Platform
The Cost Problem
Solution
How it works
Key benefits & features
Validation
FAQ
Receive the whitepaperBook Demo
Receive the whitepaperBook Demo

Reduce AI agents costs by 2–5× times without breaking quality

Automatically optimize model choice, prompts, and routing
for AI agents and LLM pipelines - directly in your existing stack

REDUCE SPEND
/
KEEP ACCURACY
/
SHIP FASTER
Receive the whitepaperBook Demo

Our platform

Watch how Argmin AI can help you save your budget

The Cost Problem

LLMS ARE POWERFUL — AND EXPENSIVE

Teams deploying AI at scale face the same issues:

•

Bloated prompts and excessive context windows

•

No systematic way to trade off cost vs quality

•

Optimization ideas stuck in research, not production

•

Overpowered (and overpriced) models used for simple tasks

Inference costs quietly become one of the largest line items in your AI budget

Solution overview

Argmin AI is an inference optimization engine
for LLM-based systems
We automatically
Choose the right model
Match each task
to the cheapest model that meets quality targets
Compress context
Compress prompts and context without degrading outputs
Route by risk
Route requests dynamically based
on difficulty and risk
Run always-on quality evaluation
Continuously evaluate quality with LLM-as-a-judge pipelines
Inference costs quietly become one of the largest line items in your AI budget
Book Demo

How it works

Optimization becomes systematic, not manual
Analyze your tasks, prompts, context, and cost structure
Optimize model choice, prompt, context management, and routing strategy
Validate quality automatically against your benchmarks and evaluation criteria
Provide several optimized AI agents
with different cost/quality ratio

Key benefits & features

Spend Less at Scale
2–5x inference cost reduction for many real-world tasks
Works Across Providers
Model-agnostic: works with proprietary and open-source LLMs
Confidence Built-In
Quality guarantees via automated evaluation
Plug In Quickly
Fast integration into existing LLM and agent pipelines
No retraining
/
No vendor lock-in
/
No risky rewrites
Book Demo

Validation

ArgminAI — research-backed, practice-validated solution
RESEARCH FOUNDATION
PROMPT COMPRESSION
Retain answer quality while compressing LLM input by 2-10x
Paper
CONTEXT MANAGEMENT (RAG)
Smarter retrieval yields +5-10 accuracy points, 3-5x fewer tokens
Paper
MODEL ROUTING (FrugalGPT)
Match GPT-4 performance with up to 98% cost reduction
Paper
SPECULATIVE DECODING
Achieve 2-3x latency reduction without quality loss
Paper
Building technology out of research is a big leap.
Very few teams can do it.
We see our mission to make accessible technology out of research.
TESTED IN PRACTICE
87%
COST REDUCTION
$1180 per 1M responses
instead of $9380
Internal Case Study:
Mental Health Conversational AI
Main challenge:
Keep quality estimated and data‑driven
Results
●
Cost reduction — 87%
●
Quality preserved — only 3.3% degradation
●
Clinical safety maintained at 97.6%
●
9-judge LLM-as-a-Judge validation
●
400-item edge-case stress test
Receive the whitepaper

FAQ

What if you are not ready to transfer data outside your organization at all?
Now we are testing our solution with the first design partners and can make a pilot with your organization on your own infrastructure.
Are you hesitant to pay before you see positive results?
For the first pilots, we are conducting a one-week research with your business case for free. If you like the results, we can run a paid pilot together with a fixed budget.
Privacy policyCookie settingsThird-party notices