2027 ambition
A European home for AI services.
Become Europe’s leading AI and Model-as-a-Service platform: straightforward deployment and a trusted place for agentic workflows.
The company
We engineer systems to break the AI adoption barrier.
Models, infrastructure, deployment, data and agentic orchestration belong together. We bring them into one platform for dependable production systems.
Built in Europe, with privacy, compliance requirements and openness shaping the architecture.

Our mission
Our mission is to turn hours of repetitive work into seconds of intelligent automation.
We bring fragmented AI tools into reproducible workflows, unifying models, data and agentic orchestration. The aim is consistent outcomes as the work grows.
Socaity is European deep-tech from Palma de Mallorca. A lean, multinational team works remotely across the EU to make intelligent automation useful, trustworthy and accessible.
Our culture brings German engineering discipline together with Spanish life, craft and community. We value clear thinking, direct ownership, freedom with responsibility and knowledge that compounds.
2027 ambition
Become Europe’s leading AI and Model-as-a-Service platform: straightforward deployment and a trusted place for agentic workflows.
2028 vision
Our vision is for millions of developers, SMEs and creators to work with trusted agents. Routine knowledge work should be transparent, reproducible and driven by outcomes.
What we build
Models, data, deployment and agentic orchestration come together in repeatable workflows.
The model catalog supplies the models. Workflow builders connect the steps. Agents take on roles, connectors bring tools, hosting runs services, and the library keeps reusable work close.
See the business sideYour process, connected.
Choose the pieces your service needs. Keep the decisions with your team.
Who this is for
Developers
Build with standards, predictable APIs and price-per-use infrastructure. Keep the path from prototype to production direct, portable and practical.
SMEs
Bring European infrastructure, reproducible workflows and support together with predictable pricing. Move from development toward market without first building an internal AI department. Keep privacy and compliance requirements in view as you go.
Creators
Translate videos, generate reels and adapt images into finished assets. Keep control over the workflow with fewer tool subscriptions and more independence.
Our values
Progress starts by questioning assumptions. We challenge vendor lock-in, opaque pricing, artificial complexity and closed ecosystems. Innovation should replace broken systems with better ones.
AI grew from work shared by researchers and open-source communities. We have a responsibility to strengthen that commons through open standards, public libraries and applied research.
AI should move people from repetition toward judgment, creativity, care and novelty. Automating structured work should leave more attention for decisions that need a person.
Advanced AI should be accessible beyond the largest organizations. Imagination and execution should determine opportunity, rather than the size of an infrastructure budget.
Users should see how systems work, where data is processed, which models run and what execution costs. Open standards and reproducibility guide how we engineer that visibility.
Good decisions need evidence. We use measurement, analytics and clear feedback loops so teams can improve workflows by looking at outcomes.
Values in practice
Values matter when they change how systems are built, operated and improved.
Openness
We publish key libraries and choose licenses that respect builders, maintainers and the commons. Public work helps trust and knowledge grow together.
Autonomy
Users should understand and control models, data, workflows and costs. We work to reduce dependence on a single vendor and keep switching practical.
Accessibility
Developers, SMEs and creators should be able to turn fragmented AI steps into guided, repeatable workflows. The goal is clear outcomes with less specialist overhead.
Transparency
Customers should understand processing locations, participating models and the safeguards that apply. Privacy, compliance requirements and explainable operations belong in system design.
Reciprocity
We document decisions, patterns and domain knowledge so people and agents can reason from a shared source. Developer tools, community work and applied research reinforce each other.
How we work
Ship working software, review what happened and iterate. Keep meetings and planning useful. The product is how we make progress visible.
Engineers work across infrastructure and product. Own a domain end to end, with direct access to the people making product decisions.
Publish key work, care about maintainers and users, and choose fair licenses. Community belongs inside the product, not alongside it.
Treat knowledge as infrastructure. Write strategy, processes and domain decisions clearly so people and AI agents can retrieve them, reason and act consistently.
Distributed work gives people room to do their best work. Combine autonomy with accountability, high standards and respect for energy as well as output.
The team
Engineering, research and commercial experience, working remotely across the EU from a home base in Palma.

CEO & Founder
Matthias holds an MSc in Bioinformatics and brings deep machine-learning expertise. He formerly led AI and Innovation at Bizerba, delivering enterprise projects across markets. At Socaity he leads company direction, product strategy and system architecture. Founder and majority shareholder.

Senior Full-Stack Engineer · PhD researcher
Carlos is completing a PhD in intelligent agents and distributed AI systems. He leads backend infrastructure, orchestration and SPAINE core development. His research directly informs the platform architecture.

Marketing Engineer
Luis leads commercial strategy, growth and market positioning. His experience spans AI-driven marketing automation and demand generation. He connects technical platform capabilities with the needs of the market.

Academic Collaborator
Natalia researches proactive conversational agents for SME applications. Her thesis work supports the conceptual and technical foundation of SPAINE.
Our story
The ideas, people and product milestones behind Socaity, followed by the work on our roadmap.
May 2025
Socaity S.L. registered in Palma de Mallorca. A machine learning engineer decides to build the infrastructure layer AI was missing in Europe.
Milestone
July 2025
The first working system is deployed. Early traction and lessons shape the focus on reliable, open and cost-effective AI, with privacy and compliance requirements in view.
Milestone
December 2025
An intelligent-agent researcher and a marketing engineer with enterprise experience join. The team takes shape around a shared conviction.
Milestone
February 2026
The Spine of Agentic AI takes architectural form: a closed-loop planner, executor and validator for reproducible, multi-model workflows from natural language.
Milestone
22 April 2026
Socaity S.L. acquires Empresa Emergente status under Spain’s Ley 28/2022. The Palma registry entry is published on 21 May 2026.
Registry record
Read the registry entryMay 2026
The Model-as-a-Service platform and deployment layer relaunch, focused on multi-cloud routing, active-usage billing and European infrastructure.
Milestone
Roadmap
MCP-native integrations connect agentic workflows to the systems businesses already run. Privacy and compliance requirements remain part of that work.
Planned
December 2026
A planned seed round would support the next phase of European AI infrastructure. Contact us to discuss the company’s next stage.
Planned
Investor inquiryMay 2027
A planned public alpha of the Spine of Agentic AI, with multi-model orchestration, validated workflows and a no-code entry point.
Planned
Community and partners
Companies, independent creators and developers across Europe bring ideas into production AI.
StudioMeyer builds agentic AI for medium-sized businesses, connecting company data, bookings and services through conversational systems. Its work with Socaity centres on technical depth, cost-effective infrastructure and privacy-conscious architecture.
Socaity and Mobile Function work on AI for DACH businesses, with EU requirements and reduced vendor dependence as design priorities.
Individuals and creators
Social media content flow for a private medical practice, deployed and in active use.
Vendor-independent AI virtual try-on with automated Instagram reel generation for style consulting.
Multi-agent orchestration across regulation, sustainability, and architecture for hospitality development.
Open-source work
Explore our public libraries, read the source and build on the work under each repository’s published licence.
Build with us
Bring a process, a technical question or a wish to help build European AI infrastructure. We would like to hear it.