When to choose this:
Agencies seeking a “quick win” POC—e.g., basic text classification or document summarization.

What you get:
On-site/remote workshop to define core use cases (e.g., “automated FOIA request triage,” “policies summarization”).

Deployment of a lightweight, off-the-shelf LLM (open-source or commercial) inside an agency’s FedRAMP environment.

Simple integration with existing document repositories or chat interface.

2–4 weeks to produce a working prototype.

When to choose this:
Agencies that have internal data (policies, regulations, historical reports) and need a domain-tuned LLM for higher accuracy.

What you get:
Data ingestion & cleaning pipeline (CUI-compliant) for agency documentation.

Fine-tuning or prompt-engineering on proprietary datasets (e.g., “agricultural policy corpus,” “technical manuals”).

RESTful API endpoints (hosted in GovCloud/Azure Gov) for secure inference.

Basic UI widget or chat interface to demonstrate use cases.

8–12 weeks to deliver.

When to choose this:
Agencies that require a fully managed, continuously monitored LLM service with custom monitoring, automatic retraining, and 24/7 support.

What you get:

End-to-end architecture design inside a FedRAMP Moderate (or High) authorized enclave.

Custom model development (from training on scratch or large fine-tuning), including model validation metrics (e.g., ROUGE/F1).

Automated continuous monitoring (drift detection, bias checks, performance dashboards).

SLA-backed “Model-as-a-Service” with updates/patches, quarterly security reviews, and disaster-recovery planning.

16–24 weeks (or more, depending on data volume) to stand up a production-ready environment.