ProjectMark
ProjectMark is an AI-powered CRM and business development platform built specifically for architecture, engineering, and construction firms. Its "Bolt" AI assistant automates proposal generation, client tracking, win-rate analytics, and project database management — the activities that drive AEC firm business development.
Definition
Business development is a massive time sink for AEC firm leadership. Responding to RFPs, maintaining project databases, tracking pursuit pipelines, and managing client relationships all require dedicated staff time — and most generic CRM tools (Salesforce, HubSpot) don't understand AEC-specific workflows like go/no-go decisions, SF330 form generation, or subconsultant tracking. ProjectMark was designed to fill this gap. The platform combines CRM features (client and contact tracking, pursuit pipeline management) with proposal automation and AEC-specific analytics. The "Bolt" AI assistant can draft proposal sections by pulling from the firm's past project database, update project information from email correspondence, set reminders for pursuit milestones, and generate win/loss analysis reports. For architecture and engineering firms that respond to many public sector RFPs (government buildings, transit, healthcare, education), ProjectMark's ability to automatically pull relevant past project experience and generate compliant proposal language is a significant productivity multiplier. Firms report 40–60% reductions in proposal preparation time on competitive pursuits. ProjectMark integrates with common AEC tools for project data (Deltek Vision, BST Global) and document storage (SharePoint, Google Drive). This is where Nomic becomes complementary: ProjectMark manages the business development and client relationship layer, while Nomic handles the technical document and project knowledge layer — together providing AI assistance across both the business and technical sides of a firm's operations.
Examples
An architecture firm uses ProjectMark to automatically draft SF330 federal proposal sections by pulling from its 15-year project database
An engineering firm's BD director uses ProjectMark to track 40 active pursuits and get AI-generated win probability estimates based on client history
A mid-size AEC firm reduces proposal prep time by 50% using ProjectMark's Bolt AI to draft project descriptions and relevance narratives
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Compatible Platforms
Nomic integrates with these platforms so you can use projectmark across your existing project data:
Frequently Asked Questions
Business development is a massive time sink for AEC firm leadership. Responding to RFPs, maintaining project databases, tracking pursuit pipelines, and managing client relationships all require dedicated staff time — and most generic CRM tools (Salesforce, HubSpot) don't understand AEC-specific workflows like go/no-go decisions, SF330 form generation, or subconsultant tracking. ProjectMark was designed to fill this gap. The platform combines CRM features (client and contact tracking, pursuit pipeline management) with proposal automation and AEC-specific analytics. The "Bolt" AI assistant can draft proposal sections by pulling from the firm's past project database, update project information from email correspondence, set reminders for pursuit milestones, and generate win/loss analysis reports. For architecture and engineering firms that respond to many public sector RFPs (government buildings, transit, healthcare, education), ProjectMark's ability to automatically pull relevant past project experience and generate compliant proposal language is a significant productivity multiplier. Firms report 40–60% reductions in proposal preparation time on competitive pursuits. ProjectMark integrates with common AEC tools for project data (Deltek Vision, BST Global) and document storage (SharePoint, Google Drive). This is where Nomic becomes complementary: ProjectMark manages the business development and client relationship layer, while Nomic handles the technical document and project knowledge layer — together providing AI assistance across both the business and technical sides of a firm's operations.
An architecture firm uses ProjectMark to automatically draft SF330 federal proposal sections by pulling from its 15-year project database. An engineering firm's BD director uses ProjectMark to track 40 active pursuits and get AI-generated win probability estimates based on client history. A mid-size AEC firm reduces proposal prep time by 50% using ProjectMark's Bolt AI to draft project descriptions and relevance narratives.
Project Research: Keep projects moving forward by finding answers fast, without switching between systems.