Software engineering · Romania · since 2017
We build software that ships to production.
And stays there.
Country-scale data systems, ERPs and AI-powered products — designed, built and operated by us, for clients who need more than an MVP.
- Since 2017
- 4 systems in production
- Reply within 1–2 business days
Ledger
Four systems in production, operated by us every day
No demos. Every row is a real system with real users — open it and see how we built it.
Services
What we build — and where you can see we’ve done it before
From discovery and architecture to deploy and operations. Every service below is backed by at least one shipped system.
Product discovery & strategy
We turn an idea into a clear product plan: scope, architecture, roadmap and an MVP you can validate fast.
Proof Bizigniter — from idea to web + mobile
Web platforms
Complex web apps, from dashboards and portals to multi-tenant SaaS — fast, secure and easy to scale.
Proof Companero — platform covering 2.7M companies
Mobile apps
iOS and Android apps from a single codebase, built for real field work: offline, photos, voice.
Proof ElectrionERP — field app, iOS + Android
AI products & agents
We embed LLM models, agents and automations straight into the product: assistants, data extraction, recommendations, MCP.
Proof ElectrionERP — voice → work order
Data architecture & APIs
Data pipelines, integrations with external sources and developer-first APIs — over millions of records.
Proof Datero — OpenAPI API over public data
Dedicated teams & operations
We support you long term: a team that owns the product, runs it in production and keeps moving it forward.
Proof Companero — operated by us since 2023
Work
Case studies
Not presentation mockups — real systems, used every day. Each has its own technical story.
Business intelligence · Data · 2023 — prezent
Company intelligence for all of Romania
A platform aggregating data on 2.7 million Romanian companies from five official sources, with instant search, financial profiles, an AI assistant and an API.
- Voice
- AI-powered entry
- iOS + Android
- one codebase
- Multi-tenant
- ready to scale
Field ERP · Mobile · AI · 2025 — prezent
Field service work orders, dictated by voice
A mobile app for field-service teams: the technician dictates the job by voice and AI structures it into a work order, quotes and photos — with a web back-office panel.
Applied AI
AI in production, not on slides.
We don’t sell “AI transformation”. We ship concrete features built on models — in our clients’ products and in how we work. Every example below runs in a real system today.
- AI assistant with MCP tools over data on 2.7 million companies Companero
- Dictate the field job — the model structures it into a work order and quote ElectrionERP
- Recommendation engine with 0–100 semantic scoring and explanations Bizigniter
- “llms.txt” docs so AI agents can discover the API on their own Datero
- AI across our own development process — code, testing, operations Altia
How we work
No surprises: you always know what’s being built, what it costs and who’s accountable
We’re a small team of senior engineers. That means fast decisions and direct accountability — not layers of account managers.
- You talk to the engineers
- The people answering your email are the people writing the code. No intermediaries, no “let us check with the team”.
- The code and infrastructure are yours
- The repository, servers and accounts are in your name from day one. You can leave at any time, with everything.
- Milestone estimates before you commit
- After discovery you get a proposal with milestones, deliverables and an estimate. You decide stage by stage.
- We stay after launch
- Deploy, monitoring, maintenance and iteration. The systems in the ledger have run for years because someone operates them.
- 01
Discovery
We understand the business and goals, define the scope and pick the architecture. We leave with a plan and a milestone estimate.
- 02
Design
We prototype the flows and the interface. We validate early, so we don’t build the wrong thing.
- 03
Build
We build in short iterations, with AI in the loop. Tested code, shipped often, visible at every step.
- 04
Operate
Deploy, monitoring and maintenance. We stay accountable for the system and keep moving it forward.
FAQ
What clients ask before they start
How much does a project cost?
It depends on scope, so we don’t publish rates. After a discovery conversation you get a proposal with milestones, deliverables and an estimate — before you commit to anything. Many projects start with a well-scoped MVP and grow from there.
How long until I see something?
We ship in short iterations: you get versions you can test along the way, not a “big reveal” at the end. A well-scoped MVP is measured in months, not years.
Who owns the code and infrastructure?
You do. The repository, servers, domains and service accounts are in your name from day one. If you want to continue with another team, you leave with everything — no negotiation.
Do you work with our existing stack?
Yes. We pick technology to fit the problem, not the other way around — in production we run Symfony, NestJS, React, Astro, React Native, PostgreSQL, MySQL, MongoDB, Elasticsearch. We also take over existing systems, including ones other teams left behind.
How do you use AI in my project?
In two ways. In the product, when it makes sense: assistants on your data, structured extraction from voice or documents, recommendations. And in our own process, to ship faster — but every line of code is reviewed and tested by an engineer who is accountable for it.
Do you work with small companies or smaller projects?
Yes, if the project has a clear goal and someone who can decide. What matters isn’t the size of the company but how clearly the problem is defined.
Have a project? Tell us what you want to build.
Describe the context in a few lines. We reply within 1–2 business days — with good questions, not a pitch.
No commitment. The first call is a conversation about the problem, not a sales pitch.
What happens next
- 01 We reply within 1–2 business days, with concrete questions about the project.
- 02 A 30-minute call about context, goals and constraints.
- 03 You get a clear proposal: approach, milestones and an estimate.