Engineering-Led AI Consulting That Actually Delivers

Stop burning money stuck in pilot purgatory. Our AI engineers will plug into your team, scope right, and ship production-ready ML features fast.

Most “AI consultants” sell slides, not solutions.

Our team consists of seasoned AI engineers & principal data scientists who actually execute, debug, integrate, and deliver AI.

With 30+ years of hands-on experience, we’ve rescued failed pilots across healthcare, insurance, SaaS, and more, proving that engineering-led consulting is the only way out of pilot purgatory.

Get Your AI Rescue Roadmap

We don’t just talk about outcomes. We’ve delivered them.

**AI-Driven Video Summarizer**

We trained NLP and computer vision models to **automatically segment and summarize long-form video content**, extracting semantically meaningful highlights without manual tagging. The result: faster, more accurate access to key video moments, saving users significant time in review and retrieval.

**Patient Arrivals Forecaster**

We engineered time-series forecasting models that combine census data, historical arrivals, and flu trends to **predict patient volume up to five days in advance.** Hospitals used these forecasts to improve staffing and resource allocation, reducing costly overtime and patient bottlenecks.

**AI-Assisted Surgery Workflow**

We built real-time deep learning models that detect and label anatomical structures in surgical footage, optimized for accuracy and low latency in the OR. **This system reduced surgical risk and gave clinicians greater confidence** in high-stakes decision making.

How Xyonix Helps You Escape AI Pilot Purgatory

        1. Engineering-led.
    
        Your project is built and shipped by senior AI engineers who embed with your team, fixing pipelines, plugging in models, and making sure they run in your environment.

        2. Visible, tangible wins.
    
        We scope small, high-impact features or model experiments so you see tangible improvement quickly (in data signals, feature function, prototype value, etc) before you commit to full scale.

        3. Governance-ready.
    
        Our design includes explainability, audit readiness, and safe guardrails so your AI system earns trust from execs, risk teams, and regulators.

TRUSTED BY TEAMS AT…

“I don’t think a five out of five really encapsulates the work that they do. The work is top-notch. It’s what we ask for and more. They go the extra mile in terms of letting us know that whatever we need, they’re there for us to lend their expertise, to be in a meeting if they need to, to explain the project in more detail. It’s really going above and beyond. ”

— Dominique Grinnell, Sr. Product Team Manager @ Delta Dental of Washington

Ready to Talk to an AI Expert?

See How Our Partnership Works

With Xyonix, you're not just adopting AI; you're gaining partners who have built and scaled multiple venture backed AI companies of our own. We bring this real-world, hands-on experience to you, optimizing our services to help you realize your dreams of a highly innovative, scalable project with AI at its core.

Custom AI Solutions We Build With You

PATHFINDER
Fast discovery to quickly understand your business and data, and shape an actionable, robust AI strategy together.

ADVISORY SERVICE
Strategic guidance available on-demand. Quickly tap into deep AI expertise to pressure-test ideas, shape investor narratives, and stay up-to-date on best practices.

DATASET ANALYSIS
We work with you to formulate a dataset ripe for machine learning; helping you demonstrate visible opportunities to customers, partners, and investors.

MODEL DEVELOPMENT
We analyze your datasets to find signal, then rapidly design and iterate on models that deliver measurable value.

MODEL MANAGEMENT
We host and manage your live models in a secure AI cloud environment using our Mayetrix platform; handling deployment, uptime, and iteration.

TEAM BUILDING
We’ll help you hire a world class data science team, filtering for real skill and ensuring only the best of the best get through.

How Does It Work?

For a fixed monthly fee, you get everything you need so there are no surprise costs. We partner closely with your team, meeting twice a month for in‑depth progress reviews, and stay in constant touch via a dedicated Slack channel.

Plus, we make the transition effortless: you retain full IP ownership, and when your internal team is ready, we’ll support a clean handoff. Our platform is Apache 2.0 licensed for maximum flexibility and transparency. By tapping into our turnkey process and world‑class talent, you’ll achieve top‑tier results at a fraction of the cost of building an in‑house team.

Curious what we could build together?

fix my pilot

Check out our popular articles:

blog

You Suck at Using LLMs (3 Tips to Master Prompt Engineering)

Stop blaming AI for bad output. In this article we break down the exact meta-prompting techniques and frameworks that transform any LLM from a disappointment into a reliable thinking partner that actually understands exactly what you want. Discover why the best prompts start with questions, not commands, plus get copy-and-paste prompt starters that force AI out of its natural people-pleasing mode to challenge your assumptions and push your ideas further than you'd reach alone.

Preventing Pickleball Injuries with AI Body Pose Analysis

Pickleball’s popularity is skyrocketing, and the subsequent ER visits have spiked a staggering 88% right alongside it. What if a quick courtside video could flag risky knee angles before they sideline you? Explore how AI body pose analysis AI can turns your phone into a personal coach, cutting injury risk and fast-tracking rehab so you can stay in the game.

Generative AI Reality Check: How Custom AI Solutions Drive Real Product Innovation

The generative AI gold rush has companies racing to implement the technology, yet Gartner predicts 30% of projects will be abandoned by 2025. The difference between the winners and the $21-million-per-month failures? Knowing when generative AI is the wrong tool entirely. This reality check reveals which use cases actually work, the brutal production costs most demos ignore, and why the smartest companies are shifting strategy. Don't become another expensive cautionary tale, learn how to separate the hype from what actually delivers results.

Build vs. Buy: The Smart CTO's Guide to Launching AI Features Fast

Pressed for an AI demo yet still hunting for talent? In this article we tackle the CTO’s eternal quandary: build an in‑house AI team or embed external experts. Get the reality check on hiring timelines, hidden costs, and why a hybrid “accelerate now, own later” model is winning. Skim the quick‑fire decision framework before your competitors ship first.

Why Most AI Projects Fail (And How to Actually Launch Something That Works)

Up to 80% of AI projects fail, but not for the reason you think. It’s not the models. It’s not the tools. It’s what happens before and after the code that kills most AI initiatives. But a few companies are turning this around with a smarter, faster, more scalable approach that makes AI initiatives succeed. This article breaks down what they’re doing differently.

What do our customers say?

testimonials

“Xyonix is not some local ML leader — they’re global gurus with the technical and strategic skills to transform your business. Xyonix helped me think differently.”

Henry Albrecht, CEO @ Limeade, Inc. [more]

“Xyonix helped us take our technology and product to the next level. What the team was able to accomplish in just a few months was extremely impressive.”

—Werner Koepf, CTO @ Conversica, Inc., PhD [more]

“Xyonix proved instrumental in helping us formulate our AI and machine learning strategy. They asked great questions and provided deep analysis which helped us better understand our customers, business and data.”

— Ian Kalin, CTO @ eHealth, Inc. [more]

“Xyonix has proven to be an instrumental partner to C-SATS providing valuable insights, technologies and capabilities to complement our internal machine learning and AI team. They are equally skilled in strategizing and designing world-class ML and AI solutions, as they are in executing on those plans.”