Video production for complex software products

Technical videos for your product.

Polished videos for products that are too complex for Loom and too technical for generic agencies.

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Clyep is pronounced "clip"

Built by a team with deep expertise in technical education and a community of 100,000+ practitioners.

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See what we produce.

Diffusion Language Models Explained: The Shift to Parallel Generation

Production notes

  • Image denoising to token masking translation
  • Confidence-based parallel decoding walkthrough
  • GPU utilization comparison: sequential bursts vs saturated parallel passes
  • Sequence-length scaling animation: 512 passes vs 64 denoising steps
  • Side-by-side tokens-per-second race
Explainer

Diffusion Language Models Explained: The Shift to Parallel Generation

Why every LLM writes one token at a time, and how diffusion models denoise whole responses in parallel to reach over 1,000 tokens per second.

5:42 Software Engineers Intermediate
Forward Deployed Engineering: What It Is, What It Isn't, and When It Matters

Production notes

  • Three-role comparison diagram: software, implementation, and product
  • Adoption gap visualization with the capability-to-value flip
  • Margin profile comparison: product vs consulting economics
  • Productization loop animation from field back to core product
  • Four-condition checklist build-up
Industry Insights Explainer

Forward Deployed Engineering: What It Is, What It Isn't, and When It Matters

What forward deployed engineers actually do, why the role is exploding in the AI era, and the four conditions a company must meet before standing one up.

7:38 Technical Leadership All levels
KV Cache and RadixAttention: How LLM Servers Avoid Redundant Computation

Production notes

  • Token-by-token recomputation triangle animation
  • Quadratic-to-linear staircase collapse visualization
  • Cross-request redundancy at 10, 100, and 1,000 concurrent requests
  • RadixAttention prefix tree build-up with branch-and-reuse walkthroughs
  • Same GPU, same model speed comparison
Explainer

KV Cache and RadixAttention: How LLM Servers Avoid Redundant Computation

How the KV cache turns quadratic recomputation into linear work, and how RadixAttention shares cached prefixes across thousands of concurrent requests.

4:24 ML Engineers Intermediate
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Who it’s for

Built for teams that explain complex things.

Product & Marketing

Polished product demos without pulling engineers into production.

Every product change breaks a screen recording. Clyep produces demos from designed visuals, so when the UI changes, we update only the affected scenes. No re-recording, no agency brief, no weeks of turnaround.

  • Launch and feature videos that look professional
  • Feature explainers with UI mockups, not recordings
  • Scene-level updates when the product ships
See all solutions
The content

What our videos are made of.

Built from animated technical artifacts, brought to life with narration and motion. A single video can blend several scene types.

Client API GW Auth Service A Service B
Architecture & Process Diagrams

System flows, microservice maps, and sequence diagrams, animated step by step as narration guides the viewer through each component.

100 75 50 25 Q1 Q2 Q3 Q4 Q5 Q6 Q7 +18%
Data Visualizations

Charts, tables, and analysis results revealed in sync with narration. Ideal for benchmarks, model comparisons, and performance metrics.

search.py 1 2 3 4 5 # embed and retrieve def semantic_search(query, k=5): vec = embed(query) results = index.search(vec, k) return [doc(r) for r in results] ✓ 3 results in 12ms
Code & Terminal Walkthroughs

Syntax-highlighted code, Jupyter notebook execution, and terminal output, revealed line by line at the pace of the explanation.

app.example.com/dashboard Dashboard 1
Web App Interactions & Demos

Step-by-step UI walkthroughs with callouts, zoom, and highlights. Polished, precise motion instead of shaky screen recordings.

ATTENTION MECHANISM Q K V attn out
Interactive Simulations & Concept Explainers

Visual explanations of deep technical concepts: how attention works, how a distributed system fails. Built from scratch, not stock footage.

Creative control

What you control.

Every dimension of the video is yours to direct. We execute with precision.

Content & Formats

Code, diagrams, UI, terminal, and data viz. Overview to deep dive, all in one video.

Code
Diagram
UI
Terminal
Data
OverviewDeep dive

Brand & Design

Your colors, fonts, logo, and layout. Horizontal, vertical, or square. Every frame on-brand.

AaInter / JetBrains Mono
LOGO 16:9 9:16 1:1

Voice & Narration

Choice of voice style, pacing, and accent. Precisely timed to every visual.

Style
ConversationalAuthoritativeInstructional
Pacing
Slow
Fast
Accent
USUKAUNeutral

Language & Captions

Multilingual narration, on-screen text, and captions from the same source.

EN“When the request fails…”
DE“Wenn die Anfrage fehlschlägt…”
JA「リクエストが失敗した場合…」
ES“Cuando la solicitud falla…”
CC Captions included
The process

How we work.

From a rough brief to a finished, published video in days. When your product changes, we update, not rebuild.

01

Brief

Tell us what to explain, who it’s for, and where it lives.

02

Script & Design

We develop the narrative and visual approach. You review and approve.

03

Production

Code, diagrams, UI, narration, and motion, all produced to spec.

04

Review & Refine

You give feedback. We revise targeted elements until it's right.

05

Delivery

Final files delivered, ready to publish.

Most projects deliver in 5-10 business days. When your product ships an update, we update only the affected scenes, not the whole video.

Quality

Quality that’s measured, not assumed.

Every video is automatically scored against a structured engagement rubric before a human ever reviews it. We don’t guess what works. We measure it.

quality-rubric.assess
Analyzing
Visual RhythmAction density, scene pacing, and visual stasis. Nothing stays static too long.
—
Audio ClaritySpeaking rate, pitch continuity, dead air, and narration flow.
—
Structural EngagementHook timing, setup length, insight delivery, and closing strength.
—
AccessibilityMobile-legible typography, color contrast, and text density.
—
Overall Score—

Every video is optimized against this rubric, then reviewed by a human before delivery. No exceptions.

Common questions

Still have questions?

What do I need to provide?

A rough outline, existing docs, a feature list, or even a Loom recording. We handle scripting and visual design. The less polished your input, the more value we add.

Do I need to record myself or shoot raw video?

No camera required. You provide a brief, existing docs, or technical artifacts. We handle scripting, visual design, animation, narration, and production. You review and approve at key stages.

Are your videos made by AI?

They're human-directed, AI-executed. A human subject-matter expert shapes every narrative, makes editorial decisions, and ensures technical accuracy. AI handles the precision work: voice synthesis, motion graphics, and frame-level synchronization. The creativity and judgment are human. The consistency and execution are AI. That's how we deliver studio-quality technical videos in days without sacrificing depth.

Is the narration AI-generated?

Yes, and that's a deliberate choice. We use state-of-the-art AI voice synthesis that produces natural-sounding speech. The script, pacing, and emphasis are all human-directed. AI gives us consistency and quality at scale; our team gives it judgment. Hear examples on our Examples page.

Do you use AI avatars or talking heads?

No. We deliberately avoid synthetic human faces. The uncanny valley effect undermines credibility with technical audiences. Our videos are visual and narrated: the content is on screen, no presenter in the frame.

How long does production take?

Most projects go from brief to delivery in 5 to 10 business days depending on scope. Content series take 2 to 3 weeks. Retainer clients get priority turnaround.

Is this a tool I sign up for, or a service?

Clyep is a managed production service. You send a brief, we produce the video. AI powers the pipeline; humans direct every project. Nothing ships without human sign-off.

What if my product changes after delivery?

We update the specific parts that changed and re-produce. Because the system is modular, a script change doesn't mean re-shooting everything. It takes a fraction of the time and budget of starting over.

How is this different from Loom, a video agency, or an AI video tool?

Loom captures what's on screen but depends on a live performance and looks like a screen recording. Agencies produce polished video but rarely understand technical products deeply enough. AI tools generate generic output that technical audiences see through. Clyep combines production quality with real technical fluency.

Ready when you are.

Your product is hard to explain. The video shouldn't be hard to make.

Get Started → See examples first