Generative 3D is exploding — Luma, Meshy, CSM. Zero infrastructure exists to verify what's real.
HelioStack App
SplatChain
The trust layer for 3D. Prove every capture is real, own its chain of custody, and verify authenticity on-chain. Now live on Base mainnet.
<2sTarget verification experience
BaseOn-chain registry direction
3Core proof layers
MITOpen-source license
Studios, platforms, archives, and enterprise review workflows that need proof of authenticity.
Start with Gaussian Splats, expand into adjacent 3D and media provenance workflows.
Why it matters
Trust for synthetic-era 3D content needs better product infrastructure.
As generated splats become harder to distinguish from real-world capture, provenance stops being a nice-to-have. SplatChain is being shaped as a trust layer that fits real production workflows instead of living as a buried technical afterthought.
Capture authenticity
Start provenance at the source with signed capture fingerprints tied to raw inputs before model generation.
Model traceability
Bind trained splat outputs back to their originating input hash so downstream teams can verify lineage fast.
Portable verification
Combine signatures, sidecar data, and Base-compatible on-chain records for practical trust across tools and viewers.
Investment case
A trust wedge with room to grow into workflow infrastructure.
SplatChain sits at the intersection of authenticity, workflow, and distribution. The product can begin as a narrow provenance layer and expand outward into the systems that need verification to operate with confidence.
Clear market wedge
SplatChain starts where risk is highest: proving whether a 3D asset came from authentic capture or synthetic generation.
Trust as infrastructure
Not just a badge — a verification layer that can sit inside capture workflows, viewers, archives, and marketplaces.
Monetization path
Verification, registry access, workflow tooling, and enterprise provenance controls create multiple ways to price value over time.
Platform expansion
The same trust model extends beyond Gaussian Splats into adjacent 3D, spatial, and media authenticity workflows.
Traction & Roadmap
Shipped on Sepolia. Deployed on Base mainnet.
SplatChain has working infrastructure — contract deployed on Base mainnet, SDK live, cryptographic pipeline operational, and a live demo. Here's what's done and what's next.
Sepolia contract deployed
Python SDK on PyPI (splatchain)
Ed25519 signing + deterministic hashing
NFT provenance layer v0.2
Base mainnet deployed & verified ✅
PlayCanvas viewer with verification UX
Pilot studio partnerships
How it works
A cleaner chain of custody from sensor input to verified asset.
01
Capture attestation
Raw photos, depth maps, GPS, and sensor files are hashed into a signed capture record before training begins.
02
Training receipt
The trained .ply or .splat output is hashed and cryptographically bound to the original capture fingerprint.
03
Registry verification
Input and model hashes are anchored to Base-compatible infrastructure so provenance can be checked later in seconds.
04
Viewer trust layer
Badges, sidecars, and verification UX make provenance visible where teams actually review and distribute assets.
Use cases
Built for teams that need proof, polish, and operational trust.
The product direction is strongest anywhere authenticity matters after export: field capture, studio pipelines, enterprise review, publishing, and long-tail 3D asset distribution.
Studios proving field-captured 3D content is authentic
Archives and documentation teams protecting chain of custody
Viewer and marketplace experiences with verification badges
Enterprise review pipelines detecting tampered or re-exported splats
Next step
Follow the build or start the conversation.
SplatChain is an in-development HelioStack project focused on bringing premium trust signals to 3D provenance workflows. Interested in investing, piloting, or integrating? Reach out.