Continuous Intelligence

Building models that learn from the world as it unfolds in continuous time.

[Continuous Intelligence @Continu_Intel]

We are delighted to be one of ten teams entering Stage 1 of SPRIND’s €125m Next Frontier AI Challenge.

We are building AI that learns directly from irregular, asynchronous and multiscale streams of real-world data.

[SPRIND, Federal Agency for Breakthrough Innovation @SPRIND]

Ten teams. Five countries. Up to €26.5M each in equity-free funding to build frontier AI labs for Europe. The Next Frontier AI Stage 1 teams are here. Physical AI, world models, continual learning and automated science. Each one a serious bet on the next paradigm.

[Continuous Intelligence @Continu_Intel]

Both bring expertise directly relevant to our mission of building efficient foundation models that learn from irregular, asynchronous and multiscale time-series data.

Welcome to the team, Federico Nardi and Yi Heng Lim!

5/5

[Continuous Intelligence @Continu_Intel]

Two big additions to Continuous Intelligence!

We’re excited to welcome Federico Nardi and Yi Heng Lim to the team.

Some of the hardest challenges in time-series AI come down to two questions: how signals relate to one another, and how to learn efficiently across time.

1/5

[Continuous Intelligence @Continu_Intel]

His work laid the foundations for a new generation of parallelised recurrent models, including Apple’s ParaRNN, which scaled nonlinear recurrent language models to 7 billion parameters.

4/5

[Continuous Intelligence @Continu_Intel]

Great to join NVIDIA’s UK Ecosystem Celebration and hear about the future of AI in the UK. Thanks to NVIDIA for bringing everyone together!

Bonus points if you can spot our logo 👀

[NVIDIA @nvidia]

Cheers to the UK’s AI builders. 🇬🇧

Tonight in London, @JensenHuang announced new investments in @boltz_bio, @ForesightWorks, @hivergeai, @PrimaMente, and Riverlane.

From new medicines to quantum computing, there’s plenty to build.

[Continuous Intelligence @Continu_Intel]

Six papers at NeurIPS 2026 from a team of four: that's 1.5 papers per person!

Among them is our inaugural Continuous Intelligence paper, Time Flies When You Parallelise.

Preprint coming soon. In the meantime, here is a brief intro to are all six papers!

[Ben Walker @benjaminwalker]

Really enjoyed speaking at the SPRIN-D AI and Robotics conference about what we are building at @Continu_Intel !

Thank you to @IlirAliu_ for the great video!

[Continuous Intelligence @Continu_Intel]

Two months into Continuous Intelligence, we shared our progress building foundation models for time-series data at SPRIND’s conference in Berlin!

Exciting to see so much frontier AI innovation beyond LLMs across the UK and Europe. Thank you SPRIND for bringing us together!

[Continuous Intelligence @Continu_Intel]

Continuous Intelligence has been awarded up to €3 million through SPRIND’s Next Frontier AI Challenge.

We are one of ten teams selected from 500+ applications to enter Stage 1.

Read more
https://t.co/zExphbAUxL

We’re hiring in London
https://t.co/hV1psdJwkd

[Andreas Köpf @neurosp1ke]

🚀 NFAI winners of round 1:
- Autonomous Research: Paradigma
- World models: Ontic Labs & UMA
- Continuous learning/LSPs: After Labs
- Hypernetworks: Weight Space Labs
- Time series: Aionic Labs & Continuous Intelligence
- Differentiable sim: Feyer
+ 2 more still stealth 👻

[Jano Costard @jncstrd]

True sovereignty isn't copied. It's built. Here are the 10 teams we fund with €125M to create the next AI paradigm in Europe! Learn more about the teams and the @SPRIND Next Frontier AI Challenge 👇
1/

[Continuous Intelligence @Continu_Intel]

We are hiring our founding technical team in London:

• ML Research Engineer
• GPU and ML Systems Engineer
• ML Product and Evaluation Engineer

Explore the roles: https://t.co/w1aKcOIssr

[Continuous Intelligence @Continu_Intel]

We are delighted to be one of ten teams entering Stage 1 of SPRIND’s €125m Next Frontier AI Challenge.

We are building AI that learns directly from irregular, asynchronous and multiscale streams of real-world data.

[SPRIND, Federal Agency for Breakthrough Innovation @SPRIND]

Ten teams. Five countries. Up to €26.5M each in equity-free funding to build frontier AI labs for Europe. The Next Frontier AI Stage 1 teams are here. Physical AI, world models, continual learning and automated science. Each one a serious bet on the next paradigm.

[Continuous Intelligence @Continu_Intel]

The real world does not arrive as tokens.

It arrives as measurements, events and signals, observed asynchronously and across multiple scales.

Our models maintain an evolving representation of the world, updating whenever new observations arrive.

[Continuous Intelligence @Continu_Intel]

We’re hiring our founding technical team in London.

• ML Research Engineer
• GPU & ML Systems Engineer
• ML Product & Evaluation Engineer

Help us build models that learn directly from a continuously evolving world.

Explore the roles: https://t.co/w1aKcOIssr

[Continuous Intelligence @Continu_Intel]

The real world does not arrive as tokens.

It arrives as irregular, asynchronous and multiscale streams of measurements, events and signals.

Continuous Intelligence is building stream-native AI for real-world time-series data.