Codex

Give RAG systems the reliability they need.

Codex detects and resolves inaccuracies across AI and RAG systems – ensuring trust in every response.

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An image comparing two scenarios of a virtual agent’s response to a user’s query, showcasing improvements with Codex integration.

Before (red background):
A user named Claudia asks, “Can I pay my monthly bill using Apple Pay?” The virtual agent responds, “Sorry, I couldn’t find any information about that,” indicating a lack of knowledge.

With Codex (green background):
Claudia asks the same question, “Can I pay my monthly bill using Apple Pay?” The virtual agent responds with a more informative answer: “We currently don’t support Apple Pay, but do support other digital payments such as PayPal, Google Pay, and Zelle.”

This demonstrates the enhanced capability of Codex in providing accurate and actionable responses.

What is Codex?

The platform for reliable GenAI.

Detect

Real-time evaluation for every LLM response

Automatically identify inaccurate responses from your RAG system, including errors stemming from hallucinations, retrieval errors, and knowledge gaps.

Resolve

Reliable outputs for your RAG systems

Manage SME-in-the-loop workflows that give your RAG the right context. The platform clusters similar issues, prioritizes them, and prevents repeated work—all without engineers.

RAG use cases

When GenAI delivers, you succeed.

Improve your customer’s experience with more accurate GenAI responses.

Improving generative accuracy from 70% to 95% makes agents more reliable, reducing frustration and improving customer satisfaction.

Your AI correctly interprets queries, minimizing irrelevant responses.
Delivers precise, helpful answers instead of generic replies.
Reduces escalations to human agents, improving efficiency.

Customer AI Agents

Improve your customer’s experience with more accurate GenAI responses.

Improving generative accuracy from 70% to 95% makes agents more reliable, reducing frustration and improving customer satisfaction.

Your AI correctly interprets queries, minimizing irrelevant responses.
Delivers precise, helpful answers instead of generic replies.
Reduces escalations to human agents, improving efficiency.

AI Assistants

Enable reliable research, smarter insights, and minimal human intervention for every response.

Higher accuracy enhances AI assistants’ ability to research and provide useful insights with minimal errors.

Your AI correctly interprets commands and context.
Provide more accurate recommendations, summaries, and reminders.
Users can trust AI to handle complex requests accurately.

Document Processing

Extract, summarize, and categorize information from documents with precision.

Greater accuracy improves AI’s ability to capture data and insights from large volumes of documents.

Identifies financial, legal, or regulatory risks more effectively.
Minimizes errors in pulling key information.
Generates accurate summaries without missing critical details.

Workflow Automation

Build reliable, repeatable processes with automation that minimizes human intervention.

Improving generative AI accuracy optimizes automated workflows, making business processes smoother and more efficient.

Automates routine tasks with fewer errors, saving time.
Improves decision-making and reduces costly mistakes.
Increases productivity by handling complex workflows reliably.

AI Data Labeling

Create high-quality, accurately labeled datasets, and improve machine learning performance.

Improving AI accuracy ensures better automated labeling, leading to higher-quality datasets for machine learning.

AI assigns correct categories with minimal human correction.
Reduces the need for manual oversight, speeding up processes.
Leads to better-performing AI models in downstream applications.

Our differentiators

Why use Codex?

Unmatched Real-time Detection

Our algorithms set the benchmark for accuracy, surpassing RAGAS, RAGAS++, G-Eval, and others in detecting and assessing LLM outputs.

Efficiency for SMEs

Clustered issues make it easy for SMEs to tackle similar questions, reducing workload and closing knowledge gaps faster. When answered once, it won’t come up again.

Quick and Easy Start

Get started in minutes with minimal code. Your data stays untouched, and there’s no need to retrain or fine-tune models. Updates happen instantly and RAG won’t fail on the same query.

A visual representation of clustered customer inquiries. The image contains several stacked cards labeled 'Clustered Questions' and 'Customer Inquiry.' Examples of clustered questions include 'What forms of payment are acceptable?' and 'What is the return policy for items on sale?' Under 'What promotions are available this month?', there are linked customer inquiries such as 'Are the next generation iPads on sale now?', 'Do you give any discounts on home appliances?', and 'I saw an ad for GDX printers, are they on sale now?'.

Deployment

Secure deployment options.

Choose the setup that fits your business need—always with zero data sharing.

SaaS

Secure, seamless access without any managing infrastructure.

Cloud Providers

Run Codex on trusted platforms like AWS and Azure.

VPC

Isolated private cloud for strict compliance and governance.

Easy to integrate.

Just a few lines of code gets you started with Codex. See what it can do to improve your RAG system performance and reliability.

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