Apps & SaaS
Web and mobile applications that reach production and the app stores — they don’t stay prototypes.
→ 6 apps live in production and in the stores
We build software, predictive models and AI agents that work for you — and keep running when nobody is watching.
Web and mobile apps that reach production and the app stores. Not prototypes: products people use.
See projects →Models that anticipate prices, demand and risk. Uncertainty gets measured, not invented.
See projects →Assistants that read your data and answer with evidence. And we teach you to build them.
Go to the Academy →We connect your tools and delete the repetitive work. It runs itself, every week.
See projects →From messy CSVs to dashboards people actually decide with. A reliable pipeline behind every number.
See projects →We don’t sell no-code or pretty demos that fall over on the first Monday. Behind every workflow there is engineering judgement: well-modelled data, code that can be maintained and machines that really do run on their own.
Web and mobile applications that reach production and the app stores — they don’t stay prototypes.
→ 6 apps live in production and in the stores
Models that forecast prices, demand and risk — with uncertainty quantified, not invented.
→ 26 years of market data behind the models
Assistants that read your data and answer with evidence. Less hallucination, more useful answers.
→ In production for a major energy company · 52 challenges in the Academy
We connect your tools and delete the repetitive work. What you do by hand today runs itself tomorrow.
→ Running every week: zero manual editing
From messy CSVs to dashboards people actually decide with. A reliable pipeline behind every number.
→ 108,000 public parcels on a single map
We tell you what to build, what to buy and what not to automate yet. Judgement before code.
→ That judgement comes from 16+ systems shipped
● Live (real mode)
A complete system so the restaurant sells and cooks better: self-service ordering, waiters and tables, delivery with a live map and sales intelligence. Multi-restaurant SaaS: QR menu with 3 photo-first templates, real-time kitchen display with per-step timers, an SVG floor plan with zones assigned to waiters (point-in-polygon), delivery tracking on a live map, batch inventory with FIFO consumption, a CRM derived from the orders and an AI assistant for the owner. Payment is confirmed by a webhook, never by the customer’s browser.
From the customer to the kitchen without friction: QR menu, orders on screen, tables, delivery and inventory.
● Live
It also carries the study design and the executable plan, behind a private area. A multi-page static site with a public showcase and a password-gated area (SHA-256 hash on the client), PDFs regenerated with Playwright + Chrome print, and a research design of seven studies with hypotheses and statistical techniques. Hosted as an extra Hosting site, without touching the agency landing page.
Sustainable sheep and goat farming for the Canada–Latin America Alliance: the smallholder records the flock by speaking, with no internet.
Collect dues on time and bring arrears down with automatic reminders; answer hundreds of residents, owners and vendors without dropping a single complaint; and walk into the annual meeting with the books clear and everything in plain sight. You negotiate with vendors on data, not hunches — and because it is multi-tenant, you multiply capacity without multiplying headcount. One screen so nothing slips: receivables, finance, contracts, bookings, visitors, documents and communication with hundreds of residents, boards, owners, staff and vendors — plus an AI assistant and modules for EV charging, doors and lighting. Multi-tenant SaaS with a super-admin console that enables and bills modules per building; Firestore is closed to the client (everything goes through an API that validates the token). CI/CD deploys on every push.
The command centre for property managers: receivables, residents and clear books for the annual meeting — across several buildings at once.
● Live
Multi-tenant SaaS where the client never touches the database: everything goes through an API that validates role and organisation. Geofenced clock-in, configurable work week, FLSA ×1.5 overtime, PTO requests and approvals, payroll runs by day/week/biweekly/month with an anti-double-pay lock and a paystub per run, ADP and QuickBooks export, a subscribable calendar (iCal) and a platform console to activate or suspend clients. 529 automated tests, all green.
The all-in-one platform for hourly businesses in the US: the team clocks in and out, the system builds shifts, PTO and overtime according to labour law, and the admin runs payroll for any period — with commissions, deductions and the file ready for ADP. In English and Spanish.
● Live
An off-market radar for neglected property: it finds and ranks parcels showing signs of abandonment. A geospatial join of county parcels with public records (tax delinquency, liens, absentee or out-of-state owners, vacancy) computes a Neglect Score per parcel and paints it as a choropleth on MapLibre, with filters and CSV export. PostGIS backend.
Finds abandoned property in a US county by joining public data, scoring each parcel 0–100 on an interactive map.
In progress
A showcase inspired by elite sports sites, sitting on a data layer: per-match metrics, video of real plays and the athlete’s technical profile, designed to grow with wearable data.
A bioprofile and performance platform for a youth athlete: a public showcase built on a performance data layer.
● Signed app
Offline-first sync with conflict resolution and blob storage (images and lab results). A signed APK served from our own hosting, working around distribution limits. Each person only ever sees their own history.
A portable medical history: lab results, diagnoses and images in one place, with end-to-end sync and a signed APK distributed from our own hosting.
● Live
A solar-plus-storage self-generation estimator that uses the tariff of the utility that actually serves you. It takes an address (or a Google Maps link resolved server-side), pulls the site’s real irradiance from NASA POWER, measures the distance to the power grid with OpenStreetMap to detect off-grid areas, sizes the PV + battery system with a minimum kit, and runs a 25-year cash flow with Colombia’s Law 1715 tax shield and the right utility per region.
Type your address and it tells you whether panels are worth it: investment, savings and payback, on real irradiance.
Operating
LLM generation, a human approval queue and publishing through the LinkedIn API with correct format escaping (LTF) so the post doesn’t break when it renders. Versioned drafts.
A pipeline that drafts with AI, goes through human approval and publishes to LinkedIn. The content ships itself; you only approve.
Analyses, apps and our own explorations — swipe to see them.
● Live
An interactive course — taught in Spanish — that teaches AI and Claude Code by doing: 6 modules, 27 topics and 52 recall challenges, with saved progress and a community.
● Live
A regional business journalism portal edited by Francisco Gómez, where we are collaborators: the full editorial platform, live market indicators, contextual advertising and a CMS for the newsroom.
Analysis
Where to buy land for a thermal onsen near Bogotá: the search runs backwards — from the hot water and the fault line to the parcel — on official data.
A voice bank and voice cloning — offline and private — so my mother can keep speaking in her own voice after surgery, through an AAC communication board.
Tournament completed
Prediction pools with private groups and live scoring, published on Google Play. It carried an entire World Cup with real-time users — and was distilled into a product dossier: real screens, architecture and tournament numbers.
● In production
A companion for the World Cup sticker album: it knows which stickers you have, need and have doubles of, sets up QR swaps and finds collectors nearby.
Model in use
A spot power price forecast for a major energy company, with spike classification and calibrated intervals.
Analysis
Decomposition and clustering of system demand, to separate signal from noise and understand what really moves it.
A weekly brief that builds itself: it pulls from public APIs, processes the data and delivers it ready every Monday in the team’s channel.
Proposal demo
A redesign demo for a Bogotá workshop that has repaired medium-voltage motors for half a century: a new site, an awards sub-site and lead capture over WhatsApp.
A bilingual personal-brand microsite for a commercial executive: the website, two résumé versions and a one-pager, all printed to PDF from the same HTML, with a QR code for the paper version.
What a building’s information would look like if nobody had to ask for it: budget, works, minutes, rules and bookings in a single public view — no app, no passwords.
A model that decides, hour by hour, whether the fuel is worth selling or burning to self-generate — with energy supply as a hard constraint and the shadow price of each carrier as the diagnosis.
Four hectares in the Colombian plains: generate with sun and batteries not to sell energy, but to sell processing (GPUs for AI). The plan validates demand first — the riskiest part — not the land.
Quantitative tools to watch a high-volatility portfolio: opening range, VWAP mean reversion and relative strength against the sector index. The system alerts; deciding stays human.
Six agents to run the company itself — sales, proposals, finance, marketing and support — coordinated by an orchestrator. Phase one, the WhatsApp sales agent, is built and waiting on the channel.
Tools that have already been through production — not a wish list. Each family links to the project where you can see it running.
What the user touches: screens that load fast, make sense without a manual and behave the same on a low-end phone.
What holds the product up once there are people inside: accounts, permissions, money and deploys that aren’t scary.
Seen in APPministrador Chronos Economía Santander
Machines that read, answer and speak — with the source in plain sight and a human approving before anything ships.
From raw data to a decision: long time series, maps, optimisation and forecasts that carry their own uncertainty.
Seen in Predio Radar Predictor Energy dispatch
What runs on its own when nobody is watching: scheduled jobs, browsers that work overnight and one-line deploys.
Seen in Market brief The Fleet Autopost
Getting found — in Google and inside the AI assistants — and then knowing who arrived, from where and what they did.
What keeps it from falling over on the first Monday: tests, role-based permissions, data that doesn’t leak, and the decision not to build when building isn’t worth it.
Seen in Chronos Historia Médica APPministrador
No tool arrived because it was fashionable: each one showed up because a project demanded it. This is the real order, what each one is for and where it was first used.
Pulling power-market figures straight from the official source, instead of waiting for a file somebody exports by hand.
First used in: the price forecaster
Turning decades of time series into something a committee can argue about without opening a spreadsheet.
First used in: the demand model
The interface: what the user sees and touches, and which has to answer in the first second or it’s lost.
First used in: La Gran Poya
A backend with no servers to administer: accounts, data that updates live and publishing in minutes.
First used in: La Gran Poya
The same web codebase ships signed as an Android app and reaches the store — without writing the app twice.
First used in: La Gran Poya
Having somewhere to show the work before the first client exists. Trust is also built by publishing.
First used in: the personal portfolio
It works with nothing to install, and two strangers can find each other to swap what the other is missing.
First used in: Monitas 2026
The medical history lives in your pocket even with no signal — and only its owner can see it.
First used in: Historia Médica
Forecasting the price and saying how confident we are: a calibrated interval (LightGBM + Markov + conformal prediction), not a promise.
First used in: the price forecaster
Types that catch the bug in the editor, before it reaches a real person’s paycheck.
First used in: Chronos
529 tests that run on every change: today’s fix cannot break tomorrow’s payroll.
First used in: Chronos
A product born speaking English and Spanish, with language as data instead of a duplicated copy.
First used in: Chronos
Explicit rules instead of gut feel to watch a volatile portfolio: opening range, VWAP mean reversion and relative strength.
First used in: intraday signals
Joining public records on the map and ranking 108,000 parcels by a signal nobody had looked at together before.
First used in: Predio Radar
A company that builds for others needs a visual voice of its own — type, colour and motion with judgement, not a template.
First used in: this site
Real irradiance for the exact coordinates of the roof, not a country average: the difference between a quote and a guess.
First used in: the Solar + BESS estimator
Searching backwards: first the hot water and the fault line, then the parcel sitting on top of them.
First used in: Onsen · Valle de Tenza
Many clients on one system, each seeing only their own, with a console that activates and bills per client.
First used in: APPministrador
The server confirms the payment — never the customer’s browser — and the kitchen sees the order in the same second.
First used in: C2K
Giving someone their own voice back after surgery — and making sure that voice never leaves the house (Whisper, F5-TTS, Piper).
First used in: 2daVoz
A course of our own with recall challenges: if a technique can’t be explained to someone else, it isn’t understood yet.
First used in: Academia Claude Code
Splitting the company’s work across agents with a trade of their own, coordinated by an orchestrator (Agent SDK + n8n).
First used in: The Fleet
An assistant that answers from the company’s own documents — not the internet — and cites where each thing came from.
First used in: energy sector · confidential
Deciding whether to sell or burn the fuel with energy supply as a hard condition, and reading the shadow price of each carrier.
First used in: the energy hub dispatch model
The newsroom publishes on its own, from the browser, without calling the developer to change a headline.
First used in: Economía Santander
Knowing where people come from, what they touch and where they leave — before having an opinion on what to change.
First used in: this site
Getting indexed by Google and cited by AI assistants: two different jobs, with different rules.
First used in: the essays
Our own domain, corporate email that doesn’t bounce and sending authentication in order (SPF, DKIM, DMARC).
First used in: digiautom.com
A forecaster for liquefied petroleum gas prices in Colombia by city and date: the domestic and imported molecule broken out, live FX and a traceable source behind every number.
Colombia sees only 1 of its 19 energy carriers in time. The essay walks the full matrix through its connected vessels and proposes a national energy-security centre: watch the system so you can decide under scarcity without hurting the economy.
The traditional way to explore — drill to find out what’s down there — has run out of road in Colombia. The bold play: open up subsurface data, let information technology in, and de-risk the big prize with surgical precision.
Academia Claude Code — an interactive course, taught in Spanish, to learn artificial intelligence and how to really use Claude Code. You learn by doing, with recall challenges and a community.
[ The record, in numbers ]
systems and prototypes shipped
apps in production and in the stores
industries: energy, health, insurance, restaurants, real estate, sport…
machines running with nobody watching
We talk about your bottleneck, not about technology. The problem first, the tool after.
We define the simplest solution that works. Sometimes the best answer is not to automate yet — and we say so.
Real software: versioned, tested, documented. No demos that don’t scale and no scripts that only run on your machine.
We leave it running, monitored and in your hands. We teach you to operate it so you don’t depend on anyone.
We build custom software, predictive models and AI agents out of Bogotá, Colombia: more than 16 systems shipped, 6 apps in production and in the stores, across 10 industries (energy, health, insurance, restaurants, real estate, sport…). We don’t hand over prototypes: every system is left running on its own, versioned and documented.
It depends on scope, which is why we don’t sell generic packages: a short consulting engagement first defines the simplest solution that works and its fixed budget, before any code is written. Sometimes the honest answer is that automating isn’t worth it yet — and we say that too.
Both. We have built for restaurants, residential buildings, insurance agencies and regional media, and also for a major energy company. The standard is the same at every size: well-modelled data, code that can be maintained and machines that run on their own.
It’s an assistant that reads your data — documents, databases, email — and answers or acts with evidence: it handles customers, builds reports or watches indicators. We run agents in production for a major energy company, and in Academia Claude Code we teach how to build them across 52 hands-on challenges.
Yes. Our energy price models are trained on 26 years of Colombian power-market data and deliver quantified uncertainty — calibrated intervals, not promises. The same approach applies to demand, risk and inventory.
Write to us on WhatsApp or at hablemos@digiautom.com and tell us where your bottleneck is — the problem, not the technology. We answer within 24 hours.
[ Got something that should be running on its own? ]
We answer within 24 hours · Bogotá D.C., Colombia