RFP response software with embedded AI for proposal acceleration
Loopio builds RFP response software for mid-market B2B sales teams. The tech stack—React, Node.js, Elasticsearch, Databricks, and AWS—paired with active ML projects (search, summarization, answer generation) and infrastructure work (scalable inference, automated monitoring, centralized logging) signals a shift from template-and-search toward AI-native proposal generation. Engineering-heavy hiring (15 roles) plus infrastructure pain points (deploying LLMs at scale, scalable inference pipelines) indicate they're building out real-time ML capabilities to differentiate the product.
Notable leadership hires: Software Development Director
Loopio is a Toronto-based RFP response platform for sales and BD teams managing high-volume proposal workflows. The product addresses RFPs, DDQs (data-driven questionnaires), and security questionnaires—three document-response formats that drive deal velocity and win rates in enterprise software sales. Teams use it to centralize response content, reuse past answers, and accelerate turnaround time. The company operates with 201–500 employees and has been recognized for rapid growth within the Canadian tech ecosystem.
Loopio runs React, Node.js, and Elasticsearch on the frontend and API layer, backed by Databricks, Redshift, and AWS services (EC2, ECS, Fargate, Lambda, RDS) for data warehouse and compute. It uses Tableau for analytics, HubSpot and Salesforce for CRM integration, and Datadog for monitoring.
Loopio is actively hiring in Canada (headquarters Toronto) and India, reflecting a distributed engineering and data operations footprint.
Loopio's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.