Artificial intelligence (AI) and data analytics have exploded onto the market in recent months, creating many entrepreneurs and businesses seemingly overnight. However, the name most gaining traction, particularly in the world of AI startups, is Vikram Aditya, co-founder and CEO of Crunchit.ai. Bringing with him a solid background in AI and expansive data expertise, Aditya and his team have set out to redefine how businesses approach data-driven decision-making.
A fascination with AI and data essentially fueled the earliest days of Aditya's career. With a strong foundation in human-computer interaction, he has worked on various projects, including wireless gestures, sensors, and devices, as well as augmented and virtual reality. His experience in tech products led him to contribute early on to Merkle Science, a company that developed leading-edge products for intelligence agencies, government entities, banks, and financial institutions in an effort to prevent crypto crime and facilitate forensic evaluations effectively.
In his previous role at Sprinklr, Aditya led the product and design charter, where he contributed substantially to the company's growth. He was ultimately awarded the "Extraordinary Contribution" and "Emerging Leader of the Year" Awards for his outstanding work. Furthermore, Aditya's entrepreneurial spirit soon led him to launch DAOLens, a company that was founded as a tool for managing DAO infrastructure and was effectively used by more than 500 DAOs at its peak.
Simply put, Crunchit.ai is Aditya's latest and most compelling venture, standing as evidence of his commitment to reshaping data analytics. With a strict focus on developing an LLM (large language model) for analytics, Crunchit.ai looks to span the chasm between data leaders, operational leaders, and business growth professionals. At this time, the company has already made substantial strides, raising $5 million in one of the largest pre-seed rounds for a tech startup.
The team at Crunchit.ai believes that the world of dashboards should continue to move forward. They believe technology is headed to a future where, when something goes wrong, AI systems not only do a root cause analysis but also prepare a list of tasks that the executives can just meet and approve. "For example," the company states, "when the inventory is running out for a retail player, the AI will analyze the root cause and tackle it or possibly also place an advance order for re-stocking ahead of scheduled orders. The executives only get notified and they have a co-pilot at their disposal for any follow-up questions."
Crunchit.ai is working toward that future today, shipping purpose-built AI agents to perform analysis with the same level of granularity as a human being and a semantic layer that provides for the context that humans have. They are also in a beta pilot with several large, established logos.
The company's library of functions essentially enables stakeholders to access data insights without the inconvenient need to rely on intermediaries. This forward-thinking approach has led to partnerships with publicly listed companies valued at over $200 billion. The company's AI has achieved an impressive 95% accuracy on various data sets, ultimately paving the road for hallucination-free AI adoption. Like any venture worth undertaking, however, Crunchit.ai did not materialize without its share of challenges and triumphs.
Developing an accurate AI model has been a continuous test for Aditya and his team. To overcome the inherent difficulties, they had to create a metric layer that maps raw data to business terms and, in turn, enables AI to understand the context of user queries. Furthermore (as though that wasn't enough), the team had to develop a proprietary library of functions that allows the AI to critique its own outputs and perform sequential steps to provide reliable answers. Nevertheless, through all the trials and tribulations, Aditya's experiences have taught him valuable lessons that he is thrilled to share with the industry.
Overall, the CEO emphasizes the importance of piloting AI tools at a sprint rather than a full-scale implementation and identifying data sets and desired outcomes as the best way for teams to approach AI adoption. He stresses the value of working with teams that can collaborate in person, which Aditya feels leads to more effective outcomes. With a robust vision for Crunchit.ai to make data insights accessible to all stakeholders, Aditya looks forward to eliminating the need for intermediaries as the company only continues to gain traction.
