Digiton is an AI consulting firm and custom AI development company: AI agents, custom AI software, and taking what your team built with Claude into production.
Digiton Dynamics designs, builds and runs the system under an AI product: the agents, the data pipelines and the platform they sit on. Our own product, Parci, covers 300 of 308 Portuguese municipalities and returns a cited report in about 47 seconds. Work starts with a free 25-minute scoping call. The first paid step is a production review: five working days on your real repository and infrastructure.
Four practices. One standard.
Custom AI platformsPlatforms A platform you own that replaces a subscription or a spreadsheet chain. Built in phases, each one accepted in writing. Next.js · Python · Supabase
Agent systemsAgents Agents that read your data, call your own systems and log every action, with a kill switch and a named owner. Claude · tool calls · evaluation gates
Production engineeringProduction You built it with Claude, Cursor or Lovable. We score it against ten layers, load test it and fix what breaks. Claude · Cursor · Lovable builds
Consulting and governanceGovernance Architecture, AI governance and code review for teams that have engineers but nobody senior on AI. Architecture · AI governance · review
Also
Marketing automation and AI searchAlso Email flows, content engines and pages that get cited in AI answers. Klaviyo · email · AI search
Workflow automationAlso Connect the tools you already pay for and remove the copy and paste in between. n8n · Make · Zapier
TrainingAlso Cohorts capped at twelve that teach your team to ship and run agents. Cohorts · on site or remote
Selected work
ChaZeMoEV charging, Lisbon, 2026, Live, on real charger data The operations platform behind an EV charging network. ChaZeMo's own back office for its charger network, running on live charger data since July 2026. Sessions are priced on Portugal's four tariff periods, and each building manager gets a portal that shows only their own sites. An OCPP 1.6J link has already run a full billing cycle on a real charger.
The Email MarketersEmail marketing agency, Remote, 2026, In production, portal and automations The automation layer behind an email marketing agency. We took over the automation behind TEM's client work. Clients log in to a portal to approve work and read monthly reports, and a newly signed client gets a login without anyone setting it up. ClickUp stage changes trigger brief checks and Slack carries the briefs and alerts. We also built a Klaviyo agent for cart copy.
A top university in El SalvadorHigher education, Central America, 2026, Delivered, production cutover, June 2026 A closed-RAG tutor inside a university Moodle. An AI assistant that answers students only from their own course material, inside the Moodle they already use. Each course gets its own retrieval workspace, and the system runs on the university's own infrastructure. When a question falls outside the course, it says that plainly. Read the write-up
Medical FamilyHealthcare, Lisbon, 2026, Live, medicalfamily.pt A clinic website that catches every enquiry. A new website for a medical and dental clinic in Carnide, live on medicalfamily.pt. Every booking form and online assessment lands in one admin inbox and alerts the clinic team. Each treatment has its own SEO page, with clinical copy taken from the clinical director's own text. Read the case study
Cascais rental managerShort-term rental, Cascais, 2024, 40 to 65, properties, under a year An owner pipeline that keeps the portfolio growing. A short-let manager on the Cascais coast, trading since 2005, had sat at 40 properties for years. We shipped a direct-booking website and a radar that spots each new short-let licence the day it is registered. The portfolio reached 65 in under a year. We keep the client's name private. Read the case study
ParciOur own product, Portugal and Estonia, 2026, 300 of 308, Portuguese municipalities Zoning answers with the legal article attached. Parci is the real-estate AI platform we built and run. Point it at a plot and about 47 seconds later you get a feasibility report that cites the municipal plan. We wrote the data pipeline, the agents and the report engine. Read the case study
Brandon Da CostaFounder, CEO, AI Architect, Lisboa 8 years across marketing and tech. Building websites since age 11. Now builds the AI systems that replace the manual work he used to do for clients.
SashaCo-founder, Head of Growth, remote EU Ex-Reddit marketing. Community growth specialist. Drives market adoption across 8 industries from healthcare to specialty DTC.
WoohyuckCTO, remote APAC Full-stack engineer. Builds the platforms and ships the code.
About Digiton
What is Digiton?
Digiton Dynamics is an AI consulting firm and custom AI development company. It builds AI agents and custom AI software, and takes systems that teams built with Claude, Cursor or Lovable into production. It is registered in Tallinn, Estonia, delivers from Lisbon and runs its own real-estate AI platform, Parci.
What does Digiton build?
Most engagements are one of three: a custom AI platform, an agent system, or production engineering on something your team already built. Agents read your data, call your own systems and log every action, with a kill switch and a named owner.
How does work with Digiton start?
With a free 25-minute scoping call. If the build fits, the first paid step is a production review: five working days on your real repository and infrastructure, scored against ten layers, with one load test and a costed fix list.
Where is Digiton based?
The company is registered in Tallinn, Estonia, under registry code 17385234, and delivers from Lisbon. It works with teams in other countries remotely and on site.
Who founded Digiton?
Brandon Da Costa founded Digiton in 2018 as a digital marketing studio. The work moved to automation in 2023. In 2024 the Estonian company was registered to build AI systems full time.
Building something that has to hold up in production?
Start with a free 25-minute scoping call. If it fits, the first paid step is a production review: five working days on your real repository, scored against ten layers, with a costed fix list.