SaliencyLab offers a pre‑spend creative intelligence platform that analyzes uploaded video or image ads in about 90 seconds, extracting visual, audio, and brand signals and scoring them against a benchmark of over 1,200 real ads. The tool provides KPI scores, attention heatmaps, and AI‑generated recommendations—including synthetic buyer interviews and automated brief creation—to help marketers validate and optimize creative before media spend.
Funding
Funding not disclosed
Founders
Product
Problem
Marketing teams often launch video and image ads without objective data on how the creative will perform, relying on gut feel or costly post‑spend testing that can waste budget if the ad fails to capture attention or drive clicks.
Solution
SaliencyLab provides a pre‑spend creative intelligence platform that evaluates an uploaded ad in under 90 seconds. The system extracts visual saliency, audio hooks, brand prominence, and other multimodal signals, then maps these to 43 attributes per scene. These raw signals are rolled up into 12 sub‑KPIs and five core performance indicators—Beat the Skip, Get Noticed, Brand Impact, Sell Proposition, and Build Brand—each benchmarked against a dataset of over 1,200 real ads. Users receive a scored verdict, a visual attention timeline, and actionable recommendations on timing, hook placement, and brand visibility. Optional BuyerLens synthetic interviews and the Hugo AI agent extend the workflow with buyer‑simulated feedback and automated brief generation, all without requiring a consumer panel or integration effort.
Target Audience
Primary users are brand and performance marketers, media planners, and creative teams at consumer‑focused companies who need to validate ads before committing media spend.
Features
- Upload any video or image (MP4, MOV, JPG, PNG) up to 60 seconds; analysis completes in ~90 seconds
- Multimodal AI pipeline (visual saliency, speech‑to‑text, audio hook detection) producing 43 scene‑level attributes
- Scoring against a benchmark pool of 1,200+ ads with platform‑ and category‑specific percentiles
- Five KPI scores plus a weighted composite, each decomposed into raw signals and sub‑KPIs for traceable diagnostics
- Visual attention heatmap and timestamped evidence linking scores to specific creative moments
- BuyerLens synthetic‑panel interviews that explain weak KPI scores using AI‑generated buyer personas
- Hugo autonomous agent that runs the full upload‑score‑interview‑brief workflow from a conversational interface
- API access, custom benchmark pools, and team collaboration features in Enterprise plans