# Cloudglue vs Sieve

Cloudglue records 2,738 monthly visits with -55.3% month-over-month growth and Freemium, Contact for Pricing pricing. Sieve records 124 monthly visits with +1.6% growth and Contact for Pricing pricing.

| Metric | [Cloudglue](https://openaitools.app/tool/cloudglue) | [Sieve](https://openaitools.app/tool/sieve) |
| :--- | :--- | :--- |
| Website URL | https://cloudglue.dev | https://www.sieve.ai |
| Categories | AI API, AI Video Summarizer, AI Video Search, AI Transcription | AI API, AI Dubbing, AI Video Translator, AI Video Editor |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 2,738 | 124 |
| MoM Growth Rate | -55.3% | +1.6% |
| Primary Market | United States | Global |
| Direct Visits | 1,073 | 54 |
| Review Score | 4.2 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Cloudglue

Cloudglue positions itself as the video context engine for modern AI. Instead of building a fragile pipeline of transcription, vision, and storage services, developers call Cloudglue's API to turn entire video libraries into rich, queryable context. The platform handles extraction, indexing, and retrieval so teams can focus on shipping features like chatbots with playable citations, cross-video search, and aggregate analysis reports.

A core capability is schema-driven structured extraction: you define the entities and fields you care about, and Cloudglue returns consistent structured data across every video in a collection. This makes it useful for media monitoring, sales call analysis, research corpora, and any workflow where you need the same shape of answer from thousands of hours of footage.

The company is backed by Y Combinator and markets strong throughput — processing roughly two hours of video in about three minutes — along with production-ready scaling. Pricing combines a freemium entry point with enterprise plans, and a newer Tinycloud agent product is aimed at non-developer video work. Because it is an API-first tool, the primary audience is engineering teams building AI products.

**Pricing & Plans:** Freemium with contact-for-pricing enterprise tiers. A free or low-cost entry tier supports evaluation and small workloads, while volume pricing and enterprise agreements are available on request.

- **Multimodal video extraction:** Pulls transcripts, speaker diarization, visual descriptions, and sound events from video and audio in one pipeline.
- **Structured schema extraction:** Define entities and fields once and get consistent structured JSON back across every video in a collection.
- **Search and chat over videos:** Enables chatbots and RAG systems that answer questions across video content with playable citations.
- **Collection-scale analysis:** Analyze thousands of hours of video and generate aggregate reports across a whole library.
- **Managed model upgrades:** Orchestrates and updates the underlying multimodal models so quality improves without code changes.

**Strengths:** API-first design removes the need to stitch together transcription, vision, and storage vendors; Schema-based extraction produces consistent structured output across videos; Fast processing of long videos relative to building your own pipeline; Managed model upgrades keep understanding quality current

**Limitations:** Primarily aimed at developers — no-code users may find it hard to adopt; Pricing for higher volumes requires contacting sales; Video understanding quality still depends on the underlying models

[Profile (Markdown)](https://openaitools.app/tool/cloudglue.md)

## Sieve

Sieve began life as a video API company offering endpoints for translation, dubbing, background removal, lipsync, autocrop and transcription. That product line has since been superseded: the company published an announcement titled "Reintroducing Sieve" describing its transition from video APIs to supplying multimodal data at petabyte scale, and the original sievedata.com domain now resolves to sieve.ai.

Today Sieve operates as a data lab for what it calls real-world intelligence. Instead of selling individual API calls, it works with frontier AI companies to design, capture, annotate and deliver high-quality training and evaluation data. Its public offerings include egocentric first-person video of economically valuable work with hand-pose and sensor annotations, custom multi-camera studio recordings, simulated and real-world robotics evaluations, virtual-world capture with synchronised control inputs and camera metadata, and datasets targeting motion, causality and spatial reasoning.

Underneath the data products sits serious infrastructure. Sieve has published engineering work on embedding one billion videos and querying tens of billions of vectors, which is the kind of stack you need to make petabyte-scale audiovisual archives searchable for model training. The practical route in is a conversation rather than a signup: visitors are pointed at "Talk to us" and "Request data" flows, and the company is actively hiring researchers and engineers.

**Pricing & Plans:** No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published.

- **Egocentric data capture:** First-person recordings of economically valuable physical work, paired with hand-pose, motion and synchronised sensor annotations.
- **Studio and custom rig recordings:** Multi-camera video and audio collection with bespoke rigs and controlled environments built to a client's specification.
- **Robotics evaluations:** Both simulated and real-world test suites that measure how well robot policies perform across tasks and conditions.
- **Large-scale media infrastructure:** Petabyte-scale synchronised video and audio datasets, including published engineering work on embedding a billion videos for retrieval.
- **Real-world reasoning datasets:** Datasets and benchmarks targeting motion, causality and spatial relationships for models that must reason about the physical world.

**Strengths:** Deep specialisation in hard-to-collect embodied and egocentric data; In-house research and infrastructure proven at billion-video scale; Offers evaluations alongside datasets, not just raw media; Works directly with frontier labs, which signals high data quality standards

**Limitations:** Pricing is quote-based, so there is no self-serve cost transparency; Most offerings require an engagement rather than instant API signup; Documentation for the older video API suite is no longer reachable at the previous docs domain; Overkill for teams that only need a single simple video-processing endpoint

[Profile (Markdown)](https://openaitools.app/tool/sieve.md)

## Frequently Asked Questions

### How do Cloudglue and Sieve compare in monthly traffic?

Cloudglue has 2,738 monthly visits, while Sieve has 124. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cloudglue has a month-over-month growth rate of -55.3%; Sieve has +1.6%.

### How does pricing compare?

Cloudglue: Freemium, Contact for Pricing. Freemium with contact-for-pricing enterprise tiers. A free or low-cost entry tier supports evaluation and small workloads, while volume pricing and enterprise agreements are available on request. Sieve: Contact for Pricing. No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Build, train, and deploy computer vision for the physical world | [.md](https://openaitools.app/tool/roboflow.md) |
| 3 | [Video Transcriber AI](https://openaitools.app/tool/video-transcriber-ai) | 1,320,064 | +11% | Freemium | Turn any video or audio into text in seconds | [.md](https://openaitools.app/tool/video-transcriber-ai.md) |
| 4 | [ImageKit](https://openaitools.app/tool/imagekit) | 947,721 | -13.7% | Freemium, Paid, Contact for Pricing | Real-time image and video APIs, agentic DAM and creative automation in one platform | [.md](https://openaitools.app/tool/imagekit.md) |
| 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | The data, evaluations and systems behind AI that has to be right. | [.md](https://openaitools.app/tool/scale.md) |
| 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |
| 7 | [AI or Not](https://openaitools.app/tool/ai-or-not) | 375,863 | +12.3% | Freemium, Contact for Pricing | Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes | [.md](https://openaitools.app/tool/ai-or-not.md) |
| 8 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 9 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Search foundation built from embeddings, rerankers, and reader APIs | [.md](https://openaitools.app/tool/jina-ai.md) |
| 10 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) |

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Source: https://openaitools.app/compare/cloudglue-vs-sieve

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