The SaaS Podcast: Episode 453

StackAI: From MIT PhD to 7-Figure Enterprise AI Platform
Guest: Bernard Acaituno (Co-Founder, StackAI)
Host: Omer Khan
Date: September 18, 2025

Episode Overview

In this insightful episode, Omer Khan interviews Bernard Acaituno, co-founder of StackAI—an enterprise SaaS company enabling organizations to build AI agents for automating back office workflows. Bernard shares his unique journey from an MIT PhD in AI to founder of a seven-figure SaaS platform, highlighting critical pivots, customer-driven development, go-to-market lessons, and the challenges of focusing on the right customer segment. The episode is packed with actionable advice on iterating toward product-market fit, scaling sales, and executing disciplined experimentation.

Key Discussion Points & Insights

1. Bernard’s Background and the Leap from Academia to Startups

• [07:17] Bernard recounts coming from Venezuela, planning an academic career, and pivoting to startups after realizing research wasn’t having enough real-world impact.
  • “After a few years in academia...I enjoyed the work I was doing, but I didn't feel I was having as immediate of an impact as I could have at the moment.” — Bernard Acaituno [07:35]
• Early exposure to inefficiencies in legal and back office workflows (through family businesses) seeded his belief that AI should address these real-world problems.

2. From Dataset Tool to Workflow Automation Platform

• [11:25] StackAI’s initial product was a data labeling tool for machine learning teams, but customer feedback revealed greater pain in connecting workflows and automating tasks, especially for less technical users.
  • “By working with our customers ... we just kept seeing how what they were doing was really like the cherry on top of the cake. It wasn't where most of it was being accrued.” — Bernard Acaituno [11:37]
• The pivotal realization: The biggest opportunity wasn’t in model fine-tuning, but in enabling business teams to leverage AI for practical tasks.

3. How a Scrappy MVP Sparked Immediate Traction

• [13:31] Launching a visual, no-code MVP on Hacker News and other channels created a surge of interest—20 customer meetings in 48 hours.
  • “We first built a scaffold and an MVP, launched it online ... and we got right away 20 customer meetings in two days. So we said okay, there's something here.” — Bernard Acaituno [12:35]

4. Challenges of Chasing Too Many Customer Types

• [13:43] Early traction came from diverse customers (startups, SMBs, enterprises), which diluted focus and created confusion around ICP (Ideal Customer Profile).
• [15:03] Bernard emphasizes the importance of experiencing hypotheses and failures across segments:
  • “You really have to do everything yourself. You need the raw and filter feedback from every customer before you can move things forward.” — Bernard Acaituno [15:12]

5. Acquisition Channels: Early Wins and Failed Experiments

• [16:27] First $100k ARR driven by direct outbound, posting in forums, and leveraging early influencer support; highly visual product was key.
• [17:37] Attempts to use resellers early on failed due to rapidly evolving product and undefined messaging.
  • “In the early stages ... it's very hard and I would say almost counterproductive to try to get people to sell it for you.” — Bernard Acaituno [17:48]
• [18:53] Reseller partnerships worked only after ICP, messaging, and brand were established.

6. Discovering and Doubling Down on the Right ICP

• [19:49] The analysis of churn, ACVs, and expansion rates led them to focus on enterprise IT teams in large organizations—despite that segment representing only ~20% of initial revenue.
  • “We said small business ... really very unsticky, small ACVs... And then enterprises ... we could spend the time and make them successful ... After some tough discussions, we decided let's put our efforts here.” — Bernard Acaituno [20:02]
• Choosing financial services, insurance, and industrials as core verticals due to high-value, high-complexity back office processes.
• Targeting mid-market enterprises (100-1,000 employees) enabled successful AI adoption and steady expansion.

7. Building and Scaling Enterprise Sales

• [27:15] Founder-led sales were essential for the first dozen enterprise customers.
  • “Since the beginning it's doing things that don't scale. The first, you know, a dozen enterprise clients were all coming from founder led sales.” — Bernard Acaituno [27:17]
• Iterative learning about pricing, sales process, and expansion strategies (cross-selling into multiple teams/workflows).
• Deployed a unique “AI strategy and forward deploy engineers” model to drive post-sale expansion and retention.

8. Timing in Hiring Sales and Key Lessons

• [30:53] Bernard warns about waiting too long to transition from founder-led sales to hiring account executives and SDRs:
  • “It wasn't until we were in almost 2 million when we brought our first personal AK to Outreach and ... our first AE ... I think having brought some of that help earlier ... would have helped us accelerate more meaningfully.” — Bernard Acaituno [31:16]

9. The Discipline of Experimentation

• [33:07] Rigorous, fully committed experiments—rather than half-hearted tests—are critical to identifying repeatable channels and tactics.
  • “You need to give a fair shot to any idea you think could work... dedicate two hours per day to really work on this ... really measure it... After three months, say, hey, I gave it a fair shot.” — Bernard Acaituno [33:13]

Notable Quotes & Memorable Moments

• “Risk is the ultimate differentiator. ... Taking risks is the only way to consistently achieve above average performance in life as well as in my investments ... the ability to see all the variables and identify the ones that will make or break you.” — Bernard Acaituno quoting Sam Zell [04:15]
• “Do things that don't scale right away.” — Bernard Acaituno [35:54]
• “We are innovating in AI, not in sales. We don't have to reinvent the wheel.” — Bernard Acaituno [36:23]
• “You need to be very daring for sure. And you ... cannot really care about what people tell you. ... Double down.” — Bernard Acaituno [36:50]
• On productivity: “The best personal productivity tool is time boxing... The other thing... is to know about the builder and the seller schedule...” [37:06]

Important Timestamps

• [04:00] Inspirational quote on risk from Sam Zell: Bernard’s approach to risk in startups
• [07:17] Bernard’s journey from Venezuela to MIT to entrepreneurship
• [11:25] Pivot from dataset/tools to workflow automation—early customer signals
• [12:35] MVP launch and rapid traction via Hacker News
• [13:43] ICP confusion and lessons from diverse early adopters
• [17:37] Failure of early reseller channel attempts
• [19:49] Decision to focus on enterprise IT (ICP refinement and impact)
• [25:22] Defining verticals and why financial/industrial mid-market enterprises work best
• [27:15] Founder-led enterprise sales, learning repeatable post-sale strategies
• [31:16] Reflection on timing of hiring outbound/sales team
• [33:13] The necessity of rigorous, full-effort experimentation

Lightning Round Highlights

• Best Business Advice: “Do things that don't scale right away.” [35:54]
• Book Recommendations: Sam Altman and Paul Graham’s essays for 0-1M ARR; Predictable Revenue for building the first sales team [36:00]
• Attributes of a Successful Founder: Being daring, resilient to outside opinions, doubling down [36:50]
• Personal Productivity: Time boxing and separating “builder” vs. “seller” schedules [37:06]
• Fun Fact: Bernard’s passion is applied mathematics and nonlinear dynamics [39:54]
• Dream Business: Vertically integrated AI companies in industries like healthcare or finance [38:36]

Summary

This episode is a masterclass on evolving a technical insight into a scalable, enterprise SaaS business through customer obsession, disciplined iteration, and hard-won go-to-market lessons. Bernard’s candid reflections on focus, early-stage struggles, and the power of rigorous testing offer a roadmap for founders navigating similar journeys in AI or SaaS.

If you’re building in SaaS, navigating product-market fit, or experimenting with your go-to-market, this conversation provides both inspiration and a tactical playbook for what it really takes to build, pivot, and scale.

For more, visit StackAI or connect with Bernard on Twitter or LinkedIn.