Timper
Timper is an AI operating partner for real estate developers that automates feasibility studies and predicts whether a project will receive permits before capital is committed. The platform analyzes zoning constraints, local sentiment, and comparable permit decisions to deliver investment-grade memos in minutes rather than weeks. It is currently live in Belgium and Luxembourg.
- Property Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
Real estate developers face significant delays and high costs during project feasibility studies and permitting processes. Manual analysis of zoning laws, environmental constraints, and financial viability is time-consuming and prone to error, often leading to stalled projects and budget overruns. Permitting is the single largest obstacle to real estate investment in Europe, with €183 billion in capital frozen waiting for permits and each month of delay costing developers roughly 1% of acquisition value.
Solution
Timper delivers an AI-driven platform tailored for real estate developers that automates feasibility assessments and permitting workflows. The software aggregates parcel data, zoning codes, and regulatory requirements into a centralized system, then applies machine-learning models to flag risks and recommend optimal project parameters. Timper transforms the fragmented world of real estate into a single, machine-readable intelligence layer where every regulation, precedent, and parcel lives in one proprietary ontology, allowing AI to reason at scale. By reducing manual research and streamlining document preparation, Timper enables developers to evaluate land acquisition opportunities and move through approval stages with greater speed and confidence, delivering investment-grade feasibility memos in minutes instead of weeks.
Target Audience
Real estate developers, land acquisition teams, and urban planning consultants who need rapid, data-backed assessments of project viability and permit pathways, particularly those operating in European markets where permitting delays are a critical bottleneck.
Features
- Proprietary ontology that structures permitting rules, actors, and procedures, enabling LLMs to reason over regulatory constraints at scale
- Compounding dataset that sharpens predictions with every project run, incorporating permit precedents, zoning constraints, local sentiment, and discretionary patterns
- Automated feasibility analysis combining zoning, land-use, and financial data into a single investment-committee-ready report
- Predictive risk scoring for development sites based on historical approval patterns and regulatory constraints
- Developer-grade outputs with traceable sources, quantified risk, and explicit assumptions
- Platform covers any parcel, any municipality, and any project type, currently live in Belgium and Luxembourg