We build custom software and AI infrastructure for organizations that are serious about changing how their operations actually run.
Enterprise, federal government, defense, and nonprofit teams hire us when the off-the-shelf answer stopped fitting the work.
We build the AI infrastructure that absorbs the copying, checking, and shuttling between apps — so the people we work with can spend their hours on the parts of the job only a person can do.
Efficient by design, honest about its footprint, and built to a standard the next engineer, the next auditor, and the next generation can live with.
A collection of highly experienced engineers who specialize in custom solutions for enterprise and government — and who would rather build one thing well than ten things quickly.
Custom software built to fit the way a team actually works.
AI that fits inside real operations, not demos that look good in a slide.
Infrastructure that runs quietly and holds up under audit.
New tools, evaluated honestly before they touch production.
We stay small on purpose. Every engagement is staffed by senior engineers who own the work end-to-end — because that's the only structure that produces software worth keeping.
The people who scope your work are the people who build it and the people who answer the phone when something breaks. No handoffs to a delivery org you've never met.
If a project shouldn't be built the way it's being described, we say so. Losing a project is acceptable. Shipping something indefensible is not.
Decades of combined experience across enterprise, federal, and defense work — organized as a team that stays close to every engagement instead of scaling headcount for its own sake.
Patent holder, UC Davis CS graduate, and Fortune 500 AI strategist. Greg leads BrightApps' strategic direction and AI innovation.
Plans and directs administrative, financial, and operational activities. Certified Scrum Master and Project Management Professional.
25+ years in application and system architecture across Fortune 500 and Bay Area startups. Leads ML, LLM, and distributed systems strategy.
Leads client engagement and strategic partnership development across enterprise, government, and defense sectors.
Strategic liaison between engineering, operations, and business development. MIT No-Code AI/ML certified change agent.
Leads the BrightArc framework and its use cases across BrightShields drones and Bright360 — combining mechanical engineering, AI, and data science.
Ph.D. researcher specializing in privacy-preserving machine learning, federated learning, and SWARM intelligence.
AWS Cloud Engineer and DevOps Specialist. USAF veteran and 2024 Customer Champion Award recipient. AWS Certified Solutions Architect.
Backend Python engineer for LLM and NLP applications. Network Lead for Women Who Code, San Francisco.
Java, Python, and AWS engineer for the talent acquisition and management industry. AWS Solutions Architect — Associate.
Full-stack engineer and patent holder. Deep experience in blockchain, DeFi, AI, and disruptive technologies across enterprise and government.
Senior full-stack engineer and Scrum Master. Leads Agile innovation across AI, blockchain, and machine learning engagements. US Patent #10,547,493.
Lead Software Engineer for ML solutions. Spans embedded microprocessors to large-scale server clusters, with a specialty in high-performance vector matching.
Ph.D. physicist and Senior Data Scientist. 15+ years across R&D. Builds LLM pipelines, deep learning models, and computer-vision systems.
20+ years of DevOps and Systems Administration. AWS infrastructure, Terraform, Ansible, and hardened open-source tooling.
15+ years in data science, machine learning, and computer vision. Creator of Emgu CV and Emgu TF (1M+ downloads/year).
Integrates NLP and AI into custom software that scales to thousands of daily requests.
Engineers high-performance backend systems on Java 17 and Spring Boot, with a focus on long-term maintainability.
Our work is covered by confidentiality agreements, so we don't publish client names. Here is what we can tell you. We have built for large companies, federal agencies, defense organizations, and industries that get audited closely. The results we care about are simple ones: hours of manual work that no longer have to happen, and fewer ways for something important to quietly go wrong. And we handle information the way organizations whose own customers demand it need us to.
Discovery calls are the starting point. Tell us about your organization and we'll tell you whether we're the right fit.
