Forward deployed engineering (FDE) is a model in which software engineers work inside a customer's own systems and data to build and run solutions in production, instead of advising from outside. KINTO practices it, with approval or validation before anything moves money.
KINTO's engineers start from the client's real systems, not from a brief.
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The term comes from Palantir, which says it pioneered the role and describes it as embedding engineers directly with customers. AI companies now use it for engineers who deploy models inside a customer’s workflows. In Spanish-speaking markets the job title is usually kept in English; “ingeniero desplegado” is a plain description of it.
KINTO’s engineers start from the client’s real systems, not from a brief. Each step below appears in a published case.
KINTO’s product hacking and growth is this method applied to a growth question, a subset of KINTO’s forward deployed engineering: find the lever in the client’s own data, then build the smallest change that moves it. The engineering is forward deployed because the lever lives in the client’s conversations, ERP and sales data, not in a template.
KINTO does not publish the size of its team, client names or certifications on this page. Results are stated as each case measured them, with their source and with what is still unknown. To see how this would look in your operation, contact KINTO.
WhatsApp & voice agents
KINTO fixed the weak link of an e-commerce brand that sells over WhatsApp with a multi-model audited agent and order-by-order reconciliation; the owner reported a month with channel sales ≈30% above their history.
Agentic ERP
KINTO gave a real estate firm locked inside a sector ERP an agent layer that reads the ERP, shows lease by lease the status of each document, and writes only when a person approves.
Agentic ERP
KINTO replaced a two-decade-old system and a macro-driven spreadsheet with an agentic ERP that matched the old system to the cent on 100% of shared waybills over six months and surfaced customer-reactivation opportunities.
WhatsApp & voice agents
By analyzing a year of invoices, KINTO found that fewer than half of a food manufacturer’s customers drove almost all of its volume; we built a production WhatsApp agent, an AI calling pilot and a headless store that kept every URL.
Forward deployed engineering is a model where engineers work inside a customer's own systems and data to build and run solutions in production, instead of advising from outside. Palantir says it pioneered the role, and it is now common at AI companies. KINTO applies it to WhatsApp sales, ERP, catalog and ad spend, with approval or validation before anything moves money.
Not exactly. KINTO's product hacking is its forward deployed engineering applied to a growth question: it starts from the client's own data to find where growth is stuck, then builds the smallest change that tests it. Forward deployed engineering is the wider way of working; product hacking is its growth-focused part.
An agency delivers a campaign or a site, and a consultancy delivers a recommendation. KINTO's engineers build and operate the system inside the client's operation, starting read-only, with approval or validation before anything moves money. Its published cases state what was measured and what is still unknown.
KINTO starts read-only: it reads conversations, ERP records, invoices or ad accounts to diagnose before it builds. What moves money or changes the books or the ad accounts is approved by a person or validated against the previous system before it goes live; routine work that code can verify runs on its own. Scope and access are agreed after the diagnosis.
Tell KINTO what is going on. The first conversation is to understand it, not to sell.
