Agentic AI That Works Within Your Regulatory Reality
Infineray helps compliance-driven organizations design, deploy, and govern AI agent workflows, without compromising auditability, accuracy, or regulatory standing.
End-to-End Agentic Workflow Services
From regulatory strategy to production deployment, we bring deep domain expertise and technical rigor to every engagement.
Regulatory AI Workflows
Design and deploy AI agent workflows that operate within strict regulatory frameworks: FDA, FINRA, HIPAA, and beyond. We map compliance constraints directly into agent decision logic.
Compliance Automation
Automate audit trails, reporting pipelines, and evidence gathering using agentic architectures. Cut compliance overhead by up to 70% without sacrificing accuracy or defensibility.
Agentic Process Design
Architect multi-agent systems for complex back-office operations. From intake routing to exception handling, we build agents that collaborate reliably in production environments.
Risk Intelligence
Integrate real-time risk signals into your operational workflows. Our systems surface emerging compliance risks before they become enforcement actions.
Digital Transformation
Guide your organization through the cultural and technical transition to AI-augmented operations, with governance frameworks your leadership team can stand behind.
Workflow Analytics
Build observability layers across your agentic workflows. Understand bottlenecks, measure outcomes, and demonstrate ROI to stakeholders with clear operational metrics.
Real Results in Regulated Environments
From AI-assisted localization to forging-line vision and aerospace knowledge systems, see how we've delivered measurable impact.
Turning Forging Video Into Burn-Off Timing Data
Used a lightweight vision-language model to pinpoint the exact moment burn-off and vaporization begin in metal forging videos, converting archive footage into a measurable process signal.
Operational Cookbooks from Tribal Knowledge
A major propulsion OEM transformed decades of fragmented maintenance and operator knowledge into a living cookbook system that gets smarter with every repair cycle.
Products Built by Infineray
Alongside our consulting work, we build and ship our own products.
SayTheText
AI powered text to speech and speech to text
SayTheText converts written material into natural sounding audio for hands free listening, and transcribes spoken audio back into text.
- Upload or paste documents (including PDFs) to turn text into audiobooks
- Human-like AI voices with natural inflection and pacing
EZLang
Learn any language fast
A language learning app focused on getting you speaking a new language quickly, with practical, focused lessons instead of long, drawn out courses.
- Practical lessons built around real conversations
- Designed to get you speaking fast, not just memorizing rules
Course Forge
Turn a topic into a full online course
An open source pipeline that transforms a single topic into a complete, illustrated online course, storyboarding, drafting, authoring, illustrating, and QA.
- Automated storyboard, draft, author, illustrate, and QA pipeline
- Outputs self-contained HTML, no database required
Practitioners, Not Just Consultants
Our team combines regulatory expertise, industry experience, and deep technical knowledge across agentic AI architectures.
Ph.D. in Bioengineering from Clemson University with a specialization in Robotic Assisted Surgery. Medtronic R&D veteran with 10+ years in the medical device industry, bringing deep regulatory and technical expertise to agentic workflow design in life sciences.
DRM Engineering Program Manager (6σ, DFSS) from Medtronic R&D and PhD Candidate in Spine Biomechanics. Drives R&D optimization through agentic AI automation, custom GPTs, and AI adoption programs.
Thinking at the Frontier of Regulated AI
Perspectives on agentic AI, compliance architecture, and what it takes to build AI systems that regulators trust.
Vector Databases vs. Graph RAG for Agent Memory: When to Use Which
Everyone reaches for a vector database by default. Most agents do not actually need one; they need to remember how things connect. Here is how I decide between vector search and graph RAG, and when I just use both.
From Autocomplete to Assistant: How LLMs Are Trained (and Why They Still Get Things Wrong)
A raw transformer is a brilliant parrot, not an assistant. Turning one into something helpful takes three distinct stages, and understanding them tells you exactly why these models still confidently make things up.
The Transformer, Explained Without the Math
The transformer is the architecture behind every modern AI you've heard of. You can understand how it works without a single equation. It comes down to three moves: chop, place, and look.
Pick a Time That Works for You
Skip back-and-forth emails and reserve a focused 30-minute strategy call directly on our calendar.