Banks, insurers, universities, marketplaces. Different industries, the same failure pattern: pilots stall, tools fragment across teams, and what survives never leaves the team that built it, because nobody can prove what the AI did. SAPTIVA AI is the one control plane underneath all of them. Same architecture, whatever surface you put in front of it.
Built for enterprises with 1,000 or more people, or $100M or more in revenue, with a technology team of their own.
Banking, insurance, higher education and marketplaces are where it runs today. Retail, pharma and telco change the workflow, not the platform.
Everyone else sells an enterprise five products and a systems integrator to glue them together. SAPTIVA AI is one platform. The same control plane runs the bank, the insurer, the university and the marketplace. The domains extend the core. They never fork it.
SAPTIVA Studio is the control plane. It turns your context into agents and workflows, runs them where you decide and proves every decision. One control plane. One audit trail. Built once, pointed everywhere.
Financial services, insurance, higher education, consumer. Each surface is the same platform under a different buyer. The vertical is a configuration, not a separate product.
An enterprise AI decision is never made by one person. Come in by the industry you run, the role you answer for, or the surface you build on. Every path lands on the same control plane.
What you run
What you answer for
Production from day one, not demos. Anchor deployments in banking, insurance, higher education and consumer already live. We ship to production and stay.
You choose the model, the cloud, and the deployment mode. Studio abstracts the substrate. Swap any of them without rewriting a workload. Zero lock-in.
Your team operates, extends, and audits the apps. Enablement transfers ownership. Exitable by design.
Every routing decision, the configuration it ran under, and the execution are logged immutably. Every route recorded, every run priced. Audit-ready by default.
Data residency set by architecture. Role-based access from institution to user. Air-gapped when the workload cannot touch the internet.
And increasingly, the chief of staff: the one who has to make all five say yes at the same time. The platform is built so they can.
What you build on
Where you build, run and govern your AI. Agents, workflows, AI Lab. Production in two weeks.
Explore Studio →Cloud, hybrid, on-premise, or air-gapped. One control plane across every mode.
Explore deployment →Residency by architecture. Full audit trails. Role-based access. The posture a risk committee clears.
Explore security →
ACMES · Mexico
Rappi · Mexico
Banco Invex · Mexico
MultiMoney · 6 countries
Universidad Iberoamericana · Mexico
Each sector has an anchor customer where the platform is live or in final deployment. We do not pretend to be in a sector we have not yet served.
Banks, lenders, payment infrastructure, financial groups.
Credit origination, KYC, customer operations, market intelligence. MultiMoney runs production workflows on the platform today, across six countries. KYC readers, conversational agents.
Brokers, carriers, reinsurance, insurtech platforms.
Policy document processing, claim intake and triage, underwriting copilots, customer operations for brokers and their distribution networks. ACMES, the broker insuring Mexico's operated airports, runs document processing and customer operations AI on the platform today.
Universities, research institutions, academic AI labs.
Research infrastructure that clears institutional governance. Faculty AI copilots. Research administration automation. Student-facing operational AI. Universidad Iberoamericana, Mexico's largest private AI lab in higher education, is deployed on SAPTIVA AI under a multi-year contract, chosen over global solution partners on architecture and execution speed.
Delivery platforms, retail, consumer brands.
Agent-run marketing, customer operations, knowledge systems. Rappi runs agent-run marketing workflows on the platform today, live in Mexico. Nobody mandated it. The business did.
Healthcare: open for a first production deployment.
The platform is half the answer. The other half is how it reaches production and stays there. We do not ship a license and a slide deck. A Forward Deployed Engineer lands inside your team, builds the first use case against your real data and your real workflows, and transfers ownership before leaving.
A Forward Deployed Engineer works in your environment, with your data and your compliance team. The first use case ships in two weeks, not two quarters. Production from day one, not a pilot.
Structured bootcamps map each module to a capability you deployed. Your team learns to operate, extend, and audit the apps without us. Autonomy is the exit criterion.
The engagement is exitable by design. If the only reason you still need us is that your team cannot run the platform, we have not delivered. We ship to production and stay until it runs.
Whichever door you came in, every path runs on the same platform, under the same control plane, with the same audit trail. Pick the sector, the role, or the surface. If you're accountable for AI outcomes in an enterprise, a Forward Deployed Engineer responds within 48 hours.