WisdomAI is a company that believes data drives decisions better. The company is also putting data insights at the fingertips of every employee. Pulse 2.0 interviewed WisdomAI co-founder and CEO Soham Mazumdar to learn more about the company.
Soham Mazumdar’s Background
What is Soham Mazumdar’s background? Mazumdar said:
“I’m the Co-Founder and CEO of WisdomAI, which I founded in 2023. Prior to this, I was Co-Founder and Chief Architect at Rubrik, where I played a key role in scaling the company over a 9-year period. I previously held engineering leadership roles at Facebook and Google, where I contributed to core search infrastructure and was recognized with the Google Founder’s Award. I also co-founded Tagtile, a mobile loyalty platform that was acquired by Facebook. I have two decades of experience in software architecture and AI innovation, and I’m based in the San Francisco Bay Area.”
Formation Of The Company
How did the idea for the company come together? Mazumdar shared:
“The enterprise data inefficiency problem was staring me right in the face. During my time at Rubrik, I witnessed firsthand how Fortune 500 companies were drowning in data but starving for insights. Even with all the infrastructure we built, less than 20% of enterprise users actually had the right access and know-how to use data effectively in their daily work. It was a massive, systemic problem that no one was really solving.”
“I’m also a builder by nature – you can see it in my path from Google to Tagtile to Rubrik and now WisdomAI. I get energized by taking on fundamental challenges and building solutions from the ground up. The moment of clarity came when I realized we could combine everything I’d learned about enterprise data infrastructure at Rubrik with the transformative potential of AI to solve this fundamental inefficiency problem.”
Favorite Memory
What has been your favorite memory working for the company so far? Mazumdar reflected:
“One of my favorite memories building WisdomAI was during our very first pilot. The product was still in a raw, pre-beta state, with plenty of rough edges—but we shared it with the Co-Founder and Head of Growth at a fast-growing startup to get early feedback. Shortly after trying it out, he messaged us saying, “I am loving this!!!! 10x CRO.” That moment really stuck with me—not just because of the enthusiasm, but because it validated the core vision of what we were building. Even in its early form, the product was clearly resonating with real users and solving real problems.”
Core Products
What are the company’s core products and features? Mazumdar explained:
“We’ve built an agentic data insights platform that works with data where it is – structured, unstructured, and even ‘dirty’ data. Rather than asking analytics teams to run reports, business managers can directly ask questions and drill into details. Our platform can be trained on any data warehousing system by analyzing query logs.”
“We’re compatible with major cloud data services like Snowflake, Microsoft Fabric, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and also just document formats like excel, PDF, powerpoint etc. Unlike conventional tools designed primarily for analysts, our conversational interface empowers business users to get answers directly, while our multi-agent architecture enables complex queries across diverse data systems.”
Challenges Faced
What challenges have Mazumdar and the team faced in building the company? Mazumdar acknowledged:
“Organizations sit on troves of information yet struggle to leverage this data for quick decision-making. The challenge isn’t just about having data, but working with it in its natural state, which often includes ‘dirty’ data not cleaned of typos or errors.
Companies invest heavily in infrastructure but face bottlenecks with rigid dashboards, poor data hygiene, and siloed information. Most enterprises need specialized teams to run reports, creating significant delays when business leaders need answers quickly. We addressed this by using generative AI to formulate well-scoped queries that allow us to extract data from the different systems, as opposed to feeding raw data into the LLMs. This is crucial for addressing hallucination and safety concerns with LLMs.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since its launch? Mazumdar noted:
“Since launching, our technology has evolved significantly in response to how our customers are scaling usage. What started with expert teams has quickly expanded to broader, less technical users—so we’ve invested heavily in building high-quality onboarding workflows and intuitive experiences. As an analytics product, the range of data systems we integrate with keeps expanding, and we’ve had to build for that growing surface area. At the same time, the types of analysis users expect from WisdomAI have become increasingly complex as they grow more confident in the platform. We’re continuously investing across all these dimensions to keep up with that momentum.”
Significant Milestones
What have been some of the company’s most significant milestones? Mazumdar cited:
“Over the past year, we’ve hit several significant milestones at WisdomAI. We kicked off our first pilot about a year ago with a fast-growing startup, even while the product was still in a very raw state. Just six months later, we landed our first Fortune 500 customer—an early sign that we were solving a real and urgent problem. In May, we officially came out of stealth, and in June, we showcased WisdomAI at our first major industry event, the Snowflake Summit. Most recently, we brought on our Head of Sales, marking an important transition from exclusively founder-led sales to building a more scalable go-to-market motion.”
Customer Success Stories
When asking Mazumdar about customer success stories, he highlighted:
“We’ve seen transformative results with multiple customers. For F500 oil and gas company, ConocoPhillips, drilling engineers and operators now use our platform to query complex well data directly in natural language. Before WisdomAI, these engineers needed technical help for even basic operational questions about well status or job performance. Now they can instantly access this information while simultaneously comparing against best practices in their drilling manuals—all through the same conversational interface. They evaluated numerous AI vendors in a six-month process, and our solution delivered a 50% accuracy improvement over the closest competitor.”
“At a hyper growth Cyber Security company Descope, WisdomAI is used as a virtual data analyst for Sales and Finance. We reduced report creation time from 2-3 days to just 2-3 hours—a 90% decrease. This transformed their weekly sales meetings from data-gathering exercises to strategy sessions focused on actionable insights.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing?
“BI tools have been around for 20+ years, but adoption hasn’t even reached 20% of company employees. Meanwhile, in just twelve months, 60% of workplace users adopted ChatGPT, many using it for data analysis. This dramatic difference shows the potential for conversational interfaces to increase adoption.”
Differentiation From The Competition
What differentiates the company from its competition? Mazumdar affirmed:
“Traditional BI stacks slow decision-making because every question has to fight its way through disconnected data silos and a relay team of specialists. When a chief revenue officer needs to know how to close the quarter, the answer typically passes through half a dozen hands—analysts wrangling CRM extracts, data engineers stitching files together, and dashboard builders refreshing reports—turning a simple query into a multi-day project.”
“Our platform breaks down those silos and puts the full depth of data one keystroke away, so the CRO can drill from headline metrics all the way to row-level detail in seconds. No waiting in the analyst queue, no predefined dashboards that can’t keep up with new questions—just true self-service insights delivered at the speed the business moves.”
Future Company Goals
What are some of the company’s future goals? Mazumdar emphasized:
“The future of analytics is moving from specialist-driven reports to self-service intelligence accessible to everyone. We’re seeing a fundamental shift where all employees can directly interrogate data without technical skills. The future will combine the computational power of AI with natural human interaction, allowing insights to find users proactively rather than requiring them to hunt through dashboards.”
Additional Thoughts
Any other topics you would like to discuss? Mazumdar concluded:
“At WisdomAI, we actively embrace AI code generation through what I call ‘vibe coding’ – building product experiences directly in code first, then iterating through real-world use. This approach allows for incredibly early user validation of the core concepts and lets our design team focus on refining the user experience based on real-world usage, leading to more effective and user-loved products, faster.”
