Our record

Our record, stated plainly.

Artheus was formed in July 2026 and is building its record of past performance. Until that record grows, here is what we have built and measured ourselves.

Built and measured

What we can show you today.

Four pieces of Artheus's own work. None of it is client work. It is the same kind of work we offer companies and agencies, done on ourselves first.

110/110
NIST SP 800-171 self-assessment score, posted in SPRS in September 2026
About 2 months
From forming the company in July 2026 to CMMC Level 2 (Self)
0.974
F1 score recovering cable connectors from a synthetic test corpus
9
White papers published on applied AI, security and modernization
The detail

What each result means.

We state the limits alongside the numbers, so you know exactly what each one shows.

01

Our own security posture

Affirmed in SPRS

Artheus went from formation in July 2026 to a NIST SP 800-171 self-assessment score of 110 of 110 and CMMC Level 2 (Self) status in about two months. The score was posted and the CMMC status affirmed in SPRS, the Defense Department's Supplier Performance Risk System, in September 2026.

A self-assessment is our own scored review against the standard, not a third-party certification. It is the same path our CMMC and NIST SP 800-171 Readiness service is built around.

NIST SP 800-171CMMC Level 2 (Self)SPRS
See CMMC readiness
02

Document-to-model pipeline

Technology readiness level 3

We built a pipeline that reads mixed-format engineering documents and turns them into a populated engineering model, with every element traced to the document, page and row it came from. We built and measured it at our own expense.

Test results on a synthetic corpus
18documents in 7 formats
40defects planted on purpose
0.974F1, cable connectors recovered
1.000F1, requirements recovered
1.000provenance resolvable for every element
0false conflicts reported
37.5sto process the full corpus on a CPU
TRL 3technology readiness level: proof of concept

The test corpus is synthetic, made for testing, with no controlled or classified material. Real documents may score differently, so on any engagement we agree how accuracy will be measured before the work starts.

F1 is a standard accuracy score from 0 to 1 that counts both missed items and false finds. A score of 1.000 is perfect.

See Digital Engineering
03

FirstShift

Working prototype

FirstShift is an Artheus product in development: adaptive, multilingual AI that checks that frontline workers understand safety-critical procedures, in their own language.

Today it is a working prototype. It is not yet a fielded product.

MultilingualFrontline safetyAdaptive learning
See Workforce & Applied Learning
04

Nine published white papers

Published

Short, practical papers on the problems we work on, from running AI inside a security boundary to testing it before anyone depends on it.

Applied AIZero TrustModernizationAI governanceData readinessWorkforce
Read the white papers
Start here

See whether we are the right fit.

A short conversation is enough to tell whether we can help your company or agency. Contracting officers and primes will find our registration details and capability statement on the contracting page.