Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty
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“For organizations managing high-stakes programs, SEERai has moved from enhancement to necessity. By combining human expertise with AI precision, it produces defensible, adaptive estimates that accelerate speed to market, ensure project viability, and maximize profitability while remaining fully responsive to real-world change.”
These agents handle the heavy lift across intake, modeling, and review, converting CAD, RFPs, stories, and market data into clear, auditable outputs. Plug them into your workflow to produce structured, defensible results that cut cycle time, raise forecast quality, improve bids, and reduce risk.
SEERai connects program inputs to AI agents that handle intake, modeling, and review. CAD files, RFPs, and user stories are converted into traceable estimates, risk profiles, and sourcing recommendations you can act on with confidence.
Inputs: CAD files, RFPs, user stories, quotes, historical models, award data
Processing: Multi-agent orchestration (ingest, classify, size, estimate, analyze risk, source)
Outputs: Decision-ready, traceable artifacts: WBS, cost drivers, staffing profiles, risk-adjusted scenarios, compliant RFP drafts, sourcing comparisons
Tenant isolation and full data encryption
Role-based permissions
Source-to-output trace links for audit defense
Human-in-the-loop guidance and model transparency
Flexible data retention aligned with compliance mandates
SEERai is not a general-purpose language interface. It is a modular, agentic AI platform designed explicitly for estimation, procurement, planning, and risk modeling in high-accountability environments. While tools like ChatGPT Enterprise or Microsoft Copilot offer generalized productivity enhancements, SEERai differs in five key ways:
Yes. SEERai supports deployments in air-gapped, self-hosted, or secure cloud environments (e.g., AWS GovCloud). It uses tenant-based data isolation, TLS 1.3 for data in transit, AES-256 encryption at rest, and full RBAC governance. Agent execution and document access remain fully contained within each tenant’s infrastructure, and data is never shared across tenants.
No. SEERai does not share, harvest, or centralize tenant data. Each tenant is isolated, and your data, interactions, queries, prompts, and chats remain entirely private and are never used by Galorath for model training or platform tuning outside your tenant. SEERai may learn from user interaction patterns to improve workflows, but no customer-specific data, documents, prompts, or outputs are ever used to train or refine platform-wide models.
SEERai is usable within days. It includes a SEER Help Agent trained on SEER knowledge and a chat-based interface that accelerates onboarding. Its intuitive design enables non-technical users to begin asking domain-specific questions with minimal training.
Yes. SEERai supports real-time ingestion using instant Retrieval-Augmented Generation (RAG). Uploaded files—including RFPs, 2D/3D CAD drawings, spreadsheets, scanned PDFs, and architecture documents—are vectorized, indexed, and made ingestible by SEERai within minutes. This eliminates the retraining delays typically associated with traditional AI systems.
SEERai enables users to generate cost, schedule, and risk estimates using natural language. It automates WBS creation, exports SEER Scripts compatible with SEER®, and supports project planning through historical data and real-time user inputs. SEERai does not directly initiate SEER estimates, but its outputs are fully interoperable with SEER products for downstream modeling.
SEERai helps teams replace guesswork with structured, traceable outputs that stand up to audits and reviews. Whether you’re building cost models, evaluating risks, or sourcing with live data, every decision is backed by clarity and evidence.
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