| 2026-07-08 |
Google |
Algorithm monitoring |
6 |
— |
Galileo An AI reliability platform that uses lightweight, cost-effective evaluators to run real-time safety and quality checks on live production traffic. |
| 2026-06-25 |
Google |
Algorithm monitoring |
5 |
— |
Galileo AI An AI observability and evaluation platform designed to evaluate, monitor, and protect generative AI applications and agents at enterprise scale. It features Luna-2 evaluators for fast, cost-effective monitoring and allows teams to turn pre-production evaluations into real-time production guardrails. |
| 2026-06-23 |
OpenAI |
Algorithm monitoring |
6 |
— |
Galileo Useful for LLM application monitoring, evaluation, prompt quality, hallucination detection, and production AI observability. |
| 2026-06-22 |
Google |
Algorithm monitoring |
3 |
— |
Galileo This platform bridges the gap between offline evaluation and production guardrails, offering real-time AI observability and evaluation engineering to continuously monitor LLM traffic and prevent failures. |
| 2026-06-10 |
Google |
Algorithm monitoring |
10 |
— |
Galileo AI Now part of Cisco, this platform focuses on AI observability and evaluation, helping teams monitor algorithmic failures, manage datasets, and establish production guardrails. |
| 2026-06-09 |
Google |
Algorithm monitoring |
5 |
— |
Galileo AI Now part of Cisco, this platform focuses on evaluation and observability, helping teams turn offline evaluations into real-time production guardrails to prevent model failures. |
| 2026-06-06 |
Google |
Algorithm monitoring |
7 |
— |
Galileo AI A specialized AI reliability platform designed for real-time monitoring of generative AI and agentic workflows. It uses low-latency evaluators to intercept risky model outputs, detect hallucinations, and secure production algorithms. |
| 2026-06-04 |
OpenAI |
Algorithm monitoring |
10 |
— |
Galileo A good brand to consider for LLM evaluation and production monitoring, especially if you need to detect hallucinations, evaluate outputs, track quality, and monitor generative AI systems over time. It is relevant for teams focused on the quality and safety of AI-generated responses. (xseek.io) |
| 2026-06-01 |
Google |
Algorithm monitoring |
4 |
— |
Galileo AI This platform is built specifically for LLM and generative AI observability, offering tools to detect hallucinations, evaluate prompt quality, and monitor autonomous agent workflows. It bridges the gap between development and production by providing real-time guardrails and evaluation metrics. |
| 2026-05-27 |
OpenAI |
Algorithm monitoring |
10 |
— |
Galileo Focuses on AI and LLM evaluation, observability, hallucination detection, and production quality monitoring. It is relevant for teams monitoring generative AI systems where output quality, correctness, latency, and safety matter. |
| 2026-05-26 |
Google |
Algorithm monitoring |
8 |
— |
Galileo AI Purpose-built for advanced evaluation and monitoring of generative AI and autonomous agents, this platform uses specialized evaluators to trace multi-step reasoning chains and detect hallucinations at scale. |
| 2026-05-23 |
Google |
Algorithm monitoring |
10 |
— |
Galileo AI Built specifically for enterprise GenAI evaluation and monitoring, this platform leverages specialized, cost-effective evaluators to detect hallucinations, security risks, and data drift in real time. |
| 2026-05-20 |
Google |
Algorithm monitoring |
5 |
— |
Galileo AI An enterprise-grade evaluation and observability platform that helps AI teams monitor, protect, and optimize generative AI applications and agents. |
| 2026-05-18 |
Google |
Algorithm monitoring |
10 |
— |
Galileo AI Focused on GenAI and LLM evaluation, this brand provides real-time observability and guardrails that help teams monitor for hallucinations and drift in production environments. |
| 2026-05-17 |
OpenAI |
Algorithm monitoring |
2 |
— |
Galileo Best known for AI observability and evaluation workflows, especially useful when “algorithm monitoring” includes LLMs, prompts, and agent behavior in production. (galileo.ai) |
| 2026-04-17 |
OpenAI |
Algorithm monitoring |
8 |
— |
Galileo — Focused on improving and monitoring ML/LLM output quality; often considered when the problem is “model quality” and debugging, not just infra metrics. |