AI integration and RAG that answers from your data, for Virginia companies.
Retrieval-augmented generation (RAG) lets a language model answer from your own documents and systems instead of guessing. We integrate it into the software Virginia companies already run, with permissions, citations and deletion in mind. Cloudsoft Industries LLC, a Delaware limited liability company. We serve clients worldwide; our engineering team works from Colombia (UTC-5).
Book a scoping call →What integration and RAG mean in practice
A general-purpose model has never seen your past proposals, your control library, your runbooks or your clinical policies. RAG addresses that by retrieving the relevant passages from your own sources when a question is asked and instructing the model to answer only from them, with citations. Integration is the other half: embedding that capability in the places your people already work, such as the proposal tool, the ticketing system, the intranet or your product, and linking it to the systems that hold the facts. The assistant is useful because it is connected and trustworthy because it shows its sources. Projects start at $15,000, and we normally begin with an AI Readiness Sprint at $4,500.
Integration use cases for Virginia industries
These are illustrative scenarios for Virginia companies, not results from past projects. Real scope depends on your content, permissions and quality bar.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Government contracting | Past-performance and proposal-content search | Proposal library, past volumes, résumés |
| Cybersecurity | Policy, control and evidence assistant | Policy library, control mappings, audit reports |
| Defense | Procurement and supplier-requirement search | Purchase terms, supplier records, procedures |
| Data centers | Runbook and maintenance-history assistant | Runbooks, change records, vendor manuals |
| Healthcare | Internal policy and protocol assistant | Approved policies, procedures, forms |
Contractors: proposal knowledge that people can actually find
A contractor's best proposal content is scattered across old volumes, résumés, past-performance write-ups and email threads. A RAG assistant can retrieve the most relevant past-performance paragraph for a new requirement and show exactly which document it came from, so a writer adapts it instead of searching for it. Retrieval quality decides whether this helps, so we build an evaluation set from real questions, measure whether the right passages come back and tune search before building the interface. Access matters too: content tied to a specific customer or teaming agreement should surface only to the people cleared to see it internally, so permissions are enforced at retrieval time.
Cybersecurity and data centers: evidence and runbook search
Security teams answer the same control questions again and again, and operators in data centers hunt through runbooks and vendor manuals during incidents. A control assistant can answer a customer's question from approved policy and audit documents and cite the clause. A runbook assistant can retrieve the relevant procedure and the history of similar past changes for an engineer in the middle of a maintenance window. In both cases the assistant retrieves and cites; it does not take actions on production systems or alter security controls.
Healthcare and defense suppliers: sensitive content, careful boundaries
Health systems across Virginia can use RAG for internal questions about approved policies, forms and procedures, with citations back to the source document and no clinical decisions made by the model. HIPAA and the state's consumer data protection law both shape the design, so handling terms are agreed in writing and retrieval is limited by role. For defense suppliers, the sources must be limited to material a team outside the United States may lawfully handle. Content that is classified, export-controlled or restricted by contract is out of scope, and we confirm that boundary with your compliance team before indexing anything.
Keeping answers current and auditable
A RAG system is only as good as the content behind it, and in Virginia compliance and contracting settings that content is revised constantly. We set up ingestion so that new and updated documents are indexed on a schedule, superseded versions are retired and every answer displays the date and version of its source. Each query and retrieved passage is logged, which gives reviewers and auditors a trail. Evaluation continues after launch: a fixed set of real questions is re-run after every content or model change so quality drops are caught early. That ongoing care is what AgentOps covers.
Security, permissions and ownership
We enforce access rules at retrieval time, keep embeddings and logs in your cloud accounts, set retention limits and design deletion to reach indexes and caches. We hold no SOC 2 or other certification and say so; we document the controls your review requires. Projects start at $15,000, the AI Readiness Sprint is $4,500 and AgentOps is $1,500/month. Contracts and invoicing in USD through Cloudsoft Industries LLC (Delaware). Clients own 100% of the code and IP once each milestone is paid. Code lives in the client's repositories from day one. Mutual NDA available.
Frequently asked questions
What is RAG, in plain terms?
Retrieval-augmented generation finds the relevant passages in your own documents and hands them to a language model so it answers from them, with citations, rather than relying on general knowledge.
Can the system run in our own cloud?
Yes. We build inside your cloud accounts and repositories, keep indexes and logs there and set retention rules so the data remains under your control.
How do you keep restricted content from the wrong people?
Permissions are checked when documents are retrieved, using your existing access rules, so the model never receives content the person asking is not allowed to see.
Can you index contract documents that contain controlled information?
Not unless the contract terms and applicable rules allow a team outside the United States to handle them. We review the requirements with your compliance team first and exclude anything that does not qualify.
What does AI integration cost?
AI integration and RAG projects start at $15,000, the AI Readiness Sprint is $4,500 and AgentOps is $1,500/month.