Decode vs Pi Web: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Decode and Pi Web — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Decode

Entropik Technologies

Freemium

A human insights platform that uses emotion AI, webcam eye tracking, and predictive models to test creative, products, and experiences before launch.

Emotion AI Measurement: Face emotion, voice emotion, and text sentiment analysis reveal how respondents actually feel during a study rather than only what they report in an answer.
Webcam Eye Gaze Tracking: Real eye tracking runs through a participant's own webcam with zero hardware, producing attention heatmaps that show where people look first and what they miss.
AI Creative Insights: Neuro AI predicts attention, emotional resonance, brand recall, and conversion impact for ad creative, packaging, OOH, and web layouts before media spend is committed.
Synthetic Audience: Build reusable synthetic personas and compare how each creative performs persona by persona ahead of fielding a study with real respondents.
AI Moderator: Runs moderated and unmoderated interviews at scale, then extracts themes, emotions, and supporting evidence from raw interview and video feedback automatically.
Shopper and Shelf Simulation: Simulates real-world shelf and pack testing with attention heatmaps, shelf visibility analysis, planogram optimization, and purchase-intent prediction.
UX Research Suite: Prototype testing, unmoderated task studies, usability and wireframe testing, card and tree sorting, and live website and app testing, each enriched with gaze and emotion data.
Global Respondent Panel: Access to more than 103 million respondents worldwide, or bring your own panel free of charge on any plan.

Pre-Flight Ad Testing: Comparing creative variations and messaging options to predict which version earns attention and recall before buying media.
Packaging and Shelf Decisions: Testing pack designs and planograms in a simulated retail environment to forecast visibility and purchase intent.
Product Concept Validation: Screening product concepts, storyboards, and innovation ideas for early-stage market fit before committing development resources.
UX Friction Discovery: Running prototype and usability studies where webcam eye tracking and emotion signals expose confusion users cannot articulate.
Qualitative Research at Scale: Using the AI Moderator to conduct and synthesize many interviews into structured themes instead of manual transcript coding.
Brand Tracking and Price Testing: Running recurring consumer studies on brand perception, pricing, and the customer journey across multiple markets.

agegr

Free

Local web UI for the Pi coding agent — browse sessions, switch worktrees, manage models, and chat beside your project files in a browser.

Session Browser: Reads local Pi session files and organizes prior conversations by project for quick resume.
Fork and Continue: Continue from any earlier message or fork a session into a separate route to try alternatives safely.
Git Worktree Switcher: Switch between Git worktrees from the sidebar to work on multiple branches in parallel.
File Preview: Side-by-side chat and project file browser that previews source, docs, images, audio, and PDFs.
Model and Skill Manager: Configure models, API keys, run model tests, and toggle skills from the web UI instead of CLI flags.
Local-Only Runtime: Runs on http://127.0.0.1 by default so session data and code never leave the developer's machine.

Resume Prior Work: Reopen a conversation from last week by project instead of scrolling terminal history.
Safe Experimentation: Fork a session to try a risky refactor without losing the original conversation state.
Parallel Branch Work: Switch Git worktrees mid-session to jump between feature branches in one workspace.
Model Comparison: Rerun the same task against different configured models to compare output quality.
In-Browser Code Review: Preview generated diffs and project files beside the chat without leaving the browser.