TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway to securely manage, route, and govern AI workloads
The worst advice for enterprise AI agents? Start small.
"Start small" sounds safe.
In reality, it often leaves enterprises with 100+ agent pilots and no scalable AI strategy.
The winners do the opposite:
→ Start with a high-value problem
→ Build the foundation
→ Scale from there
That's where the biggest AI outcomes come from.
🎙️ @nikunjbjj in conversation with @JonKrohnLearns for @superdatasci - link in comments👇
@ashwinravi99 on the pitch.
@ivivianrichards in the VIP Lounge.
Our first-ever TrueFoundry TV Commercial on the big screen.
We're at the Oakland Coliseum this Friday, hosting AI & ML leaders as the @SFOUnicorns take on the @MLCSeattleOrcas in #MLC26.
Before our TVC debuts at the stadium and on @willowtv , here's an exclusive sneak peek. 👇
@truefoundry now integrates with @lunary_hq .
Teams building LLM applications and agents can now export their AI Gateway traces directly into Lunary over OpenTelemetry—bringing end-to-end observability, agent debugging, evaluations, and monitoring on production traffic, all alongside the unified rate limiting, cost tracking, and access controls TrueFoundry already provides across AI providers.
One gateway. Complete visibility.
Thanks @lunary_hq team for the collaboration!
📣 TrueFoundry has acquired Seldon AI's business and customers.
Production ML's trusted backbone meets the control plane moving 1T+ tokens a day.
This acquisition accelerates our mission to become the unified control plane for enterprise AI.
Read more 👇
Moonshot's Kimi K2.7 Code just dropped — and it beats Claude Opus 4.8 on MCP tool invocation while using 30% fewer reasoning tokens than K2.6.
We broke down the benchmarks, what the numbers actually mean, and where the proprietary models still lead.
👉 https://t.co/9QIcVyV3sZ
#AI #LLM #OpenSource #MCP #AIGateway
We just wrapped our first exclusive match viewing of the #MLC26 season 🏏
@ashwinravi99 made his US debut with the @SFUnicorns, kicking things off with a win against the @TexasSuperKings!
Inside the TrueFoundry VIP suite, we hosted AI/ML leaders for an evening of cricket, great food, and even better conversation. Nothing builds connections like cheering every boundary together!
Thanks to everyone who joined us 🙌
Next stop: Oakland, as SF Unicorns take on the @MLCSeattleOrcas!
Register below to secure your invite 👇
TrueFoundry’s Nikunj Bajaj speaks to
@JonKrohnLearns about how enterprises like Nvidia and Siemens are realizing over $100 million in returns from single AI agent deployments, and why the conventional advice to “start small” is exactly the wrong way to roll out agents in a large organization.
Watch the episode here: https://t.co/FQTbFAh6aR
We're hiring Forward Deployed Engineers (GTM) at @truefoundry
The job: follow the full arc from discovery to architecture to POC to close across multiple enterprise accounts at once.
Right now, that's one person.
Our CTO walks in, runs discovery, designs the architecture, owns the POC, and closes the technical side. Works every time.
The problem: it's not documented, not repeatable, and lives entirely in his head.
We want the repeatable version of that.
If you've done this, or you're a backend engineer who wants to — this is the role.
At KubeCon Mumbai tomorrow.
Building CruiseKube at @truefoundry — a fully open-source, K8s-native controller that right-sizes pod requests just-in-time. Runs in your cluster, all out in the open.
Wave us down. We are the ones in CruiseKube t-shirts 👋
#KubeCon
@truefoundry now integrates with @itsArthurAI .
Teams building LLM applications and agents can now run Arthur's Engine validation directly on the TrueFoundry AI Gateway catching prompt injection, toxicity, and policy violations on both prompts and completions before they reach users.
Every request and response is checked inline, alongside the unified rate limiting, cost tracking, access controls, and observability TrueFoundry already provides across all AI providers.
One gateway. Validated and governed.
Thanks @itsArthurAI team for the collaboration!
@truefoundry now integrates with @Middleware_Labs.
Teams building LLM applications and agents can now export their AI Gateway traces directly into Middleware using OpenTelemetry—bringing unified observability across AI workloads and the rest of their infrastructure.
Monitor latency, errors, token usage, and gateway activity alongside application and infrastructure telemetry, all in one place. With TrueFoundry AI Gateway, teams also get unified rate limiting, cost tracking, access controls, and governance across all AI providers.
One gateway. Unified observability.
Thanks to the @Middleware_Labs team for the collaboration!
@truefoundry now integrates with @honeyhiveai.
Teams building LLM applications and agents can now export their AI Gateway traces straight into HoneyHive over OpenTelemetry—getting end-to-end observability, agent debugging, and evaluation on production traffic, all alongside the unified rate limiting, cost tracking, and access controls TrueFoundry already provides across their AI providers.
One gateway. Full visibility.
Thanks @honeyhiveai team for the collaboration!
🔈 TrueFoundry has officially been mentioned in 21 @Gartner_inc reports, including 5 Hype Cycles!
Our most recent recognition: the Gartner® Hype Cycle™ for AI in Application Integration and Architecture, 2026, where we're listed as a Sample Vendor for AI Gateways.
From the report: "With the growth of adoption of AI integration protocols, AI gateways have expanded to provide governance of AI-consumable interfaces based on MCP and A2A."
As AI agents move from prototype to production, enterprises need to evaluate whether their AI infrastructure is supporting them or leaving them open to vulnerabilities.
The worst advice for enterprise AI agents? Start small.
"Start small" sounds safe.
In reality, it often leaves enterprises with 100+ agent pilots and no scalable AI strategy.
The winners do the opposite:
→ Start with a high-value problem
→ Build the foundation
→ Scale from there
That's where the biggest AI outcomes come from.
🎙️ @nikunjbjj in conversation with @JonKrohnLearns for @superdatasci - link in comments👇