[01 // PLATFORMS]
DATA PLATFORM MODERNIZATION
- Lakehouse architecture on your existing cloud
- Pipelines rebuilt for reliability and lineage
- Incremental migration — no big-bang cutover
AI Engineering · Data · Product & UX Design
PRODUCTION AI,
ENGINEERED
END TO END.
- AI systems, data platforms, agents — production, not demos
- Product, UX, and design in-house — no hand-offs
- Senior-led — Chicago × Tokyo, every time zone
Sources
ERP · CRM
Databases
Documents
Semantic Layer
One definition of every metric
Governed · Lineage-tracked
Answers
AI Chat
Agents
BI & Reports
SYS.01 // How It Works
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.
Why did Midwest margins dip in Q3?
Freight surcharges rose 18% while contract rates lagged a quarter. Three lanes account for 71% of the dip.
Source: Semantic Layer · Audited · Cited
[02 // INTELLIGENCE]
AI CHAT, AGENTS & SEMANTIC LAYERS
- Chat grounded in your data — not the open web
- Agents that act with approvals and audit trails
- Answers leadership can cite
[03 // ENGINEERING]
AI ENGINEERING SERVICES
- LLM integration, fine-tuning, evaluation
- Latency, cost, reliability engineered in
- Senior engineers — embedded, never handed off
[04 // DATA OPS]
EXPERT DATA OPERATIONS
- Expert training data for frontier models
- Annotation with measurable quality bars
- Human-in-the-loop, run with engineering rigor
[05 // ADVISORY]
PRODUCT, UX & TECHNOLOGY CONSULTING
- AI strategy, sequenced to ROI
- Product and UX — concept to interface
- Architecture reviews, build-vs-buy judgment
[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, governance, semantics 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.
Governed
Access control and lineage are design inputs.
[03] // Capabilities
THE STACK WE COMMAND
Nine disciplines. Deep, current, vendor-neutral.
C.01
LLM Systems & Fine-Tuning
Domain-adapted models and structured-output pipelines.
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
Semantic Layers
One definition of every metric, everywhere.
C.05
Data Engineering
Ingestion to orchestration across cloud platforms.
C.06
Lakehouse & Analytics
BI foundations built for self-service scale.
C.07
Evaluation & Quality
Golden datasets, automated scoring, regression gates.
C.08
Training Data Operations
Expert data production with QA built in.
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