We help organisations identify, scope, design, and deliver practical AI projects around real workflows, data, users, and operating constraints.
ASTROLAB is an integral part of the Portuguese Network of Test Beds. A laboratory of GROUND CAPITAL, it supports companies at all stages of AI project development. is an integral part of the Portuguese Network of Test Beds. A laboratory of GROUND CAPITAL, it supports companies at all stages of AI project development.
The Execution Gap
Most organisations no longer lack access to AI tools. They lack the execution architecture required to choose the right use cases, design the right workflows, coordinate the right delivery, govern the risks, and turn AI into adopted capability.
What We Do
We identify, scope, design, deliver, and operationalise AI projects around real workflows. Less pilot theatre, more usable capability.
Use-case identification, workflow analysis, opportunity scoring, and project scoping. We help you choose the AI projects that are valuable, feasible, and adoptable.
AI infrastructure, solution design, iterative development, and stakeholder checkpoints. Production-grade systems built around real data, users, and constraints.
QA, governance, bias review, user acceptance testing, deployment, team training, and operational handover. The project becomes adopted capability, not a demo.
How It Works
Every engagement follows a structured execution architecture. Here is what happens and what you get.
Phase 1
Use-case audit, stakeholder interviews, data landscape review, workflow mapping.
Deliverable: Opportunity Map
Phase 2
Selected use cases defined as executable projects with success criteria, constraints, and dependencies.
Deliverable: Project Requirements
Phase 3
Architecture, model selection, data pipeline design, integration plan, governance framework.
Deliverable: Technical Design + Prototype
Phase 4
AI development, infrastructure provisioning, iterative delivery with stakeholder checkpoints.
Deliverable: Working System
Phase 5
QA, performance testing, bias/fairness review, security audit, user acceptance testing.
Deliverable: Validation Report
Phase 6
Production deployment, team training, documentation, monitoring setup, post-launch support.
Deliverable: Deployed System + Handover
Who It's For
AstroLab works with organisations that have AI ambitions but need execution architecture to reach production.
"We need AI to be a strategic capability, not a series of disconnected experiments. I need to know which opportunities matter and how fast we can move."
Book an AI opportunity call →"Our workflows need improvement but I need AI designed around how teams actually work. Not around a demo that nobody adopts."
Map a workflow opportunity →"We have engineering capacity but need specialised AI infrastructure, model integration, and production-grade architecture."
Discuss technical requirements →"I have budget and mandate for AI pilots, but I need a delivery partner who can take them from concept to production."
Scope a pilot project →Transparency
We are not the right fit if you need: strategy advice without implementation, a SaaS product subscription, ongoing managed services (we deliver and hand over), or AI training courses. We are a delivery partner. We build systems that work.
Selected Work
Real projects, real organisations, real outcomes. Each started with an AI ambition and ended with an implemented system.
Web3 / Blockchain
AI-assisted identity and smart-contract prototype for Web3 infrastructure. Designed blockchain architecture with intelligent agent support and developed a prototype for self-sovereign identity management.
IT / Call Centre
Portuguese voice AI agent integrated with Odoo call-centre workflows. The AI agent makes calls and holds conversations in European Portuguese with 98% human-voice similarity.
Sports Technology
Computer-vision shot classification for padel video analytics. Trained and validated a model to automatically classify shot types from existing court cameras using real match data.
Travel / Content
AI content generation workflow for travel creators. Developed a text generation model tailored to tourism content and integrated multimodal editing tools for text and images.
Legal Tech
Legal audio transcription and RAG chatbot for case analysis. Speech-to-text pipeline using Azure Whisper with noise suppression, followed by semantic search via a legal context chatbot.
Technology Readiness
We take AI projects from proof-of-concept to operational demonstration, advancing Technology Readiness Levels through structured delivery.
Technology Readiness Levels (TRL) are a 9-level scale originally developed by NASA and adopted by the European Commission to measure how mature a technology is. The scale runs from basic research (TRL 1) to a fully proven system in operation (TRL 9).
For AI projects, TRL provides a shared language between innovators, investors, and delivery teams to describe exactly where a project stands and what evidence exists for its viability.
AstroLab typically accelerates projects from TRL 3–4 to TRL 6–7. Our delivered pilots have achieved TRL 5 through TRL 7, with functional prototypes demonstrated in relevant and operational environments. Our delivered pilots have achieved TRL 5 through TRL 7, with functional prototypes demonstrated in relevant and operational environments.
Infrastructure
Dedicated AI infrastructure, compute allocation, and development environment. Your project runs on production-grade systems from day one.
Dedicated GPU resources for training, fine-tuning, and inference. Scaled to your project requirements without upfront hardware investment.
Access to Azure AI Foundry, OpenAI, Anthropic, and open-source models. We select and integrate the right model for your use case.
Secure data ingestion, transformation, and storage. GDPR-compliant pipelines with audit trails and access controls built in.
Real-time performance tracking, drift detection, cost monitoring, and alerting. Know how your AI systems are performing at all times.
Ask Astro
Get Started
Share your project context. We review every submission personally and reply within 5 business days.
Share your project context. We review within 5 business days and let you know whether there is a fit.
Discuss Your AI ProjectSupported By
Rede Nacional de Test Beds — Component 16: Empresas 4.0