Ace AI转发了
On June 16th, I arrived in California as an immigrant with a dream. Today, Ace AI proudly represents the excellence that immigrant dreamers can achieve.
Ace AI
科技、信息和网络
Palo Alto，California 1,604 位关注者
Label by label, we're accelerating in-house enterprise ML and GenAI development.
关于我们
We're building an enterprise in-house, comprehensive, data-centric platform that empowers our enterprise partners to accelerate their ML and GenAI development and build their own advanced AI models to solve real-world business problems. Our data labeling and ML solutions are cloud-agnostic, meeting enterprises wherever their data is stored and operating on their terms. We offer the highest levels of security, privacy, and customization with deployment options that are on-premises by default, with private cloud and on-device implementations.
- 网站
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https://aceaicompany.com
Ace AI的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 2-10 人
- 总部
- Palo Alto，California
- 类型
- 私人持股
- 创立
- 2024
- 领域
- AI、Machine Learning、AI agents、Computer Vision、Data Annotation、Sensor Fusion、Autonomous Driving、Ground Truth Data、Training Data、Robotics、Deep Learning、Document Processing、NLP、Drones、APIs、Neural Networks、Machine Labelling、Edge AI和Automated Labelling
地点
Ace AI员工
动态
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Join our roundtable https://lnkd.in/d5b9HKhG
Data is our lifeblood and its quality is of utmost importance. Ace AI is a cutting-edge startup founded in 2024 in Silicon Valley. We have built a revolutionary data refinery that transforms raw data into high-quality, actionable datasets for training ML models. By leveraging both human expertise and AI agents, we help our clients fuel large language models (LLMs) and other advanced AI systems. We are hosting our first-ever Accelerate - a virtual round table with a selected group. Whether you are a user of data labeling services, an expert in data labeling, or just a data enthusiast, this is the event for you. What to Expect: - In-depth discussions on the importance of data quality - Latest in data labeling techniques to improve accuracy - Networking with like-minded professionals Time and Format: - Monday, September 16th - 6:00 - 6:30 PM PDT: Expert seminar - 6:30 - 7:00 PM PDT: Discussion opens for audience Space is limited, so don’t miss out! RSVP now:
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Join our team https://lnkd.in/dC5MF229
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Join our roundtable https://lnkd.in/d5b9HKhG
Data is our lifeblood and its quality is of utmost importance. Ace AI is a cutting-edge startup founded in 2024 in Silicon Valley. We have built a revolutionary data refinery that transforms raw data into high-quality, actionable datasets for training ML models. By leveraging both human expertise and AI agents, we help our clients fuel large language models (LLMs) and other advanced AI systems. We are hosting our first-ever Accelerate - a virtual round table with a selected group. Whether you are a user of data labeling services, an expert in data labeling, or just a data enthusiast, this is the event for you. What to Expect: - In-depth discussions on the importance of data quality - Latest in data labeling techniques to improve accuracy - Networking with like-minded professionals Time and Format: - Monday, September 16th - 6:00 - 6:30 PM PDT: Expert seminar - 6:30 - 7:00 PM PDT: Discussion opens for audience Space is limited, so don’t miss out! RSVP now:
Ace AI's Data Labeling Roundtable
docs.google.com
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Join our team https://lnkd.in/dC5MF229
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Join our team https://lnkd.in/dC5MF229
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Join our roundtable https://lnkd.in/d5b9HKhG
Data is our lifeblood and its quality is of utmost importance. Ace AI is a cutting-edge startup founded in 2024 in Silicon Valley. We have built a revolutionary data refinery that transforms raw data into high-quality, actionable datasets for training ML models. By leveraging both human expertise and AI agents, we help our clients fuel large language models (LLMs) and other advanced AI systems. We are hosting our first-ever Accelerate - a virtual round table with a selected group. Whether you are a user of data labeling services, an expert in data labeling, or just a data enthusiast, this is the event for you. What to Expect: - In-depth discussions on the importance of data quality - Latest in data labeling techniques to improve accuracy - Networking with like-minded professionals Time and Format: - Monday, September 16th - 6:00 - 6:30 PM PDT: Expert seminar - 6:30 - 7:00 PM PDT: Discussion opens for audience Space is limited, so don’t miss out! RSVP now:
Ace AI's Data Labeling Roundtable
docs.google.com
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Ace AI转发了
A big thank you to the Plug and Play team for giving us the opportunity to pitch and be selected in the top 23 out of more than 1000 startups Fortune100 companies like State Farm, USAA, and Aon have validated our mission and have said "Yes there is a need to accelerate in-house enterprise AI/ML development". We're looking forward to building meaningful partnerships, collaborating within the ecosystem, and making a positive impact together
?? Program Announcement ?? Over the past few months, our Insurtech SV team has been preparing for our upcoming program. We began with our Top 150 startups and narrowed it down to 45, who were invited to our HQ for Selection Day. From there, our partners selected the most promising startups to join our Insurtech Program. Today, we welcome 23 innovative startups to our SV Batch 17 Program: ?? Property and Casualty Group: Qumis, Testudo, 7Analytics, Excarta, Faura, Fair, BluePond AI, Ace AI ?? General Group: Glean, Airbyte, Replicant, Emerge, Resistant AI, weav.ai | Enterprise AI Copilots, Graphio.ai ?? Life, Health and Employee Benefits Group: Datavant, Annuities Genius, Beanstalk Benefits, t+1, Genomate Health, Xcela, Manifest, Smirk? We are excited to have them join our ecosystem. If you would like to meet them, please let us know. You can also connect with them during our November Summit. Don't miss out: https://lnkd.in/gfsFKtmT Once again, Congratulations to Insurtech SV Batch 17 Startups. ?? Alexander Tran Andres Diaz Martinez Brenda Flores-Reyes Daisy (Xiaoyi) Li Eugenio Gonzalez Francesco Carmisciano Junko Hayashida Pierrick Guetin Rafael Sainz Sainz de Baranda Sean V. Sergio R. Insuasti Stephen Fay
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