Allsite

Enter password to view Website Audit

Analysis

Website

Dataloop

Analysis

Website

Dataloop

Analysis

Website

Dataloop

Published on

2026-03-24

For

Dataloop

Score

19

End-to-end AI data management and annotation platform. Founded 2017 by Eran Shlomo (CEO, ex-Intel 13 years), Avi Yashar (CPO, ex-Intel), and Nir Buschi (CBO). Products: Data annotation (images, video, LiDAR, audio, text — bounding boxes, polygons, keypoints, segmentation), Data management (versioning, querying, metadata management, visualization), Data pipeline automation (Python SDK, REST API, serverless FaaS on Kubernetes), AI Workflow Marketplace (100+ pre-built templates for active learning, GenAI validation, RAG workflows, AI agent building, LiDAR annotation). Recent: Government Acquisitions Inc. partnership (June 2025), Qualcomm partnership (October 2024). Enterprise customers: Intel, Toyota, LinkedIn, Vimeo + hundreds more. Industries: retail, agriculture, robotics, autonomous vehicles, construction. Use cases: active learning, GenAI validation, AI Agent training, RAG workflows, DataOps. Funding: $50M total ($5M seed 2019; $11M Series A 2020; $33M Series B November 2022, NGP Capital + Alpha Wave lead; last round 40+ months ago). 89 employees.

Market

AI Data Management / Data Annotation / Computer Vision / ML Pipeline Automation / Enterprise AI Infrastructure

Audience

ML engineers at enterprises managing complex computer vision pipelines; data science teams needing developer-first annotation with Python SDK integration; AI teams at automotive and semiconductor companies needing production-grade data management; government AI program managers evaluating data infrastructure platforms

HQ

Herzliya, Israel (also US and Europe)

Website

Dataloop — End-to-End AI Data Management Platform

ContentContentContentContentContentContentStrategySEOContentFreshness

Content

5

Content

8

Content

10

Content

13

Content

16

Content

20

Strategy

24

SEO

27

Content

30

Freshness

33

Content

Intel + Toyota + LinkedIn + Vimeo — Named Enterprise Anchor Customers Not in Hero

Score

5

Severity

High

Finding

VentureBeat and NGP Capital confirm: 'enterprise customers including major brands such as Intel, Toyota, LinkedIn and Vimeo.' Intel and Toyota are tier-1 enterprise anchor customers in the semiconductor/automotive space — the two most important verticals for CV annotation. Having both validates Dataloop's enterprise-readiness.

Recommendation

Feature the anchor logos: '[Intel] [Toyota] [LinkedIn] [Vimeo] — four Fortune 500 companies across four industries trust Dataloop with their most critical AI training data pipelines. [See customers →]'

Content

Intel + Toyota + LinkedIn + Vimeo — Named Enterprise Anchor Customers Not in Hero

Score

5

Severity

High

Finding

VentureBeat and NGP Capital confirm: 'enterprise customers including major brands such as Intel, Toyota, LinkedIn and Vimeo.' Intel and Toyota are tier-1 enterprise anchor customers in the semiconductor/automotive space — the two most important verticals for CV annotation. Having both validates Dataloop's enterprise-readiness.

Recommendation

Feature the anchor logos: '[Intel] [Toyota] [LinkedIn] [Vimeo] — four Fortune 500 companies across four industries trust Dataloop with their most critical AI training data pipelines. [See customers →]'

Content

Intel + Toyota + LinkedIn + Vimeo — Named Enterprise Anchor Customers Not in Hero

Score

5

Severity

High

Finding

VentureBeat and NGP Capital confirm: 'enterprise customers including major brands such as Intel, Toyota, LinkedIn and Vimeo.' Intel and Toyota are tier-1 enterprise anchor customers in the semiconductor/automotive space — the two most important verticals for CV annotation. Having both validates Dataloop's enterprise-readiness.

Recommendation

Feature the anchor logos: '[Intel] [Toyota] [LinkedIn] [Vimeo] — four Fortune 500 companies across four industries trust Dataloop with their most critical AI training data pipelines. [See customers →]'

Content

AI Agent Workflow Builder — Pre-Built Pipeline Marketplace — Not in Hero

Score

8

Severity

High

Finding

Tracxn confirms: 'Dataloop Ai Launches A Marketplace To Drastically Enhance AI Development Processes And Slash Time-to-market' (March 2024). And the Dataloop website confirms: 'a marketplace of pre-created AI workflows, allowing teams to jumpstart their development with hundreds of pre-built pipeline templates, great datasets and the latest models.' Pre-built pipelines for active learning, GenAI validation, RAG workflows, and DataOps are the most time-saving features in the platform.

Recommendation

Feature the marketplace: 'Dataloop Marketplace: Hundreds of pre-built AI workflows for active learning, GenAI validation, AI agent building, RAG, and LiDAR annotation. Don't build from scratch. Start with templates, then customize. [Explore the marketplace →]'

Content

AI Agent Workflow Builder — Pre-Built Pipeline Marketplace — Not in Hero

Score

8

Severity

High

Finding

Tracxn confirms: 'Dataloop Ai Launches A Marketplace To Drastically Enhance AI Development Processes And Slash Time-to-market' (March 2024). And the Dataloop website confirms: 'a marketplace of pre-created AI workflows, allowing teams to jumpstart their development with hundreds of pre-built pipeline templates, great datasets and the latest models.' Pre-built pipelines for active learning, GenAI validation, RAG workflows, and DataOps are the most time-saving features in the platform.

Recommendation

Feature the marketplace: 'Dataloop Marketplace: Hundreds of pre-built AI workflows for active learning, GenAI validation, AI agent building, RAG, and LiDAR annotation. Don't build from scratch. Start with templates, then customize. [Explore the marketplace →]'

Content

AI Agent Workflow Builder — Pre-Built Pipeline Marketplace — Not in Hero

Score

8

Severity

High

Finding

Tracxn confirms: 'Dataloop Ai Launches A Marketplace To Drastically Enhance AI Development Processes And Slash Time-to-market' (March 2024). And the Dataloop website confirms: 'a marketplace of pre-created AI workflows, allowing teams to jumpstart their development with hundreds of pre-built pipeline templates, great datasets and the latest models.' Pre-built pipelines for active learning, GenAI validation, RAG workflows, and DataOps are the most time-saving features in the platform.

Recommendation

Feature the marketplace: 'Dataloop Marketplace: Hundreds of pre-built AI workflows for active learning, GenAI validation, AI agent building, RAG, and LiDAR annotation. Don't build from scratch. Start with templates, then customize. [Explore the marketplace →]'

Content

Government Acquisitions Partnership (June 2025) — US Government Market — Not in Hero

Score

10

Severity

High

Finding

Tracxn confirms: 'Government Acquisitions, Inc. Partners with Dataloop to Accelerate AI Adoption for Government Agencies' (June 24, 2025). A partnership with Government Acquisitions, Inc. (a major government IT procurement firm) creates a direct sales channel into US federal and state agencies.

Recommendation

Feature the government partnership: 'Dataloop + Government Acquisitions, Inc.: AI data management for US government agencies. Available through established government procurement channels. [Government solutions →]'

Content

Government Acquisitions Partnership (June 2025) — US Government Market — Not in Hero

Score

10

Severity

High

Finding

Tracxn confirms: 'Government Acquisitions, Inc. Partners with Dataloop to Accelerate AI Adoption for Government Agencies' (June 24, 2025). A partnership with Government Acquisitions, Inc. (a major government IT procurement firm) creates a direct sales channel into US federal and state agencies.

Recommendation

Feature the government partnership: 'Dataloop + Government Acquisitions, Inc.: AI data management for US government agencies. Available through established government procurement channels. [Government solutions →]'

Content

Government Acquisitions Partnership (June 2025) — US Government Market — Not in Hero

Score

10

Severity

High

Finding

Tracxn confirms: 'Government Acquisitions, Inc. Partners with Dataloop to Accelerate AI Adoption for Government Agencies' (June 24, 2025). A partnership with Government Acquisitions, Inc. (a major government IT procurement firm) creates a direct sales channel into US federal and state agencies.

Recommendation

Feature the government partnership: 'Dataloop + Government Acquisitions, Inc.: AI data management for US government agencies. Available through established government procurement channels. [Government solutions →]'

Content

Qualcomm Partnership (October 2024) — Edge AI + Qualcomm Chipsets — Not in Hero

Score

13

Severity

Medium

Finding

Tracxn confirms: 'Dataloop AI partners with Qualcomm to boost AI model development' (October 22, 2024). Qualcomm partnership signals Dataloop's entry into edge AI development — models that run on Qualcomm chipsets in devices rather than cloud servers.

Recommendation

Feature the Qualcomm partnership: 'Dataloop × Qualcomm: AI model development for edge devices. Build, annotate, and deploy AI models optimized for Qualcomm-powered devices — from smartphones to IoT to automotive. [Edge AI capabilities →]'

Content

Qualcomm Partnership (October 2024) — Edge AI + Qualcomm Chipsets — Not in Hero

Score

13

Severity

Medium

Finding

Tracxn confirms: 'Dataloop AI partners with Qualcomm to boost AI model development' (October 22, 2024). Qualcomm partnership signals Dataloop's entry into edge AI development — models that run on Qualcomm chipsets in devices rather than cloud servers.

Recommendation

Feature the Qualcomm partnership: 'Dataloop × Qualcomm: AI model development for edge devices. Build, annotate, and deploy AI models optimized for Qualcomm-powered devices — from smartphones to IoT to automotive. [Edge AI capabilities →]'

Content

Qualcomm Partnership (October 2024) — Edge AI + Qualcomm Chipsets — Not in Hero

Score

13

Severity

Medium

Finding

Tracxn confirms: 'Dataloop AI partners with Qualcomm to boost AI model development' (October 22, 2024). Qualcomm partnership signals Dataloop's entry into edge AI development — models that run on Qualcomm chipsets in devices rather than cloud servers.

Recommendation

Feature the Qualcomm partnership: 'Dataloop × Qualcomm: AI model development for edge devices. Build, annotate, and deploy AI models optimized for Qualcomm-powered devices — from smartphones to IoT to automotive. [Edge AI capabilities →]'

Content

Python SDK + REST API + FaaS (Kubernetes) — Developer-First Architecture Not in Hero

Score

16

Severity

Medium

Finding

TechCrunch confirms: 'a Python SDK and REST API for developers, as well as a serverless Functions-as-a-Service environment that runs on top of a Kubernetes cluster for automating dataflows.' Developer-first architecture with a serverless FaaS layer distinguishes Dataloop from annotation-only platforms.

Recommendation

Feature developer tools: 'Dataloop for developers: Python SDK + REST API + serverless FaaS on Kubernetes. Integrate Dataloop into your existing ML pipelines, automate data flows, and orchestrate annotation at scale — all through code. [Developer docs →]'

Content

Python SDK + REST API + FaaS (Kubernetes) — Developer-First Architecture Not in Hero

Score

16

Severity

Medium

Finding

TechCrunch confirms: 'a Python SDK and REST API for developers, as well as a serverless Functions-as-a-Service environment that runs on top of a Kubernetes cluster for automating dataflows.' Developer-first architecture with a serverless FaaS layer distinguishes Dataloop from annotation-only platforms.

Recommendation

Feature developer tools: 'Dataloop for developers: Python SDK + REST API + serverless FaaS on Kubernetes. Integrate Dataloop into your existing ML pipelines, automate data flows, and orchestrate annotation at scale — all through code. [Developer docs →]'

Content

Python SDK + REST API + FaaS (Kubernetes) — Developer-First Architecture Not in Hero

Score

16

Severity

Medium

Finding

TechCrunch confirms: 'a Python SDK and REST API for developers, as well as a serverless Functions-as-a-Service environment that runs on top of a Kubernetes cluster for automating dataflows.' Developer-first architecture with a serverless FaaS layer distinguishes Dataloop from annotation-only platforms.

Recommendation

Feature developer tools: 'Dataloop for developers: Python SDK + REST API + serverless FaaS on Kubernetes. Integrate Dataloop into your existing ML pipelines, automate data flows, and orchestrate annotation at scale — all through code. [Developer docs →]'

Content

Active Learning + GenAI Validation + RAG Workflows + AI Agent Building — Emerging Use Cases Not in Hero

Score

20

Severity

Medium

Finding

The Dataloop website confirms use cases: 'active learning workflows, validating GenAI, building AI Agents, building RAG workflows, DataOps and LiDAR data annotation.' The expansion from CV annotation to LLM evaluation and agent building is the key 2024-2025 strategic pivot.

Recommendation

Feature the GenAI use cases: 'Dataloop for GenAI: Validate LLM outputs. Build RLHF pipelines. Create RAG evaluation datasets. Build AI Agent training data. The same platform that powers autonomous vehicle annotation now powers the human feedback workflows for your LLMs. [GenAI use cases →]'

Content

Active Learning + GenAI Validation + RAG Workflows + AI Agent Building — Emerging Use Cases Not in Hero

Score

20

Severity

Medium

Finding

The Dataloop website confirms use cases: 'active learning workflows, validating GenAI, building AI Agents, building RAG workflows, DataOps and LiDAR data annotation.' The expansion from CV annotation to LLM evaluation and agent building is the key 2024-2025 strategic pivot.

Recommendation

Feature the GenAI use cases: 'Dataloop for GenAI: Validate LLM outputs. Build RLHF pipelines. Create RAG evaluation datasets. Build AI Agent training data. The same platform that powers autonomous vehicle annotation now powers the human feedback workflows for your LLMs. [GenAI use cases →]'

Content

Active Learning + GenAI Validation + RAG Workflows + AI Agent Building — Emerging Use Cases Not in Hero

Score

20

Severity

Medium

Finding

The Dataloop website confirms use cases: 'active learning workflows, validating GenAI, building AI Agents, building RAG workflows, DataOps and LiDAR data annotation.' The expansion from CV annotation to LLM evaluation and agent building is the key 2024-2025 strategic pivot.

Recommendation

Feature the GenAI use cases: 'Dataloop for GenAI: Validate LLM outputs. Build RLHF pipelines. Create RAG evaluation datasets. Build AI Agent training data. The same platform that powers autonomous vehicle annotation now powers the human feedback workflows for your LLMs. [GenAI use cases →]'

Strategy

$50M Total Raised (Last Round November 2022) — Funding Gap Signal — 40+ Months

Score

24

Severity

High

Finding

All sources confirm Dataloop's last funding round was Series B ($33M) in November 2022 — 40+ months ago. In an AI data market that has seen massive rounds (Scale AI $14.3B, Encord $60M, SuperAnnotate $50M), 40 months without new funding may concern enterprise procurement teams evaluating vendor longevity.

Recommendation

Address the funding gap directly: Publish a company update blog post: 'Dataloop in 2025-2026: Revenue growth, enterprise expansion, and why we chose profitability over fundraising. Intel, Toyota, LinkedIn, and Vimeo are customers — not investors. Our business is built on customer revenue. [Company update →]'

Strategy

$50M Total Raised (Last Round November 2022) — Funding Gap Signal — 40+ Months

Score

24

Severity

High

Finding

All sources confirm Dataloop's last funding round was Series B ($33M) in November 2022 — 40+ months ago. In an AI data market that has seen massive rounds (Scale AI $14.3B, Encord $60M, SuperAnnotate $50M), 40 months without new funding may concern enterprise procurement teams evaluating vendor longevity.

Recommendation

Address the funding gap directly: Publish a company update blog post: 'Dataloop in 2025-2026: Revenue growth, enterprise expansion, and why we chose profitability over fundraising. Intel, Toyota, LinkedIn, and Vimeo are customers — not investors. Our business is built on customer revenue. [Company update →]'

Strategy

$50M Total Raised (Last Round November 2022) — Funding Gap Signal — 40+ Months

Score

24

Severity

High

Finding

All sources confirm Dataloop's last funding round was Series B ($33M) in November 2022 — 40+ months ago. In an AI data market that has seen massive rounds (Scale AI $14.3B, Encord $60M, SuperAnnotate $50M), 40 months without new funding may concern enterprise procurement teams evaluating vendor longevity.

Recommendation

Address the funding gap directly: Publish a company update blog post: 'Dataloop in 2025-2026: Revenue growth, enterprise expansion, and why we chose profitability over fundraising. Intel, Toyota, LinkedIn, and Vimeo are customers — not investors. Our business is built on customer revenue. [Company update →]'

SEO

'AI Data Management Platform' / 'Dataloop vs Labelbox' / 'Annotation Platform Israel' — Category Terms

Score

27

Severity

Low

Finding

Dataloop's primary search terms: 'end-to-end AI data management platform,' 'Dataloop vs Encord vs Scale AI,' 'Israeli annotation platform for enterprise,' 'data pipeline automation for ML.' These come from ML platform engineers and data science leads evaluating annotation and data management platforms.

Recommendation

Create comparison content: dataloop.ai/vs-encord. 'Dataloop vs. Encord: Both serve physical AI and computer vision workflows. Dataloop differentiates with its serverless FaaS pipeline automation (Kubernetes-native), the AI marketplace with 100+ pre-built templates, and partnerships with Intel and Toyota that validate automotive and semiconductor use cases.'

SEO

'AI Data Management Platform' / 'Dataloop vs Labelbox' / 'Annotation Platform Israel' — Category Terms

Score

27

Severity

Low

Finding

Dataloop's primary search terms: 'end-to-end AI data management platform,' 'Dataloop vs Encord vs Scale AI,' 'Israeli annotation platform for enterprise,' 'data pipeline automation for ML.' These come from ML platform engineers and data science leads evaluating annotation and data management platforms.

Recommendation

Create comparison content: dataloop.ai/vs-encord. 'Dataloop vs. Encord: Both serve physical AI and computer vision workflows. Dataloop differentiates with its serverless FaaS pipeline automation (Kubernetes-native), the AI marketplace with 100+ pre-built templates, and partnerships with Intel and Toyota that validate automotive and semiconductor use cases.'

SEO

'AI Data Management Platform' / 'Dataloop vs Labelbox' / 'Annotation Platform Israel' — Category Terms

Score

27

Severity

Low

Finding

Dataloop's primary search terms: 'end-to-end AI data management platform,' 'Dataloop vs Encord vs Scale AI,' 'Israeli annotation platform for enterprise,' 'data pipeline automation for ML.' These come from ML platform engineers and data science leads evaluating annotation and data management platforms.

Recommendation

Create comparison content: dataloop.ai/vs-encord. 'Dataloop vs. Encord: Both serve physical AI and computer vision workflows. Dataloop differentiates with its serverless FaaS pipeline automation (Kubernetes-native), the AI marketplace with 100+ pre-built templates, and partnerships with Intel and Toyota that validate automotive and semiconductor use cases.'

Content

Nir Buschi + Avi Yashar + Eran Shlomo — Intel Alumni Founders — Credibility Not in Hero

Score

30

Severity

Low

Finding

TechCrunch confirms: 'I worked at Intel for over 13 years, and that's where I met Dataloop's second co-founder and CPO, Avi Yashar.' Intel alumni founding an AI data platform signals deep enterprise software experience — the same engineering culture that builds production ML systems for the world's largest semiconductor company.

Recommendation

Feature the founders: 'Founded by Eran Shlomo and Avi Yashar — veterans of Intel's AI and data programs. They built Dataloop because they saw from the inside exactly how enterprise annotation breaks at scale. [About us →]'

Content

Nir Buschi + Avi Yashar + Eran Shlomo — Intel Alumni Founders — Credibility Not in Hero

Score

30

Severity

Low

Finding

TechCrunch confirms: 'I worked at Intel for over 13 years, and that's where I met Dataloop's second co-founder and CPO, Avi Yashar.' Intel alumni founding an AI data platform signals deep enterprise software experience — the same engineering culture that builds production ML systems for the world's largest semiconductor company.

Recommendation

Feature the founders: 'Founded by Eran Shlomo and Avi Yashar — veterans of Intel's AI and data programs. They built Dataloop because they saw from the inside exactly how enterprise annotation breaks at scale. [About us →]'

Content

Nir Buschi + Avi Yashar + Eran Shlomo — Intel Alumni Founders — Credibility Not in Hero

Score

30

Severity

Low

Finding

TechCrunch confirms: 'I worked at Intel for over 13 years, and that's where I met Dataloop's second co-founder and CPO, Avi Yashar.' Intel alumni founding an AI data platform signals deep enterprise software experience — the same engineering culture that builds production ML systems for the world's largest semiconductor company.

Recommendation

Feature the founders: 'Founded by Eran Shlomo and Avi Yashar — veterans of Intel's AI and data programs. They built Dataloop because they saw from the inside exactly how enterprise annotation breaks at scale. [About us →]'

Freshness

Last Funding November 2022 — Government Acquisitions Partnership June 2025 — Qualcomm October 2024 — Not Featured

Score

33

Severity

Low

Finding

The Qualcomm partnership (October 2024) and Government Acquisitions partnership (June 2025) are the two most significant recent commercial milestones. Neither is in the homepage hero.

Recommendation

Update the trust bar: 'June 2025 — Government Acquisitions, Inc. partnership launched · October 2024 — Qualcomm partnership for edge AI · Intel · Toyota · LinkedIn · Vimeo. Dataloop: Building AI data infrastructure for the world's most demanding enterprises. [See our milestones →]'

Freshness

Last Funding November 2022 — Government Acquisitions Partnership June 2025 — Qualcomm October 2024 — Not Featured

Score

33

Severity

Low

Finding

The Qualcomm partnership (October 2024) and Government Acquisitions partnership (June 2025) are the two most significant recent commercial milestones. Neither is in the homepage hero.

Recommendation

Update the trust bar: 'June 2025 — Government Acquisitions, Inc. partnership launched · October 2024 — Qualcomm partnership for edge AI · Intel · Toyota · LinkedIn · Vimeo. Dataloop: Building AI data infrastructure for the world's most demanding enterprises. [See our milestones →]'

Freshness

Last Funding November 2022 — Government Acquisitions Partnership June 2025 — Qualcomm October 2024 — Not Featured

Score

33

Severity

Low

Finding

The Qualcomm partnership (October 2024) and Government Acquisitions partnership (June 2025) are the two most significant recent commercial milestones. Neither is in the homepage hero.

Recommendation

Update the trust bar: 'June 2025 — Government Acquisitions, Inc. partnership launched · October 2024 — Qualcomm partnership for edge AI · Intel · Toyota · LinkedIn · Vimeo. Dataloop: Building AI data infrastructure for the world's most demanding enterprises. [See our milestones →]'

Frequently asked

What kind of companies do you work with?

We work with ambitious tech companies — typically Series A and B — at the moment where the brand and website haven't kept pace with the business.

You've found product-market fit. Now you need to look the part, communicate clearly, and move fast enough to stay ahead.

That's the problem we're built for.

What does a typical project look like?
We've had bad experiences with agencies before. What's different?
Why Framer over other platforms?
How do we get started?
How does pricing work?

Recent work

Work

View more

Work

View more

V7 Labs
Enzai
Utila
Centific
Buena
trawa
Portex Global
Othello AI
Echo
Pools
Contentcloud
Wilson

Perspectives & Insights

Insights

View more

Insights

View more

Opinion Piece

Build an Operational System for Growth

The companies that win the next decade won't be defined by what they build. They'll be defined by how clearly they communicate, how fast they adapt, and how well their teams can move.

Opinion Piece

Everyone Has the Same Website Now

When the tools are identical, the outputs converge. Differentiation doesn't come from the prompt — it comes from the thinking behind it.

Opinion Piece

The ROI Was Never in the Launch

A website that your team can't operate isn't an asset — it's a cost centre with a good-looking front end.

Opinion Piece

Why Does Your Website Look Like Everyone Else's?

When the tools are identical, the output converges. Differentiation was never going to come from the prompt.

Opinion Piece

You're Using AI in the Wrong Place

AI doesn't replace the website build. It accelerates every step around it — if you know where to apply it.

Opinion Piece

AI can launch your website. It can’t run it.

AI builders are optimized for speed at the moment of creation. But real companies don’t struggle to launch — they struggle to keep things moving after. What looks fast on day one often turns into friction by week four.

Opinion Piece

Your website isn’t a design project — it’s your marketing system

Most companies still treat their website like something you launch and admire. In reality, it’s the system your entire marketing team depends on to execute. If it’s not built for continuous use, it becomes a bottleneck instead of an advantage.

Opinion Piece

Your Website Is No Longer an Engineering Problem

For a decade, developers owned the website. That era is over — and most companies haven't caught up yet.

Blazing fast brands &

Blazing fast brands &

Blazing fast brands &

websites for startups

websites for startups

websites for startups

Let's work together