One partner forsoftware engineeringsoftware engineeringand compliance.
3
Disciplines, One Team
Software engineering, AI deployment & digital law — integrated from day one.
100%
Client IP Ownership
Every line of code we write belongs to you. No licensing, no lock-in.
EU-Ready
Compliance Coverage
GDPR · EU AI Act · NIS2 — implemented as working controls, not policy documents.
End-to-End
Delivery Model
From architecture and scoping through to production deployment and ongoing support.
Our Practice Areas
Three disciplines.
One integrated engagement.
One firm covering software, AI, and digital law. One point of accountability instead of three vendors.
Software Engineering & Cloud
We design and ship production-grade software, from early-stage platforms to enterprise systems, with architecture that holds up under real operational load. No shortcuts that become problems later.
AI & Intelligent Automation
Most AI projects fail before reaching production. We start with the business problem, validate data readiness, build iteratively, and deliver systems your team can operate and trust, not just demonstrate.
Digital Law & Compliance
GDPR, the EU AI Act, and NIS2 create binding technical and legal obligations. We translate those requirements into working controls and documentation, implemented alongside the code, not reviewed after.
An Integrated Model
Technology, AI, and law designed together from day one.
Sequential workstreams create gaps. Systems get built and then audited. Expensive rework follows. Legal frameworks get documented but never implemented. Our model puts engineers, AI specialists, and compliance consultants on the same engagement from the beginning.
Architecture, build, deployment
Models, pipelines, evaluation
Controls, documentation, governance
AI system with built-in regulatory compliance
An LLM-powered document assistant needs to process client data under GDPR. We build the retrieval architecture and simultaneously implement the DPIA, data minimisation controls, and retention policies — so the system is compliant at launch, not after an audit flags it.
Deliverables
- DPIA completed
- Consent flows implemented
- Audit log infrastructure
SaaS platform with embedded legal architecture
A B2B SaaS product requires standard customer agreements, data processing addenda, and a clear liability framework for enterprise buyers. We build the product and the contractual structure in parallel. No expensive retrofit when the first enterprise customer asks for a DPA.
Deliverables
- DPA template ready at launch
- GDPR-compliant data flows
- Enterprise-ready MSA
Legacy modernisation with risk-aware design
Moving a critical system off a monolith to microservices. We scope the migration with NIS2 security requirements, vendor risk assessments, and regulatory continuity obligations factored into the architecture from the start, not discovered during a post-launch audit.
Deliverables
- NIS2 controls mapped
- Vendor risk assessed
- Zero-downtime migration plan
What We Deliver
Selected capabilities across our practice areas.
Enterprise Knowledge Systems
LLM-powered search and retrieval across internal documentation, contracts, and knowledge bases. Reduces research time and surfaces institutional knowledge across teams — without exposing sensitive data to public models.
SaaS & Enterprise Platforms
Full-stack web platforms built on scalable cloud infrastructure. From MVP to multi-tenant enterprise systems — with authentication, billing, role management, and the observability your operations team needs.
Compliance Infrastructure
Technical implementation of GDPR, AI Act, and NIS2 requirements: data mapping, DPIA tooling, incident response workflows, consent management, and audit trail infrastructure built to withstand regulatory review.
Sectors
Where technology, data, and compliance intersect.
We work across regulated sectors where engineering decisions carry legal and operational consequences.
Financial Services & Fintech
Regulated platforms, payment infrastructure, and compliance-sensitive data environments. We navigate DORA, PSD2, and GDPR requirements alongside the engineering work.
Legal & Professional Services
Law firms and advisory organisations digitising their operations, automating document workflows, and building client-facing platforms that meet confidentiality obligations.
Healthcare & Life Sciences
Privacy-sensitive systems with strict data residency, access control, and audit requirements. We design for clinical data workflows without compromising on security or compliance.
SaaS & Technology Companies
Software companies embedding AI into existing products, scaling their infrastructure, or navigating the compliance requirements of enterprise buyers and regulated markets.
Management Consulting & Advisory
Consulting firms building proprietary tooling, knowledge management systems, and client-facing analytics platforms with data governance that meets enterprise client standards.
Enterprise & Scale-ups
Established organisations modernising legacy systems, implementing AI at scale, and preparing for regulatory frameworks that will affect every organisation processing data in the EU.
Client Perspectives
What clients say about working with us
“We needed someone who could build the AI system and simultaneously tell us whether it was GDPR-compliant. mytaconsultancy did both. That combination saved us at least three months of back-and-forth between separate vendors — and produced a system we could put in front of our data protection officer with confidence.”
Stefan Bergmann
CTO · Finova Financial Technologies
“The EU AI Act requirements were genuinely complex for our use case. mytaconsultancy gave us clear technical documentation and a governance framework we could put in front of regulators with confidence.”
Marco Schiavoni
VP Engineering · Legalytics AG
Common Questions
Everything you need to know before getting started.
Don’t see your question here? Book a call — we’re happy to answer directly.
Both. For startups, we focus on getting an MVP to market quickly with architecture that won't need to be rebuilt when you scale. For established organisations, we take on complex migration, modernisation, and AI integration projects. Engagement size and structure adapts to your stage.
AI projects require upfront validation that a model approach is technically feasible and that the data exists to support it. We run a scoped assessment before any build begins — covering data readiness, model selection, integration complexity, and operational requirements. We only proceed when the fundamentals are sound.
It means translating legal obligations into working systems and processes. For example: a GDPR compliance engagement produces a data map, updated processor agreements, a consent management implementation, and a documented DPIA process — not just a policy document. Where regulated legal advice is required, we engage qualified legal partners.
Yes. Most of our AI engagements involve integrating LLM capabilities, retrieval systems, or automation pipelines into existing applications via APIs. A complete rebuild is rarely necessary and we will tell you if it is.
We operate under NDAs and data processing agreements as standard. For sensitive projects, we can work within your infrastructure rather than exposing data to external systems. Deployment options — cloud, private cloud, or on-premises — are assessed at project scoping.
Engagements are typically structured as fixed-scope projects (for well-defined deliverables), time-and-materials retainers (for ongoing development or advisory work), or phased delivery with defined milestones. We provide a written proposal and scope before any work begins.
Yes. We offer structured maintenance and support arrangements that cover monitoring, updates, security patching, and feature additions. These are defined in a separate agreement rather than assumed to be included in the initial project.
Book a consultation call. We will ask about your business context, the problem you are trying to solve, your current technical environment, and your timeline. From that conversation we produce a scoped proposal — usually within five working days.
We’ll tell you honestly whether we can help, and what a realistic engagement looks like.
Whether you have a defined brief or just a problem that needs solving — we will tell you honestly whether we can help, and what a realistic engagement looks like.