Computational Storage Engine
Encoding, decoding, ECC, fountain coding, and verification — the core DNA Vault Engine.
About DNA Vault
The Software Stack for DNA Data
DNA Vault builds computational infrastructure for storing, simulating, validating, and recovering digital information using DNA-based information storage techniques.
Mission
Build the computational infrastructure required for the transition from conventional digital storage toward molecular information systems.
Vision
A future where biological molecules become part of the world's information infrastructure.
What we build
Simulation Infrastructure
Sequencing error models with substitution, indel, dropout, and coverage parameters.
Benchmarking Systems
Comparative configuration experiments for density, redundancy, and recovery analysis.
Developer APIs
Programmatic access to encode, decode, simulate, verify, and experiment workflows.
Research Tools
DNA Vault Studio, Observatory metrics, experiment manifests, and CLI tools.
What we don't claim yet
DNA Vault currently focuses on computational DNA information storage. We are transparent about the boundaries of what the platform does and does not do.
We do not claim physical DNA synthesis, oligo ordering, or wet-lab storage has been performed through this platform.
We do not claim integration with sequencing instruments or measured biological durability.
We do not claim enterprise-scale physical storage or guaranteed long-term biological retention.
Physical DNA synthesis, sequencing, and biological durability validation are future research directions unless explicitly demonstrated and documented.
DNA Vault models DNA information storage computationally. It does not itself synthesize DNA, order oligos, or run sequencers.
Research & Technology Partnerships
DNA Vault is complementary to physical DNA storage companies, synthesis providers, and sequencing platforms. We build the computational intelligence layer.
Seeking research collaborators in:
Universities
Research labs exploring molecular information storage, error correction, and encoding theory.
Biotechnology Laboratories
Groups preparing computational workflows for future physical DNA storage systems.
Sequencing & Synthesis
Companies building read/write infrastructure for molecular information.
Cloud & Data Infrastructure
Providers exploring archival tiers and long-duration storage architectures.
Deep-Tech Investors
Investors interested in the computational layer of the DNA data stack.