
Alye
LLM observability platform for tracking cost, latency, and errors in AI applications.
About
Alye provides observability for large language model (LLM) applications, allowing teams to monitor and manage the cost, latency, and errors associated with their AI model calls. It offers detailed breakdowns of spending by service, model, and customer, along with tracing capabilities and alerts for performance issues and cost spikes. Alye integrates with various LLM providers and frameworks, including OpenAI, Anthropic, and Google Gemini.
Listed competitors
Also in this space
Advanced cost management and governance platform for FinOps, automating savings and accurate cost allocation.
Shares MLOps, Observability
An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.
Shares Developer Tools, AI Infrastructure
Data observability platform for data reliability and quality.
Shares Observability, MLOps
A meta machine learning platform for tracking, comparing, and optimizing ML experiments.
Shares MLOps, Observability
AI-powered platform for identifying production code bottlenecks and cloud cost inefficiencies.
Shares MLOps, Observability
High-performance observability warehouse and real-time analytics platform powered by Apache Druid.
Shares Observability, MLOps
Key facts
- Website
- alye.ai
- Business model
- B2B
Tech stack
Detected on alye.ai, last scanned 27 Oct 2026. Run your own scan
- Frontend
- Next.js, Tailwind CSS
- CDN
- Vercel
- Email provider
- Microsoft 365
- Integration capability
- Slack, Microsoft Teams
Frequently asked
Is Alye trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Alye is 78 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
