Switching costs are the lock-in
Every agent that hard-codes a model SDK becomes one more thing to rewrite when you want to switch. The cost compounds with every agent you ship.
Ready to get started?
Deploy sovereign AI on your infrastructure - in weeks, not months.
Platform · AI Gateway · Multi-provider routing · BYOK
One endpoint to call any of 2,600 models across 140 providers. Bring your own keys to OpenAI, Anthropic, Google, or run open-source on your own hardware. Agents ask for a quality tier, the gateway picks the model. Switch providers without touching an agent. Cap budgets. Route by region. Fail over automatically.
No lock-in. No hidden margin. No re-coding when the best model changes.
2,600+ models 140+ providers Bring your own keys 9 regions · in-region routing
Pick one model provider, hard-code their SDK into your agents, and you've shipped lock-in. Six months later a competitor leapfrogs them on quality, halves the price, or releases the open-weights version. Now you're rewriting agents to switch. Or staying on the loser because switching costs too much.
Every agent that hard-codes a model SDK becomes one more thing to rewrite when you want to switch. The cost compounds with every agent you ship.
API down? Rate-limited? Quota exhausted? Every agent in your business stops. No failover. Production AI on a single point of failure.
A handful of expensive agents on the highest-tier model can blow the monthly budget. By the time finance sees the invoice, the spend has already happened.
Your agents don't reference specific model names. They ask for what they need - "balanced reasoning", "fast classification", "code generation". The gateway resolves that to a real provider and model based on six runtime checks. Swap the underlying model centrally; every agent gets the new behaviour.
From request to model · annotated
Every agent ships referencing one of eight tiers, not a specific model. When the best balanced model becomes Claude Opus instead of GPT-4o, you change one mapping. Every agent in your business gets the upgrade without redeployment.
When Claude Sonnet 5 ships and you want to make it the new "balanced," you update one mapping in the gateway. Every agent in your business gets the new model on its next call. No redeployment. No agent code change.
Self-hosted open-weights on your own GPUs gives the lowest unit cost at scale and keeps inference data on your infrastructure. API providers give the absolute frontier on demand without capex. The gateway lets you split workloads by tier, by team, by data sensitivity, and by cost target.
For predictable, high-volume, sensitive workloads.
Llama, Qwen, Mistral, DeepSeek and others, served with NVIDIA NIM containers. Pre-optimised for the GPU you have. Inference data never leaves your infrastructure. Unit cost amortises over the lifetime of the GPU.
For peak quality, spiky volume, low capex.
Bring your own contract with OpenAI, Anthropic, Google, Cohere, or any of 140+ providers. The gateway uses your keys; you keep your billing relationship; we never markup. Mix and match per-tier - your reasoning calls go to Claude Opus while balanced calls go to GPT-4o.
This is what your platform team sees at /gateway. Configure section: Providers, Models, Tiers. Observe section: Usage, Costs. Same chrome, same data, every org in your platform.
AI Gateway
Route every model call through one governed plane. 23 providers · 140+ models · 8 tiers
Configured
8
of 23 available
With keys
7
1 awaiting
Avg health
99.5%
last 1h
Avg latency
346ms
p50
14 models · 99.4% success · 412ms
8 models · 99.7% success · 624ms
12 models · 98.9% success · 388ms
22 models · 99.1% success · 502ms
6 models · 99.8% success · 89ms
4 models · 100.0% success · 156ms
18 models · 99.6% success · 198ms
5 models
/gateway renders this in your sandbox today, including provider cards with brand-aware logos, the 8 real tier types, the 2,600+ model registry, and the live cost dashboard.How do I avoid betting on one provider?
Eight quality tiers, 140-plus providers. Agents reference tiers, not models. When a competitor leapfrogs your current pick, you change one mapping. Every agent in your business gets the upgrade without redeployment.
Can we control AI spend before the bill arrives?
Every model call is metered with the team that made it. Set monthly budgets per team. 80% warning, 100% hard cap, anomaly alert at 2x rolling average. Live dashboard with charts by team, tier, and day.
What about data residency and provider keys?
Bring your own keys to OpenAI, Anthropic, Google. Region-aware routing keeps EU users on EU endpoints, AE on AE, and so on. Self-host open-weights on your hardware where data can't leave at all.
What about failover and reliability?
Configure a fallback chain per tier. If your primary provider fails or rate-limits, the gateway moves the call to the next provider in the chain automatically. Auto-recovery when the primary returns.
One bet. One winner. Maybe yours.
Your agents call OpenAI (or Anthropic, or Google) directly. Their SDK in your code. When the leader changes - and it does, every quarter - you rewrite. When they're rate-limited, you wait.
You're now an inference platform team.
Build the routing layer yourself. Manage provider keys, build budget enforcement, build the cost meter, build the failover, build the cache. Months of platform engineering for a non-differentiating capability.
Eight tiers, any provider, day one.
Eight quality tiers. 140-plus providers. BYOK to anyone. Budgets, region routing, failover, cache, anomaly detection, live dashboard. Configured centrally. Applied to every agent without code changes.
The model that's best today won't be the model that's best a year from today. The platform's job is to insulate the business from that change. Eight tiers, 140 providers, your keys, your budgets, your data residency. The business decides what it needs. The platform routes to whatever serves it best.
Sandbox access in 24 hours. Comes pre-configured with the eight tiers, dummy keys, the cost dashboard, and a sample agent that exercises every tier so you can see the numbers move.
Bring your own keys when you're ready. Your billing relationship stays with the provider.
