Xcout Intel
sieve
Sieve provides curated multimodal data—including video, audio, images, and interaction datasets—to train and evaluate frontier artificial intelligence models. The company serves leading AI labs, Fortune 100 companies, and AI startups by sourcing, filtering, indexing, annotating, and securely delivering training-ready data.
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sieve at a glance
sieve is an ai/ml company. Its most recent funding round raised $30,000 in May 2017. Xcout recorded 19 job postings from sieve in the last 90 days, naming tools such as PyTorch.
sieve funding rounds
Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| SEC Form D filing | $30,000 | — |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Hiring at sieve
Xcout recorded 19 job postings from sieve in the last 90 days, from a hiring record Xcout has kept since May 2026.
Tools named in sieve's job postings
The weekly hiring trend, the roles and locations behind it — see sieve's hiring signals →
Tech stack
sieve competitors
A few of sieve's closest competitors — see the full list of competitors and alternatives →
Scale provides data, evaluations, and AI systems for enterprises, governments, and AI labs. The company offers solutions across the AI stack, including training data generation and human-in-the-loop application deployment.
DataHive AI sources, creates, and labels high-quality datasets in text, image, video, and audio formats for AI and machine learning training.
Human Archive operates a data lab that collects, labels, and synchronizes multimodal human data, including video, sensor, audio, and motion capture data. The company serves researchers and industry partners by providing foundational datasets to model human embodied intelligence, advance spatial computing, and automate manual labor.
Luel operates a multi-modal AI lab and data marketplace that develops machine perception systems using a proprietary continuous data engine. The company provides AI training data and builds foundational models designed to process and reason across multiple modalities.
Snorkel AI builds specialized training data, benchmarks, and evaluation environments. These tools help frontier models and agents perform effectively in high-stakes domains.
The Agentic Data Company designs, collects, and provides consented, licensed audio datasets for labs training speech models. The company records real human conversations at scale—including task-oriented calls, accented English, and multilingual dialogues—to help frontier labs improve model performance in turn-taking, intent recognition, and natural speech.
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More on sieve in Xcout Intel
- 1 funding round with the investors in each, and who they co-invest with
- Weekly hiring history and the mix of roles behind it
- The full competitor set, tracking, exports and API access