logo

logo

The First Vibe Modeling Platform

Build your micro-models that are structured, consistent, and free from hallucinations at a fraction of the cost

By Single Prompt

Arix AI micro-models platform - Build structured AI models with single prompt

Turn your ideas into models

Document Classification

Categorizing documents into predefined categories based on their content

Risk Classification

Classifying documents into predetermined risk levels by analyzing their content

PII Detection

Detecting personally identifiable information (PII) in text

LLMs Struggle Where Businesses Need Reliability

Only 5% of enterprise AI pilots reach full production.
MIT NANDA's GenAI Divide reports that most pilots never reach production due to limited customization, weak integration, and costly scaling challenges. LLMs perform well in open chat environments but break down in structured settings, where outputs must be consistent, formatted, and deterministic.


Over 60% of LLM Outputs Still Require Human QA
Even when deployed, LLM-driven systems exhibit high hallucination and error rates, both structural (format/schema) and semantic (content/task), making them unstable to integrate.
According to AI21, hallucination rates range from ~1–5% in general domains to over 60% in specialized tasks, forcing enterprises to build costly QA layers just to maintain reliability.


LLMs Are Too Slow for Real-Time Use-cases
Real-time enterprise workflows demand ~200 ms response times, yet large LLMs often exceed 500 ms. (GPT-4o averages ~760 ms to first token). Smaller, task-optimized models respond in 50–150 ms, making them the only viable choice for real-time, production workloads.


And If That Wasn't Enough...
NVIDIA Research Spoke What Our Minds Whispered: "Small Language Models are the Future of Agentic AI"

NVIDIA Research findings on LLM limitations

Our Solution

A Complete AI model creation platform

Arix reduce llm cost by 80% - AI micro-models platform feature

Reduce LLM cost by 80%

Arix better results than any single llm - AI micro-models platform feature

Better results than any single LLM

Arix deployment in hours - AI micro-models platform feature

Deployment in hours

Arix secured and isolated - AI micro-models platform feature

Secured and isolated

Arix 0 hallucinations or need for post-qa validation - AI micro-models platform feature

0 hallucinations or need for post-QA validation

Arix up to 10x faster inference time than traditional llms - AI micro-models platform feature

Up to 10x faster inference time than traditional LLMs

Arix configured and tuned through chat - AI micro-models platform feature

Configured and tuned through chat

Arix 24/7 support - AI micro-models platform feature

24/7 Support

Arix operate on a success-based model

We charge 20% of the savings we generate for you

Cost Calculator

Calculate the cost for processing your workload across different AI models

Calculate Cost

GPT-5

$3,250.00

Gemini 2.5 Pro

$3,250.00

Gemini 3 Pro

$4,400.00

Arix Custom SLM

(80% cheaper)

The difference looks small now...

But at production scale, this gap widens faster than your revenue does

Example use case

Running 1M user posts for both policy violations and sentiment analysis, requiring two LLM calls for each review

Volume: 1M input texts | Prompt Size: 1,000 tokens | Output Size: 200 tokens

ModelPrompt Engineering OverheadError & Hallucination RateLatencyTime to CompleteCost
GPT-5Extensive~1.4%~4.5-5 seconds~7.2 days (8 parallel)$3,250.00
Gemini 2.5 ProExtensive~2.6%~5-6 seconds~7.23 days (8 parallel)$3,250.00
Gemini 3 ProExtensive~2.6%~5-6 seconds~7.23 days (8 parallel)$3,250.00
Arix Custom SLMsNone0% (structured)< 50 ms80 minutes (8 parallel)80% cheaper