For business operators, Genspark is an AI workspace that routes multi-step work across specialized agents to research, make calls, produce slides and code, and build custom databases, dashboards, and internal tools from company data.
Presence & Market Position
#14 of 26
Coding Agents & Harnesses for GTM
▲ 114 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Genspark is building toward being an AI employee that works inside a company's existing systems: an orchestration layer across outside models from OpenAI, Anthropic, and Google that executes multi-step work, phone calls, slides, code, research, rather than a single-purpose tool, extended this year into agents that assemble internal databases and dashboards from a company's own data. Conversation around the brand runs rising and broad: launch coverage for new models and coding-agent products, executive appearances on industry and finance conference panels, roundup mentions that group it with the current top tier of AI-native startups, and practitioner walkthroughs of how its agents move from supervised to autonomous task execution. Consumer hardware and memory-layer releases get covered alongside the enterprise story.
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Business Profile
Genspark was founded in 2020, launched as an AI search product in 2024, and pivoted into the Super Agent execution platform in 2025. It has raised $645M in total, including a $100M extension in June 2026 that brought its Series B to a $2.6B valuation, led by new investor Sozo Ventures alongside Mirae Asset and UpHonest Capital. The company reports ARR crossing $200M in 2026, run by a team of 59 people, and emphasizes orchestrating outside frontier models from OpenAI, Anthropic, and Google over training its own. It hired its first Chief Revenue Officer alongside the round to build out enterprise sales.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Genspark has built its agent stack by orchestrating outside frontier models rather than training its own, extending the original Super Agent into Skills, reusable tools for repeated tasks, AgentBase, agents that assemble internal databases and dashboards from a company's own data, and GenCode, a dedicated coding agent. It is listed as a partner-built agent in the Google Gemini Enterprise Agent Marketplace and among Microsoft's Agent 365 launch partners, with an API and CLI published for developers.
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