SaaS platforms built to pass any enterprise audit.

True multitenancy, end-to-end observability, immutable traceability, accredited security, multi-cloud and data perimeter. The pillars that a large customer requires — and that very few Spanish SMEs can offer with certifications to back it up.

What enterprise means

"Enterprise" has a concrete technical definition.

It's not a marketing label. It's a set of properties that a large buyer verifies before signing. These are the properties we apply to everything we build.

01

True multitenancy, not simulated.

Physical or logical isolation per tenant as required by regulation or contract. Data, control plane and audit plane separated. When an enterprise customer asks how we isolate their data, we have a technical answer that holds up under follow-up questions too.

02

End-to-end observability.

Metrics, traces and logs from the first sprint, per tenant. SLOs defined with rigour. If it is not measured, it is not operated; and if it is not operated, it is not sustained 24/7.

03

Immutable traceability.

Every sensitive operation is logged with the granularity a DPO or regulated auditor expects. Who, what, when, on which data. Exportable and verifiable in an external audit.

04

ENS Nivel Alto security across the full cycle.

From development to production. ENS Nivel Alto is not a badge at the end — it is a condition that guides every technical decision from the first commit: signed pipelines, managed secrets, audited dependencies, traceable deployments.

05

Cloud-native multi-cloud.

Infrastructure as code portable across providers. Data residency where regulation or the client requires it. The cloud becomes an argument for flexibility, not dependence.

06

Data perimeter, not perimeter of trust.

Each service verifies who accesses it and from where, not whether they are 'inside the network'. Access to customer data is governed by verified identity and explicit, end-to-end auditable perimeter. No network backdoors, no legacy access that no one reviewed. The perimeter is designed, not assumed.

A step further

We go a step further than enterprise SaaS: we now deliver our solutions as Harness as a Service (HaaS).

We prepare the execution harness that will allow your LLM model to connect and interact directly with the software. The harness defines which model to use and how to interact with it.

"It is not marketing. It is a set of verifiable properties."
The foundation

A foundation that is not built in a single project.

Getting here requires continuous investment in certifications, tools and process discipline. It is the result of years of operating on the premise that rigour is not a cost — it is the value we deliver.

ENS Nivel Alto security across the full cycle. ISO 27001. ISO/IEC 33000. 100% remote team since 2019. Service-level agreements delivered daily on mission-critical systems for Spain's public health service since 1995.

It is an uncommon combination for a Spanish SME. It is what makes it possible for a large buyer to trust a provider our size. And it is the difference between a SaaS platform that can be signed off and one that stays in endless pilot.

The process

How we work.

Building enterprise SaaS requires a deliberate process. The path from idea to operated product has five phases — and the first, like all the others, we do seriously.

01

Technical discovery (1 to 3 weeks)

We understand the domain, the regulatory constraints, the target audience and the business model. We emerge with a documented reference architecture and a proposed build plan. If we see we do not fit at this point, we say so.

02

Enterprise skeleton build

Multitenancy, authentication, observability and traceability from day one. The skeleton is built before the features — because bolting these pillars on later is far more costly and the result is never the same.

03

Product iteration in short sprints

Continuous releases. Each release passes through the ISO/IEC 33000 quality chain: automated tests, code review, static security analysis, dependency verification.

04

Multi-cloud deployment and 24/7 operations

We operate the product as soon as it enters production. Real service-level agreements, monitored, auditable. Operations are our responsibility; new deployments can be yours.

05

Growth without rewrite

The product grows in functionality and in tenants without touching the foundation, because the foundation was designed for that from the beginning. It is what prevents the product's success from forcing you to rebuild it from scratch.

"The enterprise foundation is built at the beginning, not added afterwards."
In production

It is not theory.

We have maintained in production and under demanding service-level agreements platforms for Spanish public healthcare administration for decades. It is the best possible demonstration that we know how to build software that has to work and we know how to sustain it over time.

In recent years we have extended that same enterprise architecture to verticals outside healthcare. There are two SaaS platforms in advanced implementation phases in sectors other than healthcare, with closed implementations and signed contracts. We will tell you about them in detail when they are in production.

In the meantime, the pillars are the same. The processes are the same. The team is the same.

Technology

Technology we apply.

Every technology decision is connected to one of the pillars above. If a tool does not contribute to any of them, it is not part of the stack. And when a project requires technologies different from those we normally use, we adapt — what does not change is the criterion with which they are chosen.

Languages

.NET and Python, both as first option depending on context. .NET for services where strong typing, stable performance and tool maturity are priorities. Python for components focused on data, analytics and AI, where the scientific ecosystem has much to offer.

Serverless computing

Google Cloud Run as standard for new platforms. Containers without server management, autoscaling on demand, independent deployments per service. We work across Azure and Google Cloud, and infrastructure is designed to avoid vendor lock-in.

Persistence

Four engines depending on the problem to solve or project requirements:

  • SQL Server and PostgreSQL for relational transactional data.
  • Firestore for operational data at scale, low latency and flexible model.
  • BigQuery for the data warehouse — with more detail in Data, analytics and AI.
CI/CD
  • GitHub Actions in the most current projects.
  • Azure DevOps in legacy system pipelines that have been in production for years — changing what works in mission-critical systems without a clear reason is not a technical virtue.
Observability — tenancy-aware by design
  • OpenTelemetry as instrumentation standard — open, with no vendor dependency, portable across platforms.
  • Backend on Google Cloud Logging, Monitoring and Trace, consistent with the rest of the platform.
  • Every signal — log, metric, trace — tagged with tenant identifier. Isolation and querying by customer from the observability plane. It is not a later add-on; it is part of the design from the first commit.
Security and identity

Customer isolation and access control are assumed from the design, not added afterwards:

  • Authentication based on open standards (OAuth / OIDC), with no proprietary passwords or bespoke solutions.
  • Guaranteed isolation between customers: each customer's data is separated at platform level, not just at application level.
  • Fail-closed principle: when in doubt about a permission, the system denies rather than grants. Security is not an afterthought; it is a starting requirement.
"We choose with criterion, not with trend."

Do you have a SaaS product that needs serious engineering?

Initial conversations are at our expense and come with no obligation — to understand whether what you need aligns with how we work. And for you to see whether we fit before we talk budgets.