NayaTransit turns road video into an AI-assisted, iRAP-aligned road risk assessment that supports qualified road safety professionals — reducing the time spent collecting data in live traffic, and the manual effort behind every assessment.
Road Safety Assessments are required across key stages of many highway projects, but manual assessment capacity has not kept pace with expanding road networks.
A mission-driven Safe System innovator, combining global road safety practice with local context.
AI-assisted road risk assessments help identify and prioritise safety issues in days rather than months.
AI-generated findings are reviewed by qualified road safety professionals to ensure they are evidence-based and context-aware.
We adapt global good practice to local roads.
Built for LMICs and resource-constrained environments, in collaboration with road agencies, practitioners and communities.
Upload geotagged road video, or video with corresponding GPS data. No specialist survey vehicle or LiDAR required — compatible even with Google Street View.
AI extracts and pre-codes relevant visually observable iRAP attributes by road segment — including high-impact critical attributes.
A geo-referenced map displays detected attributes, potential safety issues and prioritised locations for review.
A qualified road safety professional reviews the AI-generated findings, applies expert judgement and identifies locations requiring targeted field verification.
Export an iRAP ViDA-compatible dataset and road risk assessment report for client review and further analysis.
The workflow reduces prolonged exposure to live traffic and automates hours of repetitive manual coding. We augment qualified safety professionals — we don't replace them.
Bars are indicative of relative scale, not to exact proportion. *Indicative estimates based on defined project scope and pilot workflows; actual time and cost savings vary by network size, data quality and validation requirements.
No LiDAR trucks. No new hardware to buy. NayaTransit reads the road footage you already have — and whatever the source, it resolves to one consistent, iRAP-aligned assessment. That's what finally makes assessing a broader network, not just a few flagship highways, affordable.
Computer vision and physics models apply the iRAP method consistently to every input — designed for mixed traffic and resource-constrained road environments.
iRAP provides a globally recognised, evidence-based methodology for assessing road infrastructure risk — referenced by WHO and aligned with UN global road safety targets. NayaTransit automates repetitive data extraction and coding tasks within an iRAP-aligned workflow, while retaining professional review and quality assurance — making systematic road assessment more accessible in resource-constrained environments.
Source: iRAP global programme metrics, December 2025.
How VLMs can automate iRAP road safety assessments at a fraction of the cost, making assessment feasible at scale.
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Read article →Pilot a single corridor or screen an entire state network. We'll co-scope it with you and deliver an iRAP-aligned road risk assessment you can act on.
