Back in June 2024 – an eternity within the fast-moving field of generative AI – a startup founded by Microsoft, Google and Baidu alumni got here calling MainFunc launched its first product: Gensparkan AI search engine.
Since then, the conflict between generative AI, which may create latest content on demand, and search, which traditionally retrieves it, has only worsened across the industry. Google recently expanded its Gemini AI Studio to incorporate search grounding and naturally OpenAI just integrated its powerful real-time web SearchGPT directly into its signature chatbot product ChatGPT.
But now MainFunc — powered by a $60 million seed round led by Singapore-based Lanchi Ventures and backed by global angel investors — is striking back. is partnering with AI model maker Anthropic to launch “Distill Web.” for Genspark, a tool designed to make financial reports more comprehensible and accessible.
The tool was launched earlier this week and offers a variety of features Genspark's AI search engineincluding Genspark Finance.
All in all, Distill Web simply offers its users the flexibility to go looking for greater than 300,000 publicly traded corporations and create sophisticated, readable and attractive financial reports on their earnings – complete with colourful graphs and charts – making this complex financial data easy and visual -To use formats for a large audience.
Whether you ought to see how Apple is doing after the launch of the brand new iPhone lineup or how Google is weathering the AI wars, Distill Web can create reports that highlight these and plenty of other corporations' financial reports, routinely highlighting interesting outliers and trends . It's like Yahoo or Google Finance on steroids.
“We imagine search will turn out to be a fundamental tool for agents within the AI era,” said Eric Jing, co-founder and CEO of MainFunc and former Chief Product Manager of Search & Corporate VP at Baidu. “People don’t just seek for a question or a listing of links – they arrive to finish tasks. By combining different tools, agents can do rather more than simply search.”
With greater than 1 million monthly users acquired through word of mouth in only 4 months, Genspark.ai is already establishing itself as a serious player in AI-powered data accessibility. The latest update underscores its broader vision of redefining the best way users interact with data.
Make financial information more accessible to people outside the financial industry
“Our target market just isn’t financial professionals – they’re on a regular basis users who want to know financial data from publicly traded corporations,” Jing told VentureBeat. “Ultimately, we hope to have the opportunity to assist individuals with private company data.”
Distill Web's flagship feature, Corporate Earnings Visual Reports, offers a brand new strategy to view financial information.
These AI-powered visualizations transform complex business profits into fluid charts, illustrating revenue streams, costs, and profit margins. The platform currently offers over 300,000 visual reports, with more being added monthly.
To further improve accessibility, Genspark also offers free financial data packages. These downloadable PDFs provide visual evaluation of the profit and loss statements of over 100 large corporations, allowing users to simply track income, expenses and profits.
Partnerships for product integration
MainFunc claims that Genspark is superior to other AI search efforts because of its efforts to supply high-quality, accurate data – so it's not aiming for scandals like Google's AI overviews, which offer hallucinated and erroneous information, for instance.
“What sets us apart is that we don’t just use AI to supply tools – we construct data platforms,” Jing said. “Our approach combines AI-generated insights with traditional coding techniques to make sure the accuracy and trustworthiness of economic data.”
As a part of this concentrate on accuracy, MainFunc evaluated which of the leading large language models (LLMs) could be best suited to crawl financial data and produce accurate charts and graphs and located that it was Anthropic's Claude family – so the 2 worked together on this effort.
“We found that Claude, Anthropic’s model, is especially good at handling numbers and sophisticated calculations in comparison with others like OpenAI,” Jing explained. “That’s why we worked with them on financial data evaluation.”
To further construct trust, Genspark implements strict validation measures. “A serious obstacle to constructing trust in AI is hallucination. To address this issue, we double-check the numbers using AI and traditional formula-based techniques. It is vital that the information is accurate and reliable.”
Ask and also you shall receive
Distill Web offers greater than just static reports via Genspark. The all-in-one business dashboard consolidates key financial metrics for over 70,000 corporations and provides a comprehensive overview of performance in a single place.
For users in search of deeper insights, AI-powered Financial Copilot answers tailored questions, equivalent to comparing with competitors or identifying growth drivers.
This user-centric approach reflects MainFunc's broader mission.
“Regular users often don’t know what inquiries to ask when taking a look at financial data,” Jing said. “That's why we present ready-made, visually appealing reports. Users can search these and ask follow-up questions if vital, removing the initial hurdle of making queries.”
Further differentiated functions will follow
For the long run, MainFunc plans to further expand its offering and introduce latest features to Genspark Search.
Jing told VentureBeat: “We are launching a brand new data discovery agent soon. It will autonomously collect accurate data from multiple sources, even when users are offline, and deliver leads to minutes that will normally take hours or days.”
The company's broader vision goes beyond tools and focuses on transforming data accessibility. “We imagine that high-quality data is more invaluable than the models themselves. Our mission is to create a platform that changes the best way people access and understand data, especially for non-expert users,” says Jing .
