The Outsprinting the Incumbents: Inside Sola AI

In the world of Enterprise software, “Sales” is usually a slow, bureaucratic dance. It involves golf trips, 18-month procurement cycles, and safe, “nobody-ever-got-fired-for-buying-IBM” decisions.

Then there are Jessica Wu and Neil Deshmukh, the founders of Sola AI.

Sola is an agentic process automation platform currently replacing legacy, brittle software (RPA) at Fortune 100 companies and AmLaw 100 firms. They are 5x-ing their revenue and doubling execution volume month-over-month by out-hustling the world’s largest software incumbents.

The Problem: The Rigidity Tax of Brittle Automation

For 20 years, companies used Robotic Process Automation (RPA) to handle “dumb” tasks. If you needed to move data from a PDF to a spreadsheet, a bot would record your mouse clicks and repeat them.

The problem? RPA is brittle. If a website changes a single button or moves a menu by one pixel, the bot breaks.

Large enterprises currently spend millions of dollars on “maintenance” just to keep their automation alive. They are paying a Rigidity Tax that kills their ability to scale.

The Playbook: Agentic AI That “Sees” Intent

Jessica (a former MIT quant researcher) and Neil (who previously built hospital systems at MGH) realized that AI agents don’t need to record mouse clicks; they need to understand the intent of the work.

Sola uses agentic AI to “see” and “reason” across browser and desktop applications the way a human does. It handles the most critical operational workflows (billing, shipments, patient data) without breaking when a UI changes.

The Founder Lesson: Selling the “Fake” Feature

The Sola team followed the classic, gritty Y-Combinator playbook: Sell before you build.

When Sola was just an idea, the founders didn’t spend six months in a lab. They went to customers and pitched a product that barely had an MVP.

1. The High-Stakes Pitch: They told enterprise leaders, “Our tool can automate this specific, impossible workflow.”
2. The Hard “Yes”: When a customer said they’d buy it if it existed, the team didn’t ask for a six-month roadmap. They said, “It will be ready in two weeks.”
3. The Basement Sprint: Jessica and Neil then spent those two weeks in a coding basement, working 20-hour days to build exactly what the customer had just agreed to buy.

By the time the contract was signed, the product was real.

Founder Lessons: The “Ground Truth” DNA

1. Objectivity Beats Emotion

As the youngest quant researcher at a top hedge fund, Jessica learned to calculate the odds of every move. In a startup, you hit constant “lows.” The Sola team treats these as data points. If a customer leaves, they don’t mourn; they recalculate the statistical odds and pivot.

2. Total Ownership and Zero Latency

Neil’s experience building at MGH showed him how brittle legacy systems are in the real world. They traded stable, high-paying jobs for 7-day work weeks because they realized that friction is the enemy of scale.

3. Speed is the Only Moat

Sola wins because they ship faster than legacy incumbents can hold a meeting. They have performed massive deployments on Christmas Day because that was the only window the customer had. They out-hustle the bureaucracy by living on the front lines.

Final Word

The era of the “Safe Choice” in software is ending.

Fortune 500 companies like a16z are realizing they can no longer afford to wait for legacy vendors to catch up to AI. They are betting on founders like Jessica Wu and Neil Deshmukh because they aren’t just buying a tool, they are buying the speed and grit required to reverse-engineer the modern enterprise.