Top 8 Knowledge Base Automation Agencies for Architects (2025)

Knowledge Architecture provides the Synthesis platform, an integrated knowledge and learning management solution designed specifically for AEC firms, including architects. Synthesis serves as a central hub for firmwide knowledge and information, allowing architects to access links to content even if it resides outside the platform, and includes features like AI Search that generates rich answers to natural language queries by summarizing relevant intranet content. The platform supports architects in managing project directories, employee profiles, and learning resources, with integrations to tools like Deltek, Unanet, OpenAsset, Azure Active Directory, and Teams, enabling searchable sources of truth for skills, experience, and project data in architecture practices. For architects, Synthesis offers tools to create and maintain beautiful content without technical expertise, using configuration wizards, drag-and-drop interfaces, and page templates to build firmwide knowledge bases, while reinforcing brand identity through customizable colors, fonts, and logos. The platform is SOC 2 and GDPR compliant, ensuring secure intranet content for architecture firms, and includes an LMS in private beta that combines training, firm knowledge, and AI Search into one system to facilitate employee learning and growth in AEC environments. Knowledge Architecture emphasizes community-driven development, with events like KA Connect for sharing best practices in knowledge management tailored to architects and engineering teams.

Based on available information, ArchiLabs is an AI co-pilot for architects focused on automating design and documentation tasks within CAD/BIM software like Revit. It uses a conversational interface and visual node-based system to execute commands from simple prompts, generating scripts to handle repetitive architectural tasks such as view creation, tagging, and dimensioning. ArchiLabs aims to increase design speed by delegating routine work to AI, allowing architects to focus on creative aspects while automating BIM workflows for knowledge management in project documentation.

Based on available information, EvolveLab offers Glyph, a Revit plugin for automating construction documentation in architecture workflows. Glyph Co-Pilot uses ChatGPT to interpret typed requests, such as dimensioning floor plans or generating elevations, and executes them to speed up knowledge base-related tasks like sheet packing and tagging. It assembles bundles of automation tasks to reduce manual clicks in BIM processes, helping architects manage and generate documentation knowledge efficiently.

Based on available information, Autodesk provides Forma (formerly Spacemaker), a cloud-based tool for early-stage architectural design using AI for site planning and schematic analysis. It generates options for developments based on criteria like budget and site constraints, ranking them for priorities including daylight in residential buildings, which supports knowledge base automation by providing data-driven insights for project knowledge retrieval and optimization in architecture firms.

Based on available information, Skema is a BIM tool that uses machine learning on past project data to generate new building designs quickly for architects. It reuses firm-specific BIM knowledge to produce layouts up to LOD 350 from schematic concepts, automating knowledge transfer from historical architectural projects to accelerate design and documentation processes.

Based on available information, Hypar is an AI tool for early concept design in architecture, described as 'text-to-BIM' that generates geometry and metadata from prompts describing project parameters and constraints. It works alongside software like Revit and Rhino to automate initial design stages, supporting knowledge base functions by creating structured BIM data from descriptive inputs for architects.

Based on available information, Sidewalk Labs offers Delve, a machine learning tool for early concept design in architecture, trained on city neighborhood data to generate millions of development options based on user criteria like budget and site constraints. It ranks options for priorities and provides apartment-level daylight information, aiding architects in knowledge-driven site analysis and option exploration.