Fractional AI Team
Senior AI engineering on demand — RAG, agents, and evals talent you can’t hire fast enough, embedded in your team for a fraction of the cost.
The problem
The AI engineers who can design RAG, agent workflows, and evaluation command $180–350k and months to hire. You need that capability now, on real work, without a permanent headcount bet.
What it includes
The capabilities we build into this solution — engineered for production, not a demo.
Embedded engineers
Senior AI engineers working inside your team and repos.
RAG & agent design
The architecture patterns that make AI products actually work.
Evaluation & quality
Set up the evals that keep outputs trustworthy.
Production readiness
Monitoring, cost control, and reliability, not notebooks.
Fractional & flexible
Scale up or down as your roadmap changes — no lock-in.
Upskilling
We leave your team stronger, not dependent.
How we'd build it
The same method behind everything we ship: de-risked, measured, and in production in one quarter.
Feasibility
We validate the use case on your real data, define the accuracy bar and ROI, and give you an honest go/no-go — usually in weeks.
Build & evaluate
We engineer the system and score it against a labelled set until it clears the bar — quality is a measured number, not a promise.
Deploy
We ship to production, integrated with your systems and behind the right human-approval gates, with monitoring from day one.
Operate & improve
We watch it in production, handle drift, and expand scope as trust builds — feasibility in 6 weeks, production in ~90 days.
What you get
- Senior AI engineering embedded in your team
- Production-grade RAG, agents, and evaluation
- Flexible capacity without a permanent hire
- A team that’s stronger after we leave
Production AI we've shipped
We'd build your solution with the same discipline behind these real, in-production engagements — described by sector under NDA.
A production document classifier — 5,000+ documents/month, built to a ≥95% accuracy target and live in 8 weeks.
Read the case studyBank-statement automation across 21 banks with a measured 0.24% transaction-direction error rate.
Read the case studyAI-at-POS recommendations running against live in-store transactions across every location.
Read the case studyWant to scope Fractional AI Team?
Tell us the use case. We'll come back with a feasibility view and an honest go/no-go — a working prototype in about six weeks.
Book a feasibility callLet'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
Barcelona, Spain • Lisbon, Portugal • Sheridan, WY, USA (incorporation)
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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