I’m excited to share that Kong has expanded its headquarters in San Francisco! The new office at 44 Montgomery Street will provide Bay Area Kongers with a collaborative spot to meet with customers, coordinate with partners, brainstorm with colleagues, and recruit top talent.
Kong HQ was previously at 77 Geary Street in San Francisco. The new space allows for double the number of Kongers who can take advantage of the downtown office space. Employees will also enjoy new amenities like a 24-hour gym, yoga classes, and an outdoor area designed for social connection and team events.
Kongers have the flexibility of choosing the work environment that works for them, whether that be a remote or hybrid approach. But, we understand there is tremendous value in in-person connections — especially for client engagement, team building, and cross-functional collaboration. In fact, [one study shows](https://www.enterpriseappstoday.com/stats/workplace-collaboration-statistics.html)one study shows that workplace collaboration and teamwork initiatives boost business sales by 27%. This move helps our mission of cultivating the best possible work experience for our employees.
In addition to expanding our headquarters, we have partnered with Gable, a flexible workspace and management platform, to provide all employees with on-demand access to a wide range of global coworking and event spaces.
Kong has been an integral part of the San Francisco tech scene since its inception in 2017. Today, Kong has more than 700 employees in more than 25 locations worldwide.
This new office location is just the next milestone in a strategic investment in company growth. It comes on the heels of a record year as we recently raised $175 million in [Series E funding](https://konghq.com/blog/news/kongs-series-e-funding)Series E funding in 2024, bringing our valuation to $2 billion.
With momentum continuing to build, we’ve doubled down on innovation — most recently with updates to our [Kong Konnect](https://konghq.com/products/kong-konnect)Kong Konnect platform, [Kong AI Gateway](https://konghq.com/products/kong-ai-gateway)Kong AI Gateway, and the introduction of a new [Kong Event Gateway](https://konghq.com/products/event-gateway)Kong Event Gateway.
As we deepen our presence in the Bay Area, we remain focused on building a culture — and a platform — that empowers the next wave of API- and AI-driven innovation.
Our continued investment in our employees has earned Kong a [Great Place to Work®](https://www.greatplacetowork.com/certified-company/7020766#:~:text=94%25%20of%20employees%20at%20Kong,a%20typical%20U.S.%2Dbased%20company.&text=Source%3A%20Great%20Place%20To%20Work%C2%AE%202021%20Global%20Employee%20Engagement%20Study.&text=People%20here%20are%20given%20a,are%20made%20to%20feel%20welcome.)Great Place to Work® certification. This recognition reflects our strong culture of inclusivity, trust, and support, where employees are encouraged to grow, make meaningful contributions, and feel welcomed from day one.
If you’re interested in joining Kong, check out our careers page to learn about open roles and how to apply: [https://konghq.com/company/careers](https://konghq.com/company/careers)https://konghq.com/company/careers.
Kong does not rely on LiteLLM — whether PyPI-distributed or otherwise — for any components in our runtime stack. As you may know, a supply chain vulnerability affecting LiteLLM versions 1.82.7 and 1.82.8, a popular open-source AI proxy library, was
Your infrastructure already has the raw materials: compute (VMs, containers, serverless), event streaming (Kafka, Kinesis, Pub/Sub, RabbitMQ), data stores (warehouses, databases, object storage), and AI endpoints (any hosted or self-hosted LLM). Tho
iPaaS — Integration Platform as a Service — was built for a world of deterministic applications. The mental model is simple: you have systems, they have APIs, and iPaaS connects them. Data flows from point A to point B according to rules you define.
Over the last few years, enterprises have made a genuinely impressive leap. They moved from rule-based automation to large language models capable of reasoning, planning, and acting. The intelligence layer is dramatically better. But the integration
A Git Sync experience that fits your API testing workflow, not the other way around. Insomnia 13.1 now reads your .gitconfig, syncing the native git credentials you’ve already configured, so now you just need to connect once, and you’re all set. Fr
An AI agent without reliable, governed access to your systems is just an expensive chatbot. The moment agents need to take real action — querying a database, triggering a workflow, calling a partner API — they need an integration layer that was desi
You wouldn't expose a REST API without a gateway. What about Kafka? Before we talk about an event gateway, it's worth grounding ourselves on what an event is. An event is simply a record of something that happened. In modern integration, there are