Built Systems
Examples of systems IntelAnvil has designed, built, deployed, and operated.
AI analysis of framing, bias, and influence.
AI-assisted prospect research and personalized outreach.
Human evaluation of how images are perceived.
Human feedback on real website experiences.
AI analysis of open-ended qualitative responses.
AI-powered analysis of framing, bias, and influence in news articles and other written content.
CheckTextBias analyzes how language, evidence, emphasis, and selection shape the interpretation of a text. It turns complex textual analysis into structured, shareable reports that help users examine framing and influence more systematically.
AI-assisted prospect research, qualification, and personalized outreach.
CuratedOutbound combines company research, prospect evaluation, contact discovery, workflow automation, and AI-assisted personalization to support more targeted and scalable outbound activity.
Structured human evaluation for understanding how images are perceived.
JudgeMyImage collects judgments from real people and turns subjective reactions into structured feedback. It can be used to compare alternatives, understand first impressions, and identify how an image could be improved.
Human feedback for understanding how real visitors experience a website.
JudgeMyWebsite collects structured first-impression and usability feedback from real people to reveal issues with clarity, trust, communication, and overall experience.
AI-assisted analysis of surveys, reviews, feedback, and other open-ended text.
TextResponseHub processes collections of qualitative responses to identify recurring themes, patterns, concerns, differences, and other signals that are difficult to see by reading responses individually.
IntelAnvil builds systems around what each situation requires, from analysis and human evaluation to growth, outreach, and operational workflows.
Let’s determine what it needs to do and the best way to build it.