30 Fastest Growing Companies in Asia 2017

Developing powerful business apps and solutions with cutting edge data science, AI and natural language interfaces: App Orchid, Inc.

thesiliconreview-krishna-kumar-ceo-founder-app-orchid-inc-2017The advancements in AI and Machine Learning are reshaping the business landscape, supercharging performance and enabling the emergence of business innovations and new forms of competition. While the consumer markets have responded and adapted well to these advancements, the enterprise ecosystem is still struggling with data issues and viable use cases that justify multi-million dollar investments in these projects. Mobility, internet and networking, several trillions of man-years of collective wisdom, which could have profound implications for business, economy and the society as a whole, have made it to the digital universe, but still remain largely untapped. To achieve this, App Orchid Inc. specializes in the science of Artificial Intelligence and Cognitive Computing and creates “apps” that make the internet of everything think like a human brain. It applies AI and natural language processing to extract and blend structured data from the Internet of Things and operational databases, with unstructured, free-flowing data from Tribal Knowledge and the Internet of Everything.

App Orchid was founded in 2013 by Krishna Kumar, an entrepreneur with experience in founding similar successful enterprise companies. Based in Redwood City, the company has grown exponentially with multiple customers in healthcare, insurance and energy verticals. Within a short span of 24 months, the company has expanded to over 50 employees at an annual growth rate of over 500% to about 10M in annual revenues. 

Replacing the traditional analytical tools

App Orchid’s product stack primarily deals with vast amounts of unstructured and structured data. It takes an “App based” approach allowing organizations to take smaller bites, while being able to test and try out advanced AI concepts without overwhelming their operational systems. Such a non-invasive approach allows enterprises to “test-drive” their business functions and check the viability of applying revolutionary digital technologies against their landscape. A rapid prototyping approach enables them to quickly asses what works and what doesn’t, thereby providing them with data points to quick production and enable viable ideas while seamlessly dismantling ideas that don’t work.

App Orchid is the only company that provides a very rich template of prebuilt business recipes that enable for rapid test driving and deployment of AI applications. Using a unique approach towards AI based on a technology called the “semantic web”, the technology is automatically capable of performing knowledge discovery, i.e. discovering relationships between the data points, knowledge acquisition, i.e. acquire the knowledge and automatically load the data into its data structures and finally knowledge curation, i.e. converting the data into predefined app templates.

Solutions that help stay ahead of the game

App Orchid’s solutions range from Energy Management, Insurance Risk Assessment and Underwriting and finally Clinical trials for personalized medicine and targeted therapies.

  • Energy and Natural Resource Management: App Orchid’s AI technology helps to integrate complex wind and solar energy profiles into the electric grid. Using high performance machine learning, the AI apps can identify sections of the electric grid that are prone to failure and remedy these inconsistencies before they cripple the grid.
  • Actuarial Analysis [Risk Management] for Insurance: App Orchid can help combine unstructured documents like compliance, regulations, market rules, regional mandates with risk analytics for superior risk profiling and evaluation.
  • Catastrophe Risk and Damage Analysis for Utilities and Insurance: Incorporate historical weather patterns, news, research reports, and social media into calculations of risk from potential catastrophes to price coverage or determine prudent levels of reinsurance.
  • Targeted Risk Analysis: With the wealth of individual information available on people and organizations, App Orchid makes it possible to apply AI and cognitive computing principles to provide risk profiles targeted down to an individual.
  • Claims Processing: By unifying unstructured data across historical claims, App Orchid solutions make it possible to establish ground rules (or quantitative metrics) across fuzzy baselines that were previously not possible.
  • Targeted therapies in drug discoveries: By combining complex genomic data with electronic medical records, unstructured diagnosis reports and toxicology reports, the App Orchid AI bots can predict drug efficacies, toxicity and viability across several conditions. Such powerful tools can dramatically help life science companies formulate personalized therapies thereby increasing the predictability of a success in a drug pipeline.

Journey of the company so far

Founded in 2013, the first couple of years were spent in understanding and sizing the market and developing the prototypes to validate the concept. The company worked with several forward-thinking institutions like the Independent System Operation of New England, a large Fortune 100 Biotech company amongst others. Following these successes, they took the product to multiple customers like American Water, Energinet [national grid of Denmark] to deploy larger AI projects in very short project cycles.

App Orchid plans to extend its platform using next generation compute technologies like GPU to gain deeper insights in healthcare, insurance and energy. The company is currently working on using AI to analyze medical images and mammograms that will help in early stage cancer detection and diagnosis. “Though, these kinds of research are already underway in several institutions, the AI platform is unique because it combines lots of unstructured and other third party contextual data sources to influence its training algorithms”, the company said.

Knowing the leader behind App Orchid, CEO Krishna Kumar

Krishna Kumar is an entrepreneur, innovator, visionary and architect with proven expertise in taking a concept to a market-leading industry recognized commercial product. Within a short period, he has commercialized the product, secured beachhead customers and made the company profitable with 300% Quarter over Quarter growth. Prior to App Orchid, Krishna was the founder and CEO of Space Time Insight, a company with over 44M in VC financing. Under his leadership, Space Time Insight created a market called Situational Intelligence.

He has also successfully envisioned and implemented product roadmaps. Krishna already has 2 patents on big data and has filed for 7 more in the field of Cognitive Computing and ‘Internet of Things’. Prior to that he was the Vice President of Ness, a NASDAQ listed company spearheading the SAP practices.

“We use Big Data based in-memory technology to perform deep learning to identify patterns, risks and opportunities previously impossible with traditional analytical tools. Our Natural Language and/or gamified UX makes retrieving accurate answers as simple as typing a question in Google.”