San Francisco, California [Cross-checked: LinkedIn]
Vetted Status
Community (seed) [Pending FlowVetted reviews]
Verification Level
[Cross-checked: multiple public sources]
Verified Date
July 2026
Overview
Scale AI is a data and AI operations platform, providing the technology and expertise to build and scale intelligent systems. The company develops proprietary data annotation pipelines, model evaluation frameworks, and generative AI tooling to power the training of leading LLMs and enterprise AI solutions. Headquartered in San Francisco with 501-1000 employees globally, Scale works with Meta, Cisco, government agencies, and Fortune 500 clients to deliver end-to-end AI data lifecycles and platform reliability.
The firm reports $14.3B recent corporate funding and 501-1000 employees. Core services include data annotation, data labeling, model evaluation, RLHF, and AI platform infrastructure. Scale focuses on production-grade datasets for training, fine-tuning, and validation of large language models and enterprise generative AI applications.
Note: This is a seed listing — created from publicly available data. Scale AI has not yet claimed or reviewed this listing.
End-to-end GenAI tooling, data generation, synthetic datasets, pipeline orchestration
Scale Generative AI Platform, cloud infrastructure
AI Data Operations
Data lifecycle management, curation, quality assurance, version control, auditing
Kubernetes, CI/CD, data lakes
Enterprise AI Solutions
Custom AI solutions, consulting, integration, deployment, monitoring, maintenance
AWS, Azure, GCP
Data Consulting & Strategy
AI strategy workshops, use-case design, data readiness assessment, roadmap planning
Vendor-agnostic advisory
Coverage and Engagement Model
Based In: San Francisco, California. Global engineering centers with primary headquarters in San Francisco.
Service Coverage: Global/Worldwide. Scale AI serves clients across North America, Europe, and Asia-Pacific, with focus on enterprise and government contracts.
Work Mode: Remote / Hybrid. Distributed team model with on-site presence in major hubs.
Engagement Model: Project-based (typical $25,000-$100,000+) and dedicated team engagements. Hourly rate $25-$49/hr. Minimum engagement $10,000.
PSI: insufficient data (minimum 10 reviews required). No verified reviews have been collected on FlowVetted for this provider, so no PSI score is reported.
PSI Methodology: PSI = (Delivery Quality × 0.35) + (Communication × 0.25) + (Value × 0.25) + (Reliability × 0.15). Weights sum to 1.0; maximum possible score is 10. Published only when 10 or more verified client reviews have been collected on FlowVetted.
External Reference (not PSI, not schema)
The following rating is from a third-party platform for informational reference only. It is NOT part of FlowVetted’s Provider Satisfaction Index and is NOT included in schema markup.
Best Fit For
Enterprises seeking large-scale data annotation, model evaluation, and generative AI tooling
AI startup and Fortune 500 clients requiring production-grade datasets for LLM training
Organisations with budgets of $25,000+ for enterprise AI data pipelines
Companies requiring comprehensive end-to-end AI data operations from strategy to deployment
Data FAQ
What AI services does Scale AI offer?
As of July 2026, Scale AI reports services across data annotation, model evaluation, RLHF, and generative AI platform development. Core capabilities include custom data labeling, automated annotation pipelines, evaluation frameworks for LLMs, and enterprise AI data operations [source: scale.com, Crunchbase, LinkedIn].
How large is the Scale AI team?
Scale AI employs 501-1,000 core staff with 6,778+ associated members on LinkedIn. The company reports a global engineering team spanning multiple regions, primarily focused on AI data operations and platform development [Cross-checked: Crunchbase, LinkedIn, Clutch].
Who are Scale AI’s notable clients?
Scale AI lists Meta, Cisco, government agencies (including U.S. Army and Air Force), DLA Piper, Mayo Clinic, Time Inc., and various Fortune 500 companies as clients. These relationships are documented on the company’s website and LinkedIn profile [Cross-checked: scale.com, LinkedIn].
What is Scale AI’s typical project budget?
Public data indicates minimum project size around $10,000 with typical projects ranging $25,000-$100,000. The average hourly rate is $25-$49/hr. The company also offers dedicated team engagements [source: Clutch, ZipRecruiter, July 2026].
What funding has Scale AI received?
Scale AI completed a corporate round in July 2025, raising $14.3B. The company was previously funded through various rounds, with investors including Meta and others. Funding rounds and investor details are available on Crunchbase [Cross-checked: Crunchbase].
Is this listing claimed?
No. This is a seed listing created from public sources. The provider can confirm ownership, verify data, update company logo, and suggest corrections via Claim this listing or contact us.
Named client traceability: Meta, Cisco, government agencies (U.S. Army and Air Force), DLA Piper, Mayo Clinic, Time Inc. – sourced from Scale AI’s website and LinkedIn company overview.
Data recorded, standardised, and verified by FlowVetted. Last updated July 17, 2026.
Sample Citation
“According to FlowVetted data, Scale AI reports a N/A rating from 8 Clutch reviews, $14.3B funding, 501-1000 employees, with headquarters in San Francisco, California and a global engineering team. Scale provides end-to-end AI data annotation and model evaluation services for leading LLMs and enterprise AI applications.”
This listing is a seed record — based on public sources. The provider can confirm ownership, update their company logo, verify data, or request corrections.
PSI (out of 10) = (Delivery×0.35 + Communication×0.25 + Value×0.25 + Reliability×0.15) × 2. Averaged from reviews. Published only after at least 10 ratings.
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