Actionable Insights Across Data Streams
Semantic Understanding and Control of Enterprise's Application to Application Data Exchanges
Enterprise Data Exchanges are Diverse and Chaotic
A plethora of diverse applications make up the data ecosystem of an enterprise, making it difficult to extract valuable insights across the application data streams
Creates Challenges in Managing Data Exchanges
Data Fragmentation and Silos
Real-time App to App Data Understanding
Real-time App to App Data Understanding
Different applications developed to address different operational domains are semantically siloed, leading to inability to relate topics across domains.
Real-time App to App Data Understanding
Real-time App to App Data Understanding
Real-time App to App Data Understanding
Application to Application data streams have content that are transient and dynamic in nature, especially those related to generative AI applications. And must be understood in real-time
Securing Application Data Sharing
Real-time App to App Data Understanding
Securing Application Data Sharing
Data Security, Governance and Business Intelligence policies need to be uniformly specified across all enterprise applications and enforced for all application data streams.
Leading to Cost Impact and Operational Complexities
Data Blindspots prevent gaining understanding of the semantic content in data exchanges missing revenue impacting insights
Using custom logic to ensure consistent data semantics in each Application's communication layer or as part of a data processing pipeline is not scalable and is highly costly to maintain
Modern Enterprises need Application Independent Understanding and Policing of Data Exchanges
Benefits to Enterprise's Business Performance
Increase Revenue Reduce Costs
Create Competitive Resiliency
Increase Revenue Reduce Costs
Use the ability to understand and reason across business processes to find opportunities
Reduce Data Leakages
Create Competitive Resiliency
Increase Revenue Reduce Costs
Reduce Data Security and Compliance Risks especially with generative AI Applications
Create Competitive Resiliency
Create Competitive Resiliency
Create Competitive Resiliency
Be Nimble - Change Vendors, Partners to Scale Business or to Weather Ecosystem Shocks,
Real Time Data Visibility and Intelligence – In the News
SDC Executive: How AI-Powered Mapping Solutions Transform Supply Chain Visibility
Mar 21, 2025: In today’s logistics environment, where numerous factors regularly impact the supply chain, businesses must leverage every tool available to enhance operational resilience. The ability to anticipate delays, optimize delivery routes and observe assets in real-time are all essential. Today, real-time data ingestion, user feedback loops, AI-based “live” mapping, and predictive estimated time of arrival (ETA) capabilities are quickly moving from buzz terms to making logistics more efficient, cost-effective, and reliable.
Times Tech: AI-Powered Supply Chain Resilience: Enhancing Visibility, Predicting Risks, and ...
May 22, 2025 Supply chains have always been the backbone of global commerce. But recent years have made one thing clear—resilience is no longer optional. From geopolitical upheavals to climate events and sudden demand shifts, today’s supply chains are navigating constant uncertainty. In this dynamic landscape, Artificial Intelligence (AI) is proving to be a vital ally, enabling organizations to enhance visibility, anticipate disruptions, and build more sustainable operations.
About Drio
Dilip
Dilip
Years of time spent in building successful networking and security products that solve key business problems had led me to realize the need to uplevel understanding of traffic flowing between applications beyond the bits and bytes to the understanding of the data itself. The rise of gen AI / LLM based has transformed this into a critical enetrprise challenge.
Aloke
Dilip
I have built AI/ML platforms for extracting insights and detecting emergent issues from data across diverse sectors from manufacturing to cloud applications. The Tower of Babel problem inherent in data exchanges in the genAi based application ecosystem poses a crucial business problem - a great use case for a new semantic AI approach.
Alak
Alak
Real-time stream processing and AI/ML services has been a constant theme in my career. Building a semantic processing product for application to application traffic, I realized the missing key link was semantic understanding. Combining our ideas on how semantic policies can provide value, Drio was born to tackle the nes enterprise challenges.