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 Consulting

AI Operations Audit for a Liquid-Bulk Forwarder

A two-week diagnostic mapping every workflow at a Riga-based flexitank and ISO-tank forwarder — produced a ranked roadmap of seven AI opportunities.

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.

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 8, 2026

Self-Host LLM vs API: When the Break-Even Math Flips in 2026

The $20K/mo self-host break-even is wrong. Add idle GPU, tail traffic, and the senior infra hire and the real flip is $50-80K — hybrid wins below that.

Sebastian Mondragon

May 7, 2026

SWE-Bench Pro: Why Coding Agents Collapse From 80% to 23%

Frontier models score ~80% on SWE-Bench Verified and crater to 23% on SWE-Bench Pro. Here's what multi-file PRs actually expose—and how to pick a coding agent that survives them.

Sebastian Mondragon

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

A single misbehaving prompt can drain five figures of LLM spend in a week before anyone notices. Here's the 4-criteria matrix and tier-by-tier breakdown — DIY, LiteLLM, Portkey, Kong — that actually scopes your AI gateway.

Sebastian Mondragon

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