Genspark AI is an all-in-one AI workspace built around a “Super Agent,” an autonomous assistant that plans and finishes multi-step tasks for you instead of just answering questions. It can research a topic, build a slide deck, generate images and video, take meeting notes, and even pick up the phone and make real calls on your behalf. The company behind it, US startup MainFunc, has raised $545 million in funding and, by multiple reports, crossed $250M in annual recurring revenue within roughly 12 months of launch, one of the fastest climbs the AI agent space has seen.
If you searched for Genspark expecting a search engine, that reputation is now out of date. Genspark started as an AI search product in 2024, then pivoted hard in April 2025 toward agents, and in April 2026 it signed a global partnership with Microsoft to embed its agents inside Word, Excel, PowerPoint, and Microsoft 365. This guide explains what Genspark actually is in 2026, what the Super Agent can do, who owns it, and what it costs, so you can decide whether it belongs in your stack.
The Key Takeaways
- Genspark is an agentic AI workspace, not a chatbot or a search engine; its Super Agent completes whole tasks autonomously.
- It orchestrates multiple frontier AI models and 80+ integrated tools, picking the right one for each step rather than relying on a single model.
- Standout capabilities include AI Slides, video and image generation, meeting notes, an AI Developer, and real AI phone calls.
- Genspark is built by MainFunc Inc., a US company led by ex-Microsoft and ex-Google founders that has raised $545M and reportedly hit $250M ARR within about 12 months.
- There’s a real free plan (100 credits per day); paid Plus and Pro tiers add far more credits and premium model access.
What Is Genspark AI, Exactly?
Genspark is an all-in-one AI workspace that spans research, document drafting, slide creation, data analysis, meeting notes, image generation, and more, all from one platform. The thing that makes it different is its agentic design. Instead of you prompting a single model back and forth, you give Genspark a goal and its Super Agent breaks it into steps, picks the right tools, runs them, and hands back a finished result.
That result might be a polished presentation, a spreadsheet analysis, a short video, or a booked dinner reservation. Genspark calls this a “Super Agent” because it coordinates many specialized components rather than acting as one narrow assistant. In practice it sits somewhere between a chatbot like ChatGPT and a hands-off automation tool, doing the multi-step work that normally eats your afternoon.
It helps to be clear about what Genspark is not. It’s not a local app running AI on your machine, it’s not a single large language model, and as of 2025 it’s no longer primarily a search engine. The search roots still show up in how thoroughly it gathers information, but the product you sign up for today is an agent platform.
How the Genspark Super Agent Works
The Super Agent runs on a multi-agent architecture. Rather than leaning on one model, Genspark orchestrates multiple frontier AI models and more than 80 integrated tools, dynamically assigning each task to whichever component fits best. Reasoning models handle planning, while specialized tools handle slides, code, voice calls, or image generation.
This is the core reason Genspark can produce finished deliverables instead of just text. When you ask for a market overview with charts, one part of the system researches, another drafts, and another builds the visuals. Genspark taps top models like GPT-5, Claude, and Gemini under the hood, the same names we rank in our guide to the best AI models. You see a single answer, but several models and tools did the work behind it.
The trade-off is a credit system. Heavier tasks like video generation or long agent runs consume more credits than a simple question, which is why the plan you choose matters once you start using it daily. We break the credit math down fully in our companion Genspark pricing guide.
What Can Genspark AI Do? Key Features
Genspark bundles a lot of separate tools under one roof, and the lineup is what most people mean when they ask what Genspark AI does.
AI Slides turns a prompt or a rough outline into a finished presentation, complete with layouts and visuals, and it can draw on existing decks for templates. AI Developer builds websites and small apps and connects to GitHub, so non-coders can ship a working page from a description. And finally AI Meeting Notes transcribes conversations and produces clean summaries and action items.
On the creative side, Genspark generates images with models such as FLUX and Gemini Imagen, and it produces video using leading generators including Sora, Kling, and Veo. That puts text, images, and short video creation in the same workspace, which is rare. If you already compare dedicated tools, our roundup of the best AI video generators gives useful context for how Genspark’s output stacks up.
The feature that grabs the most attention is AI phone calls. Genspark can place real phone calls using natural-sounding AI voices to handle restaurant reservations, business inquiries, and similar errands, holding a back-and-forth conversation rather than reading a script. It’s the clearest example of an agent doing something in the real world instead of on your screen.
Who Owns Genspark AI?
Genspark is owned by MainFunc Inc., a private US company, and operated through its subsidiary Genspark Inc. The founding team comes straight from the search and AI heavyweights. Eric Jing is CEO, previously a Vice President at Baidu, CEO of Xiaodu, and earlier a research director on Microsoft Bing in Asia. Kay Zhu (Zhu Kaihua) is CTO, formerly a principal architect at Google and chief architect at Baidu. Wen Sang is COO, an MIT PhD who earlier founded and sold the SaaS company Smarking.
That pedigree matters because building a reliable multi-agent system is hard infrastructure work, and this team has shipped large-scale search and assistant products before. MainFunc reached unicorn status (a valuation above $1 billion) within roughly 18 months of founding, and has raised $545 million from investors including LG, SBI, and Temasek’s Pavilion Capital. The speed of that climb, paired with its reported $250M ARR milestone, is why Genspark keeps showing up in AI headlines.
The Microsoft Partnership and Why It Matters
In April 2026, Genspark announced a global strategic partnership with Microsoft to embed its AI agents directly into Word, Excel, PowerPoint, Microsoft 365, and Microsoft’s Agent 365 platform. In plain terms, Genspark’s slide-building, data-analysis, and drafting agents are being wired into the apps where most office work already happens.
This is a big credibility signal for a company barely a year into its agent product. It also pushes Genspark into more direct competition with Microsoft’s own Copilot and with Google, while putting its agents in front of enterprise users without asking them to learn a new tool. For a fuller picture of where Microsoft’s first-party AI sits, see our breakdown of Microsoft’s MAI models.
How Much Does Genspark AI Cost?
Genspark has a genuine free plan, which is more generous than many rivals. The free tier gives you 100 credits per day, about 1GB of AI Drive storage, and basic access to the Super Agent, enough to test the platform properly before paying. Paid plans raise the credit ceiling sharply and add priority access to premium models.
| Plan | Price (monthly) | Price (annual) | Credits | Best for |
|---|---|---|---|---|
| Free | $0 | $0 | 100 / day | Testing the Super Agent |
| Plus | $24.99 | $19.99 / mo | 10,000 / mo | Freelancers, creators, daily users |
| Pro | $249.99 | $199.99 / mo | 125,000 / mo | Agencies, teams, power users |
Annual billing knocks roughly 20% off both paid tiers, and AI chat and image generation cost zero credits on paid plans through December 2026. Genspark also offers Team and Enterprise options for organizations, with per-seat pricing listed on its site. Pricing as of June 2026 and subject to change; check the official Genspark site for the latest. For a full breakdown of credits, what eats them fastest, and how to cancel, read our dedicated Genspark AI pricing guide (linked once it’s live).
Genspark vs ChatGPT, Perplexity, and Manus
Genspark sits in a crowded field, and the right comparison depends on what you want. Against ChatGPT, the difference is autonomy. ChatGPT is a brilliant conversational model you steer step by step, while Genspark aims to take a goal and return a finished deliverable. If you mostly want to chat, draft, and brainstorm, a tool like ChatGPT is simpler; our Grok vs ChatGPT comparison covers that conversational lane.
Against Perplexity, the contrast is search versus action. Perplexity is a focused AI answer engine, whereas Genspark uses its search roots as a foundation for doing work. The closest true rival is Manus, another autonomous agent platform; both promise to complete tasks end to end, and both are still proving reliability at scale. Genspark’s edge is breadth of built-in tools and the Microsoft tie-up, while it competes on price and dependability.
Fello AI: Every Top Model at One Flat Price
Genspark’s power comes wrapped in credit math, and not everyone wants to track consumption task by task. If you mostly want the strongest AI models on tap without metering, a flat-rate app like Fello AI takes the opposite approach. One subscription puts Claude, ChatGPT, Gemini, Grok, and DeepSeek in a single place, so you switch to whichever model fits the job instead of paying per credit or juggling five separate logins.
The idea is one price, many models. Fello AI runs $9.99 per month for access to those top engines, with no credit ceilings to watch and no per-task billing to plan around. It won’t dispatch an autonomous agent to build a deck or place a phone call the way Genspark does, so the two tools solve different problems. If your goal is flexible model choice at a predictable cost, you can get started with Fello AI or download it from the App Store.
Is Genspark AI Worth Trying?
If your work involves repetitive, multi-step tasks like building decks, researching and summarizing, or producing first-draft media, Genspark is one of the strongest agent platforms available in 2026, and the free 100 credits a day make it easy to test risk-free. The Microsoft partnership and rapid revenue growth suggest it’s not a flash in the pan.
If you mainly want a conversational assistant for writing and quick answers, a standard chatbot will be cheaper and less complex. Start on the free plan, push it on a real task like a presentation or a phone reservation, and let the result tell you whether the credits are worth it. When you’re ready to weigh the tiers, our pricing guide does the math.
FAQ
What is Genspark AI used for?
Genspark is used to complete multi-step tasks automatically, such as building presentations, generating images and video, analyzing data, taking meeting notes, building simple websites, and making real phone calls. It’s an AI workspace aimed at finishing work, not just chatting.
Is Genspark AI free?
Yes. Genspark offers a free plan with 100 credits per day, about 1GB of storage, and basic Super Agent access. Paid Plus and Pro plans add far more monthly credits and priority access to premium models.
Who owns Genspark AI?
Genspark is owned by MainFunc Inc., a private US company founded by Eric Jing (CEO, ex-Microsoft and Baidu), Kay Zhu (CTO, ex-Google and Baidu), and Wen Sang (COO, MIT PhD). MainFunc became a unicorn within about 18 months.
Can Genspark AI really make phone calls?
Yes. Genspark’s Super Agent can place real phone calls with natural-sounding AI voices to handle tasks like reservations and inquiries, carrying on a genuine back-and-forth conversation rather than reading a fixed script.
Is Genspark better than ChatGPT?
They do different jobs. ChatGPT is a conversational model you guide turn by turn, while Genspark is an autonomous agent that returns finished deliverables. Genspark wins for hands-off multi-step work; ChatGPT is simpler for chatting, drafting, and brainstorming.
