Investors

The problem

DNA is a candidate medium for dense, long-lived archival storage. Turning bits into DNA and back reliably is an information problem: sequences must respect biochemical constraints, and reads come back with substitutions, insertions, deletions and missing strands. Software decides how much DNA is needed and whether the data comes back intact.

What we have built

VNX-DNA, an open-source codec covering that software path end to end, with fail-closed decoding (no unverified output), native acceleration, a security control plane, and a research process built on pre-registration and reproducibility. Nine versions have been released in public.

Current stage

Software and simulation. No physical DNA experiment has been carried out. We have no customers, revenue or external funding to report.

Differentiation we can support with evidence

• Fail-closed decoding: zero false success in the decoder evaluations reported from V6 to V9 (simulated).
• Published negative results, such as channel models that failed pre-registered adequacy tests.
• V9 results reproducible from the public repository: the spot check re-ran 29 of 29 result rows identically.

Roadmap

V10: decoding performance, robustness to difficult channels, low-coverage recovery, benchmark statistics. Beyond: physical validation with a laboratory partner.

Commercial paths under consideration

Research-infrastructure and software licensing, technology licensing of codec components, paid collaboration on validation, developer tooling, and commercial pilots once physical validation exists. None is in operation.

We do not publish market-size figures we cannot source.