Work
Built by
our team.
AI workflows, integrations, product systems, custom software and the architecture behind them — designed, built and demoed by Lid Vizion engineers.
01 · Agent workflow
AI Form Reviewer
An agent that reads a submitted form, checks it against the rules, and prepares a review for a person to approve — built around a real-estate document flow.
02 · Document AI
Document Intelligence
Structured data from real documents, with a review screen for the fields that need a human check.
03 · Workflow automation
Agents & automation
Lead intake, CRM updates, alerts and scheduling handled by bounded agents, with a person in the loop.
04 · Computer vision
MediaPose
Pose estimation that counts reps, scores form and tracks athletes in video — squats, baseball throws and more.
05 · Computer vision
Vision analytics
Detection models that turn camera feeds into operational signals — which spaces are occupied, what is present, and what changed.
06 · Systems design
Production AI architecture
How the pieces fit: ingestion, models, review queues and monitoring, drawn for the teams that run them.
07 · Historical work
Where it started: applied vision
Early Lid Vizion work on recycling contamination detection — the foundation for how we build today.
Public references for this historical work
These are demos and working builds from our own projects, shown as recorded. They illustrate capability, not results for a specific customer.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Work: AI, Product & Technology Systems"
description: "AI workflows, integrations, product systems, custom software and production architecture designed and built by the Lid Vizion team."
url: https://lidvizion.ai/work/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
Work
# Built by our team.
AI workflows, integrations, product systems, custom software and the architecture behind them — designed, built and demoed by Lid Vizion engineers.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [How we develop talent](https://lidvizion.ai/talent/)
01 · Agent workflow
## AI Form Reviewer
An agent that reads a submitted form, checks it against the rules, and prepares a review for a person to approve — built around a real-estate document flow.
[Automate the repeatable](https://lidvizion.ai/services/automation/) [Build the missing piece](https://lidvizion.ai/services/custom-software/)
02 · Document AI
## Document Intelligence
Structured data from real documents, with a review screen for the fields that need a human check.
[Connect your tools](https://lidvizion.ai/services/integrations/) [Build the missing piece](https://lidvizion.ai/services/custom-software/)
**Synthetic training data** Illustration of synthetic degradation, occlusion and ink artifacts applied to map documents to build training data
03 · Workflow automation
## Agents & automation
Lead intake, CRM updates, alerts and scheduling handled by bounded agents, with a person in the loop.
[Automate the repeatable](https://lidvizion.ai/services/automation/)
04 · Computer vision
## MediaPose
Pose estimation that counts reps, scores form and tracks athletes in video — squats, baseball throws and more.
[Build the missing piece](https://lidvizion.ai/services/custom-software/)
05 · Computer vision
## Vision analytics
Detection models that turn camera feeds into operational signals — which spaces are occupied, what is present, and what changed.
[Build the missing piece](https://lidvizion.ai/services/custom-software/)
**Parking occupancy detection** Aerial view of a parking lot with each space labelled car or free and a confidence score
06 · Systems design
## Production AI architecture
How the pieces fit: ingestion, models, review queues and monitoring, drawn for the teams that run them.
[Build the missing piece](https://lidvizion.ai/services/custom-software/)
07 · Historical work
## Where it started: applied vision
Early Lid Vizion work on recycling contamination detection — the foundation for how we build today.
Public references for this historical work
- [University of Miami IDSC](https://idsc.miami.edu/magazine/ai-recycling-project-aims-to-reduce-contamination-at-the-source/): External University coverage of the AI recycling project and Lid Vizion’s involvement.
- [REMADE Institute](https://remadeinstitute.org/remade-projects/identification-of-mixed-plastics-and-valuable-electronics-at-the-source/): External Program page listing Lid Vizion, LLC and the University of Miami among project members.
- [Roboflow Universe](https://universe.roboflow.com/lid-vizion/recycling-materials-detection-fklrl/model/4): External Public recycling-materials detection model artifact under the Lid Vizion workspace.
These are demos and working builds from our own projects, shown as recorded. They illustrate capability, not results for a specific customer.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)