AI Engineering Studio

AI Is a Tool, Not Magic.We Build It That Way.

Or see our work →
LangChain
Vercel
OpenAI
Anthropic
Google
Cohere
DeepL
Make
LangChain
Vercel
OpenAI
Anthropic
Google
Cohere
DeepL
Make
LangChain
Vercel
OpenAI
Anthropic
Google
Cohere
DeepL
Make
LangChain
Vercel
OpenAI
Anthropic
Google
Cohere
DeepL
Make
Product Demo Video

Our Services

At Particula Tech, we build AI systems that work in production. Custom models, intelligent automation, and systems that improve as they learn from your data.

Most AI projects fail because teams treat them like normal software. We know the difference.

01

AI Development

We build custom models that learn from your data, not generic APIs wrapped in promises. Systems that handle edge cases, adapt to your domain, and actually ship to production.

02

AI Research

We implement techniques from recent papers, design novel architectures for problems that don't have off-the-shelf solutions, and validate approaches before you commit resources.

03

AI Consulting

We tell you what will work, what won't, and why. No vendor lock-in recommendations. No selling you AI for problems that don't need it.

Our Philosophy

AI isn't magic. It's engineering. We build it that way.

01

Engineering Over Hype

Most AI fails because teams treat it like magic. We treat it like what it is—software that needs architecture, testing, and maintenance.

02

Honest About Limits

Sometimes the answer is "don't use AI for this." We only build where AI genuinely solves the problem better than alternatives.

03

Ships and Stays Shipped

We don't do proof-of-concepts that gather dust. When we build something, it handles real traffic and real edge cases.

Selected Work

A showcase of our technology solutions and digital transformations that demonstrate our expertise in creating innovative, future-ready systems.

Intelligent Data Platform with Multi-RAG Architecture
AI & Data Infrastructure

Intelligent Data Platform with Multi-RAG Architecture

Enterprise data hub with CAG, RAG, and GraphRAG - 14 sources unified, 2.4M daily records, 85% faster reporting.

Medical AI Infrastructure Migration
AI Infrastructure & Cloud Migration

Medical AI Infrastructure Migration

Cloud-to-on-premise migration for Swiss healthcare AI processing 200K monthly scans, reducing costs 95%.

AI-Powered Quality Control for Manufacturing
AI & Machine Learning

AI-Powered Quality Control for Manufacturing

Automated quality inspection and predictive maintenance system that transformed production operations.

Face Recognition & Predictive Analytics for Construction
AI Consulting & Analytics

Face Recognition & Predictive Analytics for Construction

Multi-stage AI system eliminating attendance fraud and enabling predictive project management.

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Latest Insights

Explore our latest thoughts on AI, technology, and building systems that scale. Practical insights from real-world experience.

Jan 21, 2026

Dynamic vs Static Prompts: Which Costs More to Maintain?

Compare maintenance costs of dynamic vs static prompts in production AI. Learn when each approach makes sense and how to minimize operational overhead.

Sebastian Mondragon
Jan 20, 2026

Legal AI: How Law Firms Are Actually Using It in Practice

Discover how law firms are implementing AI for document review, legal research, and contract analysis. Real use cases, adoption statistics, and practical implementation guidance.

Sebastian Mondragon
Jan 19, 2026

HIPAA Compliant AI for Healthcare: Implementation That Works

Learn how hospitals and clinics implement AI while meeting HIPAA requirements. Practical guidance on BAAs, PHI protection, and the 2026 regulatory landscape for healthcare AI.

Sebastian Mondragon
Jan 14, 2026

Human-in-the-Loop for AI Agents: When to Require Approval

Learn when AI agents should require human approval before taking action. Practical guidance on balancing automation efficiency with risk management based on real production implementations.

Sebastian Mondragon
Jan 13, 2026

Function Calling vs ReAct Agents: Which Pattern Fits Your Use Case

Compare function calling and ReAct agent patterns with practical guidance on when to use each. Learn implementation tradeoffs, performance characteristics, and decision frameworks.

Sebastian Mondragon
Jan 12, 2026

How to Tell If Your RAG System Actually Works

Most teams measure RAG success with vibes, not metrics. Learn the specific evaluation approaches that reveal whether your retrieval pipeline delivers accurate, relevant results.

Sebastian Mondragon
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