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 cellular loyalty platform acquired by Fb. With 20 years of expertise in software program structure and AI innovation, Soham is a seasoned entrepreneur and technologist primarily based 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 by way of its proprietary “Data Cloth.” The platform powers specialised AI brokers that curate knowledge context, reply enterprise questions in pure language, and proactively floor traits or dangers—with out producing hallucinated content material. In contrast to conventional BI instruments, WisdomAI makes use of generative AI strictly for question era, making certain excessive accuracy and reliability. It integrates with present 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 selected 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 corporations had 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 correct entry and know-how to make use of knowledge successfully of their each day work. It was a large, systemic downside that nobody was actually fixing.
I am additionally a builder by nature – you possibly can see it in my path from Google to Tagtile to Rubrik and now WisdomAI. I get energized by taking up elementary 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 unimaginable to disregard. By 2023, it turned clear that AI may lastly bridge that hole between knowledge availability and knowledge usability. The timing felt good to construct one thing that might democratize knowledge insights for each enterprise person, not simply the technical few.
The second of readability got here after I realized we may mix the whole lot I might discovered about enterprise knowledge infrastructure at Rubrik with the transformative potential of AI to resolve this elementary inefficiency downside.
WisdomAI introduces a “Data Cloth” and a set 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. Slightly than asking analytics groups to run reviews, enterprise managers can straight ask questions and drill into particulars. Our platform might be skilled on any knowledge warehousing system by analyzing question logs.
We’re suitable with main cloud knowledge companies like Snowflake, Microsoft Cloth, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and likewise simply doc codecs like excel, PDF, powerpoint and so on.
In contrast to standard instruments designed primarily for analysts, our conversational interface empowers enterprise customers to get solutions straight, whereas our multi-agent structure permits advanced queries throughout various knowledge programs.
You’ve got emphasised that WisdomAI avoids hallucinations by separating GenAI from reply era. 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 enable us to extract knowledge from the totally different programs, versus feeding uncooked knowledge into the LLMs. That is essential for addressing hallucination and security issues with LLMs.
You coined the time period “Agentic Information Insights Platform.” How is agentic intelligence totally different from conventional analytics instruments and even customary LLM-based assistants?
Conventional BI stacks sluggish decision-making as a result of each query has to battle its means by way of disconnected knowledge silos and a relay staff of specialists. When a chief income officer must know the best way to shut the quarter, the reply usually passes by way of half a dozen fingers—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 knowledge one keystroke away, so the CRO can drill from headline metrics all the best way 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 Data Cloth?
Working with knowledge the place and the way it’s – that is primarily the holy grail for enterprise enterprise intelligence. Conventional programs aren’t constructed to deal with unstructured knowledge or “soiled” knowledge with typos and errors. When info exists throughout diversified sources – databases, paperwork, telemetry knowledge – organizations wrestle to combine this info cohesively.
With out capabilities to deal with these various knowledge varieties, beneficial context stays remoted in separate programs. Our platform might be skilled on any knowledge warehousing system by analyzing question logs, permitting it to adapt to every group’s distinctive knowledge vocabulary and construction.
You’ve got described WisdomAI’s improvement course of as ‘vibe coding’—constructing product experiences straight in code first, then iterating by way of 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 handbook time and effort historically required for coding.
For years, the creation of digital merchandise has largely adopted a well-recognized script: meticulously plan the product and UX design, then execute the event, and iterate primarily based on suggestions. The logic was clear as a result of investing in design upfront minimizes pricey rework in the course of the dearer and time-consuming improvement section. However what occurs when the price and time to execute that improvement drastically shrinks? This functionality flips the normal improvement sequence on its head. Immediately, builders can begin constructing practical software program primarily based on a high-level understanding of the necessities, even earlier than detailed product and UX designs are finalized.
With the pace of AI code era, the hassle concerned in creating exhaustive upfront designs can, in sure contexts, change into comparatively extra time-consuming than getting a primary, practical 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 person 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 could result in extra user-centric designs, because the design course of is straight knowledgeable by how customers work together with a tangible product.
At WisdomAI, we actively embrace AI code era. We have discovered that by embracing fast preliminary improvement, we are able to rapidly check core functionalities and collect invaluable person suggestions early within the course of, stay on the product. This enables our design staff to then concentrate on refining the person expertise and visible design primarily based on real-world utilization, resulting in simpler and user-loved merchandise, sooner.
From gross sales and advertising and marketing to manufacturing and buyer success, WisdomAI targets a large spectrum of enterprise use instances. Which verticals have seen the quickest adoption—and what use instances have shocked you of their affect?
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 advanced effectively knowledge straight in pure language. Earlier than WisdomAI, these engineers wanted technical assist for even primary operational questions on effectively standing or job efficiency. Now they will immediately entry this info whereas concurrently evaluating in opposition to finest practices of their drilling manuals—all by way of 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 diminished 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 information, bringing me the facility to go reply questions and transfer on with my day, fairly than outline your query, watch for any individual to construct that reply, after which get it in 5 days.” This potential to make data-driven selections 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 presents 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 an alternative of 5 specialists and days of delay.
Many corporations immediately are overloaded with dashboards, reviews, and siloed instruments. What are the most typical misconceptions enterprises have about enterprise intelligence immediately?
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. Corporations 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 present BI instruments like Tableau or Looker? How do you match into the broader enterprise knowledge stack?
We’re suitable with main cloud knowledge companies like Snowflake, Microsoft Cloth, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and likewise simply doc codecs like excel, PDF, powerpoint and so on. Our method transforms the interface the place folks eat knowledge, which has remained outdated regardless of developments in cloud knowledge engines and knowledge science.
Trying 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 transferring 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 reveals the potential for conversational interfaces to extend adoption.
We’re seeing a elementary shift the place all workers can straight interrogate knowledge with out technical expertise. The longer term will mix the computational energy of AI with pure human interplay, permitting insights to seek out customers proactively fairly than requiring them to hunt by way of dashboards.
Thanks for the nice interview, readers who want to study extra ought to go to WisdomAI.
