Sia @ Datastride Analytics
Our founding team brings two decades of collective expertise in data analytics, distilled from years of hands-on experience. This seasoned knowledge and proven strategies are now embedded in our AI-powered data analytics companion, Sia.
Meet the Team
Divya Krishna
CEO / Co-Founder
Divya, a problem-solving enthusiast, transitioned from mathematics to data analytics, her true passion. She’s committed to demystifying data insights, fostering a data-driven mindset, and making data analysis accessible for all.
Karthik Chandrashekhar
COO/Co-Founder
Karthik is a well-rounded professional passionate about technology, nature, and sports. He excels at simplifying complex concepts, injecting creativity into product development. He primarily focuses on innovation and enhancing systems.
Sumalata Kamat
CTO/Co-Founder
Sumalata, with a passion for art and patterns from childhood, seamlessly blends her artistic flair with data analytics. Her unwavering commitment to excellence propels innovative adventures that push the boundaries of what’s possible.
Why Sia
We’re focused on building your
ultimate data analytics experience.
The All-in-one Data Analytics Powerhouse
Datastride Analytics is a leader in AI and data analytics, committed to helping businesses unlock the power of their data. Our mission is to provide innovative, easy-to-use solutions that drive growth and efficiency. Sia is a cutting-edge tool meticulously crafted to streamline data processing for both data analytics professionals & business experts.
Unlock the Power of Sensor Data Analytics,
Get Flexibility & Control with Sia.
Our Mission
To simplify the complex sensor data analytics processes prevalent across industry sectors today, ensuring that businesses can scale faster and harness the latest advancements in AI & ML.
Our values are the compass guiding our journey.
At Sia, we’ve initiated a revolutionary era in knowledge management, democratizing data intelligence for everyone. Our platform is driven by a people-centered approach, supported by high-performing data science teams and business experts.