Route optimization looks perfect on paper, but real drivers live in a very different world.

In this episode of Your AI Injection, host Deep Dhillon sits down with Richard Savoie, founder and CEO of Adiona, to unpack the hidden human and economic costs behind fast shipping. Richard shares what he saw firsthand on ride-alongs with drivers, including brutally long days, routes so complex no one else can cover them, and an industry still reliant on tribal knowledge that disappears as experienced workers retire. They explore how traditional route optimization often fails in the real world, producing mathematically “perfect” plans that drivers reject. Richard explains how Adiona’s AI blends advanced optimization with real-world experience to create routes drivers actually follow, improving performance while reducing burnout and delivering solutions that work on the ground.

Deep and Richard also dive into the counterintuitive economics of sustainability. Most companies don’t have spare margin for “green,” so emissions reduction has to pay for itself. They break down how right-sizing fleets and cutting unnecessary miles can slash costs and carbon at the same time, often delivering bigger sustainability gains than buying electric vehicles alone. The conversation also examines why last-mile delivery is so expensive and raises an uncomfortable question about whether more efficient logistics are improving lives and sustainability or quietly accelerating the overconsumption behind modern e-commerce.

Learn more about Richard here: https://www.linkedin.com/in/richsavoie/

and Adiona here: https://www.adionatech.com/

Check out our related episodes:

1. Is Your Truck Driver Awake? AI-Powered Alerts Are Slashing Fleet Crashes with Gareth Bathers of EXEROS Technologies
2. Can AI Help the Energy Industry Plug Costly Methane Leaks? with Ryan Sullivan of Bridger Photonics
3. 3 Million Gallons Vanished? The AI Smart City Revolution That's Making Water Waste Visible with Ashwin Chandran of McCord Development
   
   
   

What if the most powerful climate intervention isn’t policy, but precision?

Deep Dhillon sits down with Ryan Sullivan of Bridger Photonics to unpack how AI, physics, and aerial sensing are being used to hunt down methane leaks that can cost operators dearly and accelerate climate impact. Ryan explains how methane detection has matured over the past decade, and why Bridger’s approach (laser-based lidar tuned to methane) can identify the specific valve, tank, or piece of equipment responsible.

They walk through the full pipeline: scanning swaths over infrastructure, reconstructing plumes from point-cloud data, applying supervised learning trained on ~15 years of labeled leak history, and then having expert analysts validate results with tooling that overlays plume density, wind conditions, and site geography. Then the two zoom out to the uncomfortable questions, like why Bridger refuses to play watchdog, how trust and data ownership shape the market, and what the “north star” looks like; near-real-time detection, autonomous flight patterns, and predictive maintenance that catches failures before they happen.

Learn more about Ryan here: https://www.linkedin.com/in/sullivar/

and Bridger Photonics here: https://www.bridgerphotonics.com/

Check out some of our related content here:

• 3 Million Gallons Vanished? The AI Smart City Revolution That's Making Water Waste Visible with Ashwin Chandran of McCord Development
• Recycling Space Debris: The Next Frontier in Manufacturing with Gary Calnan and Walter Schroeder of CisLunar Industries
• Can AI Save Pollinators from Extinction? It Begins in Your Backyard with Chris Cosma

Can your chatbot tell when you’re spiraling, or does it just play along?

In this episode of Your AI Injection, host Deep Dhillon sits down with Dr. Grin Lord, clinical psychologist and Founder/CEO of mpathic, to explore what happens when empathic AI meets real human vulnerability. Grin explains how a single 15-minute session of empathic listening in an ER setting led to massive drops in repeat drunk-driving incidents and billions in healthcare savings, and why that same science now underpins AI models that analyze clinician–patient conversations.

The two dig into how mpathic trains and validates models that can flag suicide risk, psychosis, and protocol deviations in high-stakes clinical trials, all while keeping a human in the loop. They also unpack a looming dilemma: as foundation models become eerily “good listeners,” will people prefer bots to friends and therapists? What harms emerge when AI politely reflects back someone’s delusions? Tune in to hear how psychologists are reshaping AI safety, and why your favorite assistant may soon be better at detecting crises than your closest human relationships.

Learn more about Grin here: https://www.linkedin.com/in/grinlord/

and mpathic here: https://www.mpathic.ai

Check out our related episodes:

1. Can Humanoid Robots Save Us from Loneliness? The Promise and Peril of Empathetic AI with Niv Sundaram of Machani Robotics
2. Is AI the Missing Ingredient for Curbing Cravings? Emotional Eating Meets Machine Learning with Dr. Sera Lavelle
3. Can AI Spot Diseases Your Doctor Might Miss? The Machine That Never Gets Tired with RJ Kedziora of Estenda Solutions