High-performance
AI classification
Beats GPT-5.4 accuracy · up to 100x cheaper · real-time latency
Built for our own apps. Now open to everyone.
The Problem
You're overpaying for most AI tasks
You need to sort a support ticket. Detect spam. Route a phone call. Tag a product image. So you:
Iterate Prompts
Rewrite "be accurate" 47 ways until the model stops making things up.
Debug Schema Violations
Catch the 15% of responses that ignore your output format.
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 the 90% of AI tasks
We stripped away the "chat" and let the intelligence focus on: turning messy data into accurate labels.
No more prompt engineering.
Provide your labels and let the engine auto-calibrate. No "Act as" fluff, no manual tweaking.
Zero schema violations.
Pure classification means zero hallucinations. Get the right format, every single time.
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.
Comparison
How we compare to General-Purpose LLMs
Primary Goal
Classer: High-speed classification
LLM: Human-like conversation
Setup
Classer: 60-second "Zero-shot"
LLM: Weeks of prompt engineering
Developer Cost
Classer: Low. Non-technical "Correct" loop.
LLM: High. Senior devs babysitting prompts.
Latency
Classer: Deterministic (< 200ms)
LLM: Variable (Seconds)
Reliability
Classer: 100% Valid Outputs
LLM: 15% Schema violations
Cost
Classer: $ (Input tokens)
LLM: $$$ (Input + Reasoning tokens)
Benchmarks
Tested on 33 public datasets
Classer beats GPT-5.4-mini on the top classification benchmarks — with zero training data.
Average
75.8%
Classer
Average
67.7%
GPT-5.4-mini
| Dataset | Classer | GPT-5.4-mini |
|---|---|---|
| LexGLUE ECtHR | 63.0% | 15.6% |
| Financial PhraseBank | 69.8% | 24.1% |
| LexGLUE Unfair-ToS | 58.5% | 24.9% |
| LexGLUE SCOTUS | 70.0% | 44.5% |
| App Reviews | 65.0% | 40.5% |
| Sarcasm Detection | 76.0% | 58.0% |
| RumourEval | 84.5% | 71.0% |
| TREC Question | 94.5% | 81.5% |
| SMS Spam | 97.0% | 90.5% |
The Journey
Start in 60 seconds. Improve without ML engineers.
Zero-shot
Just pass your labels. It works out of the box.
Monitor
See every prediction in your console. Inspect confidence scores. Spot edge cases.
Correct
Add class descriptions. Label a few examples, or let a high-reasoning LLM do it automatically.
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.
PRICING
Predictable, low-cost AI pricing
Pay for input tokens only. Choose the priority tier and save up to 8x vs public LLMs.
| Priority | Price / 1M | Latency | Best For |
|---|---|---|---|
| Fast | $0.60 | <200msP95 | Real-time UX, chatbots |
| Standard | $0.20 | <1sP95 | Background processing |
| Fast Batch | $0.08 | <15minP95 | Bulk analysis, exports |
Fast Batch Processing
Millions of results in 15 minutes
Just upload a file — up to 50 million rows per job — and get labeled results back at whatever scale your pipeline needs.
Lowest cost
If you don't need instant answers, Batch is the cheapest way to run Classer
FAQ
Frequently Asked Questions