Dealpath Tech Stack

AI operating system for real estate investment deal management and portfolio tracking

Software Development San Francisco, CA 51–200 employees Founded 2014 Privately Held

Dealpath operates a deal-management platform built on a full-stack architecture spanning Ruby, Python, React, and cloud infrastructure (AWS, GCP, Vertex AI). The hiring mix—weighted heavily toward support, marketing, and customer success roles—reveals operational priorities around scaling implementation and customer onboarding for enterprise accounts rather than product expansion. Current project focus on AI model validation, customer journey development, and demand generation suggests Dealpath is consolidating its post-sale execution while pushing its AI capabilities deeper into workflows.

Tech Stack 33 technologies

Core StackSalesforce Asana Gong Cursor Ruby Flask Node.js React Angular Vue Slack AWS AWS RDS Vertex AI PostgreSQL MySQL Ansible Puppet Python Ruby on Rails Postman Jira Trello SAML AWS EKS OpenSearch GCP Chef Gemini TestRail+3 more

What Dealpath Is Building

◆Challenges

Customer adoption and retention
Improving implementation processes
Customer growth and satisfaction
Drive measurable growth in pipeline
Scale demand generation
Expand category leadership
Scaling customer success function
Support large teams at scale
Model performance validation
Reduce manual work for real estate professionals

▲Active Projects

Scalable processes and success metrics
Ai evals for model performance validation
Customer journey development
Optimizing implementation process
Configuring dealpath accounts post-sale
Customer journey building
Performance culture establishment
Onboarding programs for enterprise accounts
Demand generation scaling
Enterprise post-implementation programs

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Support

Marketing

Product

Customer-Success

Engineering

Ops

Sales

Seniority

Senior

Mid

Manager

Principal

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About Dealpath

Dealpath is a SaaS platform for commercial real estate investment firms, built around deal sourcing, investment analysis, portfolio management, and market intelligence. The product serves institutional investors and mid-market firms across the full investment lifecycle. The company operates in the United States and structures its team around customer success and support operations, indicating a relationship-heavy, implementation-intensive sales model. At 51–200 employees, the organization is still in active scaling mode.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2014

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Dealpath use?

Dealpath runs on Ruby on Rails and Python (backend), React and Vue (frontend), AWS/GCP infrastructure (EKS, RDS, Vertex AI), Salesforce (CRM), and Gong (sales ops). It uses OpenSearch for search, TestRail for QA, and Jira for project tracking.

What is Dealpath working on?

Current projects focus on AI model performance validation, customer journey development, demand generation scaling, enterprise onboarding programs, and optimizing post-sale implementation. The organization is also building scalable support processes and performance metrics for customer success.

How this profile is built

Dealpath'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.