AI integration and RAG that answers from your data, for California 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 California 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 AI integration and RAG mean in practice
A general-purpose model knows nothing about your contracts, product documentation, clinical protocols or shipping rules. RAG fixes that by retrieving the relevant passages from your own sources at question time and asking the model to answer only from them, with citations. Integration is the other half of the job: connecting that capability to the places your people already work, such as your help desk, CRM, internal portal or product, and to the systems that hold the truth, such as databases, document stores and ERP. The result is an assistant that is useful because it is connected and trustworthy because it shows its sources. Projects start at $15,000, and we normally begin with the AI Readiness Sprint to choose the first sources and test answer quality.
Integration use cases for California industries
These are illustrative scenarios for California companies, not results from past projects. Real scope depends on your content, permissions and quality bar.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Technology and SaaS | Support and sales assistant grounded in product docs | Documentation, tickets, CRM |
| Entertainment and media | Asset and rights search across libraries | Asset management, contracts, metadata |
| Healthcare | Internal policy and protocol assistant | Approved policies, procedures, forms |
| Logistics and ports | Operations assistant for tariffs and procedures | SOPs, carrier terms, shipment records |
| Agriculture and food | Compliance and specification assistant | Certifications, buyer specs, supplier files |
Software and SaaS: grounded answers inside the product
For software companies in the Bay Area and Silicon Valley, the strongest RAG projects are customer-facing: a documentation assistant that cites the page it used, a support copilot that drafts replies from resolved tickets, or an in-product feature that answers questions about the customer's own data. Success depends on retrieval quality, so we build an evaluation set from real questions, measure whether the right passages come back, and tune chunking, search and ranking before polishing the interface. Permissions matter as much as relevance: one customer's data must never surface in another's answers, so we enforce access rules at retrieval time.
Media, healthcare and life sciences: search over sensitive content
Los Angeles media libraries hold footage, scripts, contracts and metadata that nobody can search well. A retrieval layer lets a coordinator ask which assets have clearance for a territory and get an answer that points to the source document. In healthcare and life sciences around Los Angeles and San Diego, internal assistants over approved policies, procedures and forms can cut the time staff spend hunting for the current version. These systems answer from approved documents only, show citations and avoid giving clinical advice. Handling terms for any health data are agreed in writing before we connect to it, and the design is reviewed with your privacy and compliance leads.
Logistics and agriculture: procedures and compliance on demand
Operations teams around the ports of Los Angeles and Long Beach rely on procedures, tariff notes and carrier terms scattered across PDFs and email threads. An assistant connected to those sources and to shipment records can answer a dispatcher's question with the relevant clause and the live status. In Sacramento and the Central Valley, agriculture and food companies can put certifications, buyer specifications and supplier files behind one searchable layer, so a compliance question gets an answer with its source instead of a week of back-and-forth.
Privacy, deletion and operations under CCPA/CPRA
RAG systems copy data into indexes, and under the California Consumer Privacy Act as amended by the California Privacy Rights Act (CCPA/CPRA) every copy matters. We design the pipeline so each indexed chunk can be traced to its source record, a deletion or correction in the source propagates to the index, and logs avoid storing more personal data than needed. Systems run in your cloud accounts with your keys. We hold no SOC 2 or other certification and never imply it; we document the architecture for your security review. Coverage follows your Pacific business day through remote delivery from Colombia, 3 hours ahead in winter and 2 hours ahead in summer. After launch, AgentOps at $1,500/month monitors retrieval quality and drift. This is not legal advice. 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 looks up the relevant passages in your own content and asks the model to answer from them, with citations, instead of relying on what the model remembers.
Can the system respect who is allowed to see what?
Yes. Access rules are enforced at retrieval time, so a user only gets answers built from content they are permitted to see.
How do deletion requests reach the index?
Each indexed chunk is traced to its source record, so a deletion or correction in the source can propagate to the index. We design this up front with your counsel in mind.
Which systems can you connect?
Common targets are help desks, CRMs, document stores, databases and internal portals. Scope depends on available APIs and permissions, which the Readiness Sprint checks.
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.