AutoDigda.
IDLet’s collaborate
AI-NATIVE ENGINEERING / INDONESIA

Engineering
the future with
intelligence.

An emerging deep-tech startup advancing artificial intelligence, autonomous robotics, and intelligent engineering technologies.

Explore our technologyDiscover our products
Independent. Early-stage. Indonesia.
01 / ROBOTICS02 / AMADEUS03 / PLC AI04 / JARVISA connected engineering vision
Original abstract illustration • Technology vision
SCROLL TO EXPLORE
ARTIFICIAL INTELLIGENCEAUTONOMOUS ROBOTICSELECTRONIC ENGINEERINGINDUSTRIAL AUTOMATION
A NEW ENGINEERING PERSPECTIVE

Intelligence at the intersection of software and the physical world.

AutoDigda is an independent, early-stage deep-tech initiative based in Indonesia. We are shaping a connected vision for the tools that help engineers understand, design, and build advanced systems.

Meet AutoDigda
FOUR DOMAINS. ONE VISION.

An ecosystem for what’s next.

All products
Concept
01 / Intelligent robotics & autonomous systems

AutoDigda Robotics

A vision for robotic platforms that perceive their surroundings, build meaningful maps, and navigate with purpose.

Explore the concept
Concept
02 / AI-powered electronics engineering

Amadeus AI

An envisioned AI assistant for exploring circuit architectures, selecting components, and preparing simulation workflows.

Explore the concept
Concept
03 / AI for industrial control engineering

AutoDigda PLC AI

A planned engineering assistant for explaining PLC logic, exploring control programs, and preparing simulation-led validation.

Explore the concept
Concept
04 / AI agent orchestration & engineering automation

Jarvis

An envisioned orchestration layer for coordinating specialized AI agents, development tools, and human decisions across engineering projects.

Explore the concept
THE BIGGER PICTURE

An ecosystem designed to connect.

One long-term vision. Four focused disciplines. Select a domain to explore how it could fit into an AI-native engineering workflow.

Concept

Jarvis

Jarvis is envisioned as internal development infrastructure for AutoDigda, and potentially a future commercial product. It could coordinate tasks across Amadeus, PLC AI, and Robotics.

View product vision

Concept illustration. Not a live product or demonstrated integration.

THE SCIENCE BEHIND THE VISION

Built on engineering questions.

The most useful technology begins with a problem worth understanding. These domains inform our research direction.

01

Embodied AI

Intelligence studied through an agent’s interaction with an environment, where perception and action inform one another.

02

SLAM

Simultaneous localization and mapping estimates an agent’s pose while constructing a map from sensor observations. Map quality depends on sensors, motion, and environment.

03

Electronic simulation

Circuit models allow analysis before hardware fabrication. Simulation results remain dependent on model quality and must be validated against real conditions.

04

Agentic AI

AI systems that plan steps and use tools to work toward objectives. Permission boundaries, traceability, and human approvals remain central.

HOW WE THINK

Ambitious by design. Grounded by evidence.

Understand first

Define the real problem before selecting the technology.

Evidence before claims.

Concepts are labeled. Demonstrations are published only after they can be verified. Our ambition is long-term; our communication stays grounded.

Design for connection

Build focused tools around shared engineering workflows and explicit interfaces.

THE LONG VIEW

Make advanced engineering more accessible. Keep human judgment at its core.

Our vision & principles
OPEN TO POSSIBILITY

Build what comes next.

We welcome conversations with researchers, engineers, industry partners, and people who believe in thoughtful technology.

Let’s collaborate