Soham Mazumdar is the Co-Founder and CEO of WisdomAI, an organization on the forefront of AI-driven options. Previous to founding WisdomAI in 2023, he was Co-Founder and Chief Architect at Rubrik, the place he performed a key position in scaling the corporate over a 9-year interval. Soham beforehand held engineering management roles at Fb and Google, the place he contributed to core search infrastructure and was acknowledged with the Google Founder’s Award. He additionally co-founded Tagtile, a cell loyalty platform acquired by Fb. With twenty years of expertise in software program structure and AI innovation, Soham is a seasoned entrepreneur and technologist based mostly within the San Francisco Bay Space.
WisdomAI is an AI-native enterprise intelligence platform that helps enterprises entry real-time, correct insights by integrating structured and unstructured knowledge via its proprietary “Information Material.” The platform powers specialised AI brokers that curate knowledge context, reply enterprise questions in pure language, and proactively floor developments or dangers—with out producing hallucinated content material. Not like conventional BI instruments, WisdomAI makes use of generative AI strictly for question technology, guaranteeing excessive accuracy and reliability. It integrates with current knowledge ecosystems and helps enterprise-grade safety, with early adoption by main corporations like Cisco and ConocoPhillips.
You co-founded Rubrik and helped scale it into a significant enterprise success. What impressed you to depart in 2023 and construct WisdomAI—and was there a specific second that clarified this new course?
The enterprise knowledge inefficiency downside was staring me proper within the face. Throughout my time at Rubrik, I witnessed firsthand how Fortune 500 firms have been drowning in knowledge however ravenous for insights. Even with all of the infrastructure we constructed, lower than 20% of enterprise customers truly had the fitting entry and know-how to make use of knowledge successfully of their day by day work. It was an enormous, systemic downside that nobody was actually fixing.
I am additionally a builder by nature – you may see it in my path from Google to Tagtile to Rubrik and now WisdomAI. I get energized by taking up basic challenges and constructing options from the bottom up. After serving to scale Rubrik to enterprise success, I felt that entrepreneurial pull once more to sort out one thing equally bold.
Final however not least, the AI alternative was unattainable to disregard. By 2023, it turned clear that AI might lastly bridge that hole between knowledge availability and knowledge usability. The timing felt excellent to construct one thing that would democratize knowledge insights for each enterprise consumer, not simply the technical few.
The second of readability got here once I realized we might mix the whole lot I might discovered about enterprise knowledge infrastructure at Rubrik with the transformative potential of AI to unravel this basic inefficiency downside.
WisdomAI introduces a “Information Material” and a collection of AI brokers. Are you able to break down how this technique works collectively to maneuver past conventional BI dashboards?
We have constructed an agentic knowledge insights platform that works with knowledge the place it’s – structured, unstructured, and even “soiled” knowledge. Quite than asking analytics groups to run reviews, enterprise managers can instantly ask questions and drill into particulars. Our platform might be educated on any knowledge warehousing system by analyzing question logs.
We’re appropriate with main cloud knowledge providers like Snowflake, Microsoft Material, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and likewise simply doc codecs like excel, PDF, powerpoint and so forth.
Not like typical instruments designed primarily for analysts, our conversational interface empowers enterprise customers to get solutions instantly, whereas our multi-agent structure permits complicated queries throughout various knowledge methods.
You have emphasised that WisdomAI avoids hallucinations by separating GenAI from reply technology. Are you able to clarify how your system makes use of GenAI in another way—and why that issues for enterprise belief?
Our AI-Prepared Context Mannequin trains on the group’s knowledge to create a common context understanding that solutions questions with excessive semantic accuracy whereas sustaining knowledge privateness and governance. Moreover, we use generative AI to formulate well-scoped queries that permit us to extract knowledge from the totally different methods, versus feeding uncooked knowledge into the LLMs. That is essential for addressing hallucination and security issues with LLMs.
You coined the time period “Agentic Knowledge Insights Platform.” How is agentic intelligence totally different from conventional analytics instruments and even commonplace LLM-based assistants?
Conventional BI stacks sluggish decision-making as a result of each query has to battle its means via disconnected knowledge silos and a relay crew of specialists. When a chief income officer must know tips on how to shut the quarter, the reply usually passes via half a dozen palms—analysts wrangling CRM extracts, knowledge engineers stitching information collectively, and dashboard builders refreshing reviews—turning a easy question right into a multi-day venture.
Our platform breaks down these silos and places the complete depth of information one keystroke away, so the CRO can drill from headline metrics all the way in which to row-level element in seconds.
No ready within the analyst queue, no predefined dashboards that may’t sustain with new questions—simply true self-service insights delivered on the pace the enterprise strikes.
How do you guarantee WisdomAI adapts to the distinctive knowledge vocabulary and construction of every enterprise? What position does human enter play in refining the Information Material?
Working with knowledge the place and the way it’s – that is primarily the holy grail for enterprise enterprise intelligence. Conventional methods aren’t constructed to deal with unstructured knowledge or “soiled” knowledge with typos and errors. When info exists throughout assorted sources – databases, paperwork, telemetry knowledge – organizations wrestle to combine this info cohesively.
With out capabilities to deal with these various knowledge sorts, worthwhile context stays remoted in separate methods. Our platform might be educated on any knowledge warehousing system by analyzing question logs, permitting it to adapt to every group’s distinctive knowledge vocabulary and construction.
You have described WisdomAI’s improvement course of as ‘vibe coding’—constructing product experiences instantly in code first, then iterating via real-world use. What benefits has this method given you in comparison with conventional product design?
“Vibe coding” is a big shift in how software program is constructed the place builders leverage the facility of AI instruments to generate code just by describing the specified performance in pure language. It’s like an clever assistant that does what you need the software program to do, and it writes the code for you. This dramatically reduces the guide time and effort historically required for coding.
For years, the creation of digital merchandise has largely adopted a well-known script: meticulously plan the product and UX design, then execute the event, and iterate based mostly on suggestions. The logic was clear as a result of investing in design upfront minimizes pricey rework through the costlier and time-consuming improvement section. However what occurs when the associated fee and time to execute that improvement drastically shrinks? This functionality flips the normal improvement sequence on its head. Immediately, builders can begin constructing useful software program based mostly on a high-level understanding of the necessities, even earlier than detailed product and UX designs are finalized.
With the pace of AI code technology, the trouble concerned in creating exhaustive upfront designs can, in sure contexts, develop into comparatively extra time-consuming than getting a fundamental, useful model of the software program up and working. The brand new paradigm on the planet of vibe coding turns into: execute (code with AI), then adapt (design and refine).
This method permits for extremely early consumer validation of the core ideas. Think about getting suggestions on the precise performance of a function earlier than investing closely in detailed visible designs. This will result in extra user-centric designs, because the design course of is instantly knowledgeable by how customers work together with a tangible product.
At WisdomAI, we actively embrace AI code technology. We have discovered that by embracing speedy preliminary improvement, we are able to rapidly take a look at core functionalities and collect invaluable consumer suggestions early within the course of, stay on the product. This enables our design crew to then concentrate on refining the consumer expertise and visible design based mostly on real-world utilization, resulting in simpler and user-loved merchandise, quicker.
From gross sales and advertising to manufacturing and buyer success, WisdomAI targets a large spectrum of enterprise use circumstances. Which verticals have seen the quickest adoption—and what use circumstances have shocked you of their impression?
We have seen transformative outcomes with a number of prospects. For F500 oil and gasoline firm, ConocoPhillips, drilling engineers and operators now use our platform to question complicated nicely knowledge instantly in pure language. Earlier than WisdomAI, these engineers wanted technical assist for even fundamental operational questions on nicely standing or job efficiency. Now they’ll immediately entry this info whereas concurrently evaluating towards finest practices of their drilling manuals—all via the identical conversational interface. They evaluated quite a few AI distributors in a six-month course of, and our resolution delivered a 50% accuracy enchancment over the closest competitor.
At a hyper progress Cyber Safety firm Descope, WisdomAI is used as a digital knowledge analyst for Gross sales and Finance. We lowered report creation time from 2-3 days to simply 2-3 hours—a 90% lower. This remodeled their weekly gross sales conferences from data-gathering workouts to technique periods targeted on actionable insights. As their CRO notes, “Knowledge AI brings knowledge to my fingertips. It actually democratizes the info, bringing me the facility to go reply questions and transfer on with my day, slightly than outline your query, look forward to anyone to construct that reply, after which get it in 5 days.” This means to make data-driven choices with unprecedented pace has been significantly essential for a fast-growing firm within the aggressive id administration market.
A sensible instance: A chief income officer asks, “How am I going to shut my quarter?” Our platform instantly affords an inventory of pending offers to concentrate on, together with info on what’s delaying every one – resembling particular questions prospects are ready to have answered. This occurs with 5 keystrokes as a substitute of 5 specialists and days of delay.
Many firms in the present day are overloaded with dashboards, reviews, and siloed instruments. What are the commonest misconceptions enterprises have about enterprise intelligence in the present day?
Organizations sit on troves of knowledge but wrestle to leverage this knowledge for fast decision-making. The problem is not nearly having knowledge, however working with it in its pure state – which frequently consists of “soiled” knowledge not cleaned of typos or errors. Firms make investments closely in infrastructure however face bottlenecks with inflexible dashboards, poor knowledge hygiene, and siloed info. Most enterprises want specialised groups to run reviews, creating important delays when enterprise leaders want solutions rapidly. The interface the place folks eat knowledge stays outdated regardless of developments in cloud knowledge engines and knowledge science.
Do you view WisdomAI as augmenting or ultimately changing current BI instruments like Tableau or Looker? How do you match into the broader enterprise knowledge stack?
We’re appropriate with main cloud knowledge providers like Snowflake, Microsoft Material, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and likewise simply doc codecs like excel, PDF, powerpoint and so forth. Our method transforms the interface the place folks eat knowledge, which has remained outdated regardless of developments in cloud knowledge engines and knowledge science.
Wanting forward, the place do you see WisdomAI in 5 years—and the way do you see the idea of “agentic intelligence” evolving throughout the enterprise panorama?
The way forward for analytics is shifting from specialist-driven reviews to self-service intelligence accessible to everybody. BI instruments have been round for 20+ years, however adoption hasn’t even reached 20% of firm workers. In the meantime, in simply twelve months, 60% of office customers adopted ChatGPT, many utilizing it for knowledge evaluation. This dramatic distinction exhibits the potential for conversational interfaces to extend adoption.
We’re seeing a basic shift the place all workers can instantly interrogate knowledge with out technical expertise. The long run will mix the computational energy of AI with pure human interplay, permitting insights to seek out customers proactively slightly than requiring them to hunt via dashboards.
Thanks for the nice interview, readers who want to study extra ought to go to WisdomAI.