AI Engineering Studio

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

Production-ready AI systems that handle real users and real edge cases.

The Particula Brief — weekly drops on shipping AI

AI Engineering Studio

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

Production-ready AI systems that handle real users and real edge cases.

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.

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.

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.

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.

AI Training

We train your teams to work with AI—from generative AI and autonomous agents for business teams, to AI coding tools like Cursor and Claude Code for developers. Hands-on workshops, not slide decks.

Selected work

What this looks like in practice.

Swiss healthcare networkMigrated in one quarter

Moved 200K monthly medical scans from cloud to on-premise — and cut infrastructure cost by 95%.

A Swiss healthcare provider was running 200,000 imaging scans a month on a cloud GPU stack that bled budget and created data-residency risk. We designed and shipped the on-prem migration end-to-end — CNN inference, PACS integration, GPU sizing — without losing throughput.

95%infrastructure cost reduction

200Kscans processed monthly

$5.4Msavings over three years

Stack

PyTorchCNNNVIDIA GPUsPACSOn-prem

Read the full case

Selected Work

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

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.

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 & Machine Learning

AI-Powered Quality Control for Manufacturing

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

AI Consulting & Analytics

Face Recognition & Predictive Analytics for Construction

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

Who you'll work with

I take every intro call myself. If we're a fit, you'll work directly with me — not a junior assigned to your account. If we're not, I'll tell you on the call and point you at a better path. The work I want to do is the work that actually ships.

Sebastian MondragonFounder, Particula Tech

Discovery call

What you'll get from this call

An honest read on whether AI is the right tool for your problem.
The smallest valuable next step, scoped to your team and timeline.
Clear next moves whether or not we end up working together.

Book a discovery call

30 min — talk through your problem with Sebastian.

Sebastian Mondragon

30 min

Google Meet

May2026

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Latest Insights

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

May 6, 2026

Helicone vs Langfuse vs LangSmith: LLM Observability in 2026

Three architectural bets, three different ceilings. Here's the tier-by-tier breakdown of Helicone, Langfuse, and LangSmith — pricing at 10M/100M/1B traces, self-host posture, and the migration math nobody publishes.

Sebastian Mondragon

May 5, 2026

PageIndex: Vectorless RAG That Hits 98.7% on FinanceBench

PageIndex hits 98.7% on FinanceBench with no embeddings and no vector DB. Here's how the LLM-reasoned TOC tree works, where it breaks, and when to migrate.

Sebastian Mondragon

May 4, 2026

Mastra vs LangGraph vs Vercel AI SDK: TypeScript Agents in 2026

We rebuilt a LangGraph TS agent in Mastra in 18 hours instead of 41. Here's why TypeScript shops are leaving LangGraph and Vercel AI SDK in 2026.

Sebastian Mondragon

May 1, 2026

AI Gateway Decision Framework: LiteLLM vs Portkey vs Kong in 2026

We watched a Series B SaaS burn $42K in a single week because nobody could attribute LLM spend to a customer. Here's the 4-criteria matrix and tier-by-tier breakdown — DIY, LiteLLM, Portkey, Kong — that actually scopes your AI gateway.

Sebastian Mondragon

Apr 30, 2026

Turbopuffer vs Pinecone in 2026: Why Cursor and Notion Migrated

Cursor, Notion, and Linear standardized on Turbopuffer for one reason: object storage cuts vector DB cost 10x at scale. Here's the migration playbook—and when Pinecone still wins.

Sebastian Mondragon

Apr 29, 2026

Why Your Anthropic Cache Hit Rate Collapsed: The 5-Minute TTL Regression Explained

On March 6, 2026 Anthropic quietly cut the default prompt cache TTL from 1 hour to 5 minutes. Here's how to confirm it's hitting your bill, the four prefix drifts that bust the cache, and the runbook we ship to clients.

Sebastian Mondragon

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