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Sentiora

Monitors AI conversations in production to detect policy violations and incident management.

AnalyticsMonitoringSecurityCompliance
sentiora.io ↗LinkedInLaunched on Product Hunt · 2026-08-11
At a glanceswept 2026-09-17
For
Teams deploying AI assistants to customers who need production monitoring and incident management.
Price
Price not read
Use
Emerging
Activity
Activity not read yet
Company
since 2026first launch
What people do with it
  • Detect policy violations and risky replies in live AI conversations
  • Investigate flagged incidents and assign ownership for resolution
  • Improve prompts and policies based on production evidence
Alternatives in Analyticsby use, among tools still maintained
  • JotformBuilds online forms with drag-and-drop interface, collects submissions, and integrates with business apps.Widely usedActivity not read yet
  • EvidenceDefines analytics dashboards and reports as code in version control, with an agent that answers data questions in natural language.Widely usedActivity not read yet
  • GrowthBookRuns A/B tests, manages feature flags, and analyzes product data from your data warehouse.Widely usedActively maintained
  • RipplingManages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.Widely usedActivity not read yet
  • LeanpubPublishes and sells ebooks, courses, and bundles authored by individuals and organizations.Widely usedActively maintained
  • DataboxConnects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.Widely usedActively maintained

All Analytics tools →

Questions this page answers
  • What is Sentiora?

    Monitors AI conversations in production to detect policy violations and incident management.

  • Who is Sentiora for?

    Teams deploying AI assistants to customers who need production monitoring and incident management.

  • Do people use Sentiora?

    Emerging.

  • What are alternatives to Sentiora?

    In Analytics, by use: Jotform, Evidence, GrowthBook, Rippling, Leanpub, Databox.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.