Supersimple says its data analytics platform eliminates the need to know or learn technologies such as SQL or Python or think about database concepts, and allows anyone to create ad-hoc and complex solutions through a no-code, natural language interface. You will be able to answer questions with your data.
Supersimple, an Estonian AI-native data analytics platform that enables anyone to explore data and accurately answer complex questions in minutes, announced this week that it has raised $2.2 million in pre-seed funding. Did.
The round was led by Tera Ventures with participation from Specialist VC, Tiny VC, and various angel investors including the former CTO of Twilio and the founders of Sixfold and Grünfin.
Today's business intelligence (BI) and data analysis tools are a combination of static dashboards and unoriginal ChatGPT-like chat interfaces, so Supersimple aims to make enterprise software in the AI era more like chatbots. He says he is making a big bet on a future that cannot be seen. People can get very specific data insights rather than a few high-level graphs.
“What I love about Supersimple is that it lives up to its name. Our goal is not to compose graphs and queries, but to help employees and customers make better decisions. ,” said Tuomo Laine, CEO of Twice Commerce, a Supersimple customer.
“Supersimple stands out by making it clear how it builds on the insights you share, and making the user experience of double-clicking on it as easy as ABC.”
The funding will be used to accelerate customer growth and advance the state of the art in explainable AI.
The Supersimple team includes software developers, data scientists, and product designers with a proven track record of building widely adopted technologies and successful startups.
Co-founder and CTO Priit Haamer co-founded Sixfold, and co-founder and CEO Marko Klopets also worked there. This AI-based company merged with Transpoleon, which was later sold for US$2 billion. Most of Supersimple's machine learning engineering team comes from his Sixfold.
deep and specific questions
Supersimple's AI-native data analytics platform combines a semantic data modeling layer with cutting-edge explainable AI to provide users with reliable, consistent data that powers their daily work. Supersimple is specifically designed to help teams at B2B SaaS companies answer their own ad-hoc data questions, allowing non-technical team members to explore data well beyond pre-built dashboards. Gain insights and make better decisions.
“Most of the value of data doesn't come from staring at dashboards. Instead, it comes from asking deep, specific questions that test hypotheses, explore, and iterate. We built on this insight to ensure you always have the right information to make informed decisions,” says Klopets.
“Making structured data from data warehouses accessible and usable is Supersimple's first step toward becoming the fastest-growing enterprise operating system.”
Modern data stacks are better than ever, but organizations are still just scratching the surface in ensuring the right information is in the hands of the right people.
Thanks to recent advances in data warehousing and machine learning (including but not limited to large-scale language models), we can discover and explain valuable data insights and allow users to explore additional questions. Now you can build completely new user experiences.
Free up your data team
At Supersimple, we believe that a complete, purpose-built platform is required to provide the level of versatility and reliability required for inter-enterprise and mission-critical workflows. The company is also focusing on user experience and design, which have traditionally been a footnote.
Supersimple says its data analytics platform eliminates the need to know or learn technologies such as SQL or Python or think about database concepts, and allows anyone to create ad-hoc and complex solutions through a no-code, natural language interface. You will be able to answer questions with your data.
When you ask a question in plain English, Supersimple's AI explains every necessary step and eliminates hidden illusions so you can always trust the results. The company claims that all of this frees up data teams from responding to large volumes of data requests and instead allows them to focus on company-wide strategic data initiatives, empowering the rest of the organization. doing.
“Data warehouses have become ubiquitous over the past few years, and data stacks are better than ever. But enterprises still struggle to actually put their data to use,” says Tera Ventures Partner and Partner at Tera Ventures. says one Eamonn Carey. “When I heard Marco explain his vision and saw the platform in action, it was clear to me that this was the future.”
Photo by Markus Spiske on Unsplash.
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