
Workorb
GraphLLM that understands enterprise relationships.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
* | CAD2.6m | Seed | |
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
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Workorb AI provides an enterprise automation platform specifically designed for the Architecture, Engineering, and Construction (AEC) industry. Founded in 2022 by seasoned entrepreneurs and AI researchers Nick Koudas (CEO) and Nilesh Bansal (CTO), the Toronto-based company aims to solve critical data utilization challenges within the AEC sector. Koudas and Bansal are repeat founders, having previously established two successful AI companies, Sysomos and Aislelabs, after their extensive research at the University of Toronto. Their collective experience in unstructured data, machine learning, and natural language processing, backed by over 200 research papers and patents, forms the foundation of Workorb's technology.
The company's core offering is an AI-powered platform that automates non-billable, repetitive tasks, enabling AEC firms to focus on strategic, revenue-generating activities. Workorb's system addresses the pervasive issue of underutilized and disorganized data—such as RFPs, proposals, project reports, and designs—by automatically cleaning, processing, and curating this information with no manual entry required. This creates a centralized, AI-ready Knowledge Hub from a firm's institutional data. Key features include automated proposal and RFP response generation, compliance checks against submission requirements, and tools for making informed go/no-go decisions on new projects. The platform integrates with existing systems like Microsoft SharePoint, Salesforce, and Autodesk Construction Cloud.
Workorb operates on a B2B model, serving architecture, consulting engineering, and construction companies. The business generates revenue by providing its software to these firms, helping them to improve efficiency, increase their proposal win rates, and better leverage their institutional knowledge. In the summer of 2024, the company secured $2.6 million CAD in a seed funding round led by Metavallon VC and Freedom of Innovation Ventures. This capital is being used to expand sales and accelerate product development. Workorb emphasizes data security, ensuring that firms retain full ownership of their intellectual property, which is never used to train external models.
Keywords: AEC AI, proposal automation, construction technology, engineering automation, knowledge management for AEC, RFP response automation, non-billable task automation, business development for AEC, AI for architects, AI for consulting engineers, project data analysis, Workorb AI, Nick Koudas, Nilesh Bansal, data integration for construction, compliance automation, AEC software, Toronto startup, AI-ready data, institutional knowledge retention, AEC productivity tools, go/no-go decision making, automated proposal generation