Brief before generation
Creative intent and success criteria are agreed before production begins.
Our approach
Clear direction.
Room to discover.
Explore. Create. Refine. A clear decision at every stage.
Find your production fit
Your story.
The right tools.
Not sure which AI video model to choose? Explore the options, then let your brief guide the decision.
Catalog scope: models listed by Magnific, including specialist motion and talking-image tools. Availability depends on the platform and plan.
View the provider’s current catalog ↗Start with your project
What does your scene need?
Dialogue and ambience? Explore Veo or Kling. A reference-led story? Explore Seedance. A recorded performance? Look at Motion Control or Act Two. An illustrated image that should move? Try Live Illustrations.
These are starting points for a test shot, not a ranking. We select the final workflow around your style, continuity requirements, budget and deadline.
Best-use suggestions are Adrilyn’s editorial guidance based on published capabilities, not comparative benchmarks. A model generates shots; direction, editing, sound and quality checks turn them into a finished film. Credits, retries and finishing all affect the final quote.
Let us help choose your production workflow ↗The production pipeline
From first spark
to final frame.
Ten stages, with scope and reviews agreed around your brief.
AI-generated concept illustration.
- 01
Discovery
Objectives, audience, platform, references, deliverables, budget and timeline.
- 02
Creative direction
Concept routes, narrative approach, style, tone and visual strategy.
- 03
Script and storyboard
Script, shot list, storyboard and animatic where required.
- 04
Look development
Characters, environments, keyframes, styleframes and reference packs.
- 05
Model routing
The right video, image and audio tools for each shot and quality class.
- 06
Generation and animation
Controlled production, iteration, version tracking and shot approvals.
- 07
Audio production
Narration, original music, sound effects and atmosphere built to the edit.
- 08
Edit and finishing
Assembly, timing, sound mix, grading polish, upscaling and mastering.
- 09
QC and client review
Continuity, visual artefacts, brand accuracy, technical specifications and revisions.
- 10
Delivery and archive
Final exports, platform variants, agreed source assets and project archive.
Human-led. AI-assisted.
The tool is part of the process.
Not the creative brief.
AI can help explore possibilities and produce visual material. It does not replace the need for a clear idea, thoughtful direction or careful review.
We discuss the intended use of assets, references and any brand restrictions at the start. Timelines and review rounds are defined around the actual project, not a one-size-fits-all promise.
Production principles
A clear decision at every stage
Previsualise before premium render
Stills and draft motion prove composition and movement first.
Premium where it shows
Hero shots use premium models; routine shots do not carry premium cost.
Lock references early
Characters, products and environments are fixed early to keep them consistent.
Our fixes, your changes
Technical flaws are corrected at no cost; changes to approved creative are scope revisions.
Documented approvals
Decisions, versions and scope changes are recorded so production stays under control.
Quality assurance
Every output passes structured checks
Characters and people, worlds and objects, motion, brand accuracy, audio and technical delivery are checked against a written standard before you see a single frame.
You choose a quality class: Efficient, Studio, Cinema or Flagship. We choose the right tool for each shot by output quality, commercial terms and cost.
The business case for AI assistance
More room for ideas.
Measure the value in the work.
For an independent team, AI assistance can make early exploration more accessible. For a large studio, it can help selected tasks move through an established pipeline. The meaningful comparison is the same brief, the same delivery standard and the full cost of getting there.
Higher hourly productivity
A study of 5,172 support agents found a 15% average increase in issues resolved per hour with AI assistance. This measures a support workflow, not animation output.
Brynjolfsson, Li & Raymond · revised 2024 ↗Faster task completion
A 2023 field experiment reported faster completion on consulting tasks within AI’s capabilities. This is evidence for task-level potential, not a forecast for film delivery.
Dell’Acqua et al. · 2023 working paper ↗Prove the gain on your brief
Neither result establishes an animation cost-saving rate. Run a comparable pilot, count rejected generations and artist cleanup, and retain the workflow only if approved output improves.
Discuss a production pilot ↗Small & independent studios
Explore before committing.
Potential applications include pitch visuals, alternative treatments, rough storyboards and temporary voice tracks. Measure time to an approved concept, cost per approved asset and how many usable directions fit the development budget.
Large & established studios
Improve a specific stage.
Potential applications include previs exploration, assisted cleanup, asset search and localisation drafts. Measure throughput, review queues and integration costs. Preserve artist control, continuity checks and production approvals.
| Production KPI | Conventional baseline | AI-assisted comparison |
|---|---|---|
| Cost per approved second | Total production spend ÷ approved final seconds | Include tools, generation retries, artists, sound, review and cleanup in the same calculation. |
| Time to approval | Elapsed days from brief to approved delivery | Count generation, queue time, revisions and sign-off—not just render time. |
| Creative exploration | Usable concepts reviewed per development hour | Count distinct, brief-compliant concepts; exclude duplicates and unusable drafts. |
| Throughput | Approved shots per artist-week | Use comparable shot complexity, resolution and review criteria. |
| First-pass acceptance | Shots approved on first review ÷ shots reviewed | Check whether faster generation increases correction work or continuity errors. |
| Versioning & localisation | Cost and hours per approved language or format | Include translation, performance, lip-sync, layout and human review. |
| Production readiness | Assets passing agreed technical and usage checks | Apply the same checks to AI-assisted output; track failures and remediation time. |
Illustrative scenario · not a quote or measured result
What would a 20% net saving actually require?
Assume a conventional task takes 100 hours at ₹1,000/hour: ₹1,00,000. An AI-assisted version takes 70 hours including review and cleanup, plus ₹10,000 in incremental tool and generation costs: ₹80,000.
₹20,000
Illustrative net cost reduction: 20%.
Labour time falls 30%, but cost falls 20%. Another 20 cleanup hours would erase the saving entirely. Released staff time becomes capacity; it is not automatically a cash saving.
Suggested pilot: compare matched shots against the same brief and quality criteria. Record labour, tool spend, retries, approval time and final usable output. Agree success thresholds before starting. These are proposed measures, not Adrilyn client results; no independently verified Adrilyn production benchmark is presented here. Research reviewed 20 September 2026.
Dreams into motion
Let’s make
something move.
Bring the idea. We’ll build the next step together.