Put reproducible semantic analysis inside
the workflows you already run.
Sentiqra turns text into structured detection evidence across safety, security, crisis, finance, and information-integrity workflows.
Your applications, analysts, policies, and agents decide what happens next.
12 production analyzers · Structured signals · Reproducible semantic analysis · No generative AI
One semantic analysis layer. Many business processes.
Sentiqra supplies the evidence. You control the workflow.
Content moderation
Prioritize, route, and review harmful-content signals.
Use Trust & Safety analyses inside moderation pipelines without outsourcing your enforcement policy.
Useful for
Community platforms · Marketplaces · Gaming · Messaging · Education
Sentiqra provides
Groups · Indicators · Confidence · Detection config · Classification fingerprint
Your policy determines the enforcement action.
Security operations
Turn suspicious text into structured SOC evidence.
Analyze phishing and social-engineering mechanisms before routing content into security workflows.
Useful for
Email security · SOC triage · Threat intelligence · Abuse operations
Business value
Enrich alerts · Prioritize analyst queues · Distinguish threat mechanisms · Add structured signals to SIEM records
Sentiqra identifies threat-related text signals. Your security team determines the response.
Crisis and OSINT analysis
Reduce large text streams into reviewable event queues.
Turn high-volume news, reports, and feeds into structured crisis-event signals for analyst prioritization.
Useful for
Crisis monitoring · OSINT · Humanitarian analysis · Security intelligence
Business value
Reduce analyst reading volume · Route events by mechanism · Create repeatable screening · Preserve prioritization evidence
Sentiqra supplies structured signals. Analysts remain responsible for the assessment.
Financial intelligence
Turn market-moving text into structured event signals.
Normalize event detection across news, filings, and feeds - then route signals to the right model or team.
Useful for
Research · Risk · Surveillance · News analytics · Event-driven models
Event types
Acquisition · Leadership change · Regulatory event · Litigation · Guidance change · Capital action
Your models and policies determine the action. Sentiqra supplies the structured event evidence.
Information integrity
Detect manipulation mechanisms without turning the analyzer into a truth oracle.
Prioritize potentially manipulative content for review based on documented manipulation techniques.
Useful for
Platform integrity · Research · Brand protection · Information-integrity teams
Business value
Prioritize review · Separate mechanisms from political viewpoint · Aggregate recurring signals · Build evidence-driven investigation queues
Sentiqra detects manipulation mechanisms, not political viewpoints or factual “truth.”
AI agents
Give agents deterministic evidence before they reason - and enforce it at the action boundary.
Agent-called MCP tools produce evidence for reasoning. For privileged actions, the check belongs inside your tool gateway: the gateway invokes the required checks itself and executes - or refuses - the proposed call.
Deterministic tool output. Gateway-enforced execution.
A benign analysis is evidence, not authorization: signals inform your policy - they never grant tool access by themselves. Identity, scopes, and approval binding live in your gateway, not in the analyzed text.
Combine evidence across domains
Some workflows need more than one analyzer.
Use only the analyzers your workflow needs. Each analyzer processing one input counts as one analyzer run.
One input analyzed against two domains counts as two analyses.
Support and abuse escalation
Route customer messages by risk type before they reach a human.
Analyze incoming messages against Trust & Safety and Cybersecurity to separate normal support from abuse and security threats.
Sentiqra helps separate normal support traffic from abuse and security threats before specialist review.
Discrimination review
Analyze discriminatory language in text for human review.
Route complaints and communications containing discriminatory language to specialist review queues.
Sentiqra analyzes discriminatory language in text. It does not determine whether unlawful discrimination occurred or make employment, housing, education, or eligibility decisions.
A consistent pattern across every workflow.
1. Receive text
Content arrives from your application, platform, feed, agent, or analyst workflow.
2. Analyze
Sentiqra returns structured groups, indicators, and confidence values.
3. Apply decision logic
Your policy, rules, analysts, models, or agents interpret the evidence.
4. Route or act
Send the result to queues, dashboards, SIEM, case systems, or downstream automation.
5. Reproduce
Use the detection config and classification fingerprint to verify or replay later.
Sentiqra fits between text and decision.
Sentiqra does not replace your moderation policy, SOC analyst, financial model, investigator, or AI agent.
It gives each of them a structured signal layer they can consume consistently.
Build the workflow you need.
Start free, try the playground, or read the API docs.
5,000 analyzer runs/month free · No card required