VINZAS®
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● Applied AI consultancy EST. 2026 — Valencia · San Diego

Scroll ↓ 25 years · 25 countries · 5 continents

● Our mission

We turn AI into business results: systems that reach production and get measured — less manual work, faster decisions and processes that scale without adding headcount.

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01 / Who we are VINZAS AI

We are not an AI startup. We are 25 years of software that now think. Artificial Intelligence is new; the experience to apply it well is not.

VINZAS AI was born from an engineering firm with over two decades building mission-critical software: traceability, GIS, field apps and platforms that today operate across five continents with 99.5% uptime.

We know what separates a pretty pilot from a system that works in production, every day, with real data and real people. That is exactly the difference our AI delivers.

02 / The origin Credibility comes from the track record

25 years building software that works

Agri-food traceability platforms, GIS with satellite imagery, field apps, blockchain, IoT and drones protecting high-value production worldwide. This is the foundation our AI is built on.

  1. 01 2003 Trazatec Pioneers in agri-food traceability
  2. 02 2004 Gesvatec Mission-critical software in production
  3. 03 Global 25 countries Deployments across five continents
  4. 04 2026 Vinzas AI Engineering + Artificial Intelligence

0+

farms managed

0+

facilities in operation

0%

production uptime

0

senior engineers

03 / Global presence Different operations and regulations, one standard

Proven global presence, now with AI

0

countries

0

continents

0 M+

tonnes managed

0 M+

trucks tracked

● Verified references: Mexico · Canary Islands · Martinique · Guadeloupe · South Africa — offices in Valencia (Spain) and San Diego (USA)

04 / The 2026 shift From answering questions to executing work

AI has changed category

Until now

  • Chatbots that answer
  • Rigid rule-based automation
  • Pilots that never scale
  • Disconnected tools
  • Value that is hard to measure

2026 · Agentic AI

  • Agents that execute tasks
  • Workflows that reason and adapt
  • AI in production, measurable
  • Coordinated agent teams
  • ROI calculated in real time

0%

of companies already use AI

McKinsey, 2025

0%

achieve ROI in the first year

Google Cloud, 2025

0%

already use AI agents

Google Cloud, 2025

05 / Services From strategy to operations

What we build

01 / The foundation for AI to create real value.

Strategy, data & governance

Maturity assessment and use-case prioritisation by value and effort: we escape pilot purgatory with two or three high-ROI cases aligned with the business. 70% of pilots fail because of data — we prevent that here, with EU AI Act compliance by design.

  • Consulting and roadmap with high-ROI use cases
  • Unified data: structured, vector and graph
  • Risk classification, guardrails and traceability (EU AI Act)
  • Security by design, not bolted on later

02 / From following instructions to solving problems.

Agents & automation

Agents that reason, plan and use tools, orchestrated in teams where each one specialises and delegates work. Workflows that interpret unstructured data and absorb exceptions where rigid automation would break.

  • Multi-agent systems with human oversight
  • Dynamic, self-correcting workflows
  • RAG: answers citing the exact source, no hallucinations
  • Text and voice assistants integrated into your channels

03 / Tailored intelligence, embedded where you work.

Models, copilots & analytics

Fine-tuning and model routing: every request to the optimal model by cost, quality and latency. Copilots embedded in your CRM, ERP or office suite. Analytics that move from “what happened?” to “what will happen?” and vision that turns cameras and paperwork into data.

  • Better cost per answer without sacrificing quality
  • Copilots in interfaces your team already knows
  • Demand, churn, predictive maintenance and forecasting
  • Intelligent OCR and structured document extraction

04 / So AI works every day — and your team makes it their own.

Operations & adoption

The model is 10%; the rest is what takes it to production. Model CI/CD, monitoring, drift detection and continuous evaluation. Governed connection to your systems via APIs and MCP: your data stays where it is.

  • MLOps / LLMOps: stable, auditable, continuously improving AI
  • Integration with CRM, ERP and databases
  • Human-in-the-loop based on confidence thresholds
  • Training, academy and change management
06 / How we build it Architectures already in production

▸ 01

Coordinated agent teams

People set the direction; the orchestrator coordinates the agents. Each agent specialises, reasons, uses tools and delegates work to others — with your systems and under your governance.

▸ 02

Human judgment is never delegated

Human-in-the-loop is our design principle: AI does the heavy lifting — it observes, reasons, proposes and prepares the decision — and your team reviews, decides and approves. The AI improves with every decision.

▸ 03

Knowledge on your own data

Grounded answers over your documents, citing the exact source. Your data stays where it is: AI uses it intelligently, in your cloud or on-premise.

07 / Where we create value A young brand, already in six industries

Real industries

Ports & logistics: Digitalised dry yard
▸ Ports & logistics
Solar energy: EPC cognitive twin
▸ Solar energy
Agri-food: Large-scale citrus group
▸ Agri-food
IP certification: Protected plant IP
▸ IP certification
Document management: Invoices that book themselves
▸ Document management
Audit · Certification: Back office, set free
▸ Audit · Certification
08 / Method From idea to production, without demos that lead nowhere

From problem to result

  1. 01

    Discovery

    We identify high-value use cases and define a clear Proof of Value. If AI doesn't add value there, we tell you.

  2. 02

    Pilot

    We build a production pilot in weeks, with real metrics on your data and systems — not on a lab case.

  3. 03

    Scale

    We integrate with your systems, add agents and connect departments. Automation grows at your pace, with no leaps into the void.

  4. 04

    Operations

    We measure, optimise and train your team. The AI improves every week and the impact shows on the P&L.

09 / Results If you can't measure it, you can't manage it

0 $

return for every dollar invested in AI

▸ McKinsey, 2025

+0%

productivity among early adopters

▸ Gartner, 2025

0×

more growth with AI-led processes

▸ McKinsey, 2025

−0%

costs in first deployments

▸ Gartner, 2025

● Productivity, ROI, consumption and user satisfaction, continuously monitored. We measure impact from day one: if it doesn't create value, it doesn't ship.

10 / Why VINZAS AI AI is new; the way we work is not

AI ambition.
Software discipline.

01

25+ years of real software

We come from building production systems, not demos. We know what holds up in the real world.

02

State-of-the-art AI

Agents, multi-agent, RAG, model routing and governance. Everything an AI company can offer today.

03

People at the centre

AI suggests and models; your team decides. We design to empower people, not replace them.

04

Measurable results

Every project starts with a Proof of Value and metrics. You pay for value, not hype.

05

Close and by your side

In-house team, direct contact and real support. We speak your language, not acronyms.

06

Industry knowledge

Deep roots in agri-food and cross-industry experience in critical operations.

● We build on the world's best models and infrastructure — deployable in your cloud or on-premise

11 / Team Who's behind it

People, not platforms

Miguel Játiva

▸ CEO & Founder

Telecommunications Engineer with over 30 years of experience developing pioneering solutions: the world's first traceability project for the produce industry and leading systems solutions for the agri-food sector. Today he leads VINZAS AI, working directly with clients to make results measurable.

mjativa@vinzas.ai

Engineering Team

▸ Engineering & AI

Specialists in data architecture, language models, systems integration and software development. They design, build and deploy solutions combining hands-on experience from real projects with continuous tracking of advances in the field.

12 / FAQ What we get asked before starting

Common questions

Where does a project start?

With a no-obligation discovery session: you walk us through your operation, we identify the process where AI can add the most and propose a measurable goal. If we don't see a clear case, we tell you.

How long until it's in production?

It depends on scope, but first deployments are usually running in weeks, not months. A conversational agent connected to your knowledge base can be live in about three weeks.

Do I need perfect data?

No. Most companies have information scattered across spreadsheets, PDFs and disconnected systems. Part of our job is precisely to centralise and structure it so AI can use it.

What technology do you work with?

The leading AI, cloud and data platforms: Anthropic, OpenAI, AWS, Azure, Google Cloud, Databricks and others. We pick the best fit for each project, without locking you into a single vendor.

What happens after delivery?

A successful deployment is the beginning, not the end. We support your team through adoption, monitor performance and evolve the solution over time. No abandoned prototypes.

Do you work with my industry?

We operate in industry, retail, logistics, finance, healthcare and energy, but the industry isn't what matters most: it's having a data-driven process where automation creates measurable impact.

13 / Contact · Let's start with a Proof of Value

Let's talk.

Pick a use case. In weeks you'll have AI in production, with real metrics on the table. No commitment and no one-hour sales pitch. Valencia (Spain) · San Diego (USA)

mjativa@vinzas.ai
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