Applied AI
Task-specific models and agent systems built around real workflows.
Connecticut · Applied AI Lab
Build intelligence around the way your business actually works.
We train custom AI models and engineer the harnesses that put them to work for small and midsize businesses—from research through implementation.
A model system moving from business knowledge to deployment
LAB / SYSTEM 01 Online
Business knowledge→Model layer→Operator harness
The company, in three parts
R&D Laboratory
Training, evaluation, and hardening under real operating conditions.
Enterprise Implementation
Integration, deployment, and support across existing tools and teams.
The work
Most businesses do not need another chatbot.
They need intelligence embedded in the work.
Off-the-shelf AI knows the internet. Useful AI knows your business: how a job moves, where judgment matters, and what good work looks like.
We build that layer with you—custom models where they matter, disciplined harnesses everywhere else, and implementation that reaches production.
Where we start
Bring us a hard workflow.
We start with consequential, repeatable work—not a technology shopping list.
KNW01 / 04
Company knowledge
Turn scattered operational knowledge into a system your team can query and use.
Grounded retrievalDOC02 / 04
Document work
Read, classify, extract, validate, and route the documents that slow people down.
Structured processingOPS03 / 04
Operational agents
Move work across tools while keeping people in control of the important decisions.
Tool-using harnessesDEC04 / 04
Decision support
Bring the right evidence forward, test outputs, and improve the system over time.
Evaluation loopsResearch to production
The lab is part of the implementation.
Every deployment is an R&D program with an operating target. We study the work, test the system against reality, and stay close enough to improve it.
Observe
Map the real workflow, the decisions inside it, and the knowledge your team already uses.
Train
Adapt models to your language, data, tasks, and operating constraints.
Harness
Give the model tools, context, evaluations, and human checkpoints that make it useful.
Operate
Integrate the system with the software and teams that already run the business.
CAIC / DEPLOYMENT PROTOCOLCONTINUOUS EVALUATION
41.6032° N
Built in Connecticut
Local enough to learn the work. Ambitious enough to rebuild it.
We are building an applied AI institution for the companies that make, move, design, service, and operate the real economy—starting here.
Join the laboratory
Build here.
Learn here.
We are hiring engineers and funding the education that makes them better.
The strongest labs are schools. We want curious builders who study deeply, work close to customers, and turn research into reliable systems.
Introduce yourself Education support is role- and program-dependent; details are discussed during the hiring process.A working system starts with the work