An AI Solutions practice built on engineering rigor and business acumen.
JMM Labs is the AI Solutions Architecture practice founded by Javier Martinez. We sit at the intersection of technical performance and profitability — designing AI agent ecosystems that solve real-world problems while protecting margins. Over a decade of robust software engineering (.NET, Python) and logistics operations experience underpins every system we ship.
From prototype to resilient production.
Most AI prototypes never make it to production. The ones that do often fail under real load, real costs, and real compliance requirements. JMM Labs exists to close that gap.
We build scalable, secure, and efficient AI infrastructure: hybrid search engines with Reciprocal Rank Fusion, Redis-backed distributed circuit breakers, singleflight patterns to mitigate cache stampedes, and continuous learning loops that turn user corrections into dynamic few-shot examples — without the cost of fine-tuning.
Security is not an afterthought. We engineer real-time PII scrubbing (Spacy/NLP), deterministic guardrails against prompt injection, and SOC2/GDPR-aligned controls into the core path.
Our approach
Performance Architecture
Latency and cost are first-class design constraints. We measure, route, and optimize — not just deploy.
Hexagonal Foundations
Decoupled, testable, vendor-agnostic systems that survive model swaps, vendor pivots, and audit reviews.
Observability by Default
OpenTelemetry, Grafana, and Arize Phoenix wired in from day one — so production behavior is never a black box.
Margin-Aware Routing
An intelligent semantic router selects between SOTA and efficient models based on prompt complexity and live budget signals.
Core stack
A pragmatic toolkit chosen for production reliability, not trend-following. Every layer earns its place.
AI & Agents
- PydanticAI
- LangGraph
- DSPy
- Semantic Kernel
- Azure OpenAI
- RAG / GraphRAG
Engineering & Core
- Python (Asyncio)
- FastAPI
- C# / .NET
- React.js
- Next.js
- Tailwind CSS
Data & Databases
- PostgreSQL (pgvector)
- Redis
- LanceDB
- SQL
DevOps & Observability
- Docker
- GitHub Actions (CI/CD)
- Railway
- OpenTelemetry
- Grafana Stack
- Arize Phoenix
Security & Compliance
- Microsoft Presidio (PII / GDPR)
- SOC2 Compliance
Let's build something that ships.
Engagements span architecture reviews, end-to-end builds, and production hardening. Reach out to start a conversation.