Customer story / Microlearning / Online learning
Knovo needed AI search across a microlearning catalog and a recommendation engine on top of playback analytics. They picked FastPix and shipped in six weeks.
TRUSTED BY PRODUCT TEAMS SHIPPING VIDEO AT SCALE
“FastPix gave us the AI features and the playback infrastructure in one platform. Six weeks from contract to live with our entire microlearning catalog plus the AI search overlay.”
Anonymous
Engineering Lead, Knovo
Security, compliance, and partnerships
Challenge
01
AI search
Microlearning catalog needed natural-language search that worked across spoken content.
02
Recommendations
Recommendation engine had to lean on per-session playback signals, not just catalog metadata.
03
Speed
Six-week shipping window left no room for an in-house ML pipeline.
Solution
Every video moment indexed across speech, visuals, and text. Natural-language query resolves to the exact second.
AI Search →Speakers, topics, organizations extracted per video and surfaced as filter facets in the catalog.
Named Entity Recognition →Per-learner watch-completion as the input signal for the recommendation engine.
Video Data →Per-title encoding for the entire microlearning catalog; multi-CDN delivery globally.
Video on Demand →Integration pattern
// Index the catalog: speech + visuals + text per video
const asset = await fp.assets.create({
inputs: [{ url: lectureSourceUrl }],
inVideoAI: {
multimodalIndexing: true,
namedEntityRecognition: true,
videoSummary: true,
},
metadata: {
course_id: course.id,
topic: course.topic,
},
});
// Query: "the part where she explains transfer learning"
const hits = await fp.aiSearch.query({
query: "the part where she explains transfer learning",
catalogId: "microlearning-v1",
});More patterns in /developers and the language-specific SDK guides.
Outcomes
01
Six-week ship
AI-native microlearning live in six weeks.
02
Managed AI
Search and recommendations powered by FastPix without building an in-house ML stack.
03
Product focus
Engineering team shipped the learner UX; FastPix handled the AI pipeline.
Similar customer stories
“What was also great about the FastPix team is it felt like we were all working together. They felt like part of our team, not just vendors. They were with us every step of the way, from brainstorming to execution. That has been great.”
Kaushik Das
Founder & CEO at AaoNXT
“We considered our options and decided on FastPix because: very fast uploads and delivery; having more of the infrastructure and features we needed, including the in-built deep analytics and web and mobile player, in one place, as opposed to say AWS or Kaltura, reduced the complexity for us.”
Prabhakar P
Head of Digital, Knovo
“FastPix with their 10+ video products in one API platform felt like a good fit for our needs. Every step of the rollout was deliberate. We tested, we measured, and we made sure the experience was up to our standard before we expanded.”
Technical Director at Aadhan
“There were a lot of challenges using video. FastPix was refreshingly simple after attempting to build our own thing while trying with AWS. Our product's value, engagement, stickiness, and experience have all increased.”
Rajath Rao
Technical Director at Sclera
“Seeing it all come alive — workflows as per our vision and UX, with our brand colors, in a manner reflective of our community.”
Sivaprakash S
UX Lead for RLTV at Rocketlane
“What was also great about the FastPix team is it felt like we were all working together. They felt like part of our team, not just vendors. They were with us every step of the way, from brainstorming to execution. That has been great.”
Kaushik Das
Founder & CEO at AaoNXT
“We considered our options and decided on FastPix because: very fast uploads and delivery; having more of the infrastructure and features we needed, including the in-built deep analytics and web and mobile player, in one place, as opposed to say AWS or Kaltura, reduced the complexity for us.”
Prabhakar P
Head of Digital, Knovo
“FastPix with their 10+ video products in one API platform felt like a good fit for our needs. Every step of the rollout was deliberate. We tested, we measured, and we made sure the experience was up to our standard before we expanded.”
Technical Director at Aadhan
“There were a lot of challenges using video. FastPix was refreshingly simple after attempting to build our own thing while trying with AWS. Our product's value, engagement, stickiness, and experience have all increased.”
Rajath Rao
Technical Director at Sclera
“Seeing it all come alive — workflows as per our vision and UX, with our brand colors, in a manner reflective of our community.”
Sivaprakash S
UX Lead for RLTV at Rocketlane
FAQ
FastPix powers Knovo’s video infrastructure across microlearning / online learning. The specific FastPix capabilities Knovo uses are listed in the Solution section above; each links to the product or feature page.
FastPix bills per minute of encoding, storage, and streaming, plus a Starter plan at $10/mo with $25 in monthly usage credit. See /pricing for the canonical rates.
Customer ship windows vary by scope. Most teams move from contract to live in a few weeks for greenfield builds and a few months for migrations off other video infrastructure. Each FastPix customer story above lists their specific timeline where shareable.
FastPix has an active Slack community where engineering teams from customer companies discuss patterns, share code, and answer each other’s integration questions.
three ways to get unstuck
I'll do it myself
Read the docs
Every endpoint, every parameter, every response. Self-serve from quick-start to production.
Browse the docs →Show me how it's done
Follow a guide
Step-by-step tutorials and reference apps for VOD, live, and in-video AI builds.
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Join the Slack community
Talk to FastPix engineers and customer teams shipping on the same patterns as you.
Join Slack →Where this connects
