One API for every model
that matters.
A US-headquartered global platform that bridges open-source models — Llama, DeepSeek, Qwen — with top-tier commercial models like Claude Opus 5 and Claude Fable 5. Built for the workloads that punish weak infrastructure: AI coding assistants and autonomous agents at scale.
Open-weight economics. Frontier capability.
Teams should not have to choose between the cost curve of open models and the reasoning ceiling of commercial ones. The gateway abstracts both behind a single contract, so routing becomes a policy decision instead of a rewrite.
Open-Source Fleet
Self-hosted and partner-hosted open-weight inference, tuned for throughput, predictable pricing, and workloads that must stay inside a defined boundary.
Commercial Frontier
Top-tier reasoning and long-horizon coding models reserved for the steps that justify their cost — selected automatically, per request, by policy.
Aggregation is easy. Acceleration is the product.
Serving high-speed, reliable demand for coding assistants and autonomous agent deployments comes down to three things done relentlessly well.
Low Latency
Coding assistants and agents are interactive workloads. Every added hop, cold start, or queue wait is felt by the developer in the loop.
- Edge-terminated connections with warm pooled upstreams
- Speculative and streaming-first token delivery
- Prompt-prefix and KV cache reuse across turns
- Region-aware placement to keep inference near the caller
Stateful Agent Management
Autonomous agents are long-running, tool-calling, and memory-dependent. Stateless request/response APIs break them at the first interruption.
- Durable session objects with replayable event logs
- Context compaction and tiered memory (hot, warm, archival)
- Checkpoint and resume across model or provider switches
- Tool-call orchestration with per-step tracing and cost accounting
High-Availability Routing
Single-provider dependency means a regional outage, rate limit, or price change becomes your outage and your margin problem.
- Active-active routing across multiple clouds and inference vendors
- Health-scored failover with automatic model equivalence mapping
- Cost- and capability-aware routing policies per workload
- Transparent retries that preserve session state and idempotency
A single control plane between your code and every model.
Applications integrate once. Underneath, the platform owns routing, state, caching, failover, governance, and spend — the layer most teams end up building badly, three times.
Drop-in compatible with existing SDKs, so migration is a base-URL change rather than a rewrite.
The workloads that expose weak infrastructure.
AI Coding Assistants
Power Cursor-class and Claude Code-class experiences with the throughput and tail-latency guarantees interactive editing demands.
Autonomous Agent Fleets
Run thousands of concurrent, long-lived agents with durable state, step-level observability, and hard spend ceilings.
High-Volume Inference
Route bulk classification, extraction, and enrichment work to open-weight models at a fraction of frontier cost.
Regulated Enterprise
US-headquartered control plane, data residency controls, and zero-retention paths for sensitive workloads.
Route once. Scale everywhere.
Bring us your highest-volume or highest-latency-sensitivity workload. We will benchmark it across open and commercial models and show you the routing plan.