Best AI & ML Consultants in Denver

Denver Area AI & ML Consulting Services

The Denver–Aurora–Lakewood area has rapidly become a powerhouse for innovation, not just in energy, aerospace, or construction, but also in artificial intelligence and machine learning (AI & ML).

Across Colorado’s Front Range, engineers and data specialists are embedding AI into everything from predictive maintenance for utilities to algorithmic design in architecture and smart city infrastructure. In Denver, the line between engineering and data science has all but disappeared.

Methodology - Finding These Standout Denver-based AI Consulting Services

At Digital Reference, we’ve spent months evaluating and researching leading professionals who bring the best of AI and ML consulting to this region. These consultants, a mix of freelancers, firm leaders, and innovators, are shaping how industries approach automation, data strategy, and intelligent design.

Our methodology combines both qualitative and quantitative evaluation, including:

• Reviewing real-world project applications and outcomes
• Verifying feedback from engineering and industrial clients
• Evaluating professional contributions through speaking, research, and community engagement

Together, these professionals reflect Denver’s growing role as a national hub for applied AI in engineering.

🌟Meet Denver's AI & ML Consultants Making things Happen

🔶 Myrna James

Ethical AI (Artificial Intelligence) Consultant
🔗 LinkedIn

Myrna James is a respected thought leader in AI ethics, data transparency, and geospatial intelligence. Based in Denver, she brings more than two decades of expertise in helping data and engineering professionals apply AI responsibly, with a focus on long-term sustainability, clear communication, and human-centered design.

Her consulting work often bridges technical systems with ethical decision-making, ensuring that AI is used for social and operational good rather than unchecked automation. Myrna’s influence is especially strong in industries handling large-scale environmental or engineering data, where bias, data integrity, and interpretability are crucial.

Highlights:
🤖 Promotes responsible AI adoption for engineering and environmental data sectors.
💡 Advocates for transparency and ethics in AI governance.
⚙️ Provides strategic guidance for organizations adopting intelligent automation.
📊 Publishes and speaks globally on AI ethics and data innovation.

Myrna’s voice continues to shape how Denver engineers and decision-makers approach AI, not just as a tool for efficiency, but as a framework for intelligent, ethical progress.

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🔶 Aaron Opgenorth, MBA

Artificial Intelligence (AI) | AI Arborist | Business Creator at King Ltd
🔗 LinkedIn

Aaron Opgenorth is an AI strategist and business intelligence consultant known for his ability to translate machine learning into measurable business outcomes. With an MBA and a technical foundation in data systems, he bridges strategy and execution for organizations ready to modernize their engineering workflows through AI.

Aaron’s consulting work focuses on AI roadmap development, ensuring that organizations adopt scalable, practical systems that align with existing business structures.

Highlights:
🤖 Designs data-to-decision AI frameworks for mid-sized firms.
💡 Guides leadership teams through AI integration planning.
⚙️ Implements ML for cost optimization and process accuracy.
📊 Delivers hands-on strategy for practical AI transformation.

Aaron’s combination of analytical thinking and operational insight makes him a go-to consultant for Denver firms seeking to integrate intelligence into their core engineering functions.

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🔶 Kate Marshall

Founder, Fractional CAIO, AI Adoption Consultant and Co-Founder & CEO of TheGrai
🔗 LinkedIn

Kate Marshall is a standout leader in AI-driven data visualization, intelligent modeling, and applied analytics. She’s redefining how organizations leverage machine learning to make sense of complex data in engineering, sustainability, and design-oriented environments.

Her Denver-based firm specializes in interpretable AI, translating technical model outputs into visuals that decision-makers can understand and act on. Under Kate’s leadership, the GRAI has become known for combining machine learning precision with design thinking, ensuring that AI isn’t just accurate but accessible.

Kate has also been instrumental in helping teams integrate ethical AI practices into their analytics frameworks. Her work guides engineers, analysts, and creative technologists alike to use artificial intelligence responsibly, emphasizing transparency, usability, and long-term insight over hype or opacity.

Highlights:
🤖 Creates AI-powered visualization tools that simplify complex data.
💡 Promotes interpretability and transparency in AI design.
⚙️ Connects engineering insight with human-centered AI applications.
📊 Leads cross-industry collaborations advancing ethical innovation.

Kate’s work with The GRAI exemplifies the Denver approach to AI, one that values innovation grounded in clarity, ethics, and impact.

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🔶 Shawn Mills

AI Innovation Enabler, CEO, Partner and Chairman,  Pisteyo  
🔗 LinkedIn

Shawn Mills is a strategic AI implementation consultant whose work bridges business operations and advanced analytics. As Founder and Principal Consultant at Pisteyo, Shawn focuses on practical AI deployment — helping engineering, manufacturing, and industrial clients integrate intelligent systems that actually perform in real-world environments.

His expertise lies in building scalable AI frameworks that align with organizational goals, technical infrastructure, and human workflows. Rather than pushing abstract innovation, Shawn develops structured adoption pathways that bring measurable returns on investment.

At the heart of his practice is the belief that AI should enable better human judgment, not replace it. Through Pisteyo, he helps companies design frameworks where ethics, accountability, and performance coexist, an approach that has earned him recognition across Colorado’s industrial AI landscape.

Highlights:
🤖 Builds end-to-end AI adoption and transformation frameworks.
💡 Specializes in transparent, ethical AI implementation.
⚙️ Integrates ML solutions within existing engineering infrastructures.
📊 Focuses on measurable, outcome-driven deployment strategies.

Shawn represents the forward-thinking, results-oriented ethos of Denver’s AI consulting scene, where technology meets trust, and innovation serves the people behind the process.

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🔶 Andrew Tilley

Machine Learning, Data Science, Analytics Expert and Principal Data Scientist at Recentive Analytics
🔗 LinkedIn

Andrew Tilley is a leader in data strategy and analytics transformation. As Chief Data Officer, he focuses on converting raw data into predictive and prescriptive intelligence for engineering and infrastructure systems. His work often supports projects involving sustainability, construction efficiency, and large-scale environmental modeling.

Highlights:
🤖 Develops AI forecasting tools for infrastructure and environment.
💡 Leads sustainability analytics initiatives.
⚙️ Implements ML-based data governance systems.
📊 Guides enterprise firms through data modernization.

Andrew’s Denver-based consultancy work reinforces how data-driven leadership fuels responsible AI growth across the industrial sector.

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🔶 Trisha Black, MS

Founder & AI & Machine Learning Specialist at TrishaBlack.com
🔗 LinkedIn

Trisha Black, MS, is a leading AI strategist and data science consultant recognized for her ability to bridge technical precision with human insight. Through her independent consultancy, TrishaBlack.com, she helps engineering, analytics, and product-focused organizations design machine learning systems that are explainable, ethical, and high-performing.

Her work extends beyond implementation—Trisha focuses on how teams think about AI, developing responsible data strategies that empower rather than overwhelm. She has guided numerous companies through the process of operationalizing AI frameworks, ensuring that machine learning delivers measurable improvements in performance, quality, and scalability.

With her background in data science and behavioral modeling, Trisha’s consulting combines analytical depth with systems-level understanding, making her a trusted partner for engineering-driven innovation across Denver and beyond.

Highlights:
🤖 Designs ethical and interpretable AI strategies for organizations.
💡 Guides teams through full lifecycle AI adoption and data maturity.
⚙️ Builds ML systems focused on diagnostics and operational accuracy.
📊 Blends data science expertise with leadership development for AI readiness.

Trisha’s work exemplifies a rare balance of rigor and empathy, proving that the best AI systems are not just intelligent—they’re human-aware, transparent, and built for longevity.

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🔶 Zac Folk

Founder, CEO, Entrepreneur, AI Consultant Pisteyo
🔗 LinkedIn

Zac Folk is a multidisciplinary leader in AI strategy, business transformation, and systems innovation. As founder at both Mercy Mercantile and Pisteyo, Zac’s work centers on helping organizations translate data intelligence into operational excellence.

He combines extensive leadership experience with deep curiosity about how machine learning and automation reshape decision-making. At Pisteyo, Zac plays a key role in connecting AI implementation with human-centered change management, ensuring that each system delivers measurable value across technical and executive levels.

Through Mercy Mercantile, Zac brings a strategic growth and organizational design perspective to the AI conversation—aligning technology adoption with business vision. His background enables him to bridge the worlds of data, finance, and engineering to create long-term, adaptive success.

Highlights:
🤖 Aligns AI transformation with organizational strategy.
💡 Connects machine learning outcomes to leadership and growth.
⚙️ Integrates ethical AI principles into business operations.
📊 Guides companies through intelligent system adoption with clarity and purpose.

Zac Folk’s leadership across both firms illustrates how Denver’s AI consulting landscape thrives at the intersection of business intelligence, ethics, and engineering performance—making innovation both scalable and sustainable.

Denver’s AI Momentum and Why It Matters

The Denver-Aurora-Lakewood region is rapidly becoming a national hub for AI and ML engineering innovation. Its consultants and engineers are driving real-world solutions that enhance everything from structural safety and resource management to digital infrastructure and sustainability.

At Digital Reference, we help connect businesses with the most trusted professionals in AI, data science, and digital strategy. Our curated publications highlight verified consultants and thought leaders across industries and regions, helping decision-makers identify the right expertise for transformative growth.

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From AI and automation to analytics and engineering strategy, we empower companies to adopt the right technology and the right people with confidence.