Insights, tutorials, and updates from the Echosaw team.
We built five test benches for AI media tools, entered Echosaw in two, and published everything - harness, inputs, scoring code, and results. The bench put us first in both - and the tables still gave us a to-do list.
Echosaw's education vertical is live: turn your own lectures, board photos, and links into study packets with FSRS spaced review — and run them as a class with configurable tests and per-concept roster mastery.
Why the unreliability of general AI isn't our problem to solve — it's the market we were built for.
We completed a full redesign from AWS Cloudscape to shadcn/ui with Tailwind CSS. Here's why we made the change, the challenges we faced, and what we achieved.
Echosaw's media analysis pipeline is built on AWS Step Functions with ECS Fargate tasks. Learn how we orchestrate the probe, reduce, and report workflow at scale.
Semantic search powers Echosaw's media intelligence. This post dives into our vector search architecture, distance-based filtering, and the trade-offs between recall and precision.
Echosaw's MCP server brings media intelligence into your AI-assisted workflow. Learn about the remote server architecture, OAuth authentication, available tools, and configuration.
Organizations enable teams to collaborate on media intelligence with shared libraries, role-based access control, and consolidated billing.
The Echosaw REST API provides programmatic access to our media intelligence platform. This guide covers authentication, rate limits, core endpoints, and common integration patterns.
Comparing tools? Our curated lists rank speech-to-text APIs, embedding models, and media intelligence platforms with published measurements.
Trusted at scale to extract semantic insights, build intelligent timelines, deliver accurate transcripts, analyze audio and visual content, and generate synthetic media — with full control and security. Start with our Starter plan for $9/month — usage-based pricing so you only pay for what you analyze.