AppOrchid: Ushering the New Era of Intelligent Apps

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Krishna Kumar, Founder & CEO

The ongoing trend of AI is changing the ways companies are approaching digital transformation. Companies are actively looking at AI to solve difficult enterprise problems, especially when large volumes of data are involved. Riding on that bandwagon, many companies are now looking at purpose-built predictive AI fueled apps that can transform the way they do business apps to streamline their internal process (like daily operations) and external interactions (like customer support). To help such companies that are looking for analytics/insights capability of AI, repeat entrepreneur and innovator, Krishna Kumar, founded AppOrchid in 2013 after his previous venture—Spacetime Insight—was acquired by Nokia.

Headquartered in Silicon Valley AppOrchid helps enterprise leverage their AI platform to build predictive AI fueled apps quickly. The company’s core platform makes it easy for customers to build smart applications that help them take proactive actions to mitigate unpredictable business risks.

To achieve this, the firm relies on in-memory databases (working memory of one or more connected device) to perform deep learning operations. AppOrchid also harnesses the prowess of artificial intelligence (AI) and natural language processing (NLP) to extract and blend structured and unstructured data from connected devices, documents and enterprise systems with tribal knowledge (information contained within a company’s employees). A key feature of their platform is their content rich “knowledge graphs”—pre-built industry and functional ontology that learns and adapts to their customer’s business as it changes, similar to how a human brain would. This allows the customer to make simple language queries and receive powerful insights that were not possible with traditional analytical tools.

Jagadeesh Macherla, Chief Architect

“For example, the knowledge graph helps AppOrchid’s clients to offer high-quality customer service to their customers,” comments Kumar, founder and CEO of AppOrchid.

Since its inception in 2013, AppOrchid has carved out its position as one of the flag bearers in the artificial intelligence space. In the diverse AI ecosystem, Kumar firmly points out the importance of artificial intelligence to probe deeper into the large industries. “Occupational hazard and machine security concerns are two of the major challenges for heavy industries. Using AI, AppOrchid builds applications that allow users to predict those potential challenges in their day to day business,” affirms Kumar.

Our platform is continuously learning, adapting to the changes in your business to help companies reduce their risk and stay competitive

Describing the brain of AppOrchid’s AI-based applications, Jagadeesh Macherla—chief architect of AppOrchid—talks about three core products of the company: Agora, Vulcan UX, and Cloud Seer. He explains, “Agora is an NLP Infrastructure and a big data science engine that lays the foundation for the company’s proprietary knowledge graph (digital representation of knowledge and decision support framework).” Agora works with Cloud Seer, a cognitive computing infrastructure, to source and understand structured and unstructured data collected from diverse sources. Further, Vulcan-UX makes human-computer interaction as seamless as possible. The solution leverages NLP to interact with humans in real-time. “These three pieces are crafted together to build a platform that offers us an arsenal of intelligent apps to mitigate modern day operational challenges,” explains Kumar.

“Today we have the computing power to process a large amount of data. However, today’s problem is that enterprises have incomplete and inadequate data. AI and particularly machine learning can be used to address this problem. Our platform does not require huge amounts of historical data; instead, we dynamically learn your business over time. Our platform is continuously learning, adapting to the changes in your business to help companies reduce their risk and stay competitive,” concludes Kumar.