as B2B BNPL and GMV financing and powers lending across e-commerce, payments, and procurement platforms in Singapore, Hong Kong, Malaysia, Australia, and Indonesia. It recently signed two major stock exchange-listed customers and serves several smaller platforms across the region. In February 2023 CrediLinq.Ai raised an undisclosed seed extension from MS&AD Ventures and Big Sky Capital, with participation from existing investor 1982 Ventures and unnamed angels. The startup plans to use the funds to scale operations, upgrade infrastructure, pursue strategic acquisitions in key markets including Indonesia and Singapore, and expand its global embedded finance customer base. CrediLinq.Ai is a Singapore-headquartered fintech firm building an AI- and machine-learning-powered lending platform to transform credit underwriting for SMEs. Its core product integrates advanced algorithms and leverages traditional and alternative data points to improve credit assessment and transparency for investors. The company was established last year by Deep Singh, an experienced banker and entrepreneur in corporate and commercial finance. CrediLinq.Ai says it will use the funding to expand its professional team, update its technology and products, and finance its first set of loans. After launching services in Singapore, the firm plans regional expansion into Hong Kong, Australia, and New Zealand. Management positions the platform as a way to lower entry barriers for underserved small businesses and to streamline underwriting for banks and credit asset managers.