Tolemi offers a cloud‑native platform that consolidates property‑related data from municipal departments into a unified, spatially enabled repository with GIS visualizations and API access. The solution applies automated ETL, machine‑learning risk scores and workflow automation to streamline licensing, inspections, and compliance notifications, enabling city staff to prioritize interventions and make data‑driven policy decisions.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Municipal agencies often store property‑related data in separate legacy systems—code enforcement, tax, permits, utilities, and public safety—resulting in fragmented information, manual cross‑referencing, and delayed decision‑making for housing, compliance, and economic‑development initiatives.
Solution
Tolemi delivers a cloud‑native data integration and insights platform that consolidates disparate municipal datasets into a unified, spatially enabled repository. The platform normalizes and enriches records through automated ETL pipelines, then applies risk‑scoring algorithms and predictive analytics to surface actionable insights. Users access these insights via configurable web dashboards, GIS‑based visualizations, and API endpoints that integrate with existing municipal workflows. Built‑in workflow tools automate licensing, inspection scheduling, and compliance notifications, enabling city staff to prioritize interventions, reduce manual effort, and make evidence‑based policy decisions across code enforcement, rental registration, housing strategy, and economic‑development functions.
Target Audience
Primary customers are city and county governments—specifically code‑enforcement, housing, planning, economic‑development, and land‑bank departments—that need a unified data foundation to streamline operations and support data‑driven policy.
Features
- Centralized data hub that ingests and harmonizes property data from multiple departmental sources using scalable ETL and schema‑mapping services.
- Advanced spatial analytics and map‑based UI powered by GIS integration for parcel‑level visualization and site selection.
- Machine‑learning risk models that generate daily property risk scores for blight, fire, foreclosure, and code violations.
- Automated workflow engine (Slate) for licensing, inspection scheduling, fee collection, and compliance alerts with email/SMS notifications.
- Owner‑linking and attribute enrichment to identify individual, corporate, and out‑of‑state property owners across the portfolio.
- Secure, role‑based access and FHIR‑compatible REST APIs for seamless export to existing EHR, ERP, or GIS systems.
- Mobile‑responsive portal and self‑service registration interface for landlords and citizens.
- Custom data‑modeling and predictive‑analytics consulting services to build city‑specific forecasting models.