List of Reka AI Customers
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United States
Since 2010, our global team of researchers has been studying Reka AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Reka AI for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Reka AI for Generative AI Platforms include: Shutterstock, a United States based Professional Services organisation with 1715 employees and revenues of $935.0 million, Appen, a Australia based Professional Services organisation with 1386 employees and revenues of $247.0 million, Turing Video, a United States based Manufacturing organisation with 120 employees and revenues of $12.0 million, Reka AI, a United States based Professional Services organisation with 30 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Reka AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Reka AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Appen | Professional Services | 1386 | $247M | Australia | Reka AI | Reka AI | Generative AI Platforms | 2023 | n/a |
In 2023, Appen announced a partnership to implement Reka AI within its Generative AI Platforms portfolio to accelerate AI/model development and the data lifecycle process area. The engagement centers on enterprise-grade custom model development combining Appen capabilities with Reka AI multimodal foundation models to shorten paths to production readiness.
Implementation scope focuses on fine-tuning, rigorous model evaluation, and secure deployment of customized foundation models. Functional modules and capabilities described include fine-tuning pipelines, evaluation workflows for model quality and bias assessment, and deployment orchestration to support production-ready inference consistent with Generative AI Platforms operational patterns.
Operational integration pairs Appen data services and model evaluation expertise with Reka AI multimodal LLM capabilities, creating end-to-end coverage from data collection and labeling through training and evaluation. The collaboration has a global focus for enterprise customers and emphasizes secure handling of training data and evaluation artifacts throughout the model lifecycle.
Governance and process restructuring emphasize stronger data governance and lifecycle controls, with model evaluation gates and secure deployment practices embedded into release workflows. Appen and Reka describe the outcome as enabling faster production-ready model delivery and stronger data governance for enterprise deployments.
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Reka AI | Professional Services | 30 | $3M | United States | Reka AI | Reka AI | Generative AI Platforms | 2024 | n/a |
In 2024, Reka AI implemented Reka AI, a Generative AI Platforms application deployed to support a 30-employee professional services firm based in the United States. The initial deployment focused on providing hosted model serving and developer API endpoints to accelerate client-facing automation and internal product development, with a configuration scope sized for small team operations rather than enterprise-scale clusters. The Reka AI application was positioned as the primary platform for generating client deliverables and embedding generative workflows into consulting engagements.
The implementation included core Generative AI Platforms capabilities such as prompt orchestration, model management and versioning, fine-tuning workflows, embedding management, and a document ingestion pipeline for knowledge-grounded generation. Configuration emphasized role-based access controls, usage telemetry for observability, and modular model pipelines to separate inference, tuning, and data preparation stages. The Reka AI application name and its Generative AI Platforms capabilities were explicitly used to centralize content generation, code assist, and knowledge retrieval within product and delivery pipelines.
Operational coverage spanned product, engineering, and client delivery teams, with governance built around access policies and review workflows for prompt and data handling. Deployment architecture favored API-driven access for internal tooling and client integrations, and governance processes focused on model stewardship, prompt review, and data handling controls to align operational use with professional services engagements. The implementation narrative centers on Reka AI, the Generative AI Platforms application adopted in 2024, as the platform standardizing generative workflows across the organization.
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Shutterstock | Professional Services | 1715 | $935M | United States | Reka AI | Reka AI | Generative AI Platforms | 2024 | n/a |
In 2024, Shutterstock implemented Reka AI, a Generative AI Platforms solution, to apply Reka Vision multimodal models for enriching and augmenting metadata across its image and video library. The project targeted the content and media process area within Shutterstock's United States operations, with the explicit goal of improving searchability and tagging for creative assets.
The implementation centered on Reka AI multimodal vision and metadata-tagging capabilities, configured to analyze visual frames and generatesemantic labels and descriptive metadata for catalog records. Configuration work focused on automated metadata augmentation, taxonomy alignment, and producing standardized descriptive fields to improve catalog consistency and discoverability.
Integration work connected Reka models directly with Shutterstock's asset catalog and search index, embedding generated metadata into existing catalog fields and ingestion workflows. Governance adjustments included introducing validation checkpoints and workflow updates so model outputs feed into tagging and content management processes. Outcomes cited in the announcement include enhanced metadata quality and tighter integration between Reka models and Shutterstock's asset catalog.
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Manufacturing | 120 | $12M | United States | Reka AI | Reka AI | Generative AI Platforms | 2025 | n/a |
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Buyer Intent: Companies Evaluating Reka AI
- Bank of America, a United States based Banking and Financial Services organization with 213000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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