Digients Tech

🌍Digients enables the physical AI world with high-fidelity data
🧭

[Digients Tech @digients_tech]

🧵Introducing Digients.

We’re building data models and infrastructure for Physical AI.

Here’s a little about who we are, what we’re working on, and why we started⬇️

#PhysicalAI #AI

[Digients Tech @digients_tech]

This recognition marks an important milestone in our commitment to high-quality data.

We’ll continue advancing action data and model-driven innovation, transforming real-world experience into meaningful intelligence for the next generation of AI.

[Digients Tech @digients_tech]

We are excited to announce that Digients Tech has been selected as a 2026 Shanghai High-Quality Industry Dataset Exemplary Case.

#actionAI #PhysicalAI #AI

[Digients Tech @digients_tech]

As AI moves beyond content generation to real-world execution, high-quality data is essential.

At Digients Tech, we turn human experience and digital workflows into structured, verifiable action data for foundation models, AI agents, and Action AI.

#AI #ActionAI #PhysicalAI

[Digients Tech @digients_tech]

📍 North America, South America, Southeast Asia, Africa, South Asia & beyond.

DM us to explore a partnership.

[Digients Tech @digients_tech]

🌍 Seeking Global Partners in Physical AI⬇️

Looking for teams with:
• Access to factories, warehouses & real-world environments
• Local operational capabilities
• Resources to coordinate sites, people & equipment

#PhysicalAI #Robotics #GlobalPartners

[Digients Tech @digients_tech]

FSD viz unlocked flight mode 😂
we’re still keeping it grounded🫡

#Tesla #Roadster

[ Eric @eric_sayompoo]

เหี้ยมาก 🤣🤣🤣🤣🤣

[Digients Tech @digients_tech]

5/5 More data matters. But knowing what actually worked matters more.

As AI moves into the physical world, that feedback loop becomes essential.

Looking forward to connecting with the community at AWS re:Invent 2026.

See you in Vegas! 🌎

#PhysicalAI #Robotics #AWSreInvent

[Digients Tech @digients_tech]

Digients Tech is heading to #AWS re:Invent 2026!

We joined the AWS Software Companies Summit & Marketplace User Conference on Oct 13–14, where Digients Tech was named one of the Top 5 startups in the Startup Road to re:Invent pitch competition.

See you in Vegas this November!

[Digients Tech @digients_tech]

4/5 That’s what we’re building at Digients.

Our Verified Experience Layer turns digital and real-world experiences into structured, verifiable training data.

Our World Perception Model, DigiArena, and alignment tools connect experience to training and evaluation.

[Digients Tech @digients_tech]

6/6 — What’s next

We believe Physical AI will be shaped not only by better models, but by how effectively those models can learn from the real world.

We’re here to help build that foundation.

Turn the real world into training signal.

More from us soon.

[Digients Tech @digients_tech]

🧵Introducing Digients.

We’re building data models and infrastructure for Physical AI.

Here’s a little about who we are, what we’re working on, and why we started⬇️

#PhysicalAI #AI

[Digients Tech @digients_tech]

5/6 — Our identity

Inspired by the form of a workbench, our logo represents a space where knowledge becomes action.

Where perception meets experience, and intelligence takes shape through interaction.

Where intelligence meets the world.

[Digients Tech @digients_tech]

5/5

That’s a big part of what we’re building at Digients Tech: models that help turn messy real-world data into something useful for training.

We left WRC with a lot of notes — and even more conviction about what we’re building.

Full recap ↓

[Digients Tech @digients_tech]

Just wrapped up a few packed days at WRC 2026 in Beijing.

Hundreds of robotics companies, thousands of robots, and one pretty clear takeaway:

The industry is ready to move past demos.

🧵

#EmbodiedAI #Robotics #PhysicalAI

[Digients Tech @digients_tech]

4/5

Because real-world data is messy.

More hours ≠ better data.

What matters is what the model can actually learn from it. And figuring that out at scale is still a hard problem.