MITO AI Tech Stack

AI-native filmmaking platform combining generative tools with creative studio operations

Software Development San Francisco, California 11–50 employees Founded 2025 Self-Owned

MITO is a two-sided operation: MITO Films (a production studio making commercials and music videos) and MITO Tools (a canvas-based creative suite for directors and brands). The tech stack—Node.js, Python, OpenAI, Anthropic, Gemini, Kafka, RAG systems—reveals a backend heavy on AI orchestration and real-time asset pipelines. Active projects center on latency optimization, collaborative canvas interactions, and storyboarding intelligence, while hiring is concentrated in senior engineering roles, signaling both technical depth requirements and runway to scale production throughput.

Tech Stack 20 technologies

Core StackFigma After Effects Node.js Python OpenAI Anthropic Docker Java PostgreSQL Redis Linux RAG AWS TypeScript ClickHouse Kafka Gemini Spring Boot GraalVM GCP

What MITO AI Is Building

◆Challenges

Optimizing latency and cost
Improving collaborative output reliability
High-volume creative assets
Low latency
Cost efficiency

▲Active Projects

Canvas-based frontend development
Ai model orchestration backend development
Storyboarding and scene generation intelligence layer
Rag & context systems
Ai-driven functionality apis
Real-time canvas interactions
High-volume creative asset pipelines
Ai call monitoring

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Engineering

Data

Design

Seniority

Senior

Lead

Mid

Company intelligence

Find more companies like MITO AI by tech stack, pain points and active projects

Get started free

About MITO AI

MITO combines a film production studio with an AI-powered creative suite for filmmaking. The studio side produces commercials, music videos, and documentary content for brands and artists. The platform side (MITO Tools) provides a unified canvas for developing, iterating, and producing cinematic work at scale. Built on a modern stack (Node.js, Python, cloud-native architecture with Kafka, PostgreSQL, Redis), the product is structured around storyboarding intelligence, real-time canvas collaboration, and high-volume creative asset generation. The company operates from San Francisco with early-stage hiring momentum in engineering and data roles, with a focus on senior hires.

HeadquartersSan Francisco, California

Company Size11–50 employees

Founded2025

Hiring MarketsSpain

Frequently Asked Questions

What is MITO's tech stack?

MITO uses Node.js, Python, OpenAI, Anthropic, and Gemini for AI orchestration. Backend infrastructure runs on PostgreSQL, Redis, Kafka, and AWS/GCP. Frontend tooling includes Figma and After Effects integration. They employ RAG and Docker containerization across the pipeline.

What is MITO working on?

Current development focuses on canvas-based frontend interactions, AI model orchestration backends, storyboarding intelligence, RAG context systems, and real-time creative asset pipelines. Engineering priorities include optimizing latency and cost efficiency for high-volume asset generation.