Technology should
fit the work.

---
title: "About Lid Vizion"
description: "Practical AI implementation, connected workflows, and custom software."
url: https://lidvizion.ai/company/meet-the-team/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

About Lid Vizion

# Technology should fit the work.

We help teams configure AI, connect their systems, automate recurring tasks, and build custom software where it is needed.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Our approach](https://lidvizion.ai/approach/)

Team

## Meet the people behind the work.

- [**Ameya Kashid**Head of AI](https://lidvizion.ai/team/ameya-kashid/) ·
- [**Lamar Giggetts**CTO](https://lidvizion.ai/team/lamar-giggetts/) ·
- [**Shawn Wilborne**Co-Founder and AI Builder](https://lidvizion.ai/team/shawn-wilborne/) ·

Configure. Connect. Automate. Build what’s missing.

Most teams do not need more AI. They need the AI they already pay for to fit the way work actually moves: the right context, the right access, and a person in charge of the decisions that matter.

What we believe

## Three principles.

### Workflow first

We start with the job, not the tool.

### People in control

Approval points and stop rules come before autonomy.

### Build with a reason

Custom software answers a real gap, not a default.

How we engage

## One workflow at a time.

Small enough to measure. Useful enough to matter.

1. **Working session**
   We walk through one workflow together: the trigger, the tools, the handoffs, and where it gets stuck.
2. **Scoped first step**
   A written plan for the smallest useful implementation, its boundaries, and how we will measure it.
3. **Implement**
   Configure, connect, automate, or build — in that order of preference — with approval points in place.
4. **Measure and decide**
   Compare against the baseline, review exceptions, hand over, and decide what is worth doing next.

What we won’t do

## Clear boundaries build trust.

- Replace your platforms by default.
- Build custom software without a reason.
- Let a workflow act on sensitive decisions without an owner.
- Post or publish on your behalf without approval.
- Promise results before measuring a baseline.

Where we come from

## Applied AI, before it was easy.

Lid Vizion’s background is in applied AI systems and software delivery: getting new technology to work on real inputs, inside real operations. That work taught us to start with the process, define what a good result means, and keep people involved where judgement matters.

Our current work is broader than computer vision. Today the tools are far more capable and far easier to reach, while the discipline remains the same.

Independent references

## Applied AI work, documented by others.

Before today’s generative-AI wave, Lid Vizion was already working on applied AI systems. These third-party sources document that lineage; they are not testimonials for our current fractional services.

- [University of Miami IDSC](https://idsc.miami.edu/magazine/ai-recycling-project-aims-to-reduce-contamination-at-the-source/): University research Independent university coverage documented Lid Vizion as a collaborator and funder on applied AI research. Open source
- [REMADE Institute](https://remadeinstitute.org/remade-projects/identification-of-mixed-plastics-and-valuable-electronics-at-the-source/): Funded R&D program REMADE lists Lid Vizion, LLC and the University of Miami as project members in its circular-economy R&D program. Open source
- [Recycling Today](https://www.recyclingtoday.com/news/remade-institute-funds-24-projects-43-million-investment/): Industry coverage Established industry coverage included the University of Miami and Lid Vizion project in REMADE’s funded-project portfolio. Open source
- [Axios Tampa Bay](https://www.axios.com/local/tampa-bay/2021/12/15/polk-county-considering-ai-backed-recycling): News coverage Axios reported on Polk County considering Lid Vizion’s AI-backed recycling approach. Open source

These references support our historical technical lineage and entity credibility. They should not be read as claims that the organizations endorse Lid Vizion’s current services.

For entity verification, see the [Florida Division of Corporations record for LID VIZION, LLC](https://search.sunbiz.org/Inquiry/CorporationSearch/SearchResultDetail?aggregateId=forl-m22000001076-8c701aab-da5f-4f18-8d40-33654818d4e3&directionType=CurrentList&inquirytype=EntityName&listNameOrder=LIDTRANSPORT+P170000325240&searchNameOrder=LIDVIZION+M220000010760&searchTerm=LIDO+PARADISO+LLC).

What we do

## Four services, one sequence.

[All services](https://lidvizion.ai/services/)

1. **[Configure your AI](https://lidvizion.ai/services/ai-setup/)**
   Turn individual AI use into a repeatable way of working.
2. **[Connect your tools](https://lidvizion.ai/services/integrations/)**
   Put the right context within reach of the workflow.
3. **[Automate the repeatable](https://lidvizion.ai/services/automation/)**
   Give recurring work an owner, a trigger, and a stop rule.
4. **[Build the missing piece](https://lidvizion.ai/services/custom-software/)**
   Custom tools and applications for the gaps that matter.

Team

## The people behind the work.

Team biographies are being prepared. Meanwhile, see how our cohorts learn by building, and the work they ship.

[How we develop talent](https://lidvizion.ai/talent/) · [See the work](https://lidvizion.ai/work/)

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/)