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NILG.AI

I want to automate my company

AI City Intelligence

Every address tells a story. Our AI reads it in the imagery.

Give us a location and the factors that matter to your business. We evaluate street-level imagery with AI and return a 0-100 index per factor, evidence in plain sight — from vegetation to sidewalks, recycling points to local commerce.

The demo

Try it with a real address

Pick the factors, give your work email and get the index right away. It is the same technology we apply to entire portfolios.

Your analysis

Street, door number or area. Wherever Street View reaches, we evaluate.

What to evaluate

Pick at least one factor.

How it works

From a question to an index, in four steps

1

Define your questions

Which areas have quality sidewalks? Where are the recycling points? Which streets are accessible? Every operation has its own questions.

2

Set the territory

One address, a neighborhood, a whole city or your asset portfolio — the scale is whatever your case needs.

3

AI evaluates the imagery

Vision models read street-level imagery and open data, scoring each factor with the evidence that supports it.

4

You get actionable indexes

0-100 scores per factor and location, aggregatable into maps and rankings that support real decisions.

Who it is for

The same question, asked of each business's territory

Wherever location drives value, cost or service, a micro-scale index changes the decision.

Real estate

Value entire portfolios with factors listing sites do not show: public space quality, surrounding greenery, pedestrian accessibility.

Utilities and waste

Optimize collection networks and service coverage: we detected obstacles for recycling trucks and proposed new container locations.

Public sector

Measure asymmetries between neighborhoods — accessibility, pedestrian infrastructure, urban environment — with visual evidence to prioritize investment.

Already in use

From the green index to wheelchair accessibility

This approach already produced the AI Green Index, the wheelchair accessibility index of the VoxPop project in Lisbon and the recycling collection optimization with Algar — which earned us the Data Changemaker of the Year award from DSPA and NOVA SBE.

Read the case studies

Funding

Project sheet

This product was developed under the "Vouchers para Startups — Novos Produtos Verdes e Digitais" measure of the Portuguese Recovery and Resilience Plan (PRR). The official project sheet below is kept in Portuguese, as filed with the program.

República Portuguesa · Plano de Recuperação e Resiliência · Financiado pela União Europeia — NextGenerationEU
Projeto
AI City Intelligence — Certificado Ambiental por endereço, apoiado por Inteligência Artificial
Entidade promotora
NILG.AI, LDA
Medida
Transição digital das empresas — "Vouchers para Startups — Novos Produtos Verdes e Digitais" (Aviso 2022-C16i02-10, PRR)
Descrição
Criação e desenvolvimento de um novo serviço digital — um software, com apoio de Inteligência Artificial — que produz um "Certificado Ambiental" para cada endereço, com uma pontuação [0-100] resultante da performance da morada em aspetos como o estado da vegetação envolvente, a distância a parques verdes, ecopontos e estações de bicicletas partilháveis, o estado dos passeios e estradas adjacentes e a tipologia de comércio e serviços nas imediações.
Objetivos
Desenvolver um novo serviço digital a partir de tecnologias como deep learning, artificial neural networks e visão por computador, usando as técnicas mais avançadas de inteligência artificial utilizadas em projetos deste género.
Resultados previstos
Um novo serviço digital com contributo positivo na transição climática, disponibilizado ao público na forma de SaaS.
Investimento total
30.000,00 €
Apoio financeiro PRR
30.000,00 €
View the official project sheet (PDF)

The next step

Tell us the questions you want to ask your territory

The model is SaaS: factors designed for your operation, analysis at the scale of your portfolio and integration with your systems. Talk to our sales team and build your index.