AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

List of OpenAI Agents SDK Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
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.
Showing 1 to 4 of 4 entries

Buyer Intent: Companies Evaluating OpenAI Agents SDK

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating OpenAI Agents SDK. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating OpenAI Agents SDK for AI Frameworks and Libraries include:

  1. 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
FAQ - APPS RUN THE WORLD OpenAI Agents SDK Coverage

OpenAI Agents SDK is a AI Frameworks and Libraries solution from OpenAI.

Companies worldwide use OpenAI Agents SDK, from small firms to large enterprises across 21+ industries.

Organizations such as Coinbase, Box Inc., Hebbia and Model ML are recorded users of OpenAI Agents SDK for AI Frameworks and Libraries.

Companies using OpenAI Agents SDK are most concentrated in Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using OpenAI Agents SDK are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of OpenAI Agents SDK across Americas, EMEA, and APAC.

Companies using OpenAI Agents SDK range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 0%.

Customers of OpenAI Agents SDK include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified OpenAI Agents SDK customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Frameworks and Libraries.