We build AI products for work that has to be right
Infineray ships its own software and advises compliance-driven organizations on agentic AI. Same team, same standard of evidence.
Feedback in. Build-ready specs out.
Your roadmap should not be decided by whoever complained loudest last sprint. SpeqForge reads your raw customer feedback, filters the noise, and returns prioritized feature specs backed by real evidence.
- Any source. Support tickets, app store reviews, interview notes, NPS comments, Slack threads, PDFs, even audio recordings.
- Complete specs. Every result carries a problem statement, user stories, Given/When/Then acceptance criteria, effort sizing, and verbatim customer quotes.
- Ranked against your goals. Paste in your OKRs and SpeqForge re-prioritizes the backlog to match them, explaining each call.
- Connected to your stack. Pull live from Zendesk, Intercom, HubSpot, Slack, Notion, Typeform, and Canny, or POST feedback in by webhook.
The Rest of the Line
SpeqForge is the newest. It is not the only one. Everything here is built and run by the same team.
SayTheText
AI powered text to speech and speech to text
Converts written material, including PDFs, into natural sounding audio for hands free listening, and transcribes spoken audio back into text.
- Turn documents into audiobooks in a few clicks
- Accessibility support for dyslexic and visually impaired readers
EZLang
Learn any language fast
A language learning app built around getting you speaking quickly, with practical, focused lessons instead of long, drawn out courses.
- Lessons built around real conversations
- Designed for speaking, not memorizing rules
Nookdin
Details coming soon
Another product in the Infineray line. Full details will be published here shortly.
Visit nookdin.com ↗Course Forge
Turn a topic into a full online course
An open source pipeline that takes a single topic through storyboarding, drafting, authoring, illustration, and QA into a complete online course.
- Outputs self-contained HTML, no database required
- MIT licensed and free to run yourself
The Practice Behind the Products
We learned to ship AI that holds up by doing it where the stakes are highest: inside regulated organizations, under audit. That work continues, and it is available to you.
Regulatory AI Workflows
Design and deploy AI agent workflows that operate inside 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 with agentic architectures, cutting compliance overhead without sacrificing accuracy or defensibility.
Agentic Process Design
Architect multi-agent systems for complex back-office operations, from intake routing to exception handling, with the observability and governance your leadership can stand behind.
Real Results in Regulated Environments
From AI-assisted localization to forging-line vision and aerospace knowledge systems, see how we have 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.
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 Applied AI
Perspectives on agentic AI, compliance architecture, and what it takes to build AI systems people can actually 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.