Venturis - Business Location Intelligence

Venturis is a self-reported location intelligence platform for founders and SMEs in London, built as a hackathon project by one person (Shakil Ahmed). It uses public datasets and geographic frameworks like H3 to calculate a "Venturis Opportunity Index" (VOI) that ranks areas based on competition, population, transport access, and local activity. The platform is described as a tool for comparing locations, inspecting evidence behind scores, evaluating postcodes, and building location briefs.

The author states that the project was built during a 2026 hackathon and is currently in early development. No revenue, customers or traction data are provided. The business model, pricing, and commercial viability remain unconfirmed. The single most important open question is whether Venturis can scale beyond its current prototype to become a viable product for SMEs and founders.

The description states that Venturis is a London-first location intelligence platform for founders and SMEs. It allows users to:

• Select business type, area of London, and customer/trading pattern
• Compare locations using competition, population, transport access, and local activity
• Evaluate areas through an H3 hexagonal grid system
• Use a structured scoring algorithm called the Venturis Opportunity Index (VOI)
• Inspect evidence behind each VOI score
• View nearby competitors
• Evaluate specific postcodes or addresses
• Save and compare locations
• Build shortlists for further investigation
• Produce structured location briefs

The platform is described as not predictive but rather a transparent comparison tool that helps users understand why one area may be more suitable than another.

The author claims Venturis helps founders and SMEs decide where to open, move or expand in London. It positions itself as an alternative to expensive market data used by large retailers, offering a tool for those with fewer resources.

The platform is described as:

• A location decision workspace
• A comparison tool, not a predictor
• Designed for non-experts (founders/business owners without GIS or data-analysis experience)
• A practical next-step helper

It also claims to be:

• Adaptable to different business types through algorithmic weighting
• Transparent in showing reasoning, source coverage and limitations behind recommendations

The description states that Venturis targets:

• Founders
• Small and medium-sized enterprises (SMEs)
• Users who are expected to make location decisions with fewer resources than large retailers

It also mentions that the platform is designed for first-time founders and established businesses, each with different needs:

• First-time founders may need help deciding where to begin looking
• Established companies may want to compare branches, identify gaps in their network, or explain expansion decisions

The ICP appears to be London-based entrepreneurs and SMEs who are looking for location intelligence without access to expensive market data.

Not evidenced. The description does not contain any information about:

• Revenue streams
• Pricing model
• Monetization strategy
• Customer acquisition costs
• Unit economics

The platform is built with:

• Backend: Python and FastAPI
• Frontend: JavaScript, HTML, CSS
• Mapping: MapLibre and deck.gl
• Geographic framework: H3 (hexagonal grid)
• Data sources: Public datasets from various providers including OpenStreetMap, Overture, etc.

Key technical elements include:

• Use of H3 hexagonal cells for consistent geographic comparison
• Structured scoring algorithm for VOI calculation
• Backend processing to clean, standardize and deduplicate public data
• Integration of multiple data sources with different formats and update schedules

Not evidenced. The description does not provide any information about:

• Revenue or monetization
• Customer base or adoption
• Usage metrics or engagement
• Product-market fit validation
• Product maturity or iteration history

The project is described as a hackathon submission and is in early development.

Not evidenced. The description does not contain any information about:

• Direct competitors
• Indirect substitutes
• Market size or growth trends
• Competitive advantages or differentiation
• Industry landscape or positioning relative to other location intelligence tools

• Single-person team: Only one developer (Shakil Ahmed) is mentioned, which raises concerns about scalability and execution capacity.
• Unverified claims: All information is self-reported without independent verification.
• No traction data: No evidence of users, customers or revenue.
• Limited scope: Currently focused only on London; expansion plans are described but not implemented.
• Data integration challenges: The author notes difficulties combining public datasets with different formats and update schedules.
• False precision risk: The platform explicitly states that high VOI scores do not guarantee business success, which may limit its perceived utility.

1. What specific data sources are being used for each signal (competition, population, transport, activity)?
2. How is the algorithmic weighting determined and adjusted for different business types?
3. What is the current level of accuracy or validation for the VOI scores?
4. Are there any partnerships with local authorities or data providers?
5. What is the plan for monetization and customer acquisition?
6. How does Venturis handle data privacy and compliance issues?
7. What are the key assumptions underlying the VOI calculation?
8. How will the platform evolve to support expansion beyond London?