Integrations

Mux

Turn every Mux video into a searchable, intelligent asset

Sync videos from Mux into Mixpeek for automatic multimodal extraction: scene understanding, object detection, face identity, OCR, and transcription. Build visual search retrievers that let users find the exact frame, scene, or spoken word across your entire video library.

• 95% Less manual review
• 0 Manual indexing steps
• 40-60% Lower processing costs

Backblaze B2

S3-compatible AI pipelines at 1/5th the storage cost

Connect Backblaze B2 buckets to Mixpeek for automatic multimodal extraction at a fraction of AWS S3 prices. Store your videos, images, and documents in B2, run feature extractors and embeddings through Mixpeek, and write indexed results back to B2: with zero egress fees through Bandwidth Alliance partners.

• 75% Lower storage costs
• $0 Egress fees
• 0 Code changes required

Iconik

Set-and-forget media intelligence for your entire Iconik library

Connect Iconik to Mixpeek and every asset in your DAM becomes searchable by what's inside it: scenes, faces, objects, spoken words, and on-screen text. Sync runs continuously in the background. New uploads are indexed automatically. Deleted assets are cleaned up. No manual tagging, no maintenance.

• Find the exact shot without scrubbing
• Verify talent and brand usage across libraries
• Unlock assets that were buried and forgotten

Together AI

Generate embeddings with Together AI's open-source models and upsert directly to MVS

Generate embeddings with 50+ open-source models hosted on Together AI (BGE, Llama, Mistral, and more) then upsert directly to MVS. No GPUs to manage. Swap models by changing one parameter. Go from text to searchable vectors in three API calls.

• $0 GPU infrastructure cost
• 50+ Open-source models available
• <5 min Time to first search

Fireworks AI

Sub-10ms embedding inference with Fireworks AI, stored and searched in MVS

Sub-10ms embedding generation on Fireworks AI's optimized infrastructure, paired with MVS's sub-50ms vector search. The full query path (embed, search, return ranked results) completes in under 100ms. Serverless scaling from zero to burst, pay-per-use.

• <10ms Embedding latency
• <100ms End-to-end query time
• 0 Cold starts

AWS Bedrock

Use Amazon Titan or Cohere embeddings via Bedrock with MVS for enterprise vector search

Generate embeddings inside your AWS account via Bedrock: Amazon Titan, Cohere Embed, or any supported model. IAM controls access, VPC endpoints keep traffic private, CloudTrail logs every call. MVS adds vector storage, indexing, and retrieval on top.

• 100% AWS-native security
• SOC2/HIPAA Compliance ready
• 3+ Embedding providers