Fyxit AI (HubbleIQ) records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.
School-district IT monitoring with an AI copilot called Rosie
Find and fix problems in your AI agents before users do
| Dimension / Metric | | |
|---|---|---|
| Official Domain | hubbleiq.com | raindrop.ai |
| Pricing Model | Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 0 (0) | 42.81K (42,807) |
| MoM Traffic Delta | 0 (0%) | -9.63K (-18.4%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (77.1%) |
| Direct Visits / mo | 0 | 23.55K |
| User Rating | 4.1 | 4.4 |
| Supported Platforms | Website | Website |
School-district IT monitoring with an AI copilot called Rosie
A single site map shows status per school building, so IT can spot which campus is degraded without digging through separate dashboards.
Monitors district Chromebook fleets at scale, flagging battery health decline and provisioning anomalies before refresh planning locks in.
Rosie answers natural-language questions about network health, offline buildings and week-over-week changes, and shows the evidence behind each answer.
Staff and students troubleshoot with Rosie using the district's own help documents, so evidence arrives with the ticket when IT is truly needed.
Find and fix problems in your AI agents before users do
See every message, tool call and decision in a run, with inputs, outputs and durations, so you can pinpoint where a run broke down.
Recurring failures are grouped into issues with severity, affected users, last-seen time and a confidence score, instead of scattered alerts.
An agent investigates issues and automates follow-up across Slack, the web app and MCP, so debugging happens where your team already works.
Run scenarios against a change on a pull request and compare results with real traffic to catch regressions before merge.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams
Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org
Automated QA, simulation and observability for voice and chat AI agents
Free / Open-sourceAI workforce analytics that turn monitoring data into productivity and cost decisions.
Free / Open-sourceAI workforce analytics that turn monitoring data into productivity and cost decisions.
Decision infrastructure for governed enterprise AI agents
Decision infrastructure for governed enterprise AI agents
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues
