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Company
Valentino AI helps independent freight forwarders decide where AI belongs, what their systems can support, and which investments deserve priority. Implementation is scoped from the evidence and delivered with specialist partners when needed.
We assess your workflows, systems, and data, then turn the findings into a practical roadmap. The next step can stay with your team, move to Valentino AI, or go to another provider.
Assess, activate, connect, build, and improve. Each phase has a clear deliverable, owner, and decision point so a forwarder can fund only the next useful step.
Built on Supabase (Postgres) and Vercel with AES-256 encryption at rest, modern TLS in transit, and per-tenant data isolation via Postgres Row-Level Security. Zero-training-data policy — your business data is never used to train AI models.
Routes each task to the right model across Google (Gemini), OpenAI, Anthropic (Claude), Meta (Llama), Mistral AI, DeepSeek, Cohere, Stability AI, and Black Forest Labs. Live research powered by Perplexity Sonar Pro.
I use the Valentino AI workspace to manage client engagements, prepare workflow demonstrations, and review applied AI solutions. It supports the consulting work; it is not a public software subscription. Client access is arranged for a specific engagement.

Founder & Principal Consultant
Alex Orozco
Alex Orozco is a logistics AI specialist and operations-transformation leader with 15+ years spanning freight forwarding, international operations, pricing, sales, process improvement, BI, and technology adoption. He helps freight teams turn operational bottlenecks into usable data, clear workflows, and AI-enabled systems — with the people who run the work involved from discovery through handoff.
Most AI vendors selling into freight arrive from software and learn the industry on the client’s budget. The sequence here is the other way around: the operations experience came first, and the AI work grew out of the reporting, quoting, and exception problems that recur across forwarding operations. Deciding which workflow is worth changing — and whether the data behind it can be trusted yet — is an operations judgment before it is a technical one.
The interviews, the data-readiness review, and the roadmap are his work. You are not handed to a junior analyst after the sales call.
The recurring failure in freight AI is a technically sound build aimed at the wrong workflow. Having done the operations work is what makes that call reliably.
When a roadmap calls for specialist work, we confirm the partner, availability, and scope before committing to delivery. Implementation is a separate engagement.
Implementation work that needs specialist depth — data engineering, BI, telephony, security — is scoped after assessment and specialist confirmation. Reach us directly at contact@valentinoai.com.
For platform questions, custom development inquiries, or partnership discussions — reach out directly.