Deep Search Agent

The Deep Search Agent helps teams find precise, reliable answers by searching across connected project documents with a strong focus on drawings and specifications as the source of truth.

Overview

It prioritizes spec sections and latest document revisions, cross-references submittals and RFIs against requirements, and highlights discrepancies when documents are out of alignment.

The Deep Search Agent connects to your existing project tools, processes documents on-the-fly, and returns structured results — so your team can focus on decisions rather than data wrangling.

Inputs

Search query
Connected project documents

Outputs

Grounded answers with source references
Relevant document excerpts

Compatible Integrations

HubSpot

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Oracle Primavera Cloud (OPC)

Connect Oracle Primavera Cloud with Datagrid to automate project reporting and variance detection.

BIM 360 Build

Connect BIM 360 Build with Datagrid to automate RFI processing, submittal tracking, and cross-project reporting with agentic AI.

Jira

Connect Jira with Datagrid to integrate issue tracking, sprint, and project data into AI workflows for enhanced performance analysis and automated reporting.

MariaDB

Connect MariaDB with Datagrid to enhance reporting, analytics, and data synchronization using AI workflows.

Sentry

Connect Sentry with Datagrid to analyze trends, prioritize issues, and automate root cause investigation with error monitoring and performance data.

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Related Guides

CSI Divisions and Construction Specifications (Complete Guide)

Learn how MasterFormat's 50 CSI divisions, three-part section format, and project manuals work together to govern scope, quality, and requirements.

What Is a Submittal in Construction and How AI Agents Are Reshaping the Workflow

Learn what construction submittals are, where workflows break, and how AI agents flag spec gaps, missing certifications, and scope conflicts early.

RFI vs RFP in Construction: Definitions, Process, and Where AI Agents Fit In

Learn how RFIs and RFPs differ in construction, how the workflow breaks down at scale, and where AI agents cut through the backlog.

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