Relevance AI
relevanceai.comBuild and run specialist AI agents for sales, support and operations
Build and run specialist AI agents for sales, support and operations
Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.
Design API specifications, send requests, generate mocks, run tests, and publish documentation in one project.
Record and schedule browser tests for web flows without writing the test steps by hand.
Inject controlled failures into services and infrastructure to test reliability and recovery behavior.
Monitor application, database, server, and web-transaction health from one managed console.
Deploy Dockerized web applications and managed databases with Aptible handling container releases and the underlying application infrastructure.
Plan software work with ticketing, sprint planning, collaboration, and repository connections.
Attribute Kubernetes spend to clusters, teams, namespaces, and workloads, then surface savings opportunities.
Build, test, and deploy code through visual or YAML-defined CI/CD pipelines.
Instrument API traffic to analyze customer behavior, troubleshoot usage, and build metered API products.
Employee reviews and development workflows within Microsoft Teams
Company-managed chats with conversation teams, shared files, tasks, and email connections.
Coordinate software-team backlogs, sprints, roadmaps, and delivery progress.
Manage manual test cases and runs, then bring automated results into a shared QA workspace.
Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.
Centralize application and infrastructure logs for search, routing, dashboards, and alerts.
Keep project to-dos, discussions, files, and deadlines together in one shared project space.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
European team chat that asks before interrupting and protects focus time.
A Kubernetes-oriented chaos engineering platform for running fault experiments and checking whether workloads stay healthy.
Meter product use and model subscription or credit pricing
Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.
Mobile time capture and online timesheets for teams working across locations and job sites.