About
Invariant Labs builds foundational infrastructure where correctness is the product. We develop deterministic data processing libraries, standards-grade conformance tooling, and engineering practices that produce evidence of correctness.
Our work operates at the lowest layers of the software supply chain: IEEE 754 floating-point formatting, JSON canonicalization (RFC 8785), and deterministic build verification. The stack invariant is simple: same inputs and same tool identities produce byte-identical governed outputs.
Work
json-canon
Engineering Articles
JCS Conformance Research
Lattice Substrate
Research
Fixed-Width vs. Multiprecision Digit Generation for JSON Canonicalization. Under peer review, Software: Practice and Experience (Wiley).
Conformance dataset: doi.org/10.5281/zenodo.18890836
Upcoming
IIW 42 (Internet Identity Workshop), April 28 to 30, 2026, Mountain View, CA. Presenting on JCS number formatting conformance.