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San Diego builds some of the most compliance-sensitive technology in the country. Qualcomm documentation workflows, Illumina regulatory submissions, SAIC and Leidos procurement processing, BD device labeling review. The document volumes are large, the error tolerance is low, and the security requirements rule out most generic AI tools.
We build agents that work inside your constraints: on-premise or air-gapped deployments, full audit trails, access controls tied to your existing directory, and document processing that handles the messy formats your team actually gets. No data leaves your network unless you say so.
Who this is not for: companies with no specific security constraints who just want a fast prototype, or teams that need consumer-facing AI features rather than internal workflow automation.
Generic agent frameworks assume data can flow freely between services. Regulated environments can't assume that. We design for your constraints from the first architecture diagram.
We deploy self-hosted models inside your network boundary using Llama 4, Mistral, or API-compatible endpoints you control. Orchestration runs on your Kubernetes cluster or on-prem VMs. No agent output leaves your environment unless explicitly approved. We document the full data flow map so your security team can verify it.
Defense procurement documents, FDA submission packages, Qualcomm chipset specifications, and device labeling files each have their own format quirks. We build extraction schemas for your specific document types, test against your actual historical files, and measure accuracy before production. Structured output, not free-text summaries.
Every agent decision is logged with the input data hash, model version, tool calls made, and the output produced. Logs are written to an append-only store. You can reconstruct exactly what the agent did on any workflow run and present that record to an auditor. Retention policy is configurable to match your compliance requirements.
Agent permissions are scoped to the minimum required data for each workflow. We integrate with your existing Active Directory or LDAP, enforce role-based access on every tool the agent can call, and tag all data the agent touches with your internal classification labels so it never moves to a lower-classification system automatically.
We have worked through the specific document formats and compliance patterns that show up repeatedly in San Diego's defense, life sciences, and wireless industries.
SAIC, Leidos, and smaller primes deal with RFP and CDRL documents in formats that predate modern tooling. We build agents that extract requirements, cross-reference compliance matrices, and flag gaps before human reviewers spend time on them.
Illumina and BD teams prepare submission packages that require consistent terminology across hundreds of documents. We build review agents that flag inconsistencies, check against your internal style requirements, and produce structured gap reports before the submission goes out.
Qualcomm teams managing large libraries of chipset documentation spend significant time on retrieval and cross-referencing. We build retrieval agents with structured extraction that surface the right spec sections in response to engineer queries, all running inside your network.
Running in your on-premise or cloud environment, verified by your security team before go-live.
Every data source, every system the agent can write to, every external call documented and reviewed.
Append-only logging with configurable retention, pre-wired to your SIEM if required.
Every permission the agent holds, what it can read and write, and how to revoke access cleanly.
Precision and recall numbers measured against your historical documents before production launch.
Direct access to the engineers who built it for thirty days after production deployment.
Yes. We design air-gapped deployments using self-hosted models (Llama 4, Mistral) or on-premise API-compatible endpoints. No data leaves your network. We have worked with teams that handle Controlled Unclassified Information and understand the network segmentation requirements that come with that classification.
We treat data classification as an architecture constraint, not an afterthought. Before writing a line of code we document which data types the agent will touch, which cloud services are permitted, and what logging is allowed. For ITAR-adjacent workflows, we design agents that process only the minimum required data and retain audit logs in your controlled environment.
Document classification and extraction agents for regulated industries vary depending on the number of document types, the complexity of the extraction schema, and whether on-premise deployment is required. We quote fixed scope after a paid discovery phase, which is credited toward the project.
Submission document agents for FDA workflows typically take twelve to eighteen weeks because the edge cases in regulatory document formats are substantial. We spend the first three weeks mapping every document variant your team encounters before writing agent logic, which keeps the error rate low in production.
More questions? Send us a message or read the full service overview.