AI consulting for the industries where getting it wrong isn't an option.
Every engagement starts the same way: we learn your operations before we touch any technology. We talk to your field teams, your compliance people, your leadership, because AI that doesn't fit how your organization actually works is just expensive shelfware.
We build with governance and compliance from day one, not as an afterthought. In energy, construction, and industrial operations, “we'll figure out compliance later” is how companies end up with AI projects that get killed by legal before they ever reach production.
With over 10 years in AI engineering and deep roots in critical infrastructure, we bring the rare combination of technical depth and operational fluency that this work demands.

Founder
Tyler started his career as a directional driller at SLB, operating across the Middle East, Africa, and the United States. With a background in petroleum engineering, he spent years on the operational front lines; environments where equipment failures have real consequences and field teams make critical decisions with the information they have.
He then pivoted to software engineering, spending over six years at one of the world's largest tech companies building production-scale systems. That dual fluency, understanding both how field operations run and how software systems are actually built, is what he brings to Novanix.
Tyler founded Novanix AI because he recognized that the operational challenges he lived through in energy exist across every industry where physical work meets high stakes. Construction teams managing complex builds, manufacturing plants running aging equipment, industrial operations buried in decades of documentation they can't efficiently access, these are all variations of the same problem. The AI tools being built for these industries are designed by people who've never worked in them, and the teams being asked to adopt those tools can tell.
Novanix builds AI systems for energy, industrial, and construction companies; designed for the people who actually use them, in environments where reliability isn't a feature request, it's a safety requirement.

Co-Founder
Lesley spent years as a Sr. AI Engineer at Shell, building and deploying predictive maintenance systems inside refineries and developing AI solutions for upstream operations in the Gulf of Mexico. She built them inside the facilities where they had to perform, working alongside the operations and maintenance teams who depended on them.
That experience gave her a perspective most AI practitioners never develop: the challenges that derail AI in energy operations (governance blind spots, compliance requirements, field adoption, safety constraints) are the same challenges that derail AI in construction, manufacturing, and heavy industry. The regulations differ. The equipment differs. But the pattern of failure is identical: systems built by people who understand the technology but have never worked in the environments where it has to survive.
She co-founded Novanix AI to serve companies across energy, industrial operations, and construction that need AI built for their reality. Novanix specializes in AI strategy, governance, and RAG-based knowledge systems that turn accumulated operational documentation into reliable, auditable tools for the teams who need them, whether those teams are on a refinery floor, a construction site, or a manufacturing line.
Lesley holds certifications in cybersecurity and is an active participant in the AI safety and AI security communities. In industries where AI systems interact with physical infrastructure and regulated processes, security and safety are not separate concerns from the engineering. They are the engineering.
Most AI consultancies serve everyone, SaaS companies, retail, healthcare, finance, and your industry as an afterthought. We chose to focus exclusively on the industries where:
Model failure has physical consequences
Regulatory compliance isn’t optional
Operations teams need to trust the system before they’ll use it
The gap between “AI demo” and “AI in production” is widest
This focus means we understand your constraints, your compliance requirements, and your teams, before we walk in the door.
Most AI consultants can explain a transformer architecture. We can explain why your predictive maintenance model keeps generating false positives on your centrifugal compressors, and what to do about it.
If your crews won't use it, it doesn't matter how elegant the model is. Every solution is designed with the end user in mind, whether that's a field technician, a project manager, or a plant operator.
We don't hand off slide decks and disappear. We measure outcomes, adjust course quarterly, and stay embedded with your team until the work delivers what we promised.
We regularly work alongside management consultants, IT services firms, and legal teams who serve energy and construction companies. If your clients are asking about AI and you need a technical partner who understands their industry, we should talk.