Start with LLMs. Graduate to pennies.

For product engineers who need classification without an ML team. Start classifying immediately with LLMs. As you provide feedback, Infercalm learns to route to faster, cheaper strategies—average 4x cost reduction after 10,000 classifications. No training pipelines. No ML expertise required.

# Start classifying immediately
from infercalm import Client

client = Client(api_key="your_key")

result = client.classify(
    text="This product exceeded my expectations!",
    labels=["positive", "negative", "neutral"]
)

# Provide feedback to improve routing
client.feedback(result.id, correct_label="positive")

# Infercalm learns to use cheaper strategies over time
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Real results

"Infercalm reduced our classification costs by 73% over 6 weeks while maintaining 98.5% accuracy."

Early adopter, content moderation platform processing 2M+ classifications/month

73%
Cost reduction
6 weeks
Time to savings
98.5%
Accuracy maintained

How it works

  1. Zero-shot classification

    Works immediately using LLMs. No training data required. Start classifying on day one.

  2. Learn from feedback

    Multi-armed bandit learns which strategy works best for your use case. Patient optimization through learning.

  3. Automatic graduation

    Routes simple queries to cheap embeddings, complex cases to LLMs. P50 latency drops from 800ms to 12ms as routing matures. Your costs decrease as the system learns.

  4. Per-tenant learning

    Your data improves your routing. Each customer gets personalized optimization without sharing data.

Learn more

Key features

Intelligent routing

Multi-armed bandit automatically selects the best strategy: LLM, embeddings+kNN, or vertical models.

Cost optimization

Start with expensive LLMs, graduate to fast embedding lookups. Your spend decreases over time.

No ML expertise

Works immediately. No model selection, no hyperparameter tuning, no training pipelines.

Your costs decrease over time

Watch how Infercalm automatically shifts from expensive LLMs to cheap embeddings as it learns

Day 1
LLM (100%)
Every request
Cost: $0.50/request
Latency: 800ms
Week 2
LLM (60%)
Embeddings (40%)
Cost: $0.22/request
Latency: 480ms avg
Week 6
Embeddings (85%)
LLM (15%)
Complex cases only
Cost: $0.12/request
Latency: 12ms avg
The only classification API that gets faster and cheaper as you use it.

Why Infercalm is different

Automatic routing vs. one-size-fits-all

Other APIs: One model, one price, forever.
Infercalm: Automatic routing that reduced costs 73% for our early adopters.

Learning system vs. static pricing

Other APIs: Pay the same rate on day 1 and day 1000.
Infercalm: Your costs decrease as the system learns your patterns.

No training required vs. ML complexity

Other solutions: Manage datasets, tune hyperparameters, deploy models.
Infercalm: Works immediately. Gets better automatically.

Per-tenant optimization vs. shared models

Other APIs: Everyone uses the same model.
Infercalm: Your data improves your routing without sharing.

Ready to reduce your classification costs?

Join early adopters already seeing 4x cost reductions

Get started