Lared Media LLC

Technology

Engineering built for production intelligence.

Lared Media’s stack spans applied AI/ML systems and modern application infrastructure — TypeScript, React, Next.js, FastAPI, PostgreSQL, Redis, AWS, and more.

Capabilities

AI that ships beyond the prototype.

We build RAG pipelines, LLM tool-calling agents, local inference servers, and async queue-based retrieval — systems designed to operate under real product constraints.

RAG architectures with vector semantic search
LLM agents with tool calling
Local inference with Ollama + FastAPI
Async queue-based retrieval at scale
OpenAI SDK integrations
Hugging Face model tooling

Stack

AI Engineering

RAG Systems

Vector search pipelines for grounded, context-aware retrieval.

LLM Agents

Tool-calling agents that reason and act across workflows.

OpenAI

Production LLM integrations for matching, generation, and ranking.

Hugging Face

Model tooling and experimentation for applied ML systems.

Ollama

Local inference servers for private, low-latency AI workloads.

Application Stack

Next.js

App Router products with server-first rendering and performance.

React

Composable interfaces for complex consumer workflows.

TypeScript

Type-safe systems across frontend and shared contracts.

FastAPI

High-performance Python APIs for AI and data services.

Infrastructure

PostgreSQL

Relational foundation for durable product data.

Redis

Caching and async queues for responsive retrieval at scale.

AWS

Cloud infrastructure for shipping and operating production systems.

Supabase

Auth, storage, and Postgres-backed product primitives.

Principles

Modern stack. Operational discipline.

The tools matter — but so does owning architecture, APIs, frontend, testing, deployment, and incident response as one continuous system of delivery.

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Building something that needs trust, intelligence, and speed?

Lared Media partners through founder-led engineering — from zero-to-one product definition through production AI systems.