Genspark

Genspark is an AI "super agent" workspace, built by MainFunc, Inc., that goes beyond a chatbot to actually finish knowledge work: it can research a topic, produce slide decks, spreadsheets, documents, images, and videos, and even place real phone calls to complete a task, all from a single prompt with no coding required.

Rather than routing every request through one model, Genspark uses what it calls a Mixture-of-Agents architecture — an orchestration layer that breaks a task into pieces and routes each piece to whichever of 30+ underlying AI models and tools fits best, then assembles the pieces into a finished, editable deliverable.

Genspark was founded in 2023 by Eric Jing (CEO), Kay Zhu (CTO), and Wen Sang (COO) — engineering veterans from Microsoft Bing, Google Search, and Y Combinator-backed Smarking — and is headquartered in Palo Alto, California, with additional offices in Singapore and Japan. Since its Super Agent launched in April 2025, the company has raised several funding rounds reported in the hundreds of millions of dollars and, per its own and third-party reporting, crossed $250M in annualized revenue within about a year — one of the fastest revenue ramps reported in the AI agent space. Reported total funding and valuation figures vary across sources, so exact numbers should be treated as approximate.

1. Sign up at genspark.ai — the Free plan requires no credit card — and open the AI Chat / Super Agent interface.
2. Describe the outcome you want in plain language, for example "review market trends and build a board-ready deck" or "find 20 sales leads in the fintech industry and add them to a sheet."
3. Super Agent plans the task, researches the web, and routes each sub-task to the best-fit underlying model or tool through its Mixture-of-Agents system, rather than relying on a single model for everything.
4. Review and refine the output directly in its native editor — AI Slides, AI Sheets, or AI Docs — with follow-up prompts instead of starting over or exporting to another tool.
5. For tasks that need a real-world action, use Call For Me to have the agent place an actual phone call (for example a restaurant booking or appointment) and return a recording and summary, or use Autopilot to let an agent operate its own cloud computer for browser-based tasks that go beyond what API integrations can reach.
6. Store and manage generated files in AI Drive, and track credit usage against your plan's monthly allowance from the account dashboard.

• Turning a request like "review market trends and build a board-ready deck" into a finished, editable slide presentation with researched data and generated visuals.
• Building and populating a spreadsheet automatically — finding leads, filling in data, writing formulas, or constructing templates — instead of assembling it by hand.
• Having an agent place a real phone call on your behalf, such as booking a restaurant table, following up with a vendor, or confirming an appointment, and returning a call recording and summary.
• Researching a topic in AI Chat, cross-checking sources, then converting the findings directly into a slide deck, doc, or sheet without switching tools.
• Running longer, browser-based tasks such as multi-step form-filling or web navigation via Autopilot, which gives an agent its own cloud computer rather than relying only on API integrations.
• Consolidating research, communication, and content creation (docs, slides, sheets, images) into one workspace for teams that would otherwise juggle several separate AI tools.