MartyBeard.

There are roughly 490 million bus trips taken in New York City every year. On a good day, about 30% of city bus delays are caused by vehicles illegally parked in bus lanes and bus stops. Marty Beard looked at that number and didn't write a think piece. He built cameras.

As CEO of Hayden AI since August 2025, Beard leads the largest mobile automated bus zone and bike lane enforcement company in the United States. The company's AI-powered cameras mount to buses and parking enforcement vehicles, scanning the street in real time, tagging violators, and building an evidence chain without a single police interaction. No faces captured. No data retained. Just the violation, packaged and airtight.

His mandate is specific enough to be measurable: improve bus speeds, reliability, and safety. Cities running Hayden AI's platform are seeing bus speed improvements of 20% or more. That's not a rounding error. For a rider who depends on the M15 to get to work, it's the difference between making a shift and losing a job.

That framing - public transit company, not enforcement company, not surveillance tech - is a deliberate choice. Beard has spent enough time at the enterprise intersection of technology and institutional trust to know that mission framing is everything. When he talks about Hayden AI, he's talking about equitable mobility: the bus rider who can't afford Uber, the person in a wheelchair who depends on predictable transit, the city that needs its streets to work.

He doesn't collect extra credit for caring. He just makes sure the system proves it in the data: transit agencies own every byte of footage. No human identification. No long-term storage. The camera sees the car blocking the lane. After that, the data belongs to the city.

Beard's career doesn't follow a straight line. It follows a pattern: arrive at a company undergoing a strategic identity crisis, steady the ship, and steer it into the next chapter. He's done this at BlackBerry. He's done this at LiveOps. And he spent several years doing it from scratch at alwaysAI.

He started at Oracle as Vice President of Oracle Online, the company's e-commerce unit, in an era when "buying software online" was still a novel concept. From there, he moved to Sybase, eventually becoming President of Sybase 365, the mobile messaging and mobile commerce subsidiary. For six years he ran a unit sitting at the intersection of telecom and enterprise software before anyone was comfortable calling it both.

In 2011, he took the CEO role at LiveOps, then a cloud contact center platform built on an unusual premise: 20,000+ independent contractor agents working from home before "remote work" was a strategy. The pandemic would validate that model a decade later. Beard was already running it at scale. Under his leadership, LiveOps became an early proof-of-concept for distributed cloud labor markets.

Then came BlackBerry. In July 2014, he joined as COO when BlackBerry was still publicly losing the handset war and quietly pivoting toward enterprise security. He oversaw marketing, the BlackBerry 10 app ecosystem, and customer care during the company's most turbulent phase. The turnaround worked, eventually. BlackBerry became a serious cybersecurity and software company. Beard was part of that transition.

When he left BlackBerry in 2017, he didn't take a board seat or write a book. He co-founded alwaysAI in 2018 - a company built to put deep learning computer vision on edge devices. Not in the cloud. On the device. In real time. The year before edge AI was a mainstream talking point. He was building the thing that NVIDIA's Jetson platform was about to enable.

At alwaysAI, he worked with construction firms, manufacturers, and industrial operators who wanted computer vision without sending video footage to a data center. That experience - edge processing, privacy constraints, real-world deployments, enterprise sales cycles - maps directly to what Hayden AI does. The company's enforcement cameras run perception AI on the vehicle itself. Violations are detected at the edge before anything moves to the cloud.

Founded in 2019 and headquartered in San Francisco, Hayden AI built the largest mobile automated transit enforcement platform in the US. The core product: AI cameras mounted on buses and enforcement vehicles that detect vehicles blocking bus lanes, bus stops, and bike lanes in real time.

The system works 24 hours a day, across all weather conditions, including at night (night vision cameras are part of the stack). Each detection generates a violation record with timestamped footage, GPS coordinates, and AI-verified evidence - a complete chain for citation issuance. Cities use this data to issue automated citations, replace manual enforcement patrols, and build a case-by-case evidence archive that would be impossible to maintain at scale with human officers.

As of early 2026, Hayden AI has crossed 2,100 installations across major US and European cities. The platform recently expanded to parking enforcement vehicles for the first time - a meaningful product expansion that signals the company's ambitions beyond the transit bus. Beard is also watching the emerging use case around unpermitted construction in transit zones - a source of delays that's harder to cite but increasingly on cities' radar.

Beard's academic path is not what you'd predict. His undergraduate degree from UC Berkeley is a double major in History and Rhetoric - two disciplines that, at their core, are about understanding how power moves and how language shapes decisions. Neither is a technical degree. Both are, arguably, perfect training for an enterprise CEO who has to explain AI enforcement cameras to city governments.

Beard lives in San Diego. The company is in San Francisco. That's not unusual in California tech, but it matters as a signal: he's not a founder who tied his identity to the zip code. He runs the company; the company doesn't run his life.

He talks about Hayden AI's work in terms of equity more than efficiency. Bus riders are, statistically, lower-income than car commuters. When a car blocks a bus stop, it's not an inconvenience - it's a cumulative structural problem experienced primarily by people who don't have alternatives. Beard frames enforcement technology as a tool for redistributing road access, not just generating citations.

At BlackBerry's CES 2015 event, he was the public face of a company many in the media had already written off. He made the case for enterprise software with the calm of someone who knew where the company was actually going, even when the stock market didn't. That poise under narrative pressure is a recurring pattern.

He chose to co-found alwaysAI rather than take a comfortable executive role somewhere after BlackBerry. That's the detail that distinguishes an operator from a builder. He didn't just run the company. He started one from zero.