[01 // DATA OPS]
EXPERT DATA OPERATIONS
- Expert training data for frontier AI models
- Annotation programs with measurable quality bars
- Human-in-the-loop, run with engineering rigor
AI Engineering · Data · Product & UX Design
PRODUCTION AI,
ENGINEERED
END TO END.
- AI products, agents, and expert data — production, not demos
- Product, UX, and design in-house — no hand-offs
- Senior-led — Chicago × Tokyo, every time zone
The Idea
Your AI product idea
Users & workflow
Data you already have
The Build
Senior-built, end to end
LLM systems · Agents · Data ops
In Production
Shipped product
Evaluated & monitored
Scales with usage
SYS.01 // How We Work
Chicago 41.8781° N · 87.6298° W
Tokyo 35.6762° N · 139.6503° E
Bases
Chicago × Tokyo
Practice
AI Engineering
Focus
Production Systems
Delivery
Senior-Led
[01] // Services
WHAT WE BUILD
Five practices. One standard: it runs in production.
Same surface, second pass — how did I do?
Cleaner arcs, no missed panels. Pose score up from 7.5 to 9.1 — streak risk gone.
Pose Score · Session Progress
[02 // PRODUCTS]
AI PRODUCTS, AGENTS & COPILOTS
- AI products built end to end — concept to shipped
- Agents and copilots grounded in your workflow
- Voice, vision, and LLM interfaces
[03 // ENGINEERING]
AI ENGINEERING SERVICES
- LLM integration, fine-tuning, evaluation
- Latency, cost, reliability engineered in
- Senior engineers — embedded, never handed off
[04 // QUALITY]
EVALUATION & QUALITY SYSTEMS
- Golden datasets and automated scoring
- Regression gates before every release
- Quality bars your team can audit
[05 // FRACTIONAL]
FRACTIONAL CPO / CTO & ADVISORY
- Fractional CPO — product strategy, roadmaps, team leadership
- Fractional CTO — architecture, AI strategy, build-vs-buy
- Product & UX design — concept to interface
[02] // Approach
FROM SIGNAL TO SYSTEM
Four phases. Working software early. Outcomes measured — not activity.
01
DISCOVER
- Data, workflow, and constraint audit
- Highest-ROI use cases, ranked and costed
02
ARCHITECT
- Reference architecture agreed up front
- Security, evaluation, and quality designed in
03
BUILD
- Short cycles, senior-led
- Working software, demoed live from week one
04
OPERATIONALIZE
- Evaluation, monitoring, cost controls
- Team handover — we stay until it's boring
Senior-Led
The people you meet are the people who build.
Production First
Systems that run daily beat demos that peak once.
Measured
Quality bars and cost telemetry from day one.
Auditable
Quality bars and audit trails on every deliverable.
[03] // Capabilities
THE STACK WE COMMAND
Nine disciplines. Deep, current, vendor-neutral.
C.01
LLM Systems & Fine-Tuning
Domain-adapted models, structured output.
C.02
Retrieval & Vector Search
RAG architectures with grounding discipline.
C.03
Agentic Workflows
Tool-using agents — guardrails and audit trails built in.
C.04
Annotation Programs
Expert labeling at scale, QA built in.
C.05
Human-in-the-Loop Systems
Expert review inside live AI workflows.
C.06
Synthetic Data
Coverage where real data is scarce or sensitive.
C.07
MLOps & Reliability
Latency, cost, and uptime — engineered in.
C.08
Voice & Vision Interfaces
Multimodal products — speech, pose, image.
C.09
Product & UX Design
Research, flows, and interfaces for the systems we build.
[04] // Leadership
THE PARTNERSHIP
Two principals. Two bases. Every engagement, directly.
Founder · Chief Executive Officer
Chicago, USA
ERNESTO
RODRIGUEZ
- Founded Aladdin Studio to close the gap between AI ambition and AI that ships
- Strategy, product, and UX — roadmaps to interfaces
- Chicago base — US delivery, Central-time coverage
Chief Technology Officer
Tokyo, Japan
AKIRA
NAKAMURA
- Owns technical architecture and engineering execution
- Builds the ML systems, pipelines, and agents
- Tokyo base — APAC coverage, follow-the-sun with Chicago
[05] // Contact
START A CONVERSATION
Start with the problem. We reply with a plan.
Direct Email
Firm
Aladdin Studio LLC
Bases
Chicago, USA · Tokyo, Japan
Engagements
Project-based & advisory retainers