Sieve
Sieve is a San Francisco-based multimodal data lab, founded in 2022, that curates and licenses hundreds of petabytes of video, audio, image, and interaction data for frontier AI labs, Fortune 100 companies, and AI startups.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Sieve does
Sieve is a San Francisco-based multimodal data lab, founded in 2022, that supplies high-quality video, audio, image, and interaction data to frontier AI teams. The company curates hundreds of petabytes of multimodal content spanning real-world, digital, and simulated environments and runs it through a five-stage pipeline—Source, Filter, Index, Annotate, Deliver—to produce training-ready datasets, evaluation sets, and environments. Its core technology consists of purpose-built detectors and embeddings that index billions of items, paired with scoring systems for semantics, rights, artifacts, and task quality, plus dense annotations (captions, transcripts, object labels, temporal alignment, action metadata, camera signals, and human QA). The product portfolio comprises three lines: High Quality Video Data, Editing Pairs for controlled generation, and synchronized Audio-Visual Data.
Sieve's commercial posture is enterprise B2B with a direct field and inside sales motion. Pricing is quote-based and tied to data volume, task complexity, and annotation requirements, delivered through multi-year subscription contracts; ready-to-use datasets ship within days while custom data and environments ship on SLA. The customer base is stated to include leading AI labs, Fortune 100 companies, and fast-growing AI startups, served globally via website-driven discovery and direct engagement with research teams. Compliance posture (SOC 2 Type 2, end-to-end encryption, custom retention, licensing and consent workflows) is positioned as a procurement enabler for enterprise buyers.
The company has raised approximately $4.1 million across a 2022 Y Combinator pre-seed and a 2022 $4 million round led by Matrix with participation from AI Grant, Swift Ventures, and Y Combinator. Founders Mokshith Voodarla (CEO) and Abhinav Ayalur (CTO) lead the company, which operates with a 11–50 person team. No revenue, ARR, or subsequent funding rounds are disclosed in the available material.
Sieve firmographics
Firmographics- Name
- Sieve
- Legal name
- Sieve, Inc.
- Website
- https://sievedata.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Sieve is a San Francisco-based multimodal data lab, founded in 2022, that curates and licenses hundreds of petabytes of video, audio, image, and interaction data for frontier AI labs, Fortune 100 companies, and AI startups.
- Ownership category
- akta.pro rank
Where Sieve is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Sieve business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- Multimodal data licensing and access: B2B data licensing model where customers purchase access to datasets based on data volume, task complexity, and annotation requirements. Customers can buy ready-to-use datasets or custom data and environments on SLA.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Custom pricing based on dataset requirements |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
Sieve product offering
Product offeringCore offering
Sieve is a multimodal data lab that curates and licenses hundreds of petabytes of high-quality video, audio, image, and interaction data for training frontier AI models. It operates a five-stage pipeline using purpose-built detectors and embeddings to score and index data across real-world, digital, and simulated environments. Customers purchase ready-to-use datasets or commission custom data collection delivered on SLA.
Product overview
Sieve is a multimodal data lab offering a unified platform for high-quality AI training data. The product portfolio includes three core data offerings: High Quality Video Data (coherent scenes with clean motion, composition, physics, and storytelling), Editing Pairs (before-and-after media pairs for controlled generation), and Audio-Visual Data (synchronized video, image, speech, music, and sound). The company operates a five-stage pipeline—Source, Filter, Index, Annotate, and Deliver—to provide hundreds of petabytes of curated multimodal data to frontier AI teams. Sieve also offers custom data collection and dense annotations (captions, transcripts, object labels, action metadata) as part of their data preparation services.
Differentiator
Problem solved
Functional benefit
Products and services
- High Quality Video Data Curated video datasets featuring coherent scenes with clean motion, composition, physics, and storytelling, designed for training AI models on video generation and understanding tasks. Delivered as part of Sieve's multimodal data lab offerings to frontier AI teams.
- Editing Pairs Before-and-after media pairs enabling controlled generation and editing use cases for AI model training. Sold to frontier AI research teams building controllable video generation and editing models.
- Audio-Visual Data Synchronized datasets combining video, image, speech, music, and sound data with temporal alignment and transcripts. Built for AI teams training multimodal models that require audio-visual synchronization.
Quantifiable outcome
- Ready-to-use datasets delivered within days
- +1 more outcomes
Companies that use Sieve
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles3 records
Sieve technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability7 records
Feature4 records
Sieve partnerships and signals
Strategic signalScale indicators3 records
Recent moves5 records
Expansion highlights5 records
Sieve competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the largest AI training data provider, offering data labeling, curation, and evaluation services for foundation model developers — directly overlapping with Sieve's core multimodal data licensing business.
- Surge AI: Surge AI provides high-quality data labeling and evaluation for frontier AI labs, with a strong focus on RLHF and complex annotation — directly comparable to Sieve's dense annotation offerings.
- Labelbox: Labelbox provides a data-centric AI platform with annotation tools and human-in-the-loop labeling services for ML teams — comparable to Sieve's role in curating and annotating training datasets at scale.
- Snorkel AI: Snorkel AI builds data-centric AI platforms for programmatic labeling and weak supervision — overlapping with Sieve's pipeline of filtering, scoring, and annotating data for AI training.
- Datagen: Datagen provides synthetic visual data and data generation services for computer vision model training — adjacent to Sieve's curated real-world multimodal data offerings.
- Sama: Sama delivers high-quality annotated training data for AI applications with a focus on computer vision and large-model use cases — directly comparable to Sieve's video and image annotation services.
- CloudFactory: CloudFactory provides managed human-in-the-loop data annotation and AI data services — overlapping with Sieve's human QA and dense annotation layer in its multimodal pipeline.
- Toloka: Toloka provides crowdsourced data labeling and generation for AI, with growing focus on RLHF and multimodal annotation — comparable to Sieve's frontier AI lab customer base and annotation capabilities.
Broad incumbents
- Appen: Appen is a long-established data annotation vendor serving machine learning teams globally across text, image, audio, and video — broadly overlapping with Sieve's multimodal data preparation business at a larger scale.
Emerging players
- Roboflow: Roboflow offers computer vision dataset management and annotation tooling with growing multimodal capabilities — overlapping with Sieve's image and video data preparation for AI training.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks1 record
Key highlights6 records
Customer concentration
Sieve social profiles
Digital presenceSieve compliance and trust
Trust signalCompliance1 record
Sieve financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sieve leadership team
Management profileNumber of profiles
Profiles2 records
Sieve funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sieve M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sieve
What does Sieve do?
Sieve is a multimodal data lab that curates and licenses hundreds of petabytes of high-quality video, audio, image, and interaction data for training frontier AI models. It operates a five-stage pipeline using purpose-built detectors and embeddings to score and index data across real-world, digital, and simulated environments. Customers purchase ready-to-use datasets or commission custom data collection delivered on SLA.
Is Sieve a public or private company?
Sieve is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sieve founded?
Sieve was founded in 2022. It employs 11 to 50 people.
Where is Sieve based?
Sieve is headquartered in San Francisco, United States, in the North America region.
How does Sieve make money?
One revenue line is on record: multimodal data licensing and access.
Who are Sieve's main competitors?
Direct peers on record are Scale AI, Surge AI, Labelbox, Snorkel AI, Datagen, Sama, CloudFactory and Toloka. Appen is listed as a broad incumbent. Roboflow is listed as an emerging player.
Does Sieve have an API?
No public API is recorded for Sieve.