Saptiva Studio is how enterprises ship AI that actually runs.
Credit origination. KYC. Customer operations. Market intelligence. Production-grade applications delivered by an embedded Forward Deployed Engineer. Not a proof-of-concept, not a vendor demo, in production. Each one maps a piece of how the business actually works: its entities, its decisions, its systems of record.
You keep the map.
The integrator quotes twelve months. Studio applications live alongside your data and your teams in fourteen days, because an FDE lands on day one and does not leave until it works.
Saptiva Studio applications are not templates waiting to be configured. They are production-grade systems shaped by the workflows of the region's largest enterprises. Pick one. Deploy it. Extend it.
Underwriting, risk analysis, and decision support for credit officers. Reads the application, pulls the context, explains the recommendation, logs the rationale. Every decision auditable.
Extracts, classifies, and validates identity and compliance documents. Flags inconsistencies. Routes exceptions. Structured output into your existing systems of record. Built for CNBV and CNSF frameworks.
Handles first-tier customer inquiries. Resolves the routine, escalates the complex, keeps full conversation history, respects your compliance and tone guidelines. Deployed today across banking and insurance.
Internal copilots trained on your documents, policies, and historical decisions. Private RAG, semantic search, role-based access. Never leaves your environment.
The Studio SDK is how your team extends the platform. Build industry- or process-specific applications on top of frIdA orchestration and the same audit trail as the production apps.
Savant, RAGster and Dictaminador ship inside Studio. Savant is the market-intelligence copilot. RAGster is the private knowledge system. Dictaminador is document processing and triage.
Every Saptiva Studio deployment ships with a Forward Deployed Engineer. They land on day one and do not leave until the workflow is live, auditable, and owned by your team. This is what those two weeks look like.
Embedded inside your team. Discovery begins. Data access confirmed. Sponsors aligned.
First use case scoped against real data. frIdA provisions the environment. Compliance path opened.
Application runs in development. First outputs reviewed with the business owner.
Security, audit and risk sign-off. Residency and data flow verified.
Live. Audited. Owned by your team. The FDE stays for transfer, then expansion begins.
Two weeks is not a marketing promise. It is what Banco Invex got. It holds because an FDE owns the whole outcome, frIdA removes the replatforming work, and the applications were built for these workflows in advance.
That person is a Forward Deployed Engineer. Not a consultant. Not an integrator. Not a customer success manager. An engineer who sits at your offsite, who knows your workflows, who owns the outcome in writing. This is how enterprise AI actually ships.
The FDE works from your office, your Slack, your ticketing system. They attend your standup. They meet your compliance committee. They understand the internal politics before the first deployment goes live.
An FDE is measured on production workflows shipped, not services hours logged. No SoW extensions. No scope games. If the workflow isn't in production, the FDE isn't done.
The engagement ends when your team can operate, extend, and audit the application without us. Knowledge transfer is the exit criterion. Not a handoff checklist.
Palantir invented the role. In 2026 the industry paid to copy it: OpenAI DeployCo, $4B. AWS, $1B for a forward-deployed organization. Microsoft Frontier Co, $2.5B and 6,000 people inside client organizations. It is the model we run from day one.
Interested in becoming a Forward Deployed Engineer at Saptiva AI? Write to hr@saptiva.com.
Not wireframes. Not mock-ups. The surfaces below are running right now inside our customers.
Document processing and customer operations AI running at ACMES, the broker insuring Mexico's operated airports. Saptiva Studio apps against ACMES workflows, orchestrated through frIdA, delivered by an embedded FDE.
Read the deployment →KYC document readers, conversational agents, and credit origination. Active production deployment. The workflows did not reach production until frIdA routed them.
Read the deployment →Credit origination. KYC. Customer operations. Market intelligence. Something adjacent. If you're accountable for a workflow that needs AI and a budget that cannot wait six months, an FDE responds within 48 hours.