Treat people like they matter.
They'll build things that matter.

A seasoned CEO & Founder who finds the client's North Star and positions the engineers best to reach it.

He spent three years embedded at Ampere Computing, the semiconductor company building Arm processors for hyperscale cloud and AI, where he learned how engineering organizations evaluate and buy. He has since bootstrapped Team Nebula to serve regulated enterprises and state agencies, and runs the company on the same platform his engineers deploy for clients.

An enterprise operator who knows that moving technology forward is a people game.

Abraham's background is in IT infrastructure, built across multiple tech startups and seven years at AT&T running technology implementations on the Intel and Nike accounts. That taught him what it really takes to move a client project forward: it's a people game, and moving the ship means moving the people, not just the systems. He runs technical delivery for every engagement.

Anthropic Claude Ambassador for Austin, TX, and a hacker at heart.

I've always taken things apart to see how they work. That's still how I build: a system is only as good as what it lets a human do that they couldn't do alone. I don't build AI to replace people, I build it to make them dangerous, with leverage real enough to change what a company is worth. Over a decade of production systems across fintech, energy, and AI, including Team Nebula's client platforms on AWS Bedrock and Claude, has taught me the same lesson every time.

Research-grade ML, shipped into production.

A research-grade ML engineer who also ships. Has built RAG systems over 1,000-page technical corpora, deployed LLM tool-calling pipelines on AWS Bedrock, and engineered anomaly-detection models with SHAP explainability. Forward-deployed into enterprise and government operations, building secure agentic systems on the client's own data layer: tuned, evaled, and accountable in production.

A Portland full-stack engineer who embeds with clients and ships AI into live operations.

Jacob leads our forward-deployed engineering, embedded with enterprise clients to build and deploy AI systems directly into their operations. He is a full-stack engineer across React, Node, Rails, and Python, and an AWS-certified cloud practitioner. His work spans engagements from a regulated-utility observability platform to Rivus's Carlos lead-to-close system, and his Spanish supports client work across the US and Mexico.

She builds the client-facing AI that goes into production, end to end.

Maira is a data scientist by training, with a computer science degree from the National University of Computer and Emerging Sciences and a foundation in statistics, machine learning, and model evaluation. That grounding shows in how she builds client-facing AI: she starts from the data, holds models to measured accuracy, and owns the work end to end, from the pipeline through the API to the interface. She ships fast; several of the internal tools she has designed and deployed have gone on to run in production for others.