Heuro Labs
Drawing Actionable Insights from Unstructured Data

In today’s interconnected world, organizations barely run out of facts, statistics, and data to help them make better business decisions. This abundance, however, has finally become the noose. With an incessant data proliferation outpacing our ability to digest it, an increasing number of organizations continually find themselves struggling to mine actionable insights from the stockpile efficiently. Actionable insights—the missing link between data and business value—is now the imperative to gain a competitive edge in the present information-driven era. And, this business imperative is precisely what Berlin-based AI firm, Heuro Labs, promises to deliver. Pillared on its innovative AI framework that seamlessly integrates with connected devices and Big Data frameworks, Heuro Labs transforms data from unstructured bits into contextual and actionable insights and intelligence.

Mohamed Sayed, Founder of Heuro Labs, says, “In today’s businesses, the major challenges lie in the inabilities to extract more value from underutilized internal data assets. And, to address this, we rely on the combination of data value process automation and knowledge retention.” To unlock contextual insights from unstructured data sets, and henceforth gain actionable intelligence on the same, Heuro Labs has designed an enabling technology that employs the ability to comprehend semantics of unstructured data and the context within them.

Heuro Labs has designed an enabling technology that employs the ability to comprehend semantics of unstructured data and the context within them

With its next-generation AI platform, the company envisions to make machines intelligent and autonomous so that humans can focus on other crucial tasks—that substantially add to an organization’s productivity.

Tomorrow’s industries are foreseen to be leaner, faster, and most importantly self-orchestrated, and Heuro Labs finds itself central amidst the unprecedented change. To put the company’s AI expertise in a clearer perspective, Mohamed sites an instance wherein Heuro Labs helped one of its clients overcome the strenuous challenge of procuring commodities from multiple vendors scattered throughout diversified marketplaces. Owing to regulations, energy requirements, and other influential factors governing net cost, the prices of essential commodities at suppliers’ end continually fluctuated and at times, to a great extent. Consequently, the company lacked a clear perception of the cost fluctuation which, in return, often delayed its own the delivery deadlines. Heuro Labs bridged the gap and offered clearer insights into pricing strategies by exploiting customer’s data, fusing it with third-party data sets and predicting the price for commodities set by different suppliers. “We were looking at pricing strategies and local prices from different suppliers, alongside acquiring third-party data sources on other suppliers in the market and incorporating the same.” Apart from predicting the quantitative prices of those commodities, Heuro Labs also provided its client with qualitative rational explanations behind those pricing strategies. Since the powerful machine intelligence technology could act and provide insights based on multiple time zones, the client could negotiate on a global scale and gain access to competitively priced commodities from the world over.

Moving ahead, Heuro Labs aims to evolve beyond the paradigm of deep learning and explore newer horizons in order to enhance the human-machine feedback loop and collaboration. Mohamed says, “While continuously improvising our R&D methodologies and outputs, we look forward to work with other European as well as global companies and allow them to leverage our intellectual property and software.”