Perception / context / evidence
See.
Understand.
Verify.
Video sequences, possible events and visual evidence. The challenge is to identify what matters and make it verifiable by someone who knows the operation.
DevelopmentAI + software + the physical world
From Montevideo to everyday lifeIntelligence
steps into the world.
We design systems that connect what a camera sees, what a business knows and what a team needs to do. AI, software and the physical world, working together.
Ideas taking shape beyond the screen.
01 / Explore the connections
Interactive examples · illustrative data
The difference is
in what we connect.
Watch a sequence. Trace a fact back to its source. Carry a goal through several tasks. That’s where things get interesting.
One image doesn’t tell the whole story.. What matters may lie between one moment and the next. We work with sequences, context and evidence so a person can review what actually happened.
Connection / Applied vision + Human review
One image doesn’t tell the whole story.
What matters may lie between one moment and the next. We work with sequences, context and evidence so a person can review what actually happened.
- 01
Input / A sequence
An object changes position during an operation. The path matters as much as the final image.
- 02
Interpretation / A hypothesis
The system proposes a possible event and gathers the moments needed to review it. A detection does not mean certainty.
- 03
Action / Evidence for a decision
A person watches the clip, confirms or dismisses the event, and retains the reason for their decision.
Explorations with illustrative data. These represent real areas of work at different stages of development and validation. They are not a live demonstration or a guarantee of results.
02 / What we’re building
Depth, from the problem to the system.Beyond
the surface.
Applied research and our own systems. Our interest doesn’t end with an answer: it has to connect to an operation, a decision or something happening in the world.
Each area has its own scope and stage of validation. The visuals are illustrative.
See.
Information / sources / business
Knowledge
with roots.
Supplier information, technical documentation and the catalog connected to the business. AI to organize and enrich; evidence to support the claims.
Agents that keep work moving
Goals broken into tasks, independent review, corrections and continuity. Agreed autonomy so the team no longer has to carry context between tools.
Orchestration and development pilots.The business as a system
Catalog, purchasing, inventory, sales and follow-up connected through processes and events. Each part retains its responsibility and leaves a record of what happened.
Business platform and integrations.Software finds its place
Devices, attendance and digital signage that bring information where it’s needed. TurnoBox, Attendance and Signage are part of this work.
Each development has its own stage of validation.What drives us
AI becomes meaningful
when it connects
with what’s happening.
Artificial intelligence, software and the physical world.
We connect them around the people who use them.
03 / Let’s start a conversation
What about
your world?
Tell us what happens in your operation and what you’d like to change. You don’t need to have the solution figured out.
hola@neuronal.uyAn idea is enough to get started.Your context → a first conversation