Editorial illustration for TrueFoundry launches TrueFailover to auto‑reroute AI traffic on model outages
TrueFoundry Launches AI Traffic Failover Solution
TrueFoundry launches TrueFailover to auto‑reroute AI traffic on model outages
TrueFoundry’s latest launch, TrueFailover, aims to solve a paradox that haunts every enterprise deploying AI at scale: how do you keep systems running when a model goes dark without breaking the compliance and data sovereignty rules you swore to uphold? The answer, according to the platform’s design, is policies that let teams dictate exactly where traffic can flow, and when it must not. A Fortune 50 healthcare customer already leans on this logic to handle over 500 million IVR calls annually, routing agentic AI workloads across cloud and on-premise infrastructure under strict data residency controls.
That scale exposes a truth: failover isn’t about flipping a switch in the dark. It’s about drawing bright lines. TrueFoundry doesn’t pretend TrueFailover is a cure-all.
Some failures it cannot touch. For those, enterprises need a different kind of plan.
TrueFailover operates as a resilience layer on top of TrueFoundry's AI Gateway, which already processes more than 10 billion requests per month for Fortune 1000 companies. The system weaves together several interconnected capabilities into a unified safety net for enterprise AI.
TrueFailover is a response to a real pain point: model outages in regulated, hybrid environments. It is not a cure-all. Enterprise architects know no automated system can replace human judgment around security boundaries and compliance triggers.
The tool’s strength lies in its pragmatism, letting teams define precise failover policies that honor data residency rules while keeping inference traffic flowing. For that Fortune 50 healthcare company handling half a billion calls a year, the balance between control and speed is everything. TrueFoundry has built a safety net.
But the net has holes only deliberate planning can patch. Organizations that pair this automation with rigorous incident response playbooks and manual override capabilities will be the ones that thrive when the unexpected hits.
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Common Questions Answered
How does TrueFoundry's AI Gateway handle model availability and routing?
TrueFoundry's AI Gateway performs intelligent routing by continuously monitoring model endpoint health, tracking metrics like requests per minute and error rates. When a model exceeds usage limits or experiences performance issues, it is automatically marked unhealthy and excluded from routing, ensuring seamless failover without manual intervention.
What are the key functions of an AI Gateway according to Gartner's Market Guide?
Gartner identifies four foundational tasks for AI Gateways: routing (directing inference traffic to the most efficient model), security (managing authentication and input/output guardrails), cost control (tracking token usage and enforcing quotas), and observability (providing metrics and performance analytics across AI interactions). This transforms the gateway into a programmable policy and governance layer for AI systems.
What percentage of software engineering teams are projected to use AI gateways by 2028?
According to Gartner's Market Guide, 70% of software engineering teams building multimodel applications are projected to use AI gateways by 2028, compared to just 25% in 2025. This significant increase reflects the growing need for centralized management, cost optimization, and governance in enterprise AI environments.
Further Reading
- Papers with Code - Latest NLP Research — Papers with Code
- Hugging Face Daily Papers — Hugging Face
- ArXiv CS.CL (Computation and Language) — ArXiv
