The Inference Almanac — Vol. III Singapore · Est. 2025
Fabric build v3.1 — now shipping

The inference layer built for agent‑scale token volume.

Infernet routes, batches and orchestrates billions of tokens across every frontier and open model — with sub-second first-token latency, deterministic cost ceilings, and governance your security team will actually sign off on.

Deploy your first route → Read the schematic
No agent left waiting. No token left unaccounted for.
Trusted at the edge
Northwind LabsCadenzaVanta SystemsHelix RoboticsOrbitalMeridian AINorthwind LabsCadenzaVanta SystemsHelix Robotics
§ 01The Platform

Everything between your agents and the models.

Agents don't fail because a model is slow. They fail because nothing sits between the two coordinating retries, budgets, routing and observability. Infernet is that missing layer — production-grade, model-agnostic, and yours to govern.

01

Adaptive routing

Route each request to the cheapest model that meets your latency and quality bar. Live health-checks reroute around degraded providers before your agents ever notice.

Policy-driven
02

Continuous batching

Coalesce thousands of concurrent agent calls into optimally packed batches. Squeeze 3–5× more throughput from the same token budget without touching your app code.

Throughput engine
03

Deterministic cost ceilings

Hard budget caps per route, tenant and workspace. When a runaway agent hits the ceiling, Infernet degrades gracefully instead of billing you a surprise.

FinOps native
04

Full-trace observability

Every token, every hop, every retry — captured. Replay any agent run, attribute spend to the line of code, and export traces to your existing stack.

OpenTelemetry
05

Governed by design

SOC 2 controls, PII redaction at the edge, per-region residency, and audit logs that satisfy your compliance team. Bring your own keys, keep your own data.

SOC 2 · GDPR
06

One SDK, every model

Frontier, open-weight, or self-hosted — call them all through a single typed interface. Swap models with a config change, never a rewrite.

TS · Python · Go
§ 02The Schematic

A single hop that pays for itself.

  1. Point your agents at InfernetOne base URL replaces every model-provider SDK you're juggling today.
  2. Declare a routing policyLatency budget, cost ceiling, quality floor, fallback order — in config, not code.
  3. The fabric does the workBatching, caching, retries, failover and accounting happen inline, per request.
  4. Watch the ledgerReal-time spend, throughput and trace data — down to the individual agent step.
Fig. 2 — Request pathinfernet/fabric
Your agents & services SDK
Infernet routing fabric POLICY
Batching · caching · failover INLINE
Frontier · open · self-hosted models ANY
1.9M
tokens / sec sustained
312ms
p50 first-token
4.3×
throughput / dollar
99.98%
fabric uptime
§ 03The Rate Card

Priced on throughput, not per seat.

You already pay the model providers directly. Infernet adds a thin, transparent fabric fee — and typically saves more than it costs through routing and batching.

BuilderA
$0 / mo
For prototypes and side projects finding their footing.
  • Up to 5M tokens / month routed
  • All models, one SDK
  • Basic routing policies
  • 7-day trace retention
  • Community support
Start free
Scale◆ Most adopted
1.4% of routed spend
For teams running agents in production at real volume.
  • Unlimited routed tokens
  • Continuous batching engine
  • Cost ceilings & budget alerts
  • 90-day traces + export
  • SOC 2 report · priority support
Start building
EnterpriseC
Custom
For regulated workloads and dedicated capacity.
  • Private fabric & region residency
  • BYO keys · self-hosted models
  • SSO, RBAC, audit exports
  • Custom SLAs & DPA
  • Solutions engineering
Talk to us
§ 04Questions of Record

The things engineers ask first.

Q1Is Infernet an AI middleman that resells model access?+
No. You keep your own provider accounts and keys — Infernet never marks up or resells model tokens. We sit in front of your models as a routing, batching and governance fabric. You pay the providers directly; we charge a transparent fabric fee for the orchestration layer.
Q2Which models can I route to?+
Every major frontier model, the leading open-weight families, and any endpoint you self-host. Because the SDK is model-agnostic, adding or swapping a model is a config change — your agent code never has to know which model answered.
Q3How do the cost ceilings actually work?+
You set hard token and dollar caps per route, tenant or workspace. As traffic approaches the ceiling, Infernet can throttle, downgrade to a cheaper model, or reject with a typed error — you choose the degradation strategy. No more surprise invoices from a looping agent.
Q4What does it take to migrate?+
Change one base URL and drop in the SDK. Most teams route their first production workload in an afternoon. Existing prompts, tools and agent frameworks keep working unchanged.
Q5Where does my data go?+
Nowhere you don't allow. PII redaction runs at the edge before requests leave your region, traces can be scrubbed of payloads, and Enterprise plans pin all processing to a residency region of your choice. We're SOC 2 aligned with a DPA available.

Give your agents an inference layer that keeps up.

Start free, route your first million tokens today, and watch the ledger balance itself. Talk to us when you're ready to scale.

Start building free → Book a call