What Companies Were at API World 2026?

Apollo GraphQL develops infrastructure for building, managing, and operating GraphQL APIs.

Apollo GraphOS gives engineering teams a control layer for managing distributed GraphQL services, schemas, observability, and API delivery across complex software environments.

Its work around MCP also reflects a major change in the API market: APIs are increasingly being consumed by AI agents as well as conventional applications.

Apollo GraphQL received multiple recognitions in the 2026 API Awards for technologies including Apollo GraphOS and Apollo MCP Server.

Bruno develops an open-source, Git-native API client for building and testing APIs.

Bruno stores API collections as files that can live directly inside source-control repositories rather than requiring teams to keep API workflows entirely inside a hosted service.

That lets developers version API requests and tests alongside application code while making the same workflows accessible to CI/CD systems and AI coding tools.

Bruno was an official API World 2026 event partner.

MuleSoft develops API management and enterprise integration technology.

Its Anypoint Platform helps organizations connect applications, APIs, services, and data across cloud and on-premise environments.

This integration layer becomes even more important as enterprises deploy AI agents. Agents need governed access to business systems, not simply access to an AI model.

MuleSoft increasingly connects conventional API management with agent infrastructure and enterprise AI governance.

Boomi develops integration, automation, API management, and data-management technology.

Its platform connects applications and information across fragmented enterprise technology environments.

As AI agents begin taking actions across business systems, integration platforms are moving beyond data synchronization toward coordinating intelligent workflows between applications.

Boomi's Agent Control Plane is part of that broader move toward managing enterprise agent systems.

Workato develops enterprise integration and workflow automation software.

Its platform allows organizations to connect applications, APIs, data, and business processes without creating each integration independently.

AI changes that model further because automation can increasingly involve software deciding which action to perform rather than following only fixed workflow logic.

That makes integration infrastructure an important part of the agentic enterprise stack.

Kong develops API gateway and API-management infrastructure.

Its technology sits between API consumers and backend systems, handling routing, authentication, security policies, traffic control, observability, and governance.

The gateway layer is becoming increasingly relevant to AI because agentic applications introduce new endpoints, model APIs, tool calls, and machine-generated traffic.

Kong received the 2026 API Award for Best in API Infrastructure.

Akamai provides cloud, content-delivery, application-security, and API-security infrastructure.

Its API security technology helps organizations discover API endpoints, monitor activity, identify vulnerabilities, and protect APIs from abuse.

That role becomes more important as AI applications generate additional machine-to-machine traffic and expose more business functionality through programmable interfaces.

AVAP develops technology for connecting AI systems with application capabilities through governed API infrastructure.

Its architecture focuses on making backend functionality usable by intelligent systems rather than treating AI as an isolated interface layered on top of existing software.

AVAP received the 2026 API Award for Innovation in API Gateways, placing it directly within the emerging category of infrastructure connecting APIs and autonomous software.

ScraperAPI provides API infrastructure for retrieving data from websites.

The service handles infrastructure including proxies, retries, browser rendering, and other complexities associated with reliable web data collection.

For developers building data products or AI systems that require fresh web information, this turns a complicated infrastructure problem into a programmable API.

Foxit develops PDF software, document SDKs, APIs, e-signature technology, and AI-powered document tools.

Its developer products allow applications to create, edit, render, convert, manipulate, and sign documents programmatically.

Document APIs are particularly valuable in AI workflows because enterprise agents often need to extract information from documents or generate, edit, approve, and distribute them as part of a business process.

Cisco develops networking, security, observability, collaboration, and enterprise infrastructure.

Platforms such as Cisco Meraki expose APIs that allow organizations to automate networking operations and connect network data with external systems.

The Meraki Dashboard API received recognition in the 2026 API Awards, illustrating how APIs increasingly serve as the automation layer around physical enterprise infrastructure.

Name.com provides domain registration and internet infrastructure.

Its APIs allow software products to embed domain discovery, purchasing, and management directly into their own user experiences.

This turns a traditionally separate setup process into programmable infrastructure for website builders, commerce platforms, hosting services, and AI application builders.

Axway develops API management, managed file transfer, and B2B integration technology.

Its API platform helps enterprises publish, secure, govern, monitor, and manage APIs across distributed environments.

For organizations with APIs spread across multiple applications, teams, and platforms, governance helps create consistent security, ownership, documentation, and lifecycle standards.

WunderGraph develops infrastructure that helps engineering teams connect applications with APIs, services, and data.

The company increasingly operates at the intersection of APIs and AI-agent infrastructure.

Agentic applications need secure ways to discover and invoke capabilities while maintaining authentication, observability, and governance, which makes API orchestration a core infrastructure problem rather than simply a frontend-development concern.

SerpApi provides APIs that turn search-engine results into structured data.

Instead of building custom infrastructure for collecting and normalizing search results, developers can query SerpApi programmatically.

Search APIs are increasingly important for AI applications because useful agents frequently need current external information rather than relying entirely on static training data.

WireMock develops API mocking technology used during development and automated testing.

Mock environments allow teams to simulate dependent APIs before those services are available or without repeatedly calling production systems.

That is useful for distributed applications and agent workflows where a single product may depend on many external APIs at once.

Tyk develops API gateway, management, and governance technology.

Its platform helps organizations secure endpoints, control traffic, apply policies, manage access, and observe APIs across cloud, hybrid, and on-premise environments.

Tyk is also applying those controls to AI infrastructure, where organizations need visibility into model endpoints, LLM usage, costs, credentials, and agent access.

SmartBear develops software for API design, testing, documentation, observability, and software quality.

Its tools help development teams define contracts, test behavior, validate integrations, and improve API reliability before services reach production.

AI-assisted development increases the importance of automated validation because software can now be generated and changed faster than traditional manual review processes can comfortably support.

Roblox operates a platform where developers build and distribute interactive experiences.

Its developer ecosystem relies on APIs and platform infrastructure that allow creators to build services, manage experiences, connect systems, and extend functionality.

Roblox represents the platform side of the API economy, where developer ecosystems depend on programmable interfaces that expose underlying product capabilities.

Amazon Web Services provides cloud infrastructure and developer services exposed extensively through APIs.

Developers use AWS APIs to provision compute, storage, databases, AI services, networking, identity, observability, and other infrastructure.

Cloud computing helped normalize the idea that infrastructure itself should be programmable, making APIs fundamental to how modern applications are built and operated.

Routable develops B2B payments infrastructure.

Financial APIs allow applications and businesses to automate payment processes that traditionally required more manual finance operations.

The company represents another vertical API category where complicated back-office infrastructure becomes reusable functionality that software can invoke directly.

Together AI develops infrastructure for running, training, and serving AI models.

Its platform gives developers programmatic access to model inference and AI compute.

This lets teams consume model execution similarly to other cloud services, choosing and integrating models through APIs instead of managing the entire underlying GPU stack themselves.

Google operates cloud, AI, search, productivity, and developer platforms.

Through Google Cloud and Apigee, the company provides infrastructure for designing, securing, analyzing, and operating APIs at enterprise scale.

The connection between API management and emerging MCP infrastructure shows how traditional API platforms are adapting as AI agents become another important class of API consumer.

Vonage develops APIs for voice, video, messaging, verification, and programmable communications.

Developers use these APIs to embed communications capabilities directly into applications.

The category demonstrates the value of API infrastructure clearly: complex telecommunications networks can be consumed programmatically instead of every software company building that infrastructure independently.

Nango develops integration infrastructure for securely connecting software with third-party APIs.

Its technology handles areas such as authentication, credentials, synchronization, and API connectivity.

That becomes particularly important for AI agents because useful agents often need to interact with many SaaS applications without every integration being implemented independently.

Glean develops enterprise AI and search technology.

Its systems connect information distributed across workplace applications while respecting organizational permissions.

The underlying challenge is closely related to APIs: enterprise AI needs governed access to many sources of data without flattening security boundaries or creating a second uncontrolled information layer.

Salesforce develops CRM, enterprise applications, integration, automation, and AI technology.

Its platform exposes extensive APIs that allow businesses to connect customer data and workflows with external applications.

Through MuleSoft and its expanding agent infrastructure, Salesforce increasingly positions APIs as the connective layer between AI agents and enterprise systems.

Redgate develops database development, deployment, monitoring, and DevOps tools.

Reliable APIs depend on reliable data systems behind them.

Redgate's presence reflects the broader engineering stack surrounding API delivery, where database changes, deployment automation, observability, and reliability all affect application performance.

Zeta Global develops marketing technology and customer-data infrastructure.

Marketing platforms rely heavily on APIs to connect customer data, campaigns, analytics, advertising systems, and external applications.

As AI enters customer-engagement workflows, APIs increasingly connect decision-making systems with the platforms responsible for taking action.

You.com develops AI search and agent technology.

Useful AI agents need access to external APIs and tools if they are expected to perform actions rather than only answer questions.

The relationship between agent interfaces and API infrastructure is therefore becoming one of the most important architecture questions in AI software.

Intuit develops financial software including QuickBooks, TurboTax, Credit Karma, and Mailchimp.

Its platform ecosystem exposes APIs that allow external software to connect with financial and business data.

Financial APIs let developers incorporate accounting and financial workflows into broader business applications without recreating those systems independently.

OpenAI develops AI models and developer infrastructure used to build AI-powered applications and agents.

APIs allow development teams to incorporate language, reasoning, multimodal, and agent capabilities into software without training foundation models themselves.

As AI systems increasingly perform actions, APIs become the connection between model intelligence and external tools, data, applications, and business systems.

Nutrient develops document SDKs and APIs for web, mobile, and server applications.

Its technology supports viewing, editing, annotation, forms, document processing, and workflow automation.

Nutrient is an example of the wider API economy: sophisticated product capabilities can increasingly be consumed as reusable developer infrastructure rather than rebuilt inside every application.

Querit develops search infrastructure for LLM and AI applications.

Retrieval infrastructure helps models find relevant external or proprietary information before generating responses or taking actions.

That is particularly valuable in enterprise AI, where useful systems need access to current business knowledge rather than depending entirely on model pretraining.

Runpod provides GPU cloud infrastructure for AI development, training, and inference.

Developers can access GPU compute and deploy AI workloads through infrastructure designed specifically around model execution.

As more AI applications become API-driven, GPU platforms increasingly sit behind the endpoints that developers and agents call.

Gravitee develops API management technology spanning conventional request-response APIs, event-driven systems, and AI infrastructure.

Its platform covers API gateway, security, lifecycle management, developer access, and observability.

Supporting multiple API styles matters because modern applications increasingly combine REST, streaming events, asynchronous messaging, AI models, and agent workflows.

CloudAPPi works with organizations on API governance, management, and integration.

Governance becomes more important as enterprises operate larger portfolios of APIs across internal teams, external developers, partners, and AI systems.

Strong governance creates consistent standards for security, documentation, ownership, lifecycle management, and reuse.

Dynadot provides domain registration, management, and related infrastructure.

Its APIs allow developers and businesses to automate domain operations programmatically.

Domain APIs are becoming increasingly relevant as AI website and application builders attempt to move users from generated software to live internet products with fewer manual setup steps.

FireTail develops API security technology for modern application environments.

Its platform focuses on API visibility, runtime protection, and identifying security issues around how APIs behave.

As organizations expose more business functionality programmatically, protecting API endpoints becomes increasingly important because those endpoints can directly trigger sensitive actions or expose valuable data.

SignalWire provides programmable voice, messaging, video, and real-time communications infrastructure.

Its APIs allow developers to add communication functionality to applications.

As voice agents and conversational AI expand, communications APIs become an important bridge between software agents and real-world phone and messaging networks.

Inigo develops management, observability, and security technology for GraphQL APIs.

GraphQL gives developers flexible access to data but introduces operational and security considerations that differ from conventional REST interfaces.

Inigo helps teams understand GraphQL activity and apply controls around performance, access, usage, and security.

Apryse develops APIs and SDKs for embedding document functionality into software.

Its technology covers document viewing, annotation, editing, conversion, signatures, and document-processing workflows.

By exposing these capabilities through developer infrastructure, software teams can build sophisticated document experiences without developing PDF and office-document engines from scratch.

APIs and AI Agents

One of the defining themes at API World 2026 was how AI is changing the role of APIs.

Historically, APIs primarily connected applications with other applications. Now AI agents are becoming a major class of API consumer, discovering tools, authenticating, and invoking capabilities on their own.

That shift moves questions of authentication, authorization, observability, and governance to the centre of API architecture.

MCP and Tool Infrastructure

Model Context Protocol featured heavily across the 2026 programme.

Apollo GraphQL, Nango, MuleSoft, Google, Tyk, Kong, AVAP, OpenAI, and Salesforce all operate at the intersection of APIs, MCP, and agent tooling.

Their technologies address how AI systems discover tools, authenticate, access enterprise services, invoke APIs, and operate under security and governance controls.

API Management and Gateways

MuleSoft, Kong, Tyk, Gravitee, and Axway represent the API management layer.

Gateways sit between API consumers and backend services, controlling routing, authentication, policies, security, monitoring, and traffic.

Those same controls are now being extended to model endpoints, LLM usage, credentials, and agent access.

API Security

Akamai and FireTail focus specifically on API security, covering endpoint discovery, runtime protection, and abuse detection.

API-management platforms such as Kong, Tyk, Axway, and Gravitee also provide security controls around authentication, traffic policies, access, and governance.

As more business functionality is exposed programmatically, API endpoints can directly trigger sensitive actions or expose valuable data.

Developer Experience and Testing

Bruno, SmartBear, WireMock, Apollo GraphQL, and other developer-tool companies focus on making APIs easier to build, test, debug, and operate.

Mocking, contract testing, documentation, and observability all shorten the path from API design to reliable production behaviour.

AI-assisted development raises the stakes because code can now be generated and changed faster than manual review can comfortably support.

AI APIs and Infrastructure

OpenAI, Together AI, Runpod, You.com, Glean, AVAP, and Querit represent the growing overlap between APIs and AI infrastructure.

AI models themselves are commonly consumed through APIs.

At the same time, AI agents need APIs to interact with databases, SaaS applications, search engines, communication systems, financial products, and enterprise software. APIs therefore sit on both sides of the AI stack.

API Integration and Automation

MuleSoft, Boomi, Workato, Nango, Axway, and CloudAPPi address different parts of application integration.

This category becomes more strategically important as businesses deploy AI agents.

An agent without integrations can generate information. An agent with secure, governed integrations can take actions across business systems — bringing integration infrastructure closer to the centre of enterprise AI architecture.

What companies were at API World 2026?

Companies at API World 2026 included Apollo GraphQL, Bruno, MuleSoft, Boomi, Workato, Kong, Akamai, Axway, WunderGraph, SerpApi, WireMock, Tyk, SmartBear, AWS, Google, OpenAI, Salesforce, Together AI, Nango, Glean, Vonage, Gravitee, FireTail, SignalWire, Apryse, Foxit, Nutrient, and other API and developer technology companies.

When was API World 2026?

API World 2026 took place September 1–3, 2026, with the API World Expo running September 2–3.

Where was API World 2026?

API World 2026 took place at the Santa Clara Convention Center in Santa Clara, California.

What is API World?

API World is a conference and expo focused on APIs, developer technology, API management, integration, security, cloud infrastructure, and AI. The 2026 event placed particular emphasis on APIs in the Age of AI, including AI agents and Model Context Protocol.

What API management companies were at API World 2026?

API management companies included MuleSoft, Kong, Axway, Tyk, and Gravitee. Their technologies help organizations manage API gateways, authentication, traffic, security policies, API lifecycle, developer access, observability, and increasingly AI-related API workloads.

What API gateway companies were at API World 2026?

API gateway and infrastructure companies included Kong, Tyk, Gravitee, AVAP, Axway, and MuleSoft. API gateways sit between API consumers and backend services, controlling routing, authentication, policies, security, monitoring, and traffic.

What AI companies were at API World 2026?

AI companies represented at API World 2026 included OpenAI, Together AI, Glean, You.com, AVAP, Runpod, Nango, and Querit, alongside larger technology companies including Google and Salesforce. Their technologies span foundation-model APIs, inference infrastructure, enterprise AI, agent integrations, AI search, and infrastructure connecting agents with external systems.

Which MCP and AI agent companies were at API World 2026?

Companies operating at the intersection of APIs, MCP, and AI agents included Apollo GraphQL, Nango, MuleSoft, Google, Tyk, Kong, AVAP, OpenAI, and Salesforce. Their technologies address how AI systems discover tools, authenticate, access enterprise services, invoke APIs, and operate under security and governance controls.

What API security companies were at API World 2026?

API security companies included Akamai and FireTail. API-management platforms such as Kong, Tyk, Axway, and Gravitee also provide security controls around authentication, traffic policies, access, and API governance.

What API testing companies were at API World 2026?

API development and testing companies included Bruno, SmartBear, and WireMock. Their tools help developers organize API requests, build automated tests, simulate dependent services, validate behavior, and improve reliability before production deployment.

What GraphQL companies were at API World 2026?

GraphQL companies included Apollo GraphQL and Inigo. Apollo provides GraphQL infrastructure and federation technology, while Inigo focuses on GraphQL observability, management, and security.

What integration companies were at API World 2026?

Integration companies included MuleSoft, Boomi, Workato, Nango, Axway, and CloudAPPi. Their technologies help connect applications, APIs, data sources, workflows, and increasingly AI agents across enterprise systems.

What document API companies were at API World 2026?

Document technology companies included Foxit, Nutrient, and Apryse. Their APIs and SDKs allow developers to embed PDF viewing, editing, conversion, document processing, annotations, signatures, and other document functionality directly into applications.

What communications API companies were at API World 2026?

Communications API companies included Vonage and SignalWire. Their platforms allow developers to integrate voice, messaging, video, verification, and other communications capabilities into software.

What search API companies were at API World 2026?

Search and retrieval companies included SerpApi and Querit. SerpApi provides structured search-engine data through APIs, while Querit focuses on search infrastructure for LLM and AI applications.

Who spoke at API World 2026?

Companies represented by speakers and keynote participants included Nango, Glean, Salesforce, Redgate, Vonage, Zeta Global, You.com, AWS, Google, OpenAI, Together AI, Intuit, Routable, and Roblox.

What were the main topics at API World 2026?

Major API World 2026 topics included API design and development, API management, API gateways, API operations, API security, APIs and AI, MCP, developer experience, integration, GraphQL, microservices, asynchronous APIs, REST, gRPC, API partnerships, and API business models.

Why should sales teams track companies at API World?

Participation in API World is a useful signal that a company is actively engaging developers, platform teams, engineering leaders, architects, API buyers, and technology decision-makers. Sponsoring, exhibiting, speaking, demonstrating products, and winning API Awards create useful signals around product priorities, developer ecosystem investment, partnerships, target markets, and go-to-market activity. For sales teams targeting developer tools, API infrastructure, AI, cloud, cybersecurity, integration, DevOps, and enterprise software, these event signals can help identify accounts actively investing in the API ecosystem.