Regulated institutions across Latin America want AI that produces real business results, fast, with their data fully under their control. Not demos. Not pilots that never scale.
The tools exist. The budgets exist. What is missing is a way to bring it all together, get something running fast, and keep your data where it belongs.
In production. Inside your walls. From week one.
Full traceability end-to-end. Your data stays where it belongs.
One place to manage all your AI. See what is happening, make changes, and scale without depending on 5 different platforms.
FrIdA sits at the center of your AI stack. It routes every workload, enforces your data rules in real time, and logs every decision without you having to think about it.
Public cloud, private cloud, or your own servers. The same platform, the same experience, regardless of where your infrastructure lives.
Your data stays where you say. Protected, auditable, and ready for any regulatory review at any time.
Every company will become an AI factory β a continuous system that turns data and intelligence into business outcomes at scale.
The intent is there. The budget is there. What is missing is the capacity to turn AI tools into running workflows, team by team, fast enough to matter.
"I always need more hands. I want to do so many things with AI, but I have to train people team by team β and that takes forever."
Enterprise client, Financial Services, Latin America
That is exactly the problem the Saptiva AI Forward Deployed Engineer solves.
Every Saptiva AI deployment is led by a Forward Deployed Engineer embedded inside your team. They deploy, configure, and scale AI alongside your team.
You stop needing more hands because the FDE becomes the force multiplier. One person enabling many teams. That is how enterprises become AI factories.
Talk to our team βYour Forward Deployed Engineer works inside your environment, understands your processes, and is accountable to your business outcomes β not to a project timeline.
Week one is understanding. Week two is deploying. By the end of week two your team is seeing AI do something real for the business β not a demo, a live use case.
The FDE stays engaged as you expand. They transfer capability to your teams as they go. This is how enterprises stop training people one by one and start scaling AI across the entire organization.
Real screens from Saptiva Studio. This is what your team will be using β built for the workflows, compliance requirements, and scale of regulated institutions in Latin America.
One AI workflow handling customer support at a bank. 18,429 messages processed. 1.8 second median response. Running on FrIdA v2.1, fully inside the bank's environment.
Credit origination, risk analysis, compliance extraction, reconciliation β ready in minutes.
Customer support at 847 queries/day. Credit origination at 4,200/day. All live, all tracked.
Every query, every step, every decision logged. Your compliance team can audit anything.
Build AI workflows with drag-and-drop. LLM nodes, agents, conditionals, human review checkpoints.
Financial documents ingested, CNBV checklist validated, credit policy cross-referenced β in seconds.
Every new AI tool, vendor, or cloud integration moves your data further from your control. Most teams have no clear answer when leadership asks: where does our data go when we use this?
The pattern is always the same: six months of evaluation, a promising proof of concept, and then nothing reaches production. The gap between demo and real business value never closes.
Multiple AI tools, multiple clouds, multiple integrations, and no single team or system that owns the outcome. When something breaks or leadership asks for accountability, nobody has a clear answer.
Most AI projects fail because nobody owns the outcome end to end. Saptiva AI does. One team, one platform, one contract β from first use case to production to scale.
Speed and control in the same platform. Results your business feels in two weeks. Your data never leaving where you need it to stay.
Built by Saptiva AI under contract with the Mexican government. The first LLM trained for Mexican Spanish, legal context, and government operational requirements. In production at national scale.
Multi-year contract with Universidad Iberoamericana. Saptiva AI is the infrastructure backbone for academic AI research in Mexico, deploying sovereign compute at institutional scale.
"Saptiva AI drives secure digital transformation in finance by offering local infrastructure aligned with CNBV standards. Sovereign, trusted AI for a stronger RegTech ecosystem."
"Thanks to Saptiva AI's expertise, we built the first AI-powered leasing company in Mexico, allowing us to offer more competitive pricing and a superior customer experience."
"Saptiva AI helped us redefine how associations and chambers operate across LATAM. Their speed, precision, and vision have positioned us years ahead in the market."
"What we value most is how Saptiva AI translates our needs into effective solutions. Their consultative approach has made them a reliable, proactive partner as we expand AI across our business."
Tell us what business problem you need solved. We will tell you exactly what we can deliver, in what timeframe, and what it will look like. No demo scripts. No slide decks. A real conversation about your specific situation.
We review your business problem before the first call. You speak with someone who has deployed AI inside regulated institutions and will tell you directly what is possible, what it costs, and how fast you will see results.
Business hours, Mexico City time. Enterprise accounts assigned to a dedicated solutions architect within one business day.
Twenty years ago we built Quiubas Mobile, the dominant messaging platform across Latin America. Bootstrapped for 13 years, operating in 61 countries, acquired by Twilio. We are now applying that same infrastructure discipline to AI.
Before APIs were standardized across the region, we connected Latin America's messaging infrastructure. We know what it takes to build mission-critical systems at scale in this market, navigate its regulatory complexity, and earn the trust of regulated institutions that cannot afford downtime.
This is not our first infrastructure problem. It is the most important one.
Not a pilot. Not a proof of concept. Real AI delivering real business outcomes for regulated institutions across Latin America.