Custom AI / RAG & Retrieval
When your problem doesn’t fit an off-the-shelf tool, we build the AI system that does — RAG, embeddings, retrieval, and evaluation engineered for your data and shipped to production.
The valuable problems rarely fit a SaaS checkbox
The AI use cases that create real advantage are specific to your data, your domain, and your systems. That calls for engineering — retrieval over your knowledge, models evaluated on your tasks, deployed and maintained like the production software it is.
Retrieval is the hard part
Useful AI over your knowledge lives or dies on how well you retrieve, not the prompt.
Evaluated on your tasks
Generic benchmarks don’t tell you if it works for you; task-specific evals do.
Built to be maintained
A one-off script is a liability; we ship systems you can run and evolve.
An AI-engineering studio, on your problem
We build RAG, embeddings, and retrieval systems for a living. We bring that same discipline to your bespoke use case — designing the retrieval, evaluating on your tasks, and deploying a system your team can operate. It’s the engine behind our own products, including GEO.
RAG & Retrieval
Retrieval architectures that make your knowledge usable and accurate.
Embeddings & Search
Semantic search and similarity tuned to your domain.
Task-Specific Evaluation
Eval harnesses that measure quality on your problem, not a generic leaderboard.
Model Selection & Fine-Tuning
The right model for the job — and adaptation only where it earns its keep.
Production Engineering
Monitoring, cost control, and reliability, not a notebook thrown over the wall.
Systems Integration
Deployed into your stack with the interfaces your team needs.
What you get
A real solution
Built for your problem, not bent around someone else’s product.
Durable advantage
Capabilities competitors can’t buy off a shelf.
Grounded and accurate
Retrieval and evaluation keep outputs trustworthy.
Yours to run
A maintainable system with the docs and handover to operate it.
Cost-aware
Engineered so it’s affordable at production scale.
Extensible
A foundation you can build the next use case on.
Recently shipped
Real, in-production work. Clients are described by sector and scale, per NDA — we don't publish numbers we can't stand behind.
GEO — our AI-visibility product — runs on the retrieval, embeddings, and evaluation pipeline we build for clients. We use this stack on ourselves.
A retrieval- and caching-heavy document classifier taken to a ≥95% accuracy target and production in 8 weeks.
Have a problem no product solves?
How we work
Feasibility in weeks, production in a quarter — not a nine-month science project.
Step 1: Feasibility
Frame the problem, assess the data, and prove it’s buildable and worth building.
Step 2: Build & Evaluate
Engineer retrieval and models, measured against task-specific evals.
Step 3: Deploy
Ship to production with monitoring, cost controls, and integration.
Step 4: Operate & Handover
Run it, improve it, and hand your team the keys and the docs.
Let's Start Your AI Journey
Ready to transform your business with AI? Get in touch with our experts for a free consultation.
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Location
Sheridan, WY, USA • Barcelona, Spain • Lisbon, Portugal
Why Choose CONE RED?
- AI R&D lab & venture builder — production systems, not slideware
- Feasibility in 6 weeks, production in ~90 days
- Accuracy measured and evaluated — never invented or guaranteed
- Real engagements across financial services, healthcare & retail
- End-to-end support from strategy to deployment
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