Nexdata.ai

Sharpen Your AI with Better Data!

[Nexdata.ai @nexdata_ai]

🚀 𝗙𝗿𝗲𝗲 𝗗𝗲𝘅𝘁𝗲𝗿𝗼𝘂𝘀 𝗛𝗮𝗻𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗗𝗮𝘁𝗮 𝗮𝘁 𝗜𝗖𝗥𝗔 𝟮𝟬𝟮𝟲

As robotics and Physical AI continue to advance, high-quality operation data is becoming increasingly important for robotic learning, multimodal model training, and intelligent manipulation.

𝗔𝘁 𝗜𝗖𝗥𝗔 𝟮𝟬𝟮𝟲, Nexdata and LINKERBOT will jointly launch a 𝗗𝗲𝘅𝘁𝗲𝗿𝗼𝘂𝘀 𝗛𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗚𝗶𝘃𝗲𝗮𝘄𝗮𝘆, offering free access to 𝟮𝟭𝟭+ 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝗱𝗲𝘅𝘁𝗲𝗿𝗼𝘂𝘀 𝗵𝗮𝗻𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮.

The dataset includes:
✅ 2,006 long-task sequences
✅ 14,511 short-task sequences
✅ Home-like scenarios including kitchen, study, and living room
✅ Actions such as grasping, placing, wiping, and object interaction
✅ Rich annotations including task instructions, action types, lighting conditions, interference types, scene descriptions, and sub-action timestamps

This giveaway is designed to support researchers, robotics teams, and AI companies working on 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜, 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗺𝗼𝗱𝗲𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁.

📍 𝗙𝗶𝗻𝗱 𝘂𝘀 𝗮𝘁 𝗟𝗶𝗻𝗸𝗲𝗿𝗯𝗼𝘁 𝗕𝗼𝗼𝘁𝗵 #𝟬𝟱𝟳 𝗱𝘂𝗿𝗶𝗻𝗴 𝗜𝗖𝗥𝗔 𝟮𝟬𝟮𝟲
Stop by to learn more about the giveaway and 𝘀𝗰𝗮𝗻 𝘁𝗵𝗲 𝗼𝗻-𝘀𝗶𝘁𝗲 𝗤𝗥 𝗰𝗼𝗱𝗲 to apply for free access to the dataset.

See you in Vienna!

#ICRA2026 #PhysicalAI #Robotics #DexterousHand #RoboticLearning #MultimodalAI #AIData #Nexdata #Linkerbot

[Nexdata.ai @nexdata_ai]

🎁 𝗙𝗿𝗲𝗲 𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝟮𝟭𝟭+ 𝗛𝗼𝘂𝗿𝘀 𝗼𝗳 𝗗𝗲𝘅𝘁𝗲𝗿𝗼𝘂𝘀 𝗛𝗮𝗻𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗗𝗮𝘁𝗮 𝗮𝘁 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲

Nexdata and LINKERBOT will jointly offer free access to 𝟮𝟭𝟭+ 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝗱𝗲𝘅𝘁𝗲𝗿𝗼𝘂𝘀 𝗵𝗮𝗻𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮 𝗱𝘂𝗿𝗶𝗻𝗴 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲.

✅ 2,006 long-task clips, totaling 108.4 hours
✅ 14,511 short-task clips, totaling 103.1 hours
✅ Simulated home environments, including kitchens, studies, and living rooms
✅ Manipulation actions such as grasping, placing, wiping, and interactive object operations
✅ Rich annotations, including task instructions, action types, lighting conditions, scene descriptions, and sub-action timestamps

Want to learn how to apply for free access?

Visit the Nexdata team at CVPR 2026 Booth #437 to learn more about the giveaway and explore our latest catalog of high-demand datasets.
📍 Booth #437
📅 June 5–7, 2026

See you at CVPR 2026!

#CVPR2026 #Nexdata #Linkerbot #PhysicalAI #Robotics #DexterousHand #RoboticLearning #MultimodalAI #AIData #ComputerVision #DataAnnotation #Dataset

[Nexdata.jp｜【Datatang株式会社公式】｜高品質AI学習データを提供 @Nexdata_jp]

ブースでは、フィジカルAI収集工場のオンライン見学案内・2026年度新規データセットの公開を致します。ぜひ弊社ブースにお越しください。ブース番号：40 ＃AI ＃機械学習　＃VLA ＃フィジカルAI

[Nexdata.ai @nexdata_ai]

🎉 𝗡𝗲𝘅𝗱𝗮𝘁𝗮 𝗶𝘀 𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗼 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲!

We’re excited to announce that 𝗡𝗲𝘅𝗱𝗮𝘁𝗮 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗲𝘅𝗵𝗶𝗯𝗶𝘁𝗶𝗻𝗴 𝗮𝘁 𝗖𝗩𝗣𝗥 𝟮𝟬𝟮𝟲 in Denver, one of the world’s leading conferences for computer vision and artificial intelligence.
📍 𝗕𝗼𝗼𝘁𝗵 #𝟰𝟯𝟳
📅 𝗝𝘂𝗻𝗲 𝟯–𝟳, 𝟮𝟬𝟮𝟲

At CVPR 2026, Nexdata will showcase high-quality data solutions across key AI domains, including 𝗚𝗲𝗻𝗔𝗜/𝗩𝗟𝗠, 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜, 𝗮𝗻𝗱 𝗔𝗗𝗔𝗦/𝗔𝗩. From data collection and annotation to evaluation support, we look forward to sharing how our end-to-end data capabilities help accelerate model training, optimization, and real-world AI deployment.

Visitors will also be able to pick up 𝗡𝗲𝘅𝗱𝗮𝘁𝗮’𝘀 𝗹𝗮𝘁𝗲𝘀𝘁 𝗰𝗮𝘁𝗮𝗹𝗼𝗴 𝗼𝗳 𝗵𝗶𝗴𝗵-𝗱𝗲𝗺𝗮𝗻𝗱 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀 and explore data resources designed for model training, evaluation, and real-world applications.

🎁 And there’s more — we’ll be preparing 𝗵𝗶𝗴𝗵-𝘃𝗮𝗹𝘂𝗲 𝗴𝗶𝘃𝗲𝗮𝘄𝗮𝘆𝘀 for visitors at our booth!

Here’s a small hint: the prizes will be connected to 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜. 🤖

More details will be revealed next week. Stay tuned!

Read more in our latest article:
https://t.co/2Yx8UZ3BU6

See you in Denver at 𝗕𝗼𝗼𝘁𝗵 #𝟰𝟯𝟳!

#CVPR2026 #Nexdata #ComputerVision #ArtificialIntelligence #GenAI #VLM #PhysicalAI #ADAS #AutonomousDriving #AIData #Dataset #DataSolutions

[Nexdata.ai @nexdata_ai]

🚀 MLC-SLM Challenge 2026 Update: 𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗕𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗔𝗿𝗲 𝗡𝗼𝘄 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝗱

The 2nd Multilingual Conversational Speech Language Model (MLC-SLM) Challenge continues to advance research in 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗺𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗽𝗲𝗲𝗰𝗵, with a focus on speaker diarization, recognition, and deeper speech understanding.

This year’s training set has been further expanded to ~𝟮,𝟭𝟬𝟬 𝗵𝗼𝘂𝗿𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝟭𝟰 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀, with richer language variants and accents to better reflect real conversational scenarios.

A key milestone is now here: 𝗧𝗵𝗲 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗯𝗮𝘀𝗲𝗹𝗶𝗻𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗯𝗼𝘁𝗵 𝘁𝗮𝘀𝗸𝘀 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱.

For Task 1, the baseline is built on 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗩𝗶𝗯𝗲𝗩𝗼𝗶𝗰𝗲-𝗔𝗦𝗥, fine-tuned on the challenge training set, with standardized evaluation using tcpMER/tcpWER/tcpCER across languages.

For Task 2, the baseline combines 𝗚𝗲𝗺𝗶𝗻𝗶 𝟮.𝟱 𝗣𝗿𝗼 for constructing acoustic and semantic single-choice questions, and 𝗤𝘄𝗲𝗻𝟮.𝟱-𝗢𝗺𝗻𝗶-𝟳𝗕 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗲𝗱 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗺𝘀-𝘀𝘄𝗶𝗳𝘁 𝘁𝗼𝗼𝗹𝗸𝗶𝘁. The development-set questions and answers will also be open-sourced for participants’ reference.

🏆 𝗧𝗼𝘁𝗮𝗹 𝗣𝗿𝗶𝘇𝗲 𝗣𝗼𝗼𝗹: 𝗨𝗦$𝟮𝟬,𝟬𝟬𝟬（ equivalent value in other currencies）
The prize breakdown for the top-performing teams in each task is as follows:
🥇 𝟭𝘀𝘁 𝗣𝗹𝗮𝗰𝗲: 𝗨𝗦$𝟱,𝟬𝟬𝟬
🥈 𝟮𝗻𝗱 𝗣𝗹𝗮𝗰𝗲: 𝗨𝗦$𝟯,𝟬𝟬𝟬
🥉 𝟯𝗿𝗱 𝗣𝗹𝗮𝗰𝗲: 𝗨𝗦$𝟮,𝟬𝟬𝟬

It’s exciting to see strong interest from both academia and industry, with teams already formed by leading global companies and renowned universities.

If you’re working on Speech LLMs, ASR, speaker diarization, spoken dialogue understanding, or multilingual AI, now is a great time to join.

Learn more and join us: https://t.co/LwaPWPwTFA
Register: https://t.co/6X1VlnRAzV

[TITAN Awards @TitanAwards]

𝟐𝟎𝟐𝟔 𝐓𝐈𝐓𝐀𝐍 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐀𝐰𝐚𝐫𝐝𝐬: 𝐖𝐢𝐧𝐧𝐞𝐫 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭 🗿

Embodied AI Data Solution by @nexdata_ai
Winner's Page: https://t.co/jUZ8nyekGT
🔗 Check the link in bio

#TITANAwards #TITANInnovationAwards #InnovationAwards #Robotics #AutomationTechnology #RoboticsInnovation #AIandRobotics #TechInnovation #FutureTechnology #EngineeringInnovation

[Nexdata.ai @nexdata_ai]

💰 $𝟮𝟬,𝟬𝟬𝟬 𝗣𝗿𝗶𝘇𝗲 𝗣𝗼𝗼𝗹 𝗳𝗼𝗿 𝘁𝗵𝗲 𝟮𝗻𝗱 𝗠𝗟𝗖-𝗦𝗟𝗠 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝟮𝟬𝟮𝟲

The 2nd MLC-SLM Challenge 2026 is well underway, and there’s still time to join.

This year’s challenge is designed to advance Speech LLMs in real-world multilingual conversational scenarios, supported by a larger dataset featuring:
• ~𝟮,𝟭𝟬𝟬 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝘁𝘄𝗼-𝘀𝗽𝗲𝗮𝗸𝗲𝗿 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗽𝗲𝗲𝗰𝗵
• 𝟭𝟰 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀

🏆 𝗧𝗼𝘁𝗮𝗹 𝗣𝗿𝗶𝘇𝗲 𝗣𝗼𝗼𝗹: $𝟮𝟬,𝟬𝟬𝟬

From multilingual conversational speech recognition to spoken dialogue understanding, this is a valuable opportunity for teams across academia and industry to test new ideas, benchmark performance, and compete on real-world data.

If you’re working on Speech LLMs, ASR, speaker diarization, or conversational AI, this is a challenge worth joining.

🔗Register here: https://t.co/6X1VlnRAzV

#interspeech #mlcslm #speechllm #SpeakerDiarization #MultilingualAI #SpeechAI

[Nexdata.ai @nexdata_ai]

🎥 Now on YouTube: MLC-SLM 2025 Summary Paper Presentation

We’re excited to share a new video featuring the summary paper of the 1st MLC-SLM Challenge — now available on YouTube.

Even more exciting: the paper has been accepted by ICASSP 2026. 🚀

In this session, the paper team walks through key insights from the first edition of the challenge, including:

• the motivation behind MLC-SLM
• dataset design and task setup
• major findings from participating teams
• what these results mean for the future of multilingual conversational Speech LLMs

If you’re working on speech AI, multilingual ASR, speaker diarization, or conversational AI, this is a great opportunity to catch up on the challenge and its research outcomes.
🎬 Watch the video here: https://t.co/ccDgyNMaaF

#MLCSLM #ICASSP2026 #SpeechAI #SpeechLLM #ASR #SpeakerDiarization #ConversationalAI #MultilingualAI #interspeech

[Nexdata.ai @nexdata_ai]

Speech LLMs don’t fail on benchmarks.
They fail in real conversations.

That’s why we launched the 2nd MLC-SLM Challenge 2026 — to push Speech LLM research closer to real-world multilingual conversational speech.
Registration Links: https://t.co/6X1VlnRAzV

This year’s challenge brings a bigger and more diverse dataset:
✅ ~2,100 hours of two-speaker conversations
✅ 14 languages
✅ Designed for multilingual speech segmentation, recognition, and spoken dialogue understanding

Why does this matter?
Because real conversational AI is far more than ASR. It involves:
• speaker overlap
• turn-taking
• acoustic variability
• semantic understanding in multi-turn dialogue

And that’s exactly where today’s Speech LLMs still struggle.

We’re also excited that the MLC-SLM 2025 Summary paper has been accepted by ICASSP. This month, members of the paper team will present their work, and the session will be published across our media channels.

If you’re working on multilingual conversational AI, this is a challenge worth watching — or joining.
Explore more here: https://t.co/Llhvrs94bd

#SpeechLLM #MLCSLM #SpeechAI #MultilingualAI #ConversationalAI #ASR

[Nexdata.ai @nexdata_ai]

🚀 Registration is now open for the 2nd MLC-SLM Challenge 2026!

The MLC-SLM Challenge returns with a stronger focus on advancing Speech LLMs for real-world multilingual conversational speech.
🔗 Register here: https://t.co/6X1VlnRAzV

Following a successful first edition with 78 teams from 13 countries and regions, this year’s challenge will introduce a larger multilingual conversational speech dataset covering 14 languages and around 2,100 hours of data.

We’re also excited to share that the MLC-SLM 2025 Summary paper has been accepted by ICASSP. This month, we will invite members of the paper team to present their research, and the session will be published across our media channels.

📅 Key dates (AOE):
• Training data release: April 10, 2026
• Dev set & baseline release: April 24, 2026
• Evaluation set & leaderboard open: June 15, 2026
• Leaderboard freeze: June 25, 2026
• Paper submission deadline: July 10, 2026
• Workshop: October 2, 2026

We welcome researchers from both academia and industry to join us.

Explore more here:https://t.co/h3lK3wZgTw

#SpeechLLM #MLCSLM #MultilingualAI #ASR #SpeakerDiarization #ConversationalAI

[Nexdata.ai @nexdata_ai]

🎤 Great to see this conversation continue at TechAD Europe 2026.

During our keynote, “Driving Intelligence – How Next-Gen Annotation Fuels Autonomous Vehicles,” we shared a core perspective:

As ADAS and AV systems evolve, the real challenge is no longer just model performance — it’s how to turn massive volumes of data into reliable, actionable intelligence.

From human-in-the-loop annotation to scalable data workflows, the focus is shifting toward building data pipelines that can support safety, consistency, and real-world deployment at scale.

A big thank you to everyone who joined the session and contributed to the discussion.

Curious to hear your thoughts:
What’s the biggest bottleneck in scaling autonomous driving today — data, models, or infrastructure?
https://t.co/tp1cIVwFec

#TechAD #AutonomousDriving #ADAS #AIData #MobilityTech #Nexdata

[Nexdata.ai @nexdata_ai]

🎤 Live from TechAD Europe 2026

What does it really take to build reliable AI for autonomous driving?

At TechAD Europe, we had the opportunity to share Nexdata’s perspective in an on-site interview—covering everything from our role in the ecosystem to why data is at the core of autonomous driving.

In this interview, we talk about:
• What brings Nexdata to TechAD
• How high-quality data enables safer, more reliable AI systems
• Our experience connecting with industry leaders at the event

As ADAS and AV technologies continue to evolve, one thing is clear: better data leads to better decisions.
🎥 Watch the full interview below.
https://t.co/iNfo8jdVtD

#AutonomousDriving #ADAS #AIData #TechAD #MobilityTech #Nexdata

[Nexdata.ai @nexdata_ai]

Proud news from our team: Nexdata has been recognized by Business Intelligence Group in the Generative AI category of the 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 𝗔𝘄𝗮𝗿𝗱𝘀.

Nexdata empowers generative AI with high-quality, scalable, and compliant data foundations. Nexdata has delivered quantifiable and verifiable results in the field of generative AI, directly reflected in improved business value, operational efficiency, and technological capabilities.

This recognition reflects the talent, discipline, and ambition of our people. Thank you to Business Intelligence Group for recognizing this work, and thank you to the team behind it.

#AI #ArtificialIntelligence #Innovation #BusinessIntelligenceGroup #Nexdata

[Nexdata.ai @nexdata_ai]

𝗧𝗲𝗰𝗵.𝗔𝗗 𝗘𝘂𝗿𝗼𝗽𝗲 𝟮𝟬𝟮𝟲 — 𝗔 𝗚𝗿𝗲𝗮𝘁 𝗪𝗿𝗮𝗽-𝗨𝗽 🚗

What an incredible few days in Berlin—𝗧𝗲𝗰𝗵.𝗔𝗗 𝗘𝘂𝗿𝗼𝗽𝗲 𝟮𝟬𝟮𝟲 𝗵𝗮𝘀 𝗰𝗼𝗺𝗲 𝘁𝗼 𝗮 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗰𝗹𝗼𝘀𝗲.

We’re grateful for the many insightful conversations, exchanges, and connections we had with industry experts, partners, and innovators across the autonomous driving ecosystem.

It was also a great honor for Nexdata to be part of the stage.
🎤 Our talk on “𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 – 𝗛𝗼𝘄 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗙𝘂𝗲𝗹𝘀 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀” sparked meaningful discussions around the role of high-quality data in enabling safer and smarter ADAS/AV systems.

We’re especially excited to share that Nexdata was also invited for an 𝗼𝗻-𝘀𝗶𝘁𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗮𝘁 𝗧𝗲𝗰𝗵.𝗔𝗗—a great opportunity to further discuss our perspectives on AI data and the future of mobility.

🎥 𝗧𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗮𝗻𝗱 𝗸𝗲𝘆𝗻𝗼𝘁𝗲 𝗿𝗲𝗰𝗼𝗿𝗱𝗶𝗻𝗴𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝘀𝗼𝗼𝗻—𝘀𝘁𝗮𝘆 𝘁𝘂𝗻𝗲𝗱!

Thank you again to everyone we met in Berlin！ Looking forward to continuing the conversation！
Curious to learn more? Check out our ADAS/AV data solutions below.
https://t.co/o3BYVy9RhJ

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