RFP response software with AI-powered search and answer generation
Loopio builds RFP response software for mid-market sales and legal teams. The stack is modern and data-heavy—React + Node.js + Python on AWS, with Databricks, Redshift, and Apache Airflow backing ML inference pipelines—but the company is visibly in flux. Projects center on next-gen search and AI answer generation, yet pain points reveal operational friction: scaling systems, reducing support toil, and improving output accuracy. Hiring is engineering-heavy (24 of 41 roles) with senior-skewed seniority, suggesting Loopio is rebuilding core capabilities rather than scaling a stable product.
Loopio is a Toronto-based RFP response platform used by enterprise sales and legal teams to manage RFPs, DDQs, and security questionnaires. Founded in 2014, the company serves mid-market to enterprise segments looking to standardize response workflows and reduce manual effort. The product integrates with CRM and sales-ops stacks (HubSpot, Salesforce, Outreach, ZoomInfo). The company operates across Canada and India with 201–500 employees and has been recognized on Deloitte's Technology Fast 50 list and LinkedIn's Top Startups in Canada.
Frontend: React. Backend: Node.js, PHP, Python, Flask. Data: Elasticsearch, MySQL, Databricks, Redshift, AWS RDS. Orchestration: Apache Airflow, Terraform, Docker, Jenkins. Infrastructure: AWS (Lambda, ECS, Fargate, Glue). Monitoring: Datadog, CloudWatch. CRM: HubSpot, Salesforce, Outreach.
Next-generation search, summarization, and AI answer generation for RFP responses. Scalable ML inference pipelines, multi-agent orchestration workflows, web platform end-to-end features, and marketing tech stack consolidation.
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