SiteRecon Tech Stack

Mapping and measurement platform for landscaping job estimation

Software Development Dover, Delaware 51–200 employees Founded 2020 Privately Held

SiteRecon builds mapping and measurement tools for landscaping contractors, automating property surveys and job estimation. The stack—PyTorch, GCP, geospatial libraries (QGIS, ArcGIS, OpenLayers), and a frontend built on React + Redux—reveals a computer-vision-heavy platform; the active project list confirms ongoing work on CV models for property mapping. Hiring is accelerating across engineering and data (4 of 6 roles), pointing toward scaling infrastructure and model quality as the near-term priority.

Tech Stack 46 technologies

Core StackPyTorch Terraform ArcGIS React Redux Bootstrap JavaScript Python Java Node.js Firebase Kotlin Flutter Figma Docker Weights & Biases GCP QGIS OpenLayers Flux Immutable.js Ant Design Material-UI LESS SCSS Pub/Sub Dart Android Adobe XD Realm+16 more

AdoptingDocker Weights & Biases MLflow TensorBoard

What SiteRecon Is Building

◆Challenges

Scaling infrastructure for high volume
Reducing deployment time
Achieving soc2 compliance
Pricing accuracy
Bid throughput
Field-to-office handoffs
Reducing time spent on property mapping
Accelerating sales efforts

▲Active Projects

Platform architecture from scratch
Ci/cd pipeline implementation
Self-service developer platform
Property mapping computer vision models

Hiring Activity

Accelerating6 roles · 6 in 30d

Department

Engineering

Data

Sales

Support

Seniority

Mid

Junior

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About SiteRecon

SiteRecon helps U.S. landscaping companies measure properties, generate accurate estimates, and manage job workflows through mapping and computer-vision tools. Founded in 2020 and headquartered in Delaware, the company operates in the mid-market landscaping segment, where job estimation and site measurement have historically been manual and error-prone. The product integrates with existing landscaping software ecosystems and provides a geospatial database for measurement, communication, and task coordination. Scale challenges surface in their pain list: infrastructure scaling, deployment velocity, SOC2 compliance, and field-to-office communication—all typical for a growth-stage SaaS platform serving trade contractors.

HeadquartersDover, Delaware

Company Size51–200 employees

Founded2020

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does SiteRecon use?

PyTorch and GCP for ML and cloud infrastructure; geospatial tools (QGIS, ArcGIS, OpenLayers); React + Redux on the frontend; Firebase, Pub/Sub, Docker, and Node.js in backend systems. Currently adopting MLflow and Weights & Biases for model training.

What is SiteRecon working on?

Platform architecture rebuild, CI/CD pipeline implementation, a self-service developer platform, and property mapping computer vision models. Focused on scaling infrastructure and reducing deployment and estimation time.

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How this profile is built

SiteRecon'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.