GeneralistFRONTIER / API
Cost / accepted
€0.28
Specialist video models for repeatable work
Turn repetition into an advantage.
Kinefold builds specialist generative video models for repeated workflows—so every accepted asset costs less, arrives faster and stays true to the subject.
01
Fewer retries
Make the first useful result the norm.
02
Less wasted compute
Spend GPU time on work you can ship.
03
A model for your workflow
Measured against the result you need.
01 / THESIS
The gap between a demo and a business
Generative video is impressive. Production is unforgiving.
General video models can create almost anything. But repeatable production needs something different: the same product, the same identity and the same movement—again and again, without a lottery of retries.
Kinefold converts a recurring video workflow into a model built around that exact job. The result is not another endpoint. It is a production capability you can measure, deploy and continuously improve.
Unused capability74%
First-take acceptance42%
Cost per accepted1.82×
The world does not need one model to generate everything. It needs the right model for every job that repeats.
02 / ECONOMICS
The metric that matters
Cheap attempts can produce expensive results.
Price per second hides retries, review and rejection. Kinefold ranks valid models by total cost per accepted asset—not by the price of the first MP4.
Caccepted
=
inference + QA per attempt
probability of acceptance
VS
Kinefold specialistCHAMPION / 01
Cost / accepted
€0.15
Expected saving per accepted asset
47%
03 / THE PRODUCT
Your repeated task becomes an asset
From workflow to specialist model.
Bring the work you repeat, the outputs you accept and the failures you reject. Kinefold turns that operating reality into a model designed around your economics.
Map the repetition
Inputs, constraints, accepted work, failure patterns, volume and SLA become one precise task.
Search beyond one team
Different data, architectures and compression strategies compete to solve the same job.
Prove it on unseen work
Hidden products, identities and conditions reveal whether the improvement is real.
Deploy the useful model
Receive the artifact, inference profile, benchmark and cost curve needed for production.
UNDER THE HOOD
A decentralized research market explores the solution space; controlled evaluation turns that competition into one deployable result.
04 / WHAT CHANGES
From creative lottery to operating system
Video generation that behaves like production.
Consistency you can plan around.
Preserve products, characters and brand details across motion—without generating a pile of alternatives just to find one usable clip.
- Identity preservation
- Controlled movement
- Stable temporal output
- Fewer manual fixes
More useful work from every GPU.
Reduce steps, retries, latency and oversized infrastructure. Compute is spent on accepted assets instead of discarded attempts.
- Lower cost per asset
- Accessible hardware
- Shorter queues
- Lower energy waste
A capability your business can own.
A versioned model, its deployment profile and its limits—not a black-box promise that changes behind someone else's API.
- Reproducible artifact
- Clear provenance
- Known limitations
- Continuous improvement
05 / GENESIS CHALLENGE
PROPOSED / 01
PRODUCT ARC—8
A small move.
A hard benchmark.
Turn one product image into a four-second camera arc—without changing the product. The task is instantly legible, objectively measurable and commercially real.
INPUT / I2V1280×720 / 24FPS
SUBJECT / FIXEDCAMERA / +0.0°
INTERACTIVE TASK SPEC
Move the camera.
Move the camera.
Keep everything else.
Drag through the permitted arc. The subject's shape, colour, text, background and object count must survive every frame.
−8°+8°
ModalityIMAGE → VIDEO
Duration04 SEC
Hardware24 GB GPU
Primary metricC / ACCEPTED
Reality check
The generative champion must also beat a deterministic 2.5D / depth-warping baseline. Kinefold follows value—not technique.
06 / THE VISION
Make precise motion abundant
A specialist layer for the world's repeated video.
Every repeated visual task can become its own efficient capability—making high-quality motion accessible to more products, teams and ideas.
Every product can move
Turn catalogues into consistent motion without a shoot for every SKU.
Characters that stay themselves
Preserve people, mascots and IP through repeatable branded motion.
Production beyond giant clusters
Move valuable workflows onto hardware smaller teams can actually operate.
Compute with a destination
Replace brute-force retries with models shaped around accepted outcomes.
A living catalogue of skills
Route each repeated task to a specialist—and everything novel to the frontier.
One workload at a time
Build less general.
Deliver more useful.
Show us the video task you repeat, what success looks like and what failure costs. Kinefold turns it into a measurable specialist capability.