Grids are under pressure like never before. Weather hits harder. Data piles up faster. And utilities can't afford to get it wrong.
So how do they move forward without taking on too much risk? That's exactly what Buzz Solutions is helping them figure out.
Vikhyat Chaudhry is the Founder of Buzz Solutions. He brings together power systems engineering with AI and machine learning. The company builds an AI software platform that turns inspection images and video into clear field action.
This article breaks down how the platform works, why utilities are now adopting AI faster, and what it takes to pass security and procurement.
It also covers how to shorten sales cycles with pilots, playbooks, and partner channels. Keep reading for Vikhyat’s clear guidance on this topic. (And check out the full podcast episode here.)
"We are an AI-powered software platform that provides visual intelligence."
Utilities capture visual data at scale. Drones, helicopters, fixed-wing aircraft, and fixed cameras generate millions of images and video streams. Buzz Solutions sits on the analytics side. It manages that data, then turns it into decisions.
The platform answers three practical questions:
- What problem exists with the asset?
- Where is it happening?
- What should the utility do next?
This approach supports proactive maintenance. It helps teams reach the field faster. It also helps prevent outages. In high-risk conditions, it can even support wildfire prevention by flagging hazards before they escalate.
The core value stays simple. Utilities already collect the data. The platform helps them act on it.
"Utilities are facing a lot of problems on the grid."
Adoption speeds up when old methods stop working. Utilities now address grid stress from multiple angles.
Several forces hit at once:
- Bidirectional power flows that legacy grids did not expect.
- Extreme weather that increases failure risk.
- Electrification goals that raise demand.
- Rising data center load that strains delivery.
Utilities also inspect more often now. Drones make that possible. However, drones create a new issue. Teams must process far more data than humans can handle.
AI and machine learning matured at the right time. Utilities can now pair frequent inspections with automated analysis. This combination turns "more data" into "better outcomes," not just more work.
"Cybersecurity, data security, and governance are of prime importance."
Utilities treat vendor security as a hard gate. They handle critical infrastructure data. So vendors must prove strong controls before deployment.
Buzz Solutions highlights the basic utilities expected:
- Encrypt data at rest and in transit.
- Run regular penetration tests and scans.
- Follow audit and certification paths, such as SOC 2 and ISO 27001.
- Complete detailed utility security questionnaires.
The platform also avoids a major risk point. It does not feed client data into public large language models. Utility contracts can forbid that outright. The company uses proprietary computer vision models for client work. In some NERC and CIP cases, it can deploy on-prem, but most deployments run as a secure SaaS instance.
A clear rule guides trust. Utilities own their raw data and metadata. The platform runs as the application layer on top of it.
"Sales cycles are long… 12 to 18 months on an average."
Selling enterprise SaaS to utilities takes time. Procurement, IT review, cybersecurity, and business teams all weigh in. Change management can reset deals if you rely on one stakeholder.
Buzz Solutions uses a few tactics to move faster:
- Multi-thread the relationship across teams. Don't bet on one person.
- Lead with education, not only pitch decks.
- Run steps in parallel when possible, not one after another.
The company also uses partner channels to speed entry. It works with ESRI in GIS and Skydio in drones. Those partners already sit inside utility workflows, so trust builds faster.
It also treats ROI as a core part of the process. Utilities want clarity on what accuracy means in business terms. They also want to know how the tool affects reliability, safety, and fieldwork.
"We are trying to set up an industry standard for education."
In a new category, early players must teach the market. Utilities need to understand what AI can do, how to evaluate it, and how to deploy it safely. Buzz Solutions built playbooks to guide that.
The content covers topics like:
- How to evaluate AI systems.
- How to scale deployment and measure ROI.
- How to pass procurement and cybersecurity reviews.
- How to work with AI governance committees.
The company creates most of this internally. It learned the market first-hand, so it wrote the first versions in-house. It then spreads the content through channels that utilities already trust.
These channels include conferences, trade shows, webinars, client podcasts, and published articles in industry outlets. Co-presenting with clients also matters because it turns claims into proof.
"Branding is very important, especially when there's a lot of noise."
Utilities see many vendors and many claims. Clear branding helps buyers understand what you actually sell. Buzz Solutions had to solve an early confusion problem.
Some utilities assumed it was a drone company. The company needed to show a different truth. It sells intelligence, not flight.
That shift required tight internal alignment. Sales feedback, product decisions, and customer success input all fed the message. The team then built branding standards, including site structure, templates, and consistent language.
It also chose a brand idea that fits the market. "Buzz" links to drones, power lines, and the hum of the energy sector. It also aligns with the current attention on AI, without relying on hype.
The company now sees branding as a growth tool. It supports trust, clarity, and funding outcomes. It also helps the market remember what the platform does.
Explore more ideas and practical advice on this topic.
Catch the full conversation with Vikhyat Chaudhry on The HEX-Files, HexaGroup’s energy marketing podcast for leaders who want real results.
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