IntelligenceUnified.

We build frontier reasoning models and the infrastructure to run them — designed for the irreducible complexity of the real world.

Trusted by teams building the frontier

[ 01 ]
Capabilities

Built for the hardest problems.

Real evaluations, not marketing. Every number below is a live, reproducible benchmark.

01Core model

Frontier reasoning

Caether-1 sets state-of-the-art scores across reasoning, math and code — a new bar for inference on problems it has never seen.

Massive Multitask Language Understanding

higher is better
Caether-1
0%
GPT-class
0%
Claude-class
0%
Gemini-class
0%
Llama-class
0%
02Infrastructure

Real-time inference

Sub-100ms median latency at scale. The serving stack is co-designed with the architecture to eliminate bottlenecks.

Inference latency72 ms
03Reliability

Grounded by design

Native tool use, structured output and retrieval — built in, not bolted on. 4× lower hallucination than comparable models.

Throughput0 tok/s
04Multimodal

Universal context

Documents, codebases and full histories in a single call. 98.7% needle-in-haystack recall at the full 128K window.

128K recall98.7 %
05Security

Enterprise compliance

SOC 2 Type II, GDPR data residency, zero-retention inference, SSO and fine-grained RBAC out of the box.

SOC 2 · GDPR · HIPAA
06Agents

Programmable agents

Compose multi-step pipelines with the Agent SDK — stateful memory, tool orchestration and human checkpoints from one API.

Agent SDK v2
[ 02 ]
How it works

Zero to production in three steps.

01
Step 1/3

Connect in minutes

A single SDK install. No infrastructure to provision, no model weights to manage. Authenticate with an API key and send your first request in under five minutes.

quickstart.py
import osfrom caether import Clientclient = Client(    api_key=os.getenv("CAETHER_API_KEY"))response = client.chat.create(    model="caether-1",    messages=[{"role": "user", "content": "Hello"}])print(response.content)
02
Step 2/3

Define your agent

Compose tool use, memory retrieval, and structured output schemas directly in code. The model handles orchestration — you define the logic.

agent.py
from caether import Agent, toolsagent = Agent(    model="caether-1",    tools=[tools.search, tools.browser],    memory={"type": "vector", "ttl": "7d"},)result = agent.run("Summarize today's news")
03
Step 3/3

Ship to production

Autoscaling, 99.9% uptime SLA, and global edge inference — all included. Monitor usage, set spend limits, and manage team access from the dashboard.

deploy.py
from caether import deployapp = deploy(    agent="caether-1",    region="global",    scaling="auto",    max_spend=500,)print(app.status)  # -> "live"
[ 03 ]
Pricing

Transparent pricing. No surprises.

All plans include access to Caether models. Upgrade or downgrade at any time.

CREATORS SPECIALMost Recommended
Subscribe
$19/month

CaetherHeavy

  • Perfect for individual builders
  • Freelancers and entrepreneurs
  • AI-Powered editing tools
  • Basic Analytics to track performance
$0/month

CaetherHeavy Lite

  • Perfect for beginners
  • Unlimited Content Generation
  • AI-Powered editing tools
$49/month

CaetherHeavy Pro

  • Ideal for small teams and agencies
  • Collaborative features like shared projects
  • Advanced Analytics to optimize strategy
ENTERPRISE
Subscribe
$99/month

CaetherHeavy Max 6x

  • Designed for large companies
  • High-volume content creators
  • Dedicated account management
$299/month

CaetherHeavy Max 25x

  • Maximum throughput, no limits
  • Priority infrastructure access
  • White-glove onboarding & SLA
  • Custom model fine-tuning

All prices in USD. Cancel any time.

10×
faster reasoning
99.9%
uptime SLA
200+
enterprise teams
<100ms
median latency

Build with intelligence
that keeps up.

Start free. Scale when you're ready. No credit card required.