mavis

[Eric Landau @EricEncord]

Halfway through 2026, and this is already the biggest year in @encord_team's history.

Looking at a sample of the year so far, we've:

- Announced our $60M Series C led by Wellington Management.
- Expanded into new offices in New York and London.
- Opened our robotics R&D facility in the Bay Area.
- Launched our new agent Merlin to automate the AI data lifecycle.
- Doubled the size of the team.

2026 is the year AI is moving from text boxes into the physical, multimodal world, and we are building the data infrastructure to power that shift.

Huge credit to the Encord team, our customers, and our investors for making the first half of the year such a special one. We are not slowing down now.

[Y Combinator @ycombinator]

Congrats to @encord_team on their $60M Series C!

Encord is building the AI-native data layer powering physical AI, helping 300+ teams manage and align massive volumes of multimodal data as robots and autonomous systems move into real-world deployment.

[Eric Landau @EricEncord]

Today we’re announcing that @encord_team has raised a $60M Series C led by Wellington Management, with participation from existing and new investors including Y Combinator, CRV, N47, Crane Venture Partners, Harpoon Ventures, Bright Pixel, and Isomer Capital. This brings our total funding to $110M.

The world of AI has already changed dramatically since @ulrikstighansen and I started hacking in my parents’ dining room during YC in 2021. But we think the biggest inflection point is actually happening right now.

AI is breaking out of the chatbox and into the physical world. Autonomous vehicles are navigating roads. Surgical robots are operating in hospitals. Warehouse systems are making real-time decisions on factory floors. These aren’t prototypes. They’re deployed systems, and their number will grow to tens of millions in the next few years.

As these AI systems become multimodal, autonomous, and embedded in critical applications, the quality, governance, and usability of data become make-or-break. These systems are only as good as the data they are fed, and there is very little margin for error.

That’s why we’ve built Encord to be the platform AI teams rely on when the stakes are high, to manage, curate, annotate, and align the data their models depend on. Today, more than 300 of the world’s most advanced AI teams trust Encord to train and run their AI on the right data. With this round, we’re going all in on the next frontier of AI because the teams building the most consequential systems in the world deserve the best data infrastructure.

We’ve only reached this point through a concoction of hard work, unwavering support, and the shared belief of many people.  To our team, customers, and investors: thank you for getting us here. The hard part is still ahead, and so is the best part.

@Wellington_Mgmt @ycombinator @crane_vc @brpxcapital @HarpoonVentures @CRV @N47capital @isomercapital @scott_sage @LarsenJensenUSA @tjrylander

[Ulrik Stig Hansen @ulrikstighansen]

@encord_team just raised $60M Series C led by Wellington Management. $110M total funding to power AI in the physical world.

We started in 2021 at my co-founder's parents' dining table during YC, cold outbound by day, hacking by night.

Back then everyone was chasing bigger models. We bet that for teams deploying AI in the real world, the differentiator wouldn't be the model. It would be the data behind it.

That thesis is now reality. The industry shifted from 'who has the biggest model' to 'who has the right data.'

Performance gains now live in post-training, fine-tuning, and evals, and they all start in the data layer.
300+ of the world's top AI teams use Encord today.

The next frontier is physical AI. Autonomous vehicles, robotics, embodied intelligence. These systems can't afford to hallucinate. They don't just need more data, they need multimodal, petabyte-scale infra to bridge raw data to production AI. Physical AI is our fastest-growing segment and where we're going all in.

To our customers, to Eric and the Encord team across SF and London: we've come a long way from the SoCal dining table.

We’re building the data foundation for AI in the real world. We’re just getting started.

@Wellington_Mgmt @ycombinator @crane_vc @brpxcapital @HarpoonVentures @CRV @N47capital @isomercapital @scott_sage @LarsenJensenUSA @tjrylander

[Davis Brown @Davistaylorbro]

Ask #midjourney for a cooking app #UI You wont be disappointed by the unique looking food dishes. Any of these look appetizing?

[mavis @naughtyslurps]

The secondhand embarrassment I feel whilst using Twitter is probably the reason why I’m barely on here.

[mavis @naughtyslurps]

@_amanvir big shoutout to @_buildspace for the super encouraging tutorial ☺️

[mavis @naughtyslurps]

last 2021 project: just deployed my first program on the Solana Devnet WEEEEEEEE hahaha

https://t.co/CYLI1vOzEQ

@_amanvir are u proud of me

[mavis @naughtyslurps]

I almost dislike it a bit more each time

[mavis @naughtyslurps]

Each time I come back to Twitter, the UI just keeps getting cleaner and emptier. Yay nay?

[mavis @naughtyslurps]

Beautifully written, thanks for sharing your Asian American experience @noampomsky

[Ava @noampomsky]

something personal

https://t.co/qyscHyFScI

[mavis @naughtyslurps]

@princesspoppyc No dying pls

[Badia Ahad PhD @BadiaAhad]

I don’t think diversity training can fix this.

[mavis @naughtyslurps]

@hellosepi @princesspoppyc

[mavis @naughtyslurps]

@verge

[mavis @naughtyslurps]

@hellosepi Siao