Applied AI product engineering — since 2018
We design, build, and integrate AI and computer vision for industry, biotech, and medical technology — from feasibility on your data to production on your hardware.
Services
One team across AI, software engineering, mathematical modeling, and hardware integration. You work directly with the engineers who build your system.
01
Detection, measurement, and inspection that hold up in real conditions — factory floors, labs, and clinics.
02
Language AI grounded in your documents and data, engineered so answers come with sources — not hallucinations.
03
AI connected to machines, sensors, and control systems — not just dashboards.
04
We make models run orders of magnitude faster with a fraction of the compute — ours, or the ones you already have in production.
05
Immersive simulation for industry — and functional demos that make complex systems easy to present, explain, and sell.
06
If it involves AI, cameras, sensors, or data in a real technical environment, we have probably built something close to it. Tell us what you are trying to do.
Start the conversation →Solutions
Most of our client work is confidential, so instead of project write-ups, here is how we actually approach each class of problem — method, architecture, and what you get.
Computer vision · Medical
Segmentation, measurement, and decision support built with research-grade rigor.
Computer vision · Industry
Detect defects, measure parts, and monitor processes with cameras your line can trust.
Computer vision · Earth observation
Detection and change monitoring from satellite and drone imagery, at scale.
RAG & LLM systems
Language AI over your manuals, standards, and reports — with answers that cite their sources.
Time series & operations
From sensor streams and operational data to early warnings and honest forecasts.
Computer vision · Life sciences
Counting, measuring, and classifying — hours of microscope work turned into minutes.
AR/VR & simulation
Simulate the system before you build it — and demo it so anyone understands it in minutes.
Optimization · Edge & embedded
The same model, orders of magnitude faster and leaner — on NVIDIA embedded systems, NPUs, and the hardware you already own.
How we work
Our method is simple to state: prove feasibility on your data before you commit to a build — then engineer the system into your operations.
We map your problem, data, and constraints. You leave with an honest read on feasibility — whether or not we end up working together.
Data audit, technical approach, a first working demo where the data allows, and a build / no-build recommendation with roadmap and budget. The fee is credited in full if we continue.
We engineer the system and integrate it with your workflows, hardware, and people — with acceptance criteria agreed up front.
Clients & products
GI builds AI systems for clients across biotech, medical diagnostics, and industry — in Spain and internationally. Much of this work is confidential; we share detailed references on request.
Biotechnology
Biotechnology for sustainable food production on Earth and in space. Eternal's space division won NASA's Deep Space Food Challenge.
Microview.ai
Medical diagnostics
Computer vision that accelerates complex disease diagnosis through advanced bloodwork analysis.
Automotive & mobility
The Aragon Automotive and Mobility Cluster: 300+ companies forming one of Southern Europe's largest industrial concentrations.
Trusted by teams in Spain, the UK, and beyond
Industries we work in
Products built by GI — try our AI live
Insights
How we think about the work — written by the people who do it, including our own peer-reviewed research.
About
Director
Lucas holds a PhD in Mathematics and Computer Science from the Universitat de Barcelona, specialized in deep learning for medical imaging, with peer-reviewed research in journals including Computer Methods and Programs in Biomedicine and Biomedical Signal Processing and Control. After 10+ years leading AI teams, Lucas directs GI's technical work from opportunity discovery and system architecture through to delivered products. Google Scholar →
Tech Lead
With more than 30 years leading high-level engineering and software projects, Nacho has built a career turning ambitious technical designs into systems that ship — and keep running. At GI he directs architecture, implementation, and deployment across client projects, bringing the discipline of large-scale engineering to every build: AI robust enough for real operations, from lab prototypes to production lines.
Recognition
Generative Intelligence engineered AI systems behind the food-production technology of Eternal's space division, Kernel Deltech, winner of NASA's Deep Space Food Challenge. GI was also an XPRIZE Wildfire finalist in the Space-Based Detection & Intelligence track.
FAQ
Usually less than teams fear, and almost never the amount they guess — in either direction. The honest answer depends on your problem and how variable your process is, which is exactly what the feasibility sprint establishes on your real data before you commit to anything.
A rapid prototype takes 2–4 weeks. First working versions of full systems typically land in 4–12 weeks depending on the solution — each solution page on this site states its typical range.
The feasibility sprint is a fixed fee, quoted on the intro call and credited in full if we continue to the build. Builds are milestone-based with acceptance criteria agreed up front, so you always know what you are paying for and what done means.
Yes, routinely — most of our client work is under NDA, which is why this site shows solution playbooks instead of project write-ups. We are comfortable working inside your confidentiality requirements.
Our default is that you own the deliverables built for your project. Ownership and licensing terms are agreed clearly in the engagement contract before work starts.
Yes — that is a specialty. We integrate with industrial cameras, sensors, GPUs at the edge, and PLC/SCADA systems over Modbus TCP/IP and other industrial protocols.
Get in touch
A 30-minute call is enough to tell you whether AI can help — and what it would take.
Book a free feasibility call
