Local Logic

Accueil
Canada
Montreal, QC
Local Logic

Local Logic is a leading location intelligence company whose mission is to improve every real estate decision. Local Logic is headquartered in Montreal, Quebec.

Local Logic is a location intelligence platform that digitizes the built world to make it universally understandable and actionable for consumers, investors, developers, and governments with the ambition of helping build cities that are more sustainable and equitable for the people that live in them. To achieve that dream, we’ve built proprietary insights on over 75Bn data points, that quantify the built world using data and AI. Our insights are used across the real estate vertical to inform decisions that impact the $217T real estate market throughout the US and Canada. The platform partners with commercial real estate, travel, and media companies, helping to guide individual projects and overall strategy for major developers and investors such as Ivanhoe Cambridge, Sonder, SmartCentres, and others.

10/22/2026

“Let’s go explore the neighborhood,” he said. The neighborhood was a highway.

Walkability: 2.6/10. Quiet: 1.3/10. Two numbers worth knowing before moving day.

Listings show you the house. Before you fall for it, ask your agent for the neighborhood scores and see what’s actually outside the front door.

Location matters.

10/20/2026

“Steps from a park,” the listing said. Technically, it’s a shrub on a median.

Parks: 1.7/10. The dog has notes.

Listing descriptions can say anything. Before you fall for the house, ask your agent for the neighborhood scores and see what’s really around the corner.

Location matters.

10/16/2026

They asked for lively. The neighborhood delivered.

Vibrant: 9.8/10. Quiet: 0.6/10. Both numbers were there before they moved in.

“Lively” means something different to everyone. Before you fall for the house, ask your agent for a lifestyle report and see how the street actually sounds, day and night.

Location matters.

10/14/2026

He just wanted a coffee.

Cafés: 1.7/10. A single number that would have saved him a mountain, an ocean, and many tears.

Before you fall for the kitchen, ask your agent what's outside the four walls. A Lifestyle Report shows what daily life looks like at any address: coffee, commute, parks, noise. Real data, from someone who knows the area.

Location matters.

10/06/2026

When someone looks at a home, they're also picturing their mornings there. The walk to coffee. The drive to work. The park down the street.

Starting today, agents on IDX Broker can show them exactly that.

We've partnered with Elm Street to bring Local Logic neighborhood insights to IDX Broker agent websites. US customers on the Engage and Elite plans get it included at no extra cost.

What agents get:

→ Local Content on every listing page: walk, transit, and drive scores, nearby schools, parks, and shops, plus a commute calculator. It's on by default, so there's nothing to set up.
→ Community pages for each neighborhood they serve, with an interactive map, top-scoring categories, and nearby schools.
→ Neighborhood widgets they can add to pages they already have, like their home page or About page.

Agents know their neighborhoods better than anyone. Until now, showing that on a website meant building it all themselves. Now the data appears automatically, and we keep it current.

It's the same data that powers 12,000+ real estate websites across the U.S. and Canada.

Full announcement: https://na3.hubs.ly/y0Fw_q0

09/23/2026

AI is very good at sounding like it knows a neighborhood. The harder part is being right.

That’s why we built the Local Logic MCP: to give any AI access to verified location data at the moment a question is asked.

Last week, we launched with 21 tools. Today, there are 24.

Three tools based on calculated commute times are now available to every MCP-enabled customer:
→ get_commute_time
→ get_commute_time_named
→ get_similar_neighborhoods_by_commute

Users don’t need to think in API calls. They can simply describe what they’re trying to accomplish:
💬 “I love Montreal’s Little Italy, but it’s out of budget. What’s similar, more affordable, and still within 30 minutes of downtown?”
💬 “Which grocery stores and cafés are within walking distance of this listing, and how long would my commute be?”
💬 “What are the quality-of-life scores for Ansley Park, and what does the neighborhood feel like?”

Behind each answer, the Local Logic MCP can combine calculated commute times with verified data on neighborhood similarity, affordability, quality of life, market conditions, and nearby places.

That grounding layer is what turns a fluent AI answer into one people can trust, especially in real estate, where invented local facts can shape one of the biggest decisions someone will make.

More MCP tools coming soon.

hashtag hashtag hashtag hashtag

09/02/2026

Ask 10 Bostonians to draw the North End, and you get 10 nearly identical shapes. Ask them to draw Hyde Park, and agreement falls below 75%.

There is no single correct definition of a neighborhood. Appraisers draw one line. MLSs draw another. Residents draw a third, and they are all right for what they need it for.

Most location data makes you pick one. We decided to carry all of them instead.
Our neighborhood boundary data now covers 486,187 named geographies across the US and Canada, including 364,462 in the US.

What that looks like on the ground:
➜ Metro Atlanta went from 331 neighborhoods to 15,183.
➜ Greater Boston went from 363 to 3,142.
➜ Franklin, Tennessee, a town most datasets treat as one dot, now has 161.

A single address in Franklin returns five nested geographies: neighborhood, city, postal code, district, county. Same API, same ID format, no migration.

A coordinate can sit inside several neighborhoods at once, and which one is correct depends entirely on who is asking. Our job was never to settle that argument. It was to make every answer measurable.

07/21/2026

A billion API calls in one month. Not one of them was about square footage.

In June, our API answered more than 1 billion calls in a single month for the first time. The success rate was over 99.99%.

A billion is hard to picture. So here is what those calls actually were.

A family narrowing down where to live, checking how far the nearest café, park, and school really are from a listing they liked.

An insurer pricing a policy, pulling the heat, flood, fire, storm, and drought risk tied to one specific address.

An agent walking into an open house with a branded report on the area: what's nearby, how the commute runs, what the market has been doing.

A homebuilder weighing whether a parcel is worth acquiring. A city planner studying access to transit and green space. A team teaching an AI model what a place is actually like to live in.

Every one of those calls is a question about a place. And behind almost every question is a person trying to make a decision that shapes their daily life.

That's the part the four walls never tell you. The commute. The coffee shop around the corner. The walk to school. We've spent years turning 100 billion raw data points into answers to those questions, for every address in the US and Canada.

A billion calls a month is the number. What it means is a billion better-informed decisions about where people live, invest, and build.

Here's to the next billion.

09/13/2024

🥁 We just launched our Insights Atlas and a sleek new website! 🥁

The Insights Atlas allows anyone to get deep, actionable insights into any city, neighborhood, or individual address across the US and Canada. With this new tool, users will be able to access and interact directly with our data on our new website: https://locallogic.info/4dZQHKp

Insights Atlas pulls neighborhood and city rankings, as well as address-level insights, from Local Logic’s 18 proprietary Location Scores APIs, Profiles APIs, Local SDKs, and Neighborhood SDKs. Since this information is crucial for macro-level research, we created a central location to gather these insights because, together, they tell the story of every neighborhood.

With over 15M monthly users across 8,000+ websites, we help people understand what’s in a location, who lives there, and why it is or isn’t the right place for an individual.

Our insights have provided home buyers, investors, local governments, urban planning firms, and others with the location-centric information needed to make sound purchasing decisions for years.

Now, with our new platform, accessing this data is easier than ever.

And we are happy to make it available to everyone — ungated and for unlimited use.

📍Check out the new Insights Atlas and let us know your thoughts! https://locallogic.info/4dZQHKp

05/01/2024

NeighborhoodMatch is now available! 💥

NeighborhoodMatch is an innovative solution that empowers homebuyers and brokerages to find neighborhoods that match users’ preferences.

This new tool enhances the homebuying experience by making it easier for consumers to discover new neighborhoods that share similar characteristics with the one they are viewing.

Key features of NeighborhoodMatch include:

🏘️ Matched neighborhoods and scores
Up to eight nearby neighborhoods that share similar characteristics based on Top Local Logic Scores

📈 Affordability Index
Indicates whether neighborhood home prices are within, above, or below budget, using reliable median sale price data

🌆 Neighborhood imagery
Customizable thumbnail images for each neighborhood to ensure accurate representations

🔗 Neighborhood filtering and linking
Ability to filter and link directly to listings, keeping potential buyers within the sales funnel

By integrating NeighborhoodMatch on their websites, brokerages can benefit from increased user engagement, visitor retention, SEO performance for neighborhood pages as well as enhanced lead generation quality, and recapture rates.

See how NeigborhoodMatch works:

Adresse

402-3510 St Laurent Boulevard
Montreal, QC
H2X2V2

Site Web

https://locallogic.co/

Notifications

Soyez le premier à savoir et laissez-nous vous envoyer un courriel lorsque Local Logic publie des nouvelles et des promotions. Votre adresse e-mail ne sera pas utilisée à d'autres fins, et vous pouvez vous désabonner à tout moment.