You will get a straight feasibility verdict on your AI idea, with data and costs

Lucas G.Status: Offline
Lucas G.

Let a pro handle the details

Buy Other AI & Machine Learning services from Lucas, priced and ready to go.
Lucas G.Status: Offline
Lucas G.

Let a pro handle the details

Buy Other AI & Machine Learning services from Lucas, priced and ready to go.

Project details

Most AI projects fail long before deployment - usually because nobody checked whether the idea was buildable with the data available. This audit gives you that answer before you commit a budget.

I'm Lucas Gago, PhD in Artificial Intelligence, with 8 years building computer vision systems that actually shipped: in hospitals, on factory hardware, and in a NASA challenge-winning autonomous system. 15+ peer-reviewed publications, 3 international patents, 1st place in a MICCAI 2024 challenge.

What makes this different from an opinion: I run your actual data through baseline models before answering. You get a clear verdict, the accuracy you can realistically expect, how much labelled data you need, the recommended approach, a timeline and an honest cost estimate - plus the risks nobody mentions until month three.

If your idea isn't feasible, I'll tell you exactly that and why. That answer is worth more than the fee, and it's the one most vendors won't give you, because they'd rather sell you the build.

Send your data and your problem. You'll have a straight answer in days, not weeks.
AI Development Type
Deep Learning, Model Tuning
AI Tools
Keras, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$490
Standard
$1,200
Advanced
$2,400
Delivery Time 3 days 5 days 10 days
Number of Revisions
122
AI Model Integration
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Detailed Code Comments
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Knowledge Graph
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Model Documentation
Ontology
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Source Code
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Taxonomy
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Optional add-ons You can add these on the next page.
Fast Delivery
+$200 - $700
Additional Revision
+$200

Frequently asked questions

Lucas G.Status: Offline

About Lucas

Lucas G.Status: Offline
AI & Computer Vision PhD | Medical Imaging | 2x NASA Challenge Winner
Mijas, Spain - 2:50 pm local time
PhD in AI applied to medicine. Two-time NASA Centennial Challenge winner. I build computer-vision systems that actually ship — in hospitals, on satellites, and on $100 embedded boards.

Most AI projects fail between the demo and the real world. My work lives on the other side of that gap:

• Shrank a state-of-the-art 3D-vision model ~100× to run at 35 FPS on a low-power wearable for blind users — and helped the client win a €650K European innovation grant on the back of it.
• 15+ peer-reviewed publications in medical imaging AI (Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine, MICCAI venues). 1st place, MICCAI Glaucoma Assessment Challenge 2024.
• 3 international patents (AI imaging systems, WIPO/EPO).
• Winner, NASA Deep Space Food Challenge
• Finalist in two XPRIZE competitions, including space-based wildfire detection.
• Founder of an AI consultancy running since 2018: clients in medical imaging, veterinary diagnostics, biotech, energy and automotive. Products I built are licensed by the world leader in veterinary postgraduate training.

WHAT I DO FOR CLIENTS

Medical & scientific imaging AI — segmentation, detection, classification, quality control on ultrasound, MRI, CT, microscopy and fundus images. From feasibility study to validated model.
Edge AI & optimization — make your model small and fast enough for real hardware: Jetson, embedded, real-time. Quantization, distillation, TensorRT.
Rapid AI product builds — a production-grade tool (auth, billing, deployment included) in 30 days at a fixed price.

HOW I WORK

Senior-only: you talk to me, and I do the work. Fixed scopes, honest feasibility calls. If AI can't solve your problem, I'll tell you in the first conversation and save you the budget.

Send me your problem and a sample of your data; I'll tell you within 48h whether it's feasible, how long it takes, and what it costs.

Steps for completing your project

After purchasing the project, send requirements so Lucas can start the project.

Delivery time starts when Lucas receives requirements from you.

Lucas works on your project following the steps below.

Revisions may occur after the delivery date.

Kick-off: I review your data and confirm scope within 24 hours

Within 24 hours of receiving your data I confirm what I can assess, flag anything missing, and agree the exact questions the audit will answer.

Technical feasibility analysis against state of the art

I benchmark your problem against published research and production systems solving something similar, and identify which approaches are realistic for your data and constraints.

Review the work, release payment, and leave feedback to Lucas.