Understand Why Users Engage—Not Just What They Type
Mixpeek turns text, images, video, audio, and PDFs into real-time intent and retrieval signals you can activate across search, ads, and targeting—without shipping your data to a third-party cloud.
The Mixpeek Difference
Privacy-first contextual targeting that performs without cookies
Multimodal by Design
One pipeline for text, images, video, audio, PDFs—understand context across all content types.
Own Your Data Plane
Plug into S3 and your vector DB (Qdrant, pgvector, Supabase). Your data never leaves your control.
Better Relevance, Fewer Hacks
Hybrid retrieval + late-interaction models for fine-grained contextual matches.
API-First & Fast to Ship
Simple SDKs + webhooks to light up contextual targeting, search & recommendations.
How It Works
Three simple steps to activate multimodal contextual targeting
Ingest
Point Mixpeek at S3 or upload any file; we auto-detect content and queue extraction.
Enrich
Generate embeddings, transcripts, OCR, scene descriptors; store features in your DB.
Activate
Query with natural language or structured filters; return ranked items, timecodes, patches.
Activate Contextual Intelligence Everywhere
From precision ad placement to content safety and semantic discovery
Precision Ad Placement
Understand context beyond keywords—analyze images, video content, and audio to place ads in brand-safe, highly relevant environments.
- 70% increase in relevance across all media types
- Reduce wasted ad spend on misaligned placements
- Discover contextual opportunities competitors miss
Content Safety & Brand Protection
Analyze content at scale to ensure brand-safe placements. Route ads away from risky content before it impacts your brand.
- Real-time content analysis across modalities
- Custom safety policies for your brand values
- Prevent issues before ads are placed
Semantic Content Discovery
Enable users to find exactly what they're looking for—even when they don't know the exact words. Search finds frames in video, tables in PDFs, moments in audio.
- Single search box across all content types
- Intent-based matching beyond keywords
- Reduced null results, faster time-to-answer
AI Agents with Real Context
Ground your LLMs in precise content segments (pages, frames, clips) instead of whole files for accurate, citation-backed responses.
- RAG with receipts—precise segment retrieval
- Reduce hallucinations with grounded context
- Timecode & page-level citations
Powered by Industry-Standard Taxonomies
Organize and classify content using standardized taxonomies like IAB Content Taxonomy 3.0 for scalable, consistent contextual targeting
IAB Content Taxonomy 3.0
Automatically classify content using the industry-standard IAB taxonomy. Ensure consistency across your campaigns and align with the entire programmatic ecosystem.
- 700+ categories for precise classification
- Automatic migration from IAB 2.x to 3.0
- Industry-wide compatibility
Why Taxonomies Are Essential for Contextual Targeting
Consistency
Standardized categories ensure consistent classification across all your content and campaigns
Scale
Automate content classification at scale without manual tagging or intervention
Brand Safety
Categorize content for brand safety and suitability scoring based on your guidelines
Context Without Cookies, Insight Without Uploads
Like the best contextual ad platforms, but for your own multimodal data
Traditional Contextual Ad Tech
- ✗Limited to publisher networks
- ✗Black-box algorithms
- ✗No control over data or models
- ✗Primarily text & metadata-based
Mixpeek Multimodal Intelligence
- ✓Works on your internal content & data
- ✓Transparent, explainable retrieval
- ✓Your cloud, your models, your rules
- ✓Text + images + video + audio + PDFs
Your buckets. Your VPC. Your vector DB.
We process and return features; you own storage & keys.
Prebid.js Connector
Seamlessly pass contextual signals from Mixpeek directly into Prebid auctions as first-party data
Pass IAB categories, sentiment, and content features to bidders
Enhance bid requests without third-party cookies
Better targeting data = more competitive bids
// Add Mixpeek module to Prebidpbjs.addModule('mixpeek', {apiKey: 'your-api-key',features: ['iab', 'sentiment']});// Contextual data automatically// enriches bid requestspbjs.requestBids({// Your standard configadUnits: adUnits,bidsBackHandler: initAdserver});
Built for Performance & Privacy
Late-Interaction Retrieval
Fine-grained matching at the token level—not just document similarity. Get precise relevance for complex queries.
Read the deep-diveBYO Vector Database
Works with Qdrant, pgvector, Supabase Vector. Store embeddings where you want, with the access controls you need.
View integrationsS3 Direct Integration
Point Mixpeek at your S3 buckets. We process files in-place or in your VPC—no data leaves your control.
See docsFrequently Asked Questions
Can we keep data in our own cloud?
Yes—connect S3 directly; store vectors/metadata in your DB. Mixpeek processes content but you maintain full control over storage and access.
Which databases are commonly used?
Qdrant, pgvector, and Supabase Vector are the most popular. Production patterns and examples are documented in our integration guides.
Do you handle video deeply?
Yes—chunking, scene descriptors, embeddings, timecode search. You can search for moments within videos and get frame-level results with timestamps.
How is this better than "just text search"?
Late-interaction + multimodal embeddings surface relevance in images, video, and audio that text-only search misses. You get context-aware results across all media types from a single query.
What makes Mixpeek different from contextual ad platforms like Seedtag?
While platforms like Seedtag analyze publisher content for ad placement, Mixpeek gives you the same contextual intelligence capabilities for your own data—whether that's product catalogs, support content, internal media, or customer UGC. You own the infrastructure, models, and results.
Proven in Production
Real results from teams using Mixpeek for contextual intelligence
Across all media types compared to keyword-only targeting
Fewer wasted impressions on irrelevant or unsafe content
Users find relevant content across modalities in seconds
Leading DSP Improves Contextual Targeting Accuracy by 40%
A major demand-side platform integrated Mixpeek's multimodal contextual analysis to better understand publisher content beyond keywords. By analyzing images, video, and text together, they reduced mismatched ad placements by 60% and improved campaign performance by 40% across their network.