Low cost, faster
AI classification

<200 ms latency · 10x cheaper than GPT-5-mini

No prompt engineeringSelf-calibrating accuracy
Try examples
billing×technical_support×sales×spam×
Model
Label
Conf
Latency
Cost/1M
classer
technical_support
0.94
0.05s
$5
GPT-5-mini
technical_support
0.95
0.89s
$59

Built for our own apps. Now open to everyone.

The Problem

You're overpaying for simple decisions.

You need to sort a support ticket. Detect spam. Route a phone call. Tag a product image. So you:

1

Iterate Prompts

Rewrite "be accurate" 47 ways until the model stops making things up.

2

Debug Schema Violations

Catch the 15% of responses that ignore your output format.

3

Face the Bill

Watch costs explode when you scale past demo.

It works. But it's slow, expensive, and embarrassingly over-engineered for a task that should take milliseconds.

The Solution

A dedicated engine for discrete decisions.

We stripped away the "chat" and let the intelligence focus on: turning messy data into accurate labels.

1

No more prompt engineering.

Provide your labels and let the engine auto-calibrate. No "Act as" fluff, no manual tweaking.

2

Zero schema violations.

Pure classification means zero hallucinations. Get the right format, every single time.

3

10x lower overhead.

Scale without the "LLM tax." Built for high-volume apps where speed and margins matter.

It's precise. It's predictable. It's the specialized infrastructure for the 90% of AI tasks that don't need a chat interface.

The Journey

Start in 60 seconds. Improve without ML engineers.

1

Zero-shot

Just pass your labels. It works out of the box.

2

Monitor

See every prediction in your console. Inspect confidence scores. Spot edge cases.

3

Correct

Add class descriptions. Label a few examples, or let a high-reasoning LLM do it automatically.

4

Auto-improve

Enable auto-calibration. The system distills your data into a custom model that lives in your account.

You stay focused on your product. The model gets smarter in the background.

Comparison

How we compare to General-Purpose LLMs

FeatureGeneralist (GPT-5 / Claude)Classer
Primary GoalHuman-like conversationHigh-speed classification
SetupWeeks of prompt engineering60-second "Zero-shot"
Developer CostHigh. Senior devs babysitting prompts.Low. Non-technical "Correct" loop.
LatencyVariable (Seconds)Deterministic (< 200ms)
Reliability15% Schema violations100% Valid Outputs
Cost$$$ (Input + Reasoning tokens)$ (Input tokens)

Pricing

Simple, predictable, and 10x more efficient.

Stop paying for reasoning you don't use. No complex tiers, just one flat rate for production logic.

PlanPriceBest For
DeveloperFreePrototypes and hobby projects (up to 10M tokens/mo).
Production$0.10 per 1M tokensProduction apps, high-volume classification, and background tasks.
EnterpriseCustomOn-premise deployment, dedicated infrastructure, priority support.

FAQ

Frequently Asked Questions

Stop babysitting prompts.

Get your API key in 30 seconds. First 10M tokens free.