AI Development for Defense and Public Sector :
LYFYE builds AI applications for defense industrial base contractors, federal civilian agencies, and government technology integrators. Founded by a military veteran, the firm delivers CMMC 2.0 Level 2, FedRAMP Moderate or High, and NIST AI RMF integration with the operational rigor that public sector procurement demands.
- CMMC 2.0 Level 2 readiness for defense industrial base contractors
- FedRAMP Moderate or High alignment for civilian agency cloud applications
- NIST AI RMF integration documented in the System Security Plan
- Veteran-led delivery with documented military background
A digital workforce of specialized AI agents, built for your company and its departments. Each agent has a named job, its own access, approval steps for the decisions that matter, and a log a person can read. Your people stay in charge.
Defense and Public Sector AI Use Cases
Federal AI deployments in 2026 cluster around six common patterns where LYFYE has delivered or scoped engagement work.
- Mission-support AI agents: document summarization, briefing preparation, intelligence aggregation for civilian and DoD program offices
- Acquisition and procurement automation: contract review, vendor scoring, RFP response analysis at scale
- Cybersecurity AI: threat intel aggregation, anomaly detection augmentation, incident response acceleration
- Veteran services AI: claims processing, medical records review, benefits administration support
- Defense industrial base manufacturing AI: quality assurance automation, supply chain risk monitoring, sustainment forecasting
- Public-facing service AI: citizen services chat, benefits navigation, multilingual translation for federal programs
Compliance Frameworks We Cover
Federal AI work is multi-framework by default. Most engagements involve at least two.
- FedRAMP Moderate or High: 325 to 410 NIST 800-53 rev 5 controls, 3PAO assessment, Sponsoring Agency engagement
- CMMC 2.0 Level 2: 110 NIST 800-171 controls, C3PAO assessment, DFARS clause flow-down
- NIST AI RMF: Govern, Map, Measure, Manage function instrumentation, AI RMF appendix to SSP
- DoD Impact Levels (IL2, IL4, IL5, IL6): cloud security level alignment for DoD applications
- FISMA: federal information security management act compliance for civilian agency systems
- ITAR: International Traffic in Arms Regulations for defense-related controlled technical data
- CUI handling: Controlled Unclassified Information protection per NIST 800-171 and DFARS 7012
Veteran Leadership Matters in This Vertical
LYFYE was founded by Tim Bryant, a military veteran with over 20 years of sales and technology leadership. Veteran leadership in this vertical is not marketing language; it is operational signal. Federal program offices and DIB primes prefer to work with vendors who understand the procurement cycle, the security posture expectations, and the cultural rhythm of working with government customers. The discipline that military experience instills shows up in delivery rigor: written communication standards, security-first defaults, change control discipline, and post-action review practices.
What LYFYE Brings
Founder-led engagement with senior operators delivering hands-on. Direct experience with NIST 800-53 rev 5 control implementation for AI applications. We can coordinate with accredited 3PAOs and customer-selected assessment partners as part of FedRAMP preparation. CMMC consulting experience for defense industrial base contractors. Documented NIST AI RMF integration patterns designed to answer Sponsoring Agency follow-up questions during ATO review.
What LYFYE Does Not Do
We do not pursue classified work that requires TS/SCI clearance and SCIF facility access. Those engagements require cleared firms with facility security clearance. We do not handle large-scale legacy modernization for civilian agencies (refactoring 30-year-old mainframe applications); those projects need different specialty expertise. We do not pursue work that requires direct competition with large federal systems integrators on bulk staffing models; our model is depth, not headcount.
Typical Engagement Profile
Each engagement is scoped and priced on its actual work; smaller, well-defined scopes can start with a Quickstart or Workflow Build (see the LYFYE engagement model). Federal AI engagements run longer than commercial work because of compliance overhead and procurement timelines.
- DIB contractor, CMMC Level 2 readiness with AI application: typically 9 to 14 months
- Civilian agency, FedRAMP Moderate AI application: typically 12 to 16 months (development) plus 3PAO assessment
- Federal program office, NIST AI RMF assessment and implementation: typically 4 to 8 months
- GSA schedule contractor adding AI capability: typically 6 to 10 months
Joint Surveillance Voluntary Assessments (JSVA)
For defense industrial base contractors, we can scope a JSVA conducted by DCMA in partnership with a C3PAO as evidence of in-progress CMMC compliance pending formal certification. JSVAs unlock interim contract awards while full certification finalizes. Discuss with your prime contractor sponsor before assuming a JSVA is acceptable for your specific contract vehicle.
Related Services and Briefings
If you are evaluating LYFYE for defense or public sector AI work, these related resources are directly relevant: Running a Digital Workforce Under FedRAMP (guide), AI Agents in the Defense Supply Chain Under CMMC (guide), Guardrails, Approvals, and Logs for AI Agents (guide), Audit Trails for a Digital Workforce (guide), Public Sector Posture, FedRAMP-Ready Application Development (service page).
How to Engage
30-minute scoping call to confirm fit. Bring your contract vehicle context (DoD prime, civilian agency direct, GSA schedule, OASIS, SEWP), your CMMC or FedRAMP target, and your timeline. Federal procurement decisions are committee-driven so first conversation to signed engagement typically takes 6 to 12 weeks.
Tell us about the work one of your departments does today. We will show you where a digital workforce fits, which decisions stay with your people, and what it would take to build, starting with one workflow.