Distillist

Distill signal from noise.

We extract actionable intelligence from your data using AI-driven engineering — leveraging AI to build the AI systems that matter to your business.

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What we do

Deep technical consulting at the intersection of data science, ML engineering, and modern software practice.

  • AI & ML Engineering

    Design, build, and deploy production machine learning systems — from model selection and training pipelines to inference infrastructure and monitoring. We bring the engineering rigor that turns experiments into reliable services.

  • Data Intelligence

    Transform raw data into decisions. We build the pipelines, analytics, and ML models that surface the insights your organization needs, then make those insights accessible to the people and systems that act on them.

  • AI-Assisted Engineering

    Accelerate your development practice with AI. We help teams adopt AI-powered tooling, establish effective human-AI collaboration patterns, and build internal platforms that multiply engineering output.

Founded on deep experience

Distillist is led by Mike Lanzetta, a Principal Data Scientist at Microsoft with over 20 years of experience across machine learning, deep learning, and distributed systems. His career spans domains from demand forecasting at Amazon to ML at Bing to building intelligent services on Azure.

As Data Science Discipline Lead for North Asia at Microsoft, Mike has developed expertise in applying AI and ML at scale across diverse industries and organizational contexts. He writes about AI, ML, and AI-assisted engineering on Substack.

Let's work together

Whether you're building your first ML system or scaling an existing one, we can help you move faster and build smarter.

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