Research and safety
for artificial intelligence

Trusted by industry leaders

Built for regulated,
safety-critical industries

Customer Support AI

Reliable chatbots at scale

Verify that your support chatbot answers accurately, handles edge cases gracefully, and never hallucinates policy information. Grysics tests consistency across thousands of query variations and monitors response quality in production.

>95%
Accuracy
97%
Consistency
<2%
Hallucination rate
Data flow
User Query
RAG Pipeline
Grysics Verify
Response
Monitor

System architecture

How Olyxee connects strategy, execution, and verification into one coherent stack.

O
Olyxee Core
Strategy & orchestration layer

The brain — handles API routing, application registry, verification scheduling, monitoring coordination, and customer-facing platform services.

OEB
Edge Box Division
Execution layer

The hands — manages physical edge deployments, device provisioning, OTA updates, and hardware abstraction across Jetson, RPi, Intel, and custom silicon.

JetsonRPiIntel NCS2Custom
G
Grysics Engine
Verification layer

Quality control — tests AI applications for accuracy, consistency, and hallucination. Monitors chatbots, RAG pipelines, and agent workflows in production.

AccuracyConsistencyHallucinationRAG EvalDrift
Orchestrates|OpenAI · Anthropic · LangChain · LlamaIndex · Custom|REST API · Python SDK · CLI
Olyxee (brain) → OEB (hands) → Grysics (quality control)

Developer tools

Everything you need to build, test, and ship reliable AI.

Coming soon

SDK

Python and C++ libraries for model verification, optimization, and deployment.

Coming soon

CLI

Command-line tools for managing deployments, running tests, and monitoring.

Coming soon

API

RESTful API for programmatic access to the Grysics platform.

Coming soon

Docs

Comprehensive guides, tutorials, and API reference.

Advancing AI reliability

Published research from the Olyxee team.

Automated Hallucination Detection in RAG Pipelines

A framework for detecting and measuring hallucination rates in retrieval-augmented generation systems, with configurable thresholds and continuous monitoring.

AI Reliability·2025

Consistency Metrics for Conversational AI Systems

Measuring behavioral consistency in chatbots and agent workflows across query variations, prompt perturbations, and temporal drift.

Evaluation·2025

End-to-End RAG Evaluation: Retrieval, Context, and Response

A comprehensive evaluation methodology for RAG pipelines that independently scores retrieval quality, context utilization, and response faithfulness.

RAG Systems·2025

Ready to build AI
that works?

Get started with Olyxee's developer tools, or reach out to discuss enterprise solutions.