Vini AI · Inteligencia artificial para humanos
Augmentation, not replacement.
We build AI products that make your team dramatically more capable — simulators that show the outcome before you commit. Never systems that make your team redundant.
−50 M · Beliefs
AI for humans.
Every system we build has a person on the other end. If it doesn't make their day better, it doesn't ship.
Augment, never replace.
The best AI doesn't do your job. It removes the parts of your job that a machine should have been doing all along.
The ocean is deeper than one wave.
LLMs changed the world — and they are one branch of AI among many. We bring the whole ocean to the problem.
−300 M · Capabilities
AI is an ocean, not a single wave.
Chatbots are the surface. Here's what lives below.
Frontier LLMs & agents
Reasoning over your documents, email, code, and conversations: the interface between your company and its language.
Machine learning
Models trained on your own history: churn, credit risk, demand, maintenance. Quiet, boring, extremely profitable.
Computer vision
Cameras that inspect quality, watch safety lines, and read paperwork faster than any person should have to.
Forecasting
Time-series models that see next quarter's demand in last quarter's numbers.
Optimization & OR
Routing, scheduling, pricing, allocation. The mathematics that moves physical things.
What's next
Agentic systems, neuro-symbolic AI, on-device models. We track the frontier so you don't have to bet on it blindly.
−600 M · Why now
Software riches, small-team budgets.
For fifty years, a company with a software idea faced a binary: buy generic tools, or employ an army of developers. Software that fit your exact decision was a luxury reserved for giants.
That math has changed. Frontier LLMs — driven through our disciplined AI harnesses (agent pipelines, automated tests, review loops, deployment rails) — have collapsed the cost of building software. A small crew can now ship what used to take a department. That is why we build products, not projects: every simulator we ship makes the next one faster.
So no — we don't build custom software to order. We pick the decisions worth simulating — a product launch, a territory plan — and we build with the partner who owns them.
−900 M · How we work
From pilot to product. No theater.
Partner
We pick one hard, expensive decision and the partner who owns it. Our first pilot: AquoLiber, a Mexican water-treatment company.
Simulate
We build the simulator around the real decision, with real data — not a demo around a slide.
Calibrate
We test the simulation against reality until it earns trust: simulated outcomes vs. real ones, in the open.
Productize
The pilot becomes a product the whole team uses — and the next case starts faster.
−1,100 M · The serious part
Corporate-ready from day one.
Your data stays yours
Private deployments in your cloud or on-prem, with data-residency options in Mexico and abroad.
No black boxes
Every output is measurable and auditable. If we can't explain it, we don't ship it.
Humans in the loop
Escalation, review, and override paths are part of the design, not an afterthought.
Bilingual, bicultural
We work in Spanish and English, in your time zone — and we're a short flight away, not twelve.
−1,300 M · Focus areas
Two focus areas. Two products taking shape.
We don't build software to order — we augment commercial teams and we simulate markets: two ways to make a hard decision safe.
PRODUCT 01 · AUGMENT
Augmentation tools for the commercial team of a water-treatment company: a priority map crossing water stress with real customer presence, plus an AI expert that recommends the right treatment.
Explore the area →PRODUCT 02 · SIMULATE
In-silico market simulators for retail & CPG: validate concept, price, packaging, and media mix against thousands of synthetic Mexican consumers — before you produce a single box.
Explore the area →−1,500 M · Narwhal depth
Ready to meet your AI?
Tell us which decision keeps your team up at night — a launch, a territory, a treatment train. If a simulator can make it safe, we'll show you; if one can't, we'll say so.