- Type
- AI search and agent startup
- Founder
- Eric Jing (ex-Googler)
- Founded
- 2023 (San Francisco / Singapore)
- Key funding
- US$100M Series A (March 2025)
- Key product
- AI search, AI Browser, Spark Agent
- Related
- Perplexity AI, Agentic AI
- Type
- AI search and agent startup
- Founder
- Eric Jing (ex-Googler)
- Founded
- 2023 (San Francisco / Singapore)
- Key funding
- US$100M Series A (March 2025)
- Key product
- AI search, AI Browser, Spark Agent
- Related
- Perplexity AI, Agentic AI
History
Genspark was founded in 2023 by Eric Jing, who previously led machine-learning teams at Google, and is headquartered in San Francisco with an early base in Singapore. In March 2025 the company announced a US$100 million Series A round alongside an iOS app positioning itself as a combined AI search, browser and agent "super app".[1]
The company's most significant shift came in 2025 when it moved focus from AI search to an autonomous agent product: reports noted its agent reached roughly US$10 million in annualised revenue within nine days of launch, and Genspark wound down its original search-focused workflow to concentrate on agentic tasks such as booking, shopping and research reports.[2][3]
Key Concepts and Technology
Genspark's defining idea is agentic search: instead of ranking pages, the system runs purpose-built agents (for travel, finance, shopping, general research) that actively browse, compare and compile. Answers arrive as structured artefacts — itineraries, comparison tables, cited reports — rather than a list of blue links.[1]
The related product line extends this to the browser layer: an AI browser that can watch what a user is doing and take actions on web pages, plus a general Spark agent that executes multi-step tasks end-to-end. This places Genspark at the intersection of two 2025–2026 trends — the decline of classic search result pages and the rise of task-completing agents that act rather than only answer.[2][3]
Applications and Impact
Typical uses include travel planning, product research, competitive analysis and gift or shopping tasks, where the agent handles browsing and comparison that would otherwise take a person an hour or more. Genspark's commercial traction was cited in 2025 as evidence that consumers would pay for agents that finish tasks — helping drive the broader shift of AI products from answer-machines toward do-machines.[2][3]
>See Also
🇲🇾 Relevance to Malaysia: Genspark's trajectory matters for Malaysian users and businesses in three practical ways. For consumers, agentic travel and shopping search is directly relevant to a market that plans travel heavily and shops across regional and global platforms. For marketers, Genspark-style engines that compile answers rather than rank links echo the same shift already seen with Google AI Overviews — meaning Malaysian businesses must increasingly ensure their content is usable by agents, not just SEO-ranked, a discipline sometimes called generative engine optimisation.[4]
For the local ecosystem, Genspark's Singapore-rooted founder story is a regional reference point for Southeast Asian AI founders, and its product category overlaps with Malaysia's own agentic-AI push under the National AI Office Malaysia. Malaysian firms evaluating such tools should also weigh PDPA obligations before feeding customer data into agent-driven research workflows.[5]
References
- ↑Genspark (2025). Announcing $100M Series A funding and the first-ever AI Search+Browser+Agents super app. https://www.genspark.ai/blog/genspark-series-a-funding-and-ios-app
- ↑SignalHub (2025). Genspark Agent hit $10M ARR in 9 days, after pivot from AI search to agents. https://signalhub.substack.com/p/genspark-agent-hit-10m-arr-in-9-days
- ↑The Information. Genspark co-founder on building AI agents for knowledge workers. https://www.theinformation.com/
- ↑AIWiki. Generative Engine Optimisation. https://aiwiki.com.my/wiki/generative-engine-optimisation
- ↑Malaysia Digital Economy Corporation. Official website. https://www.mdec.my/