Commercial and government. Same standard.
We focus on six sectors where the work has to go right, on the commercial side and the government side alike. The problems change from sector to sector. The approach does not: ground AI in your own data, secure what it touches, and measure the result before anyone depends on it.
Defense & National Security
Programs hold decades of engineering knowledge in documents and more data than analysts can read, while most AI tools expect that data to leave the building. Anything fielded has to run on the program's own secure network and hold up to review.
Nontraditional defense contractor10 U.S.C. § 4022
We built our document-to-model pipeline at our own expense and measured it on a synthetic corpus: 18 documents in 7 formats, with 40 defects planted on purpose. No controlled or classified material was used. Technology readiness level 3.
What we do
- AI that stays on your networkGrounded assistants and agent workflows that cite their sources, log every action and run on your own secure network, including disconnected sites.
- Documents into engineering modelsInterface documents, bills of material and cable run sheets become a model engineers can query, with the source page and row behind every element.
- Assurance you can defendTest criteria, red-teaming and drift monitoring mapped to the NIST AI Risk Management Framework, inside a Zero Trust architecture (NIST SP 800-207).
Related solutions
Federal & Civilian Agencies
Agencies that serve the public, transportation included, run critical services on systems built decades ago. Every new AI tool raises the same questions: is the data ready, can the decision be defended, and will it still work when the contract ends?
What we do
- Modernization one workload at a timeRetire legacy systems piece by piece and move to AWS, Azure or Google Cloud, government regions included, while services keep running.
- Data and dashboards tied to decisionsData pipelines and dashboards built around a named decision and the person who owns it, from a safety review to a budget call.
- AI you can defend, bought wellGovernance mapped to the NIST AI Risk Management Framework, and acquisition support so agencies buy new technology with measures of success agreed up front.
Related solutions
Energy & Critical Infrastructure
The control systems that run plants, grids and pipelines were designed for reliability long before they were connected to anything. Operators now have to secure them and put their operating data to work without risking uptime.
What we do
- Operational technology securityAssessment and architecture for industrial control systems, SCADA and building systems, planned around uptime and safety.
- AI for grid and plant decisionsForecasting and decision support grounded in your own operating data, running where that data lives.
- A ready field workforceProcedure training in each worker’s own language, with confirmation that they understood, plus immersive and XR training for field roles.
Related solutions
Manufacturing & Industrial
New workers have to learn safety-critical procedures fast, often in a second language, and a signed training record does not prove anyone understood. The engineering data behind the product sits in drawings, spreadsheets and documents that rarely agree.
FirstShift is an Artheus product in development, now a working prototype: adaptive, multilingual AI that checks that frontline workers understand safety-critical procedures, in their own language.
What we do
- Onboarding that proves understandingAdaptive onboarding and multilingual training that confirm each worker understood the procedure, and keep a record of it.
- Engineering data you can trustBills of material, cable run sheets and port tables become one engineering model, with conflicts between documents flagged for a person to resolve.
- AI on the factory floorAssistants that answer from your own procedures and manuals, cite the page they used and run inside your network.
Related solutions
Defense Suppliers & Technology Companies
Defense contracts increasingly require a CMMC status before award, and many small suppliers do not know where they stand. Commercial technology companies with a strong product often stall at the first registration, compliance check or proposal.
We did this work on ourselves first. Artheus was formed in July 2026 and affirmed CMMC Level 2 (Self) in SPRS in September 2026.
What we do
- CMMC and NIST SP 800-171 readinessGap assessment, system security plan, fixes and help preparing your SPRS submission.
- Government market entryRegistrations, compliance and a first bid for commercial companies selling to government for the first time.
- Nontraditional pathways and proposalsOTA, SBIR/STTR and BAA strategy, plus capture support, proposal writing and independent color-team reviews.
Related solutions
International Development
Development programs are judged on results, yet the data behind those results is often collected on paper, reported late and hard to verify. Donors want evidence they can check, and field teams need to provide it without extra burden.
What we do
- Monitoring and evaluation platformsData collection, analysis and reporting built for development programs and the field teams who run them.
- Independent third-party monitoringTools and reports that let an independent party verify what was delivered, with the evidence behind every figure.
- Training in the local languageMultilingual training and certification for field staff and partners, with a check that each person understood.
Related solutions
Where the same methods apply
Our home-page tour visits three markets outside the six above. They are not sectors we claim experience in. They are places where the same work applies directly: clean data, AI that is tested before anyone trusts it, and security built in from the start.
Finance
Risk and operations teams sit on more reports than answers. An AI Readiness Sprint sorts the data they already have and finds the one question worth answering first.
Biotech and life sciences
In a lab, an AI result is only useful if it holds up. We test models against real outcomes and document what they can and cannot do before anyone relies on them.
Retail
New layouts and procedures only pay off when staff can use them. Immersive training lets teams rehearse before opening day, and data work shows what changed afterward.
Have a problem in one of these sectors?
If your industry is not listed here, the methods still apply. Send us a note and we will suggest a first step.