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Forward deployed engineering

We don't hand over a report. We sit with your team, build on your systems and stay until it runs in production.

  • In your environment

    On your data, your systems and with your people, not in a separate lab.

  • Code in production

    The result is something your operation uses, not a demo.

  • What repeats becomes product

    That is how Binder and Bandeja started: from work done inside a real operation.

A project, stage by stage

  1. 01Understand (current stage)
  2. 02Build (to do)
  3. 03Production (to do)
  4. 04Hand over (to do)
Understand
Your operation, from inside
Build
On your systems
Production
With real users
Hand over
Your team runs it

Who you work with

We speak as a firm, so there are no portraits here. There are roles, what each one answers for, and the stages they are with you.

Project roles and the stages each one takes part in
Role01Understand02Build03Production04Hand over
Project leadYour single point of contact. Answers for scope, dates and that you always know which stage you are at.Takes partTakes partTakes partTakes part
Deployed engineerWorks inside your operation, builds on your systems and stays until it runs in production.Takes partTakes partTakes partTakes part
StrategistCharts the route at the start and checks at the end that the result is the one you were after.Takes partDoes not take partDoes not take partTakes part
Licensed partnersAccountants, lawyers and banking partners handle legal, tax and banking matters.When the project calls for it

Two real examples: the music academy was one deployed engineer for 3 months; the insurance broker, three engineers for 6 months.

Where we have worked this way

  • Insurance
  • Banking
  • Retail
  • Telemarketing
  • Construction
  • Music education

Two projects, start to finish

  • Music academy · Mexico City

    Introductory classes became guided practice. Teachers moved to the advanced levels.

    20 h → 5 hof teacher-led introductory classes

    2 branches · 200+ students · running since January 2026

    The problem
    Basic and introductory classes took up the teachers the academy wanted on intermediate and advanced levels.
    What we built
    Short music-theory lessons in the academy’s own method, as video, reading, text and images. The teacher sets the exercise, the student sends a video, AI gives first feedback, and the teacher validates it and assigns what comes next. A mobile app shows progress through levels.
    How we worked
    One engineer deployed inside the academy for 3 months.
    What changed
    Teacher-led introductory classes went from 20 hours to 5, with no drop in workload: that time moved to intermediate and advanced classes and jam sessions. Attendance in the rainy months rose 20% and retention went from 60% to 80%.
  • Multinational insurance broker

    Request cover from a phone, and an engine that finds who underwrites it.

    3 weeks → 2 daysprocessing time per request

    3 engineers · 6 months · in production since June 2021

    The problem
    In México many people insure their car and nothing else. The broker wanted to reach the home and micro-insurance: trips, belongings, equipment.
    What we built
    A mobile app to request cover and an engine that identifies the underwriter and the conditions for each request, connected to their policy, finance and CRM systems.
    How we worked
    Three engineers deployed inside their operation for 6 months.
    What changed
    Processing time fell from 3 weeks to 2 days, and policies per customer went from 1 to 3. The broker measures it with conversion and renewal funnels.

Clients are described by type. Figures are as each client reports them.

Risk and company qualification

AI proposes. The analyst confirms.

A platform to assess a company’s risk and qualify it for different purposes: credit and funding, evaluation as a supplier, credentials, business maturity and learning opportunities, and grants.

  1. The work queue: every file, its stage and what is holding it
    The work queue: every file, its stage and what is holding it
  2. Fields extracted by AI stay as proposals until a person confirms them
    Fields extracted by AI stay as proposals until a person confirms them
  3. The company’s financial history, with its consent, as input for the analyst
    The company’s financial history, with its consent, as input for the analyst
  4. Customers and collections rebuilt from invoices, with alerts per customer
    Customers and collections rebuilt from invoices, with alerts per customer

Final product design. Fictitious companies; the names of the platform, the client and people are blurred.

From project to product

When something repeats across clients, we build it once.