Select Your Route Profile

Preparing Route...
Loading

Let's Talk

Interested in SureRoad? We'd love to hear from you.

hello@sureroad.com
🌅 Dawn ✓
đźš— Rush Hour âś“
🌙 Nighttime ✓

AI-Native Navigation For Real

Navigation that actually understands you, your vehicle, and the roads you drive on

SureRoad
iOS TestFlight + CarPlay
•
Built for Enthusiast and Specialty Vehicles
Active
Sports Cars Vintage Cars GT Cars Oversized 4x4
Coming Soon
RVs Campers Trailers Motorcycles
What Do You Drive
Navigation In Route
Route Preview
Step 1

Create Your Profile

Tell SureRoad about your vehicle and driving preferences.

  • Our AI uses our in-house built Road Intelligence Engine with comprehensive, real-time road knowledge to:
    • Calculate every unique constraint for your vehicle and driving style, creating a road profile tailored to you
    • Generate a purpose-built map for each profile that marks all relevant roads
  • Switch between profiles instantly for different vehicles
Copilot Setup
Profile Selection
Step 2

Build Your Route

Search any destination and let SureRoad craft your perfect route.

  • Our AI instructs our in-house built routing system to weigh every road based on your profile's custom map
  • Can factor in lane width, surface quality, clearances, visibility, traffic demographics, or whatever else your vehicle and situation require
  • Generates the optimal route specifically for your profile
  • Works seamlessly on iPhone and CarPlay
Search
Route Creation
Step 3

Preview Your Route

Before you drive, see exactly what your route entails.

  • Complete breakdown of road conditions as they pertain to your routing profile
  • Potential challenges and hazards are identified and carefully explained upfront
  • Full transparency on how the route aligns with your preferences
Route Preview
Route Summary
Step 4

Fine-Tune Every Detail

  • Avoid specific roads or even entire regions (such as NYC or Manhattan)
  • Change route characteristics on the fly — shorter route, specific ETA, more backroads, detours through particular roads, and more
  • AI instantly recalculates and regenerates your route
Select Section
1 Select Section
Choose Alternative
2 Choose Alternative
Preview Change
3 Preview Change
Confirm
4 Confirm Route

See It In Action

Try our interactive demo to experience how SureRoad creates a custom map for your profile.

1/4 Driver â–Ľ
1 Driver
2 Profile
3 Map
4 Ready
1/4 â–Ľ
1 Driver
2 Profile
3 Map
4 Ready
Selected Vehicle
|

Choose a profile to start the demo

> _
Hummer H1

The Weekend Trail Cruiser

Hummer H1

> _
Porsche Cayman 718

The Backroad Enthusiast

Porsche Cayman 718

> _
Aston Martin Vanquish

The Scenic GT Driver

Aston Martin Vanquish

Swipe to browse

Your Route is Ready

Your personalized road network has been created. Every route you take will now be optimized for your vehicle and preferences.

Experience SureRoad Navigation on CarPlay

CarPlay Route Preview showing your personalized navigation

Maps Generated On-Demand To Solve Problems

Traditional Maps

Static Layers

Pre-computed layers. Limited user segmentation. Can only display predefined criteria to users.

VS
SureRoad

Generated Layers

Our Road Intelligence Engine interprets relationships between descriptive data, roads, spaces and more to deliver precise insights tailored to your specific needs.

Watch the Intelligence Engine In Action

We asked our engine to find, match, and visualize all significant repaving events in New Canaan, Connecticut since 2020. Here's how it works.

Query

Find and show me all the roads that have been repaved in the town of New Canaan since 2020

Recursive Search

The engine searches multiple authoritative sources—town DPW records, CTDOT announcements, utility company filings—using iterative queries to find all repaving events.

Precision Matching

Each event is matched to exact road segments using mileposts, cross streets, pavement width, lane counts, and guardrail presence—any detail that adds match confidence.

Visual Mapping

Matched segments are rendered on the map with color-coded overlays showing project type, contractor, and completion status at a glance.

Built for AI from the Ground Up

Our road database is engineered specifically to be queryable by AI. Every route is properly named, indexed precisely by mileposts, with no overlapping route lines or conflicting data. This clean architecture means an AI can work through the network with clear instructions—no ambiguity, no confusion, just precise answers.

New Canaan overview showing all 8 matched repaving projects
1
Full Scope Discovery

8 Separate Projects Found Across Multiple Sources

The engine searched town DPW records, CTDOT announcements, and Aquarion utility filings—then matched each event to exact road segments. What would take a human 30 minutes of cross-referencing happened in seconds—and unlike a spreadsheet, this data is now queryable, visualizable, and connected to the road network.

Projects Identified
3 CTDOT State Route Projects
Routes 106 & 124 • ~4.8 miles total
93% avg
3 Town Municipal Projects
Elm St, Millport Ave, Pine St
87% avg
2 Utility-Related Repaving
Brushy Ridge Rd, River St • Aquarion
85% avg
Oenoke Ridge Route 124 repaving detail
2
Precision Matching

Route 124 Oenoke Ridge: Matched to Exact Mileposts

The source said "Oenoke Ridge from Lambert Road to Lukes Wood Road." The engine cross-referenced our base network to find the exact mileposts: MP 6.24 to MP 8.47—a 2.23-mile segment.

The engine used cross-street lookups to confirm: Lambert Rd intersects at MP 6.24, Lukes Wood Rd at MP 8.47. This precision lets us know exactly which portion of your route has fresh pavement.

Match Details
Route 124-N • MP 6.24 – 8.47
CTDOT Milling & Paving • Completed 2024
95%
Downtown New Canaan showing Elm Street, Pine Street, and local projects
3
Multi-Source Intelligence

Downtown: Different Contractors, Different Statuses

The engine distinguishes between completed town projects (Elm St), ongoing reconstruction (Pine St with brick sidewalks), and state routes—each from different sources with different completion dates.

Downtown Projects
Elm Street – Milled & Paved
Town Project • Full extent • Completed
85%
Pine Street – Reconstruction
Brick sidewalks, granite curbing • Ongoing
85%
Millport Ave (Lakeview to Main)
Sidewalk + Repaving • 0.28 mi
90%

Pine Street is flagged as ongoing (2025)—the engine tracks project status so you know what's still under construction vs. completed.

Deep Dive

Narrowing Project Scope with Descriptive Data

A CTDOT press release mentions guardrail improvements along a large section of Route 37. But where will the actual lane closures happen? The engine uses our descriptive data to pinpoint the exact zones.

Input

CTDOT Press Release

"Metal Beam Guiderail Upgrade" project on Route 37 with lane closures expected

Cross-Reference

Descriptive Data Analysis

Query shoulder widths, median types, barrier presence, lane counts across the route

Output

3 Precise Impact Zones

Instead of the entire route, only these specific segments will see construction

Route 37 guardrail project overview showing full scope
Full Project Scope
Route 37 Overview

The press release covers a large stretch of Route 37. But guardrail work can only happen where guardrails exist or are needed.

Section with existing metal beam barrier identified
Confirmed Barrier
MP 2.23 – 2.45: Metal Beam Guardrail

Median type = "Barrier" in our data. Wider shoulders (4-6 ft) with proper guardrail installation. This section will see upgrade work.

Section with narrow shoulders indicating cable guardrail
Narrow Shoulder Zones
MP 0.5 – 0.87: Cable/Wire Guardrail Likely

5-lane road with only 1 ft shoulders? That's guardrail-constrained. These sections likely have cable guardrails being upgraded to metal beam.

The Key Insight

A wide state route with no shoulder at all strongly indicates some kind of barrier system. Combine that with median type data, and we can identify exactly which segments will be impacted—turning a vague "Route 37 construction" announcement into 3 specific zones that actually affect your drive.

A Self-Improving System

This is a recursive, self-improving process. Every piece of data that gets matched and added to our intelligence layer becomes additional context for future matches. The more the engine learns about New Canaan's road network—mileposts, cross-street patterns, typical project scopes—the more accurately it can match new events. More data in → better matches out.

Routing Profiles

How Our AI Generates Maps for Routing Profiles

Watch how our Road Intelligence Engine reasons through our data to generate and build custom elements.

Aston Martin Vanquish Profile

Unfinished Utility Work

For a grand tourer with a carbon fiber front splitter, unfinished road surfaces from utility work can cause expensive damage. Here's how the AI calculated this layer:

AI Reasoning

Query the Road Intelligence Engine for all utility work performed on roads in Passaic, Morris, and Bergen counties in the past two years

Cross-reference each affected road segment to check if it has been repaved since the utility work

Mark all roads that haven't been repaved as "pavement potentially includes unfinished roadwork scars"

Map showing utility work areas that have not been repaved
Layer Result: 12 road segments flagged
Unfinished Construction
Hummer H1 Profile

Blind Merge Spots

The Hummer H1's large A-pillars create significant blind spots. Combined with its 86" width, certain intersections become challenging. Here's how the AI calculated this layer:

AI Reasoning

Find all roads with at most two lanes and narrow lane width (10 feet or less) with no shoulder

Filter to roads that approach their intersection at a right angle or sharp curve where visibility side-to-side would be challenging

Mark spots where a large vehicle like the H1 cannot peek into the merge before fully committing

Map showing blind merge spots identified for Hummer H1
Layer Result: 18 blind approaches identified
Blind Approaches

The Difference

Traditional maps cannot interpret requests and process them this way. They can only display predefined criteria. SureRoad's Road Intelligence Engine reasons through relationships between road attributes, historical data, and vehicle specifications to generate layers that have never existed before - on demand, for each user.

The Autonomous Future

Traditional mapping and navigation fails specialty vehicles today. It will also fail the autonomous future. AVs need more than what they can see - they need deep road intelligence to anticipate what's beyond the sensor range.

What AVs Can't See Coming

Garbage Day Patterns

Sensors can't predict which streets will have garbage trucks blocking lanes on Tuesday mornings.

Flood-Prone Routes

After heavy rain, certain underpasses flood every time - but there's no sign until it's too late.

Snow Plow Priorities

Some roads get plowed first, others wait for hours. No sensor can know a municipality's plow schedule.

SureRoad's Road Intelligence Engine

Our AI doesn't just map roads - it understands them. Deep intelligence about conditions, patterns, temporal events, and contextual relationships gives AVs the foresight their sensors can't provide.

Pattern recognition across historical road events
Municipal schedules, seasonal conditions, recurring hazards
Real-time data integration with predictive context
Vehicle-specific route optimization at scale
Road Intelligence Engine

Building for the Future

The same intelligence engine that powers personalized navigation for specialty vehicles today will power the autonomous fleets of tomorrow. We're building the road understanding layer that AVs will need.

Enterprise Solutions Coming Soon

Let's Talk

Interested in SureRoad? We'd love to hear from you.

hello@sureroad.com
Scroll