IT & AI Solutions — Federal · SLED · Commercial
We work where infrastructure, compliance, and delivery intersect — the part of a program that determines whether it actually ships.
Most IT programs don't fail because of technology. They fail during implementation — when documentation lags, stakeholder coordination breaks down, or a system reaches production without the compliance artifacts needed to operate it. Aidron focuses on exactly that phase: the delivery work.
We support federal and commercial customers on infrastructure modernization, AI integration, and cloud operations. Our work tends to be operational rather than advisory — building systems, writing runbooks, completing ATOs, and staying until programs are running in production.
We build AI systems that go into production — LLM-powered applications, RAG pipelines, evaluation frameworks, and the governance structures that support them in regulated environments.
See AI capabilities →Cloud migration, landing zone architecture, and workload optimization on AWS GovCloud and Azure Government. We use Terraform and treat infrastructure as code from day one.
See services →Our engagement model is built around delivery outcomes — not hours billed. We stay until the system is in production and documented.
NIST 800-53 controls, RMF alignment, and FedRAMP readiness are part of how we architect systems, not something we address after the fact.
ATO timelines, program office coordination, contracting constraints — we've operated inside enough federal programs to know what slows them down.
We'll tell you when an LLM is the right tool and when it isn't. We build for integration and operational reliability, not demos.
Migrations and modernization projects are scoped around what the workload actually needs — not a cloud vendor's reference architecture.
Runbooks, SOPs, system documentation. If we build it, we document it in a form the next team can actually use.
Aidron LLC is a small IT and AI solutions firm. We don't have a hundred-person bench or a decades-long legacy practice. What we have is a focused team that has worked on the kinds of problems federal and commercial IT programs actually struggle with: getting modern infrastructure into production, navigating compliance in cloud environments, and integrating AI in ways that hold up operationally.
We operate as a prime and subcontract depending on the engagement. For government work, we're oriented toward federal civilian, SLED, and defense-adjacent programs where the compliance and documentation requirements are real. For commercial customers, we typically work with organizations that have outgrown their existing infrastructure or are trying to operationalize AI without creating technical debt.
A lot of organizations can build a prototype. Fewer can complete the security documentation, architect for compliance from the ground up, and keep a program on track when the contracting process slows things down. That gap — between a working demo and a production system you can operate — is where Aidron does its work.
We're not set up to replace large integrators on programs that need a hundred FTEs. We're best suited for programs where a capable, focused team adds more value than a large one — typically modernization efforts, AI integration projects, and security engagements where technical depth matters more than headcount.
We build AI systems with a production orientation — meaning the work doesn't stop when the model runs. We scope, architect, and implement LLM-powered applications, RAG pipelines using vector databases, and agentic workflows. We also help organizations build evaluation frameworks and governance structures before deploying AI in regulated or high-stakes environments.
We design and execute cloud migrations with an emphasis on security architecture and operational readiness. Most of our cloud work involves AWS GovCloud or Azure Government, and we typically deliver a landing zone, account structure, and baseline controls before migrating workloads. Infrastructure is defined in Terraform from the start.
There's a difference between an AI proof of concept and a system that operates in production. We've seen a lot of organizations stuck between the two. Our AI work is focused on closing that gap — architecture decisions that hold up under real data, evaluation that catches problems before deployment, and governance appropriate to the environment.
We design and build LLM-powered applications — document Q&A systems, workflow automation, decision support tools — architected for the data security and access control requirements of the deployment environment.
RAG systems using vector databases and embedding pipelines to give language models access to organization-specific content. We handle the indexing strategy, retrieval tuning, and the evaluation framework to measure whether it's actually working.
We help organizations choose models based on their actual requirements — latency, cost, output quality, data handling constraints — and build evaluation datasets from real use cases rather than benchmark proxies.
For federal and regulated commercial environments, AI deployment requires documentation, monitoring, and accountability structures. We build governance frameworks appropriate to the use case and the risk profile — not generic checklists.
We pick up AI projects that have stalled after the prototype phase. That typically means addressing infrastructure, security controls, integration points, and the operational procedures that make a system maintainable after the initial build.
Design and implementation of AI agents that interact with external tools, APIs, and data sources. We focus on reliability, observability, and the failure modes that matter in production — not just whether the agent completes a task in a demo.
Small firms build credibility by staying in their lane. These are firm boundaries.
Primary NAICS Codes
Aidron pursues direct contracting with federal and SLED agencies and works as a subcontractor on programs led by prime contractors. We're actively pursuing additional contract vehicles.
Specific certifications will be listed as they are confirmed. We do not claim certifications not yet obtained.
Our capability statement includes core competencies, NAICS codes, and POC information for contracting officers. Request a copy or download directly.
For contracting-specific inquiries, RFI responses, and teaming discussions, contact us at contracts@aidronllc.com.
IT modernization, cloud migration to GovCloud, ATO support, and AI integration for civilian agencies operating under FedRAMP and FISMA requirements.
Digital services modernization, infrastructure upgrades, and AI-assisted workflows for state and local programs that need federal-grade security without federal procurement complexity.
Subcontract support on defense programs requiring secure infrastructure, DevSecOps practices, and documentation aligned to CMMC and RMF.
Cloud architecture and AI integration for healthcare organizations navigating HIPAA requirements and the operational demands of clinical data environments.
Infrastructure modernization and AI integration for financial institutions where auditability, access control, and data lineage are non-negotiable requirements.
Scalable infrastructure, AI integration, and DevOps maturity for technology companies that have grown past what their initial architecture can support.
For RFI responses, teaming discussions, subcontracting, and contracting officer inquiries.
For cloud, AI, or infrastructure project discussions. We typically respond within one business day.
All other inquiries, press, and partnership questions.