@kong

The Unified API and AI Platform.

Joined February 2009
95% of Kongers say Kong is a great place to work. The national average? 57%. Four years running, we're Great Place To Work Certified™ in the US. Discover what's behind the number: bit.ly/4y2WfO6
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One week out from API + AI Summit. 😎 Two days in LA filled with sessions built for the people actually building AI in production, hands-on workshops, and hallway conversations that turn into real architecture decisions. Oh! And an AI Charm Bot sketching your portrait in 60 seconds, a blacklight QR code hunt across the venue, and a rooftop reception with live music and a claw machine. Don't miss your chance, register today! bit.ly/46sxYoC #AgenticAI #AIGovernance #AIProduction #AIArchitecture
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Kong has a new look — and Karl even upgraded his wardrobe to match. 🦍 See it in person (and snag your own Karl plushie) at API + AI Summit, September 30 – October 1. Grab your ticket: bit.ly/4rk4hQa
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Token usage compounds fast in agentic workflows. And most teams have zero visibility into where that spend is going, let alone how to control it. Dan Temkin broke this down at @Gartner's Applications & Business Solutions Summit in London last week — and the room didn't want him to stop talking. So, we're giving him the stage at API + AI Summit in LA! His session, "AI economics in the agentic era," covers real enterprise examples: monetization models, governance frameworks, and the metrics that actually keep AI infrastructure costs in check. Claim your seat: bit.ly/4dqguwT
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3 root causes of "The AI Fragmentation Tax" 1) Visibility is fragmented: About half of companies don't track LLM API costs at all, even when AI is core to the product. 2) Forecasting is broken: Only 15% of companies can predict AI spend within ±10% accuracy, which makes budgeting and margin protection nearly impossible. 3) Infrastructure is sprawling: Agents, MCP servers, LLMs, APIs, and event streams all connect across on-prem, cloud, and hybrid environments. Every touchpoint generates cost that's invisible in isolation but huge in aggregate. Even companies not integrating AI into their product directly are still heavy consumers of third-party LLMs, so they add cost with no measured revenue to offset it. The fragmentation tax compounds the longer it exists. Every release cycle makes it worse if you don't address the 3 root causes. That's why we're obsessed with building a unified cost governance layer for our customers. As AI speeds up the convergence of many capabilities, margin discipline becomes a differentiator.
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The best part of API + AI Summit might not be in a session room. Step outside the breakouts for: ✋ Hands-on demos + conversations with Kong engineers 🤖 Robotic portraits, mechanical keyboards + interactive AI experiences 🔦 A blacklight QR code hunt with a pretty great prize 🍸 Dinner, drinks, a live band + a rooftop at Spire 73 Sessions teach you something. The expo, experiences and after-hours are where you meet the people building it with you. See you in LA. ✈️ bit.ly/4cBwj3D
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Kong is named a Leader in The Forrester Wave™: API Management Software, Q3 2026. 🎉 Forrester's own words: Kong "well suits modern cloud-native use cases with an emphasis on AI governance." The report also found Kong's gateway has "more policies for LLM governance than any other vendor in this evaluation." We're sharing the whole report — get your complimentary copy and see exactly how every vendor was evaluated on current offering, strategy, and customer feedback. 🌊 bit.ly/3SZ2XVY
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AI moves fast. Your infrastructure needs to keep up. Kong AI Gateway 2.0 is now GA, bringing a new generation of AI governance to production. ❇️ Govern MCP tools through one endpoint ❇️ Track multimodal AI costs ❇️ Apply identity-aware policies ❇️ Connect to more models & providers ❇️ Secure AI agents & MCP servers with AWS IAM The AI era is moving quickly. Your gateway should too. bit.ly/45VrRcb
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What happens when your AI agents start spending like they have no budget? 💸 Our Dan Temkin is breaking down AI economics at Gartner App Innovation & Business Solutions Summit on Sept. 15 at 11:15 AM. Don’t miss his session, and visit us at booth #302 for live demos on LLM traffic, MCP & AI monetization.
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I meet with a lot more CFOs than I used to. We didn't always see C-suite so involved in a technical platform like Kong, but now it's more common because everyone needs to know where the money is going with their huge AI bills. An AI Gateway becomes one of the best tools to bring financial clarity to the tech investments your org is making, but the conversations can be difficult for people from different worlds of finance and tech. We made this "Operational Metrics Translation Table" to help technical and finance teams have more productive conversations. Your CFO doesn't need a lesson in p99 latency or token throughput, they need to know what that metric means for the P&L. Every operational metric your gateway produces has a financial equivalent and the table maps them directly. 4 questions your gateway can help you answer: What's our gross margin per AI interaction, by customer segment? What's our cost exposure if a major LLM provider reprices tomorrow? How much margin is our gateway already creating through caching and routing, and is anyone measuring it? Which internal teams are driving our AI spend, and do they know it?
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The count down is on! We're one month away from API + AI Summit, have you registered? We can't wait to see you there! bit.ly/4hP00Bz
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AI adoption is accelerating. Governance isn’t keeping pace. ❌ New data from our AI Gateway found that AI workloads grew nearly 30× in one year yet 99% of organizations lack AI-specific governance controls. Why the disconnet? Check out our State of AI Governance report to learn more: bit.ly/4qrCvkn
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💰 How does a chance to win $5,000 sound? Kong Build Sprint is officially open. This is your chance to build something real on Kong AI Gateway, Agent Gateway, or Konnect. You can learn more about how to enter here: bit.ly/4wKHkXC
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Those who control the mountain pass win the war. Sun Tzu
The AI middleware market is going to be worth $100s of billion in a world of many models, many clouds, many chips that need to secured, integrated, and billed.
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Kong is teaming up with NVIDIA to make intelligent model routing easier for enterprises building agentic AI. 🤝 With NVIDIA NeMo Switchyard integrated into Kong AI Gateway, organizations can dynamically route AI requests to the right model for the job - optimizing for cost, performance, and quality while maintaining centralized control and governance. The result? Smarter model selection, better token economics, and more efficient AI infrastructure, without adding complexity for developers. See how Kong AI Gateway + NVIDIA NeMo Switchyard are bringing intelligent LLM routing to production: bit.ly/45ljuX8
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Kong is excited to be partnering with NVIDIA to ensure faster, smarter, more efficient Agentic AI 🤝
Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents route each workflow step across the models they choose. ⚡
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🏆 We’re excited to share that Kong Konnect has been named the 2026 API Award winner for Best in API Infrastructure! Congratulations to the entire Kong team on this recognition! You can read more about it here: bit.ly/4q2KT9I
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🤖 Sponsor Spotlight: @kong  Helping organizations securely adopt AI and become API-first.  Connect with Kong at #apidaysIndia2026! apidays.global/events/india   #APIFirst #AI #API
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Plot twist: APIs aren't just for developers anymore. As AI agents increasingly discover and consume services, API marketplaces are taking on a whole new role. Kong's Chris Darvill dives into what that means in his latest article for @nordicapis. Read more here: bit.ly/3TB84Md
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