sieve
sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents bu
Y Combinator
yc-company-directory #256sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents bu
sourceY Combinator
yc-company-directory #5045Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding
sourcesieve is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to sieve
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Zomma
match 91Zomma builds Computer Use Agents that do the repetitive screen work in finance: logging into portals, pulling reports, reconciling books, and filling forms across systems that will never get an API. Our agents use the same screens your ops team uses today, so there is no integration project. Every action stops for human approval before anything submits. Hedge funds, asset managers, and fintech firms use Zomma for reconciliation, client onboarding, KYC, and investor reporting: the work that was n
shared extracted concepts: api, hedge funds; shared product terms: hedge, fund, firm, human; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
DreamCraft Entertainment, Inc.
match 72DreamCraft enables anyone to create, publish, and monetize video games. The company’s core product is a code-free game creation platform, bundled with high quality art assets. DreamCraft is backed by March Capital, Makers Fund, Tencent Corporation, Y Combinator, and other top investors in the gaming space. The company was founded in 2018 and now has a global team of 20+ people with half remote and half based in Silicon Valley.
shared extracted concept terms: gaming; shared product terms: video, code, high, quality; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Miru
match 71Miru makes it easy for robotics teams to manage, version, and deploy robot configurations. Developers use our well-documented APIs and UI components to automate configuration updates for both engineers and operators. In the long term, we're building software infrastructure to accelerate the automation of the physical world.
shared extracted concept terms: pipeline, infrastructure, robotic; shared product terms: robotic, engineer, infrastructure, pipeline; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Guggy
match 66Guggy developed two innovative communication and creation products that reached global audiences. The Guggy API was a high-scale contextual messaging engine that analyzed text messages—including slang and short conversational fragments—to understand their meaning and automatically generate matching GIF responses. It combined a custom NLP engine, a relevance-matching system, and a real-time GIF regeneration pipeline, and was integrated into leading messaging platforms such as Facebook Messenger,
shared extracted concept terms: pipeline, scale; shared product terms: communication, api, high, scale; shared product theme: developer infrastructure; shared affiliation: Y Combinator
primitive
match 53Building the communication infrastructure needed for fully autonomous agents
shared extracted concept terms: communication, infrastructure; shared product terms: communication, infrastructure, need; shared product theme: developer infrastructure; same category: AI agents; shared affiliation: Y Combinator
Datamode
match 45We're building a tool to help data engineers diagnose problems in their data pipelines. Datamode integrates with the technologies you use to provide a single place to start investigating problems and reduce the mean time to diagnosis. This means higher data quality and improved reliability for the business.
shared extracted concepts: data pipelines; shared product terms: engineer, pipeline, integrate, quality; shared affiliation: Y Combinator