Skip to content

Services 07 of 07 Custom Software

Custom software for complex systems

Data-intensive engineering: crawlers, search engines, massive-scale storage and platforms with no off-the-shelf category. We don't build websites or admin systems.

Who this is for

Real complexity has specific shapes.

Legacy that cannot simply be replaced

Systems of record that run the business and predate everyone who maintains them. We extend and integrate them without stopping the line.

Data-intensive platforms

Billions of records, terabytes of throughput, latency budgets in seconds. The engineering problems where generic stacks fall over.

Products with no existing category

When there is nothing to buy because nobody has built it yet. That is most of our track record.

What we build

Data-intensive application development

Platforms whose whole point is the data: ingestion, processing, storage and query at volumes where architecture decides survival. We designed telecom call-record storage handling carrier-scale volume and national directory platforms serving four countries.

Custom web crawlers and price intelligence

Web-scale crawling engineered for the sites that break off-the-shelf scrapers, feeding deduplicated, structured data into your pricing and market decisions. We built the price intelligence crawlers behind MercadoLibre, OLX, Comparar.com and Dridco.

Search engines and matching systems

Custom search where relevance is the product: phonetic matching, entity resolution, geographic search. When Elasticsearch out of the box is not enough, we build the layer that makes it right for your domain.

Massive-scale storage and data platforms

Storage architectures for data that never stops arriving: call detail records, crawl corpora, geospatial event streams. Designed for the write load of today and the query patterns of five years from now.

The method

Five phases, every engagement. Measurable value, or we tell you early.

How we work →
  1. Discovery

    We map the process, the constraint and the money attached to it.

  2. Data Audit

    We test whether your data can carry the model before promising results.

  3. Proof of Concept

    A pilot built against a success metric agreed before we write code.

  4. Production

    Deployed into your stack with your team, not handed off as slides.

  5. Monitoring

    Models drift. We keep watching them after launch, not just at delivery.

Straight answers

The questions buyers actually ask, answered with numbers where they exist.

When does custom software make sense versus off-the-shelf?

When the process is your competitive advantage, or when nothing on the market fits: unusual data volumes, unusual constraints, a product with no existing category. If a SaaS covers 90 percent of your need, buy it; we have told clients exactly that in Discovery, and it is why the ones who build with us trust the recommendation.

How much does custom software development cost?

Complex systems are scoped in phases, so you never commit the full budget on a guess. Discovery and the data audit produce a fixed estimate for the first production slice, and each subsequent phase is priced on what the previous one proved.

How long does it take to build a complex custom system?

The first production slice ships in months, not years: a working subsystem carrying real load, not a prototype. Full platforms are delivered in stages, each one usable, so value starts before the roadmap ends.

Who owns the source code and IP?

You do, from day one. Full repository, documentation and infrastructure-as-code live in accounts you control. There is no lock-in by design: any competent team can take over what we build, which is precisely why clients stay.

How do you integrate with legacy systems without disrupting operations?

Incrementally: read-only integrations first, then parallel runs where the new system shadows the old one until the outputs match, then cutover. We have spent 25+ years working alongside telecom-grade legacy systems; not breaking production is the first requirement, not an aspiration.

Bring us the bottleneck.

One session with a senior engineer. We'll tell you whether AI pays for it, and what it takes to ship.