Already powering Daily, Vapi, LiveKit, Vodex, Ultravox and the world's largest AI labs.
The next generation of voice agents won't just talk. They'll listen.
Available now → https://t.co/YVHfXxfonz
The new 2026 @slatornews Index is out!
The tech category features ModelFront as the leader in quality prediction and automatic post-editing, alongside @DeepLcom in traditional translation AI, and @krispHQ in voice.
Large buyers use ModelFront to scale translation while keeping human quality. Over 1B words of Fortune 500 content were processed with ModelFront in 2025.
Read more at https://t.co/ZIaojfp0hz
Introducing Accent Conversion SDK for desktop, mobile and server deployment. 🚀
We’re bringing our industry-leading, real-time Accent Conversion technology to developers 🧵
The Genesis Mission calls for new ways to accelerate scientific discovery.
This is our contribution
Multimodal search across 25M papers is a step toward science discovery that moves at the speed of curiosity.
Releasing,
- Visually indexed scientific paper dataset with open access 25M papers, 450M+ visually indexed pages. Total 175TB+. All on Deep Lake
- Open-source scientific data agent that achieves 48% SOTA on Humanity's Last Exam with tools including the indexed scientific research dataset.
Excited to see what discoveries you all uncover with this.
Try it and share your most interesting findings.
🚨 Isaac 0.1 from @perceptroninc is now live on Replicate.
It's a lightweight, grounded vision-language model that excels at OCR, spatial reasoning, and visual question answering.
Read more here:
https://t.co/48JOrf8hhj
Adam Bittlingmayer (@modelfront) unpacks the concept of “AI checking AI.”
He explains why standard post-editing hasn't worked and how Quality Prediction changes the economics of publishing, allowing safe content.
Apple Podcast: https://t.co/EwHwsq3e9y
Spotify:https://t.co/AOVfz4lDNL
#QualityPrediction #ModelFront #AI #Localization #MachineTranslation #PostEditing #DataSovereignty #GlobalContent #MultiLingualMedia
We've been selected for @AnthropicAI's Strategic Startup Program🚀
Beyond using @claudeai we'll work with their team, co-building our roadmap with one of the world’s leading AI research labs.
Excited to build the next gen of #VoiceAI tech alongside Anthropic and continue pushing what’s possible in the AI era 🤝
🚀 Proud to be recognized by @awscloud as one of the pioneering startups accelerating enterprise AI with the Amazon SageMaker Incubator.
SuperAnnotate + SageMaker = seamless, human-in-the-loop data workflows for faster, smarter model development.
Read 👉 https://t.co/Q35ahGrKly
Coherence Neuro @coherenceneuro Raises $10 Million to Launch Closed-Loop Neuro System for Cancer Treatment.
Coherence Neuro, a medical technology company working at the intersection of neurotechnology, neurobiology, and machine learning to improve the quality and length of life for people with cancer, led by Ben Woodington @WoodingtonBen, Elise Jenkins @Elise__Jenkins, José Lepe, and Jason Miranda, has secured a $10 million seed round led by Topology Ventures and Artesian @artesianvc(Alternative Investments), with participation from Blackbird @blackbirdvc, Possible Ventures, and a network of early-stage backers, including XEIA Venture Partners @XEIA_VP, Jumpspace Ventures, Divergent Capital, SmartGateVC @SmartGateVC, Spacewalk VC, and several prominent angels, including Matt Krisiloff @mattkrisiloff, Linhao Zhang, and Tim Shi.
🚀 Agent Hub just got an upgrade making it easier to use LLMs for data annotation & model evaluation.
- Connect to models on Fireworks, Vertex, Databricks, Bedrock
- Automate large-scale pre-labeling & evaluation
- Enjoy faster, smoother workflows
Read: https://t.co/UyB9ZiEujo
At @ArnataAi, we're obsessed with transforming the logistics industry with AI.
Now the world is starting to notice.
After hitting $1M in weekly revenue this month, @Forbes covered our momentum as one of the leading players in the industry, highlighted by our ability to increase the efficiency of our customers by 91%.
Read more: https://t.co/kcJy9zHOk2
Designing multimodal systems is challenging. To build with the community we’re sharing the design behind TensorStream - a convenient tensor-like interface for interleaved multimodal data. Internally our training and inference code is built on top of this. https://t.co/qnkePqXhy6