Overview of the Practical Founders Podcast — Episode #192 (Dinakara Nagalla)
This episode features Dinakara Nagalla (founder & former CEO of EmpowerMX) in conversation with Greg Head. Dinakara tells the practical founder story of building a vertical SaaS business that digitized aircraft maintenance for the world’s largest airlines without traditional VC funding, scaling it through family-office and growth-equity support, selling it to a strategic acquirer in 2024, and now pivoting to AI products that “humanize AI” (mental health, education). The episode mixes product/market detail, fundraising choices, exit lessons, and philosophical reflections about purpose and ethics for founders.
EmpowerMX — product, customers and impact
- What it did
- A cloud-native, mobile-first SaaS platform that digitized the entire aircraft maintenance execution process: planning manpower and tasks, directing technicians (“who works on what card”), execution tracking, parts/predictive needs and dashboards up to aircraft release.
- Replaced paper-based workflows and delivered real operational control and visibility for hangar and line maintenance.
- Customers and ARPU
- Deployed at global majors (American, Delta, Southwest, United) and large MRO/airline groups in the Middle East and elsewhere.
- Typical annual spend: low-end customers (couple hundred thousand USD), largest customers several million USD per year; billing model: base fee + usage (labor-hour) charge.
- Value / ROI
- Conservatively delivered ~10% savings on maintenance checks; an example customer credited the platform with net profit improvements > $100M over time.
- Technology
- Early adopter of AWS cloud (first native cloud product in space), mobile-first; embedded predictive analytics / ML (custom algorithms for manpower, parts prediction, predictive non-routine work) before the current generative-AI wave.
Growth, funding and exit (practical funding path)
- Funding path
- Early support from a Minneapolis family office (seed, growth capital) and later a growth-equity round (2018) to fund international expansion and scale sales/product.
- Deliberately avoided traditional venture rounds; used practical, partner-like investors that helped open customers and channels.
- Team growth
- Started with a very small core engineering team (about 11–12 initially), grew to ~90–100+ across the US and India; onshore leadership in Dallas, sizable tech/implementation team in India.
- COVID impact
- Revenue and utilization dropped sharply during the initial COVID shutdown (operations near zero for a period), but digitization became a higher priority and the company rebounded strongly as travel resumed.
- Exit
- Acquired in a process initiated in 2023 and closed in 2024 by a strategic industrial AI / aviation software player (referred to as IFS/IFS.AI in the conversation). EmpowerMX’s team and technology merged into the buyer’s A&D division; Dinakara exited and did not remain as a long-term operator.
Life after exit — current focus & new ventures
- Immediate pivot
- Dinakara moved straight into building multiple AI products rather than taking a long break.
- Product themes
- Human-centered AI: projects aimed at improving quality of life rather than replacing humans.
- Mental health: a platform with a “digital twin” to assist therapists (automated transcription/notes, session support).
- Education: an AI assistant for classrooms and students (structured tutoring/learning support rather than open-ended LLMs), product referenced as “RT” in development.
- Business model & mission
- Ventures will be for-profit but include nonprofit angles (access for underserved populations, pro-bono channels) to ensure broad benefit.
- Ethical stance on AI
- Strong emphasis on supplementing human work, not simply replacing it; acknowledges the reality that most funding today backs replacement-first approaches and that wealth concentration is a real social consequence.
Notable quotes & soundbites
- “If you like what you do, you're not working another day.” — On intrinsic motivation and founder stamina.
- “It’s a tool in the toolbox.” — How EmpowerMX was positioned for technicians: not “software” but a workplace tool.
- “We save at a minimum 10%.” — Empirical, conservative ROI claim for maintenance events.
- “Becoming human” — Title and theme: re-finding purpose, embracing imperfections, balancing ambition with ethics.
- “95% of the funding is going into replacing humans.” — A blunt take on the current AI funding landscape and its social implications.
Key practical lessons for founders
- Solve a real, measurable problem
- Target enterprise problems with clear dollar ROI (e.g., 10%+ savings on a billion-dollar operational process).
- Domain expertise matters
- Deep experience in the domain (Dinakara’s background in airline maintenance) accelerates trust and product-market fit.
- Build trust with frontline users
- Hire practitioners from the floor to define workflows and build credibility with end users (technicians, planners).
- Founder-as-sales-leader
- Early-stage founders must be the chief trust-builders; founder involvement in selling complex enterprise deals is often required.
- Practical funding can outperform VC in certain niches
- Family office and growth-equity partners who bring customer introductions and longer-term perspective can be better fits for complex vertical SaaS.
- Design for humans first (UX & adoption)
- Make the product feel like a workplace tool, not a clunky enterprise system — adoption follows.
- Plan for employee transition and emotions in exits
- Managing team identity and morale during M&A is one of the hardest parts of selling a mission-driven product company.
- Ethical boundary-setting with AI
- Decide early whether you will augment or replace human work; if augmenting, design for accessibility and equitable value distribution.
Actionable takeaways / checklist for practical founders
- Before raising VC, validate:
- Can you demonstrate clear dollar ROI to customers?
- Are there strategic non-VC investors (family office, growth equity) who can add distribution value?
- Hire at least one subject-matter practitioner into product/customer-facing roles to capture tacit domain knowledge.
- Make onboarding/adoption the product’s success metric (not just feature parity).
- Consider base + usage pricing (or pay-per-hour models) for operations-driven SaaS tied to customer economics.
- If building AI features:
- Start by removing laborious tasks (notes, documentation, repetitive entry).
- Build bounded, structured experiences for vertical use cases (vs. open-ended LLMs).
- Embed nonprofit/affordable access channels if your mission includes broad social benefit.
Episode highlights / timeline (concise)
- Early career: Dinakara starts in aviation IT at American Airlines; gains domain expertise.
- 2011: Launches cloud-native, mobile-first EmpowerMX to digitize aircraft maintenance.
- Growth: Small engineering core → ~90–100+ team across US and India; customer roster includes global airline majors.
- 2018: Growth-equity round to scale internationally.
- COVID: Short-term shock, long-term acceleration of digitization.
- 2023–2024: Sale process; acquired by strategic industrial AI player (IFS/IFS.AI); Dinakara exits and moves to new projects.
- Post-exit: Building AI startups focused on mental health, education, and human-centered AI; published book “Becoming Human” (content drawn from years of reflection).
This episode is particularly useful for founders building vertical B2B/SaaS in regulated, mission-critical industries: it’s a case study in deep domain product design, practical capital choices, friction-heavy sales, demonstrating ROI, surviving macro shocks, and preserving ethical priorities while adopting AI.