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 function 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 by its proprietary “Data Cloth.” 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. In contrast to conventional BI instruments, WisdomAI makes use of generative AI strictly for question technology, guaranteeing excessive accuracy and reliability. It integrates with present knowledge ecosystems and helps enterprise-grade safety, with early adoption by main companies 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 route?
The enterprise knowledge inefficiency drawback 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 proper entry and know-how to make use of knowledge successfully of their every day work. It was a large, systemic drawback 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 might 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 consumer, not simply the technical few.
The second of readability got here after I realized we might mix all the things I would discovered about enterprise knowledge infrastructure at Rubrik with the transformative potential of AI to resolve this elementary inefficiency drawback.
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. Somewhat than asking analytics groups to run reviews, enterprise managers can immediately ask questions and drill into particulars. Our platform may be educated on any knowledge warehousing system by analyzing question logs.
We’re suitable with main cloud knowledge providers 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 typical instruments designed primarily for analysts, our conversational interface empowers enterprise customers to get solutions immediately, whereas our multi-agent structure allows complicated queries throughout various knowledge programs.
You’ve got 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 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 considerations with LLMs.
You coined the time period “Agentic Knowledge 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 approach by disconnected knowledge silos and a relay group of specialists. When a chief income officer must know find out how to shut the quarter, the reply usually passes by half a dozen arms—analysts wrangling CRM extracts, knowledge engineers stitching information collectively, and dashboard builders refreshing reviews—turning a easy question right into a multi-day challenge.
Our platform breaks down these silos and places the total 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 velocity the enterprise strikes.
How do you guarantee WisdomAI adapts to the distinctive knowledge vocabulary and construction of every enterprise? What function does human enter play in refining the Data Cloth?
Working with knowledge the place and the way it’s – that is basically 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 data exists throughout assorted sources – databases, paperwork, telemetry knowledge – organizations wrestle to combine this data cohesively.
With out capabilities to deal with these various knowledge varieties, beneficial context stays remoted in separate programs. Our platform may 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’ve got described WisdomAI’s improvement course of as ‘vibe coding’—constructing product experiences immediately in code first, then iterating by real-world use. What benefits has this strategy 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 ability 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-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 expensive rework throughout the dearer and time-consuming improvement section. However what occurs when the associated fee and time to execute that improvement drastically shrinks? This functionality flips the standard improvement sequence on its head. All of the sudden, 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 velocity of AI code technology, the trouble concerned in creating exhaustive upfront designs can, in sure contexts, turn out to be comparatively extra time-consuming than getting a primary, 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 strategy permits for extremely early consumer validation of the core ideas. Think about getting suggestions on the precise performance of a characteristic earlier than investing closely in detailed visible designs. This will result in extra user-centric designs, because the design course of is immediately knowledgeable by how customers work together with a tangible product.
At WisdomAI, we actively embrace AI code technology. We have discovered that by embracing fast preliminary improvement, we will rapidly take a look at core functionalities and collect invaluable consumer suggestions early within the course of, dwell on the product. This permits our design group to then deal with 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 clients. For F500 oil and fuel firm, ConocoPhillips, drilling engineers and operators now use our platform to question complicated nicely knowledge immediately in pure language. Earlier than WisdomAI, these engineers wanted technical assist for even primary operational questions on nicely standing or job efficiency. Now they will immediately entry this data whereas concurrently evaluating towards greatest practices of their drilling manuals—all by the identical conversational interface. They evaluated quite a few AI distributors in a six-month course of, and our answer 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 decreased 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 centered on actionable insights. As their CRO notes, “Knowledge AI brings knowledge to my fingertips. It actually democratizes the info, bringing me the ability to go reply questions and transfer on with my day, somewhat than outline your query, look ahead to any person to construct that reply, after which get it in 5 days.” This means to make data-driven selections with unprecedented velocity has been significantly essential for a fast-growing firm within the aggressive identification 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 deal with, together with data on what’s delaying every one – akin to particular questions clients 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 commonest 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 contains “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 data. Most enterprises want specialised groups to run reviews, creating vital delays when enterprise leaders want solutions rapidly. The interface the place individuals eat knowledge stays outdated regardless of developments in cloud knowledge engines and knowledge science.
Do you view WisdomAI as augmenting or finally 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 providers 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 strategy transforms the interface the place individuals 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 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 staff. 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 staff can immediately interrogate knowledge with out technical expertise. The longer term will mix the computational energy of AI with pure human interplay, permitting insights to search out customers proactively somewhat than requiring them to hunt by dashboards.
Thanks for the nice interview, readers who want to study extra ought to go to WisdomAI.
