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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Ordica serves as an AI infrastructure layer aimed at lowering the expenses associated with utilizing large language models by compressing prompts before they reach providers such as GPT-4o, Claude, Gemini, or Grok. Acting as a nimble proxy positioned directly in the request flow, it eliminates the need for additional dependencies. Users can effortlessly direct their current SDKs to Ordica’s endpoint while keeping their existing API keys intact. All prompt processing occurs entirely in memory, allowing for compression during transit and forwarding to the chosen provider without any storage, logging, or retention of message content, thus maintaining data privacy throughout the entire process. Ordica intelligently determines when to compress a request based on established confidence thresholds; if the compression is likely to maintain output quality, it reduces token consumption, while if not, the request is transmitted in its original form, ensuring the integrity of responses. This method empowers developers to realize significant cost reductions across various workloads, enhancing overall efficiency in their operations. Ultimately, Ordica represents a forward-thinking solution for optimizing interactions with large language models.

Description

Sup AI is an innovative platform that integrates outputs from various leading large language models, including GPT, Claude, and Llama, to produce more comprehensive, precise, and thoroughly validated responses than any individual model could achieve alone. It employs a real-time “logprob confidence scoring” system that evaluates the likelihood of each token to identify uncertainty or potential inaccuracies; if a model's confidence dips below a certain level, the response generation is halted, ensuring that the answers provided are of high quality and reliability. The platform's “multi-model fusion” feature then systematically compares, contrasts, and combines outputs from multiple models, effectively cross-verifying and synthesizing the strongest elements into a cohesive final answer. Additionally, Sup is equipped with “multimodal RAG” (retrieval-augmented generation), allowing it to incorporate a variety of external data sources, including text, PDFs, and images, which enhances the context of the responses. This capability ensures that the AI can access factual information and maintain relevance, effectively allowing it to "never forget" critical data, thereby improving the overall user experience significantly. Overall, Sup AI represents a significant advancement in the way information is processed and delivered through AI technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
Claude Sonnet 4.5
Gemini 2.5 Flash
Claude Haiku 4.5
Claude Opus 4.6
Claude Opus 4.7
GLM-4.5V
GLM-4.5V-Flash
GLM-4.6V
GLM-4.7
GLM-5.1
GPT-5 mini
GPT-5.1 Thinking
Gemini
Gemini 3.1 Flash-Lite
Gemini 3.5 Pro
Grok 4
Grok 4 Fast
JSON
Qwen3-Max

Integrations

Claude
Claude Sonnet 4.5
Gemini 2.5 Flash
Claude Haiku 4.5
Claude Opus 4.6
Claude Opus 4.7
GLM-4.5V
GLM-4.5V-Flash
GLM-4.6V
GLM-4.7
GLM-5.1
GPT-5 mini
GPT-5.1 Thinking
Gemini
Gemini 3.1 Flash-Lite
Gemini 3.5 Pro
Grok 4
Grok 4 Fast
JSON
Qwen3-Max

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$20 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oridica

Country

United States

Website

ordica.ai/

Vendor Details

Company Name

Sup AI

Country

United States

Website

sup.ai/

Product Features

Product Features

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