We don't just build AI.
We measure whether it works.
JetWolfe Labs partners with enterprise teams to design, build, and rigorously evaluate AI systems — from predictive models and LLM agents to full-scale data strategy. No black boxes. No hand-waving. Just AI that delivers.
AI That Ships — and Proves It
AI Strategy & Data Readiness
Most AI initiatives fail before a single model is trained. We run rigorous data readiness assessments, stakeholder interviews, and capability mapping to build the strategic foundation your AI program needs. You get a clear roadmap, not a slide deck full of buzzwords.
Production AI & Agent Development
From churn prediction models to autonomous LLM agents, we build AI systems designed for production — not just demos. Our agents run in real pipelines, analyze real data, and deliver outputs through real channels your teams already use.
Evaluation & Measurement
The part everyone else skips. We design evaluation frameworks — causal inference, A/B testing, custom evals — to prove your AI is actually working. If it's not, we tell you that too. Measurement isn't an afterthought; it's the whole point.
Assess. Build. Measure.
Assess
We start with your data, your team, and your actual business problems — not a generic 'AI maturity model.' Stakeholder interviews, data audits, and a brutally honest capability assessment give us the ground truth we need to build something that matters.
Build
Rapid, iterative development of models, agents, and data pipelines. We work in your stack, with your data, embedded with your team. No six-month scoping exercises. Working prototypes in weeks.
Measure
Every system gets an evaluation framework from day one. Causal inference. Controlled experiments. Custom metrics tied to business outcomes — not vanity KPIs. If the model isn't driving value, we pivot. If it is, we prove it to your leadership.
The Proof Is in the Pipeline
Designed, deployed, and evaluated autonomous LLM agents across e-commerce and manufacturing — each with custom evaluation frameworks ensuring measurable output quality before going live.
Architecting and delivering three concurrent ML products — customer churn prediction, protein engineering, and formulation optimization — while leading a global manufacturer's Data + AI transformation.
Built and shipped predictive models with rigorous causal inference evaluation — propensity score matching, difference-in-differences, SHAP explainability — ensuring leadership trusts the outputs.
Built by an Operator, Not an Observer
JetWolfe Labs was founded by Alex Nelson — a data scientist with nearly a decade of experience building AI systems at companies like Grammarly, Zillow, and TikTok. Before pivoting to data science, Alex studied political science and communications, which turns out to be a superpower when you need to explain to a CEO why the model says what it says.
Alex has led enterprise AI transformations from the inside, built production LLM agents, designed causal inference pipelines, and delivered AI strategy to C-suite leadership. JetWolfe Labs exists because most AI consulting is either too theoretical (the big firms) or too narrow (the freelancers). We sit in the middle: strategic enough to set the vision, technical enough to ship the code.
Based in Seattle. Named after two very good Huskies.
Ready to Build AI That Actually Works?
Let's talk about your data, your team, and what AI can actually do for your business. No pitch decks. Just a conversation.
contact@jetwolfelabs.com