Senior AI leadership. Your data stays home.
P42 is a fractional AI advisory firm serving small and midsize organizations with high-stakes data. We advise on AI strategy and build bespoke systems that run entirely within your own environment — document intelligence for legal teams, retrieval-augmented applications, decision-support dashboards, and rigorous model benchmarking — and we train organizations and teams to become AI ready. Backed by twenty years of applied research and evaluation, ten of them in AI, with systems in statewide production use and trainings delivered internationally.
brian@parallel42.ai →Fractional AI works the way fractional HR or a fractional CFO does. Organizations that cannot justify a full-time senior hire retain that expertise part-time: a defined relationship, senior-level judgment, a fraction of the cost. P42 provides fractional AI leadership — strategy, hands-on development, evaluation, and training — embedded in your organization and accountable to you, not to a software vendor.
Brian Perron brings twenty years of applied research and evaluation, including ten years building and evaluating AI and machine learning systems. His benchmarking studies of AI models are published and peer-reviewed. Bespoke systems he designed run in statewide production, handling sensitive administrative data every day. He has delivered AI training to professional audiences nationally and internationally, and maintains an active expert witness practice supporting document review across large collections.
Organizing, managing, and surfacing key information from large document collections within a highly secured environment. For legal review teams and litigation support where confidentiality is absolute. Brian Perron provides consultation and instruction in the AI Law and Policy Clinic at the University of Michigan Law School.
AI deployed entirely on infrastructure you control. No cloud processing of any kind. Data privacy is the design constraint, not an afterthought. P42 builds complete local AI environments from the ground up — including the Data Lab's secure infrastructure for analyzing sensitive administrative records — and equips them with purpose-built tools: Parse Vault, a secure document-intelligence system, and a fine-tuned redaction model for protecting sensitive information before it moves anywhere.
Bespoke retrieval-augmented generation systems and web-based applications, including decision-support dashboards, built for your actual workflows — the same practice behind the Data Lab's statewide decision-support systems.
Rigorous, research-grade evaluation of which models can actually do your job — especially under local and private constraints.
Workshops and team upskilling tailored to your organization — preparing teams and leadership to adopt AI with judgment, drawing on extensive experience delivering AI training to professional audiences.
Real decision-support systems in production use at the state level, handling sensitive administrative data.
References available upon request.
A firm built on data privacy does not put client names on a website.