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AI Agent Developer: San Diego
San Diego's defense sector (General Dynamics IT, Leidos, Cubic Defense) runs proposal operations that scale directly with the number of RFPs in the pipeline. Teams responding to 50 to 100 RFPs per year spend 80 to 120 hours per response on tasks that are high-repetition and rule-governed: compliance matrix completion, past performance retrieval, section drafting against solicitation requirements.
An agent that reads the RFP, identifies required sections, retrieves relevant past performance citations from the bid library, and drafts non-technical sections cuts 40 to 50 percent of that time. The constraint is ITAR: any agent that touches controlled unclassified information must run on-premise or in an ITAR-compliant cloud environment. No data leaves the authorized boundary.
We build these agents with a fixed scope tailored to your RFP volume and compliance requirements.
Tell us about your proposals or research intelligence workflow.
Defense contractors with an active proposals pipeline of 30 or more RFPs per year. Your team already has a bid library with past performance records and a defined proposal process. The problem is throughput: the volume of compliant, well-sourced proposals your team can produce is limited by how fast people can read solicitations and write sections.
Biotech companies like Illumina and Neurocrine have a parallel use case: competitive intelligence analysts who monitor publication databases, track competitor patent filings, and produce internal research briefings. Each briefing takes 4 to 6 hours to compile from scratch. An agent that pulls the relevant literature, cross-references against internal research data, and drafts the briefing structure cuts that to a review task.
Both use cases have a data reliability requirement. Defense proposals need accurate past performance citations. Biotech briefings need reliable literature sources. The agent architecture must enforce these reliability standards, not assume the model will get them right.
Where the agent fits in an RFP response cycle.
The agent reads the solicitation, identifies every required section (L and M factors, PWS requirements, evaluation criteria), and builds a compliance matrix. What a proposal coordinator spends 3 to 4 hours doing manually takes the agent 8 to 12 minutes.
The agent embeds the RFP requirements and retrieves the top-matching past performance records from the bid library using vector similarity. It ranks by capability match, agency type, and recency, the three factors FAR 15.305 evaluators weight most heavily.
Executive summary, management approach, corporate experience, and transition plan sections follow a structure that maps directly to solicitation requirements. The agent drafts each section with the identified past performance citations pre-populated.
Before the draft leaves the agent, a compliance check verifies that every 'shall' statement in the solicitation has a corresponding response section. Missing responses are flagged with the specific requirement. The proposal manager sees the gap list rather than discovering it on page 87.
CUI and export-controlled data cannot be sent to a third-party model API. The public OpenAI API is not an authorized environment regardless of its terms of service. The agent runs on-premise or in Azure Government, AWS GovCloud, or another FedRAMP-authorized region.
Llama 4 70B and Mistral Large run on a 4-GPU server and produce output quality sufficient for non-technical proposal sections. We run a sample comparison during discovery so you can evaluate the quality trade-off before committing to an on-premise deployment.
Every agent action that reads or writes controlled information is logged with user identity, timestamp, resource accessed, and action type. Logs are written to an append-only store. This is a DFARS 252.204-7012 requirement, not an optional feature.
The agent authenticates with scoped credentials that limit access to the bid library and the RFP document store. It cannot read contracts, financial data, or personnel records. Access scope is defined in the deployment configuration and reviewed before go-live.
Walk us through the current proposals workflow, your data classification level, and your cloud or on-premise constraints. We will reply within one business day.