Decode vs Panorama: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Decode and Panorama — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Decode
Entropik Technologies
A human insights platform that uses emotion AI, webcam eye tracking, and predictive models to test creative, products, and experiences before launch.
Key features
- 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.
Best for
- 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.
Panorama
Amazon Web Services (AWS)
Persistent memory assistant that keeps what you learned running so you have space to create and evolve.
Key features
- Edge appliance for running computer vision models on‑premises (Panorama device)
- Panorama SDK for building vision applications that run on device
- Test Utility: Python libraries and CLI to simulate Panorama apps without hardware
- Sample applications and Jupyter (.ipynb) notebooks demonstrating use cases
- DX CLI tooling for managing and deploying Panorama applications
- Support for developing, testing, and iterating applications before provisioning devices
- Integration points for connecting on‑prem cameras and Panorama‑enabled cameras
- Graph/project JSON and node package assets to configure apps and pipelines
Best for
- Real‑time on‑premises video analytics for manufacturing and quality assurance
- Retail video analytics for loss prevention and customer behavior analysis
- Security and surveillance with local inference to reduce cloud latency and bandwidth
- Traffic and public‑safety monitoring with edge deployment of vision models
- Rapid prototyping of vision applications using Test Utility before device rollout