AI Forms & Analytics

A next-generation feedback platform featuring behavioral telemetry, attention scoring, and local LLM validation — transforming simple forms into intelligent data collection instruments.

The project is ranked in the Top 100 of the Moscow Innovation Cluster.

Behavioral Telemetry

The platform captures rich behavioral signals as users interact with forms: mouse movements, answer selection patterns, field focus duration, and scroll behavior. This telemetry feeds into the attention scoring model.

Attention Scoring

A hybrid CNN+MLP architecture processes behavioral telemetry to generate an attention score for each response, distinguishing engaged respondents from those rushing through forms.

AI-Powered Validation

Beyond behavioral telemetry, open-ended responses are validated using a locally-hosted custom AI model, ensuring data quality without sending sensitive information to external servers. The LLM detects nonsensical answers, spam, and low-effort responses in real time.

Key Highlights

• Custom LLM — filters out low-quality open-ended responses
• CNN+MLP scoring — AI attention model from behavioral signals
• Real-time telemetry — mouse, scroll, focus, and hesitation tracking
• Privacy-first — all AI processing runs locally