.... ensuring assurance in complexity & uncertainty

ORKASH is an innovation driven company working in the area of Cognitive Computing and Artificial Intelligence Data-sciences. We create  intelligent-systems capable of analysis and data fusion of massive amounts of unstructured data for applications in Open Source Intelligence (OSINT), Consumer Behaviour & Brand Intelligence, IoT and Operational Risk Management.

ORKASH has developed an integrated platform for Open Source Intelligence (OSINT) and Cognitive Computing, that scales to big data levels for analytics and automated knowledge discovery. It is the only such system in the world with the capability for Deep Learning and Natural Language Processing (NLP) of Asian Languages, including languages from India, Middle East, South Asia and Southeast Asia.

Our inter-disciplinary teams of investigators, data scientists, and grass-root level intelligence collection ability integrates deeply with technology. This delivers multidisciplinary strategic and tactical intelligence for real-life uses for the emerging markets and developing countries.

We often work at the confluence of business, government, and not-for-profit organizations in high impact roles to radically improve business performance, decision-making and achievement of enterprise goals. Our work enables our clients to respond to new opportunities, competitive forces, and risks, quickly and efficiently.

Our client-base is diverse, consisting primarily of large and mid-size internationally active businesses and financial institutions, including many of the Fortune 1000 companies and government agencies.

ORKASH LABS, the hi-technology R&D wing of Orkash, is focused on creating new-age  technology applications that plug the gap between information access (search engines, knowledge management systems, etc.) and human cognition based information analysis (human-intelligence). These are designed to support decision makers in the business, the government and the security agencies. The company has cutting edge technology and R&D expertise across following specialist domains:

• Natural Language Processing (NLP), Deep Learning and Human Cognition based AI Expert Engines
• Massively large and parallel data mining and deep-learning systems for analysis of unstructured ‘Big Data’ in real time
• Real-time Data Fusion and Analytics Engines for Streaming Data
• Automated Intelligence Analysis & Decision Support Engines
• Supercomputing Scale Clusters & Cloud computing
• Massive scale GIS Analytics