List of OpenAI Agents SDK Customers
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United States
Since 2010, our global team of researchers has been studying OpenAI Agents SDK 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 OpenAI Agents SDK for AI Frameworks and Libraries 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 OpenAI Agents SDK for AI Frameworks and Libraries include: Coinbase, a United States based Banking and Financial Services organisation with 3772 employees and revenues of $6.56 billion, Box Inc., a United States based Professional Services organisation with 2810 employees and revenues of $1.17 billion, Hebbia, a United States based Professional Services organisation with 150 employees and revenues of $15.0 million, Model ML, a United States based Banking and Financial Services organisation with 75 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using OpenAI Agents SDK, 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 OpenAI Agents SDK 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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Box Inc. | Professional Services | 2810 | $1.2B | United States | OpenAI | OpenAI Agents SDK | AI Frameworks and Libraries | 2025 | n/a |
In 2025, Box implemented the OpenAI Agents SDK to embed AI agents into its enterprise content workflows, using the OpenAI Agents SDK as an AI Frameworks and Libraries application to extend content search and knowledge management capabilities. The implementation focused on enterprise content and knowledge management in the United States and targeted customer-facing research and support scenarios that require access to unstructured Box content.
Agents were configured to combine web search with enterprise content search, enabling retrieval-augmented generation style research over unstructured Box content. The deployment emphasized permission-aware retrieval and query pipelines, with agents designed to extract insights, synthesize findings, and surface context-aware answers from Box documents and metadata.
Integration work centered on connecting the OpenAI Agents SDK agents to Box content search APIs and enforcing Box access controls so document-level permissions and security policies are respected during queries. Operational coverage concentrated on knowledge management and customer-facing functions, where richer, context-aware responses to user queries were the primary objective.
Governance and rollout prioritized rapid prototyping and controlled experimentation, agents were created in days to accelerate iteration and validation. The implementation enabled rapid prototyping and surfaced richer, context-aware answers for customers while maintaining Box security and permission constraints.
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Coinbase | Banking and Financial Services | 3772 | $6.6B | United States | OpenAI | OpenAI Agents SDK | AI Frameworks and Libraries | 2025 | n/a |
In 2025, Coinbase implemented the OpenAI Agents SDK, an AI Frameworks and Libraries application, to prototype and deploy AgentKit on its Developer Platform. AgentKit was designed to enable agentic interactions with crypto wallets and on-chain activities, targeting finance and crypto developer workflows across the United States and exposing those capabilities through Coinbase Developer Platform APIs for developer consumption.
The implementation emphasized rapid prototyping and integration, producing a working prototype in just a few hours and demonstrating time-to-value for transactional and commerce-enabled agent use cases. Functional capabilities implemented include agent orchestration for multi-step flows, wallet interaction handling, and on-chain action triggers, with the OpenAI Agents SDK serving as the core AI Frameworks and Libraries component that drove developer-facing automation and workflow instrumentation.
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Hebbia | Professional Services | 150 | $15M | United States | OpenAI | OpenAI Agents SDK | AI Frameworks and Libraries | 2025 | n/a |
In 2025, Hebbia implemented OpenAI Agents SDK as part of its AI Frameworks and Libraries tooling to prototype and operationalize multi-step agentic research workflows. Hebbia concurrently leverages OpenAI’s web search tool Responses API to enrich research workflows for asset managers, private equity, and law practices, improving the precision and relevance of market and legal intelligence.
The implementation centers on agent orchestration and tool routing capabilities provided by OpenAI Agents SDK, with configuration of multi-step planning, contextual retrieval, and prompt template management to support iterative research sessions. Hebbia configures the Agents SDK to manage session state, invoke the Responses API for live web-search augmentation, and surface curated evidentiary snippets for downstream human review and synthesis.
Integrations explicitly include the Responses API for web-search enrichment, and operational coverage focuses on research teams serving asset management, private equity, and legal practice workflows. Governance is structured around staged pilot deployments with human-in-the-loop verification, source attribution logging, and relevance validation processes before broader rollout. The project is positioned to increase precision and relevance of market and legal intelligence through the OpenAI Agents SDK and Responses API combination.
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Model ML | Banking and Financial Services | 75 | $5M | United States | OpenAI | OpenAI Agents SDK | AI Frameworks and Libraries | 2025 | n/a |
In 2025 Model ML deployed the OpenAI Agents SDK as a core component of its AI Frameworks and Libraries stack to automate investment research and end-to-end workflow orchestration for financial services firms. The deployment uses OpenAI’s API platform including GPT-4.1, OpenAI o3 and o3-pro model variants alongside the OpenAI Agents SDK and MCP tooling, providing the model and agent runtime foundation that powers Model ML’s production agents and internal automations.
At the implementation level Model ML implemented a dual-layer architecture, with an agent layer of purpose-built, finance-specialized agents and an application layer that exposes those agents to users and business workflows. The agent layer was tuned to parse both structured and unstructured financial data, understand schemas, generate and execute code for data retrieval, and chain multi-step tasks, while the application layer manages orchestration, user interaction, job scheduling and output formatting using the OpenAI Agents SDK.
Integrations were explicitly instrumented into vendor and enterprise data sources to enable autonomous workflows, including connectors to SharePoint, Capital IQ, FactSet, and Crunchbase, plus CRM records, emails, files, meeting transcripts and external data vendors. Agents are configured to pull data at scale from large tabular datasets, assemble analysis, and publish formatted deliverables such as PowerPoint decks to SharePoint, enabling cross-system orchestration and control tower style oversight across the firm’s digital estate.
Governance and rollout emphasized early consulting engagements to map high-value use cases and futureproof configurations, with Model ML helping clients reshuffle teams toward higher-value judgment roles and adopt an AI-native operating model. The company shifted from bespoke internal connectors to leveraging OpenAI’s Agent SDK and MCP connectors for agent loops, tool calling and guardrails, reducing maintenance burden while accelerating iterative releases and tighter feedback loops in product and operations.
Outcomes described by Model ML include autonomous end-to-end workflows that perform data gathering, analysis and presentation generation without human intervention, for example producing fully formatted quarterly earnings summaries and publishing them to SharePoint. The OpenAI Agents SDK underpins these capabilities, enabling agents that can run cyclical or event-triggered workflows and produce substantial deliverables, potentially as large as a 100-page PowerPoint created entirely by machine.
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Buyer Intent: Companies Evaluating OpenAI Agents SDK
- RTX Corporation Aerospace, a United States based Aerospace and Defense organization with 185000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
| RTX Corporation Aerospace | Aerospace and Defense | 185000 | $80.7B | United States | 2025-11-24 |