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GoVeda Raises Seed Funding for AI-Native IP Platform in Singapore

Source: PR Newswire

Singapore-based GoVeda has secured seed funding to accelerate development of its AI-native intellectual property platform, designed to transform how businesses manage, file, and monetise their patents using artificial intelligence.

GoVeda Raises Seed Funding for AI-Native IP Platform in Singapore
SGAI Daily

Singapore-based GoVeda has secured seed funding to accelerate development of its AI-native intellectual property platform, designed to transform how businesses manage, file, and monetise their patents using artificial intelligence.

The platform brings AI to every stage of the IP lifecycle — from patent discovery and strategic filing analysis to portfolio intelligence and monetisation. By connecting patent offices, enterprises, and innovators in a unified system, GoVeda aims to make intellectual property accessible to departments beyond legal, including R&D, product, sales, and finance teams.

Founded in 2026 and led by CEO Dr Tai Cheng, GoVeda serves a growing market of companies looking to extract more value from their patent portfolios. The seed funding will support continued development of advanced AI capabilities for patent search, competitive landscaping, and automated filing recommendations. The round's investors were not disclosed.

Singapore has been positioning itself as a regional IP hub, with the Intellectual Property Office of Singapore (IPOS) rolling out streamlined patent filing processes and AI-powered search tools for examiners. GoVeda's platform taps into this ecosystem by offering AI-native tools that help companies — from startups to multinationals — navigate the increasingly complex IP landscape more efficiently.

Why it matters for Singapore: As the city-state deepens its bet on innovation-driven growth, tools that accelerate patent discovery and portfolio management become critical infrastructure for its R&D economy. GoVeda represents a new wave of Singapore-founded AI startups targeting B2B enterprise workflows that were traditionally served by slow, manual processes — a segment with significant room for AI-driven efficiency gains.

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