Coreworks AI is a startup that utilizes multi-agent AI to transform raw business data into fully traceable, boardroom-ready reports, spreadsheets, and presentations in minutes. Pulse 2.0 interviewed Coreworks co-founder and CEO Pavan Sondur to learn more.
Pavan Sondur’s Background
Could you tell me more about your background? Sondur said:
“I come from an engineering background and have spent most of my career building products focused on scalability and real-world usability.”
“Before Coreworks, my co-founder and I built and exited a previous company together (Unbxd), which gave us a strong foundation in both product development and go-to-market execution. That experience shaped how we think about building and staying close to users, moving quickly, and focusing on outcomes rather than features.”
Formation Of The Company
How did the idea for the company come together? Sondur shared:
“The idea for Coreworks came from a problem we had experienced ourselves.”
“Prashant’s (Coreworks co-founder) wife, who works in finance, was exhausted from building reports and decks repetitively as part of her workflow. We thought ‘There has to be an easier way to do this!’ and an alternative didn’t exist. Turning data into something actionable, like reports or presentations still requires a lot of manual effort. Existing tools either help analyze data or present it, but rarely both in a seamless way.”
“We saw an opportunity to build something that could take raw data and bring it all the way to a finished output, without requiring constant back-and-forth or rework.”
Favorite Memory
What has been your favorite memory working for the company so far? Sondur reflected:
“One of the most rewarding moments has been seeing teams use the product for recurring workflows.”
“When customers tell us they’ve automated something that used to take days into a much faster and more reliable process, it’s a strong validation of what we’re building.”
Core Products
What are the company’s core products and features? Sondur explained:
“Our core product is what we call the AI Super Analyst.”
“It’s designed to streamline the entire data workflow, taking data from spreadsheets and turning it into finished outputs like reports or presentations.”
“Key capabilities include:
- Ingesting and analyzing spreadsheet data
- Generating structured outputs like decks and reports
- Providing traceability into how results were calculated
- Supporting both data-heavy and narrative-driven presentations
- An interactive Canvas workspace where users can modify inside the output
The goal is to remove the gap between analysis and delivery, while keeping everything interactive and transparent.”
Challenges Faced
Have you faced any challenges in your sector recently (and how did you overcome them)? Sondur acknowledged:
“The pace of change in AI right now is extremely fast, with new tools and updates coming out almost daily.”
“Our approach has been to stay focused on what doesn’t yet exist rather than reacting to every new trend. We’re building toward a clear product vision and continuously improving it instead of chasing incremental features.”
“That focus helps us move forward without getting distracted by short-term noise.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Sondur noted:
“Since launching, we’ve been continuously improving both the intelligence of our agents and the overall product experience.”
“A major focus has been reducing errors and increasing reliability, while also making the system more interactive through improvements to the Canvas and user interface.”
“We’ve also added more robust data handling and presentation capabilities, making it easier to go from raw data to structured outputs in a single flow.”
Significant Milestones
What have been some of the company’s most significant milestones? Sondur cited:
“Some of the key milestones include:
- Launching our initial waitlist and building early demand
- Releasing the first version of the product
- Successfully raising our $5M seed round
These milestones have allowed us to validate the problem and invest further in building the product.”
Customer Success Stories
Can you share any specific customer success stories? Sondur highlighted:
“We’ve seen strong adoption from customer success and post-sales teams.”
“For example, teams are using Coreworks to automate recurring reports like QBR decks, which traditionally require pulling data from multiple sources and manually assembling presentations.”
“By using Coreworks, they’re able to streamline that entire process and reduce the time spent on preparation, while also improving consistency and accuracy.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Sondur revealed:
“We’ve raised a $5M seed round led by Together Fund to support product development and growth. At this stage, our main focus is on building the product and ensuring strong adoption among teams that rely heavily on data workflows.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Sondur assessed:
“We’re targeting knowledge workers globally, which represents a market of roughly one billion people.”
“Within that, we’re particularly focused on teams that rely heavily on data analysis and reporting as part of their day-to-day work.”
Differentiation From The Competition
What differentiates the company from its competition? Sondur affirmed:
“The main differentiator is that we focus on delivering a finished output, not just a draft.”
“Many AI tools generate partial answers or require repeated prompting, and they often don’t provide visibility into how results were generated. On the other hand, presentation tools focus on formatting but don’t work deeply with data.”
“Coreworks bridges that gap by:
- Delivering complete outputs
- Providing clear traceability into how results are calculated
- Working directly with real data, not just text
This combination is something we don’t see in existing tools.”
Future Company Goals
What are some of the company’s future goals? Sondur emphasized:
“Our focus is on continuing to improve the product and expand its use cases.”
“This includes:
- Making the AI more reliable and accurate
- Expanding into enterprise workflows
- Supporting a wider range of use cases
- Saving even more time for teams working with data
Ultimately, we want Coreworks to become a core layer in how knowledge work gets done.”
Additional Thoughts
Any other topics you would like to discuss? Sondur concluded:
“One area we’re particularly focused on is trust in AI-generated outputs.”
“As AI becomes more widely used in professional workflows, it’s critical that users can understand where results come from. That’s why traceability and accuracy are central to how we’re building Coreworks.”
