Portfolio Spotlight: Citian — Scaling AI-Powered Roadway Safety
Nirman Ventures backed Citian as its first institutional investor when the company was at roughly $60,000 in ARR. As Citian approaches its three-year anniversary, it is nearing $10 million in ARR — a reflection of both the scale of the problem it is solving and the growing demand for AI-powered transportation infrastructure.
When we first met Citian, the company was still early in its commercial journey, but the underlying opportunity was already clear. Transportation agencies manage enormous physical infrastructure networks, yet many still rely on fragmented data, manual analysis and legacy tools to understand roadway safety and prioritize improvements.
Citian was building a different approach: using AI, geospatial data and digital twins to help transportation agencies identify risk, understand infrastructure conditions and make better decisions about where to invest.
Nirman became Citian’s first institutional investor at approximately $60,000 in annual recurring revenue. Nearly three years later, the company is approaching $10 million in ARR. The progress reinforces one of our core investing beliefs: some of the most valuable applications of AI will emerge not on screens, but inside the physical systems that cities, infrastructure owners and industries depend on every day.
The Problem Citian Solves
Traffic crashes devastate communities, killing approximately 43,000 vehicle occupants and 7,500 pedestrians annually in the U.S., with many more injured. Most incidents are avoidable, yet current roadway planning tools don't effectively help determine which improvement projects will have the highest safety impact for dollars spent. While incident data is generally accessible through police reports and GIS systems, existing toolkits have limitations and data formats vary inconsistently.
Technology and Data Opportunity
Billions of data points currently exist, with trillions more coming as sensors and cameras become ubiquitous in vehicles and alongside roads. By 2030, some areas may regulate automatic police downloads from incident-observing and involved vehicles, providing much richer data than traditional hand-written police reports. This creates an opportunity for modern AI tools to process vast amounts of data and provide actionable insights.
Citian's Solution
Citian offers two main products: CRASH (Crash reduction through Analysis of Safety Hazards) for identifying hotspots and suggesting mitigation measures, and ADAPT (Accessibility Design, Assessment, and Planning Tool) for improving ADA compliance and pedestrian safety. The company's unique approach covers the full project lifecycle: identifying hotspots, structuring mitigation measures, anticipating costs, and suggesting optimal deployment of tax dollars to save lives and reduce injuries.
Founder and Market Experience
Steven Houh spent the first half of his career as a civil engineer, joining Precision Systems Inc. in Washington, D.C. two decades ago, where he assumed leadership and grew the firm into a leading provider of road and intersection redesign services. What started as an internal project to build better analysis tools became interesting to other engineering firms and DOTs beyond the nation's capital.
Market Traction and Opportunity
Over 100 states, counties, and cities are now involved in demos and trials, with several dozen DOTs having signed on and more planning implementations in late 2023 and 2024. The market opportunity is significant: U.S. annual highway spending exceeded $250 billion in 2020, with the latest bipartisan infrastructure package providing $470 billion in fresh spending. The company estimates a $1 billion serviceable market opportunity based on approximately $3 per citizen in government spending on roadway improvement planning software.
Competitive Landscape
Existing solutions include ESRI (a 50-year-old GIS mapping giant with ~$1.5 billion annual sales) and Bentley Systems (a 40-year-old civil engineering platform with ~$1.2 billion annual sales). However, these legacy solutions provide incident tracking and construction planning but don't link how to configure interventions with problematic roadway areas - the missing linkage that Citian addresses.
Why Nirman Backed Citian
Our conviction in Citian was driven by three things: a large and persistent infrastructure problem, a founder with deep domain expertise, and an opportunity for AI to materially improve how transportation agencies make decisions.
At the time of our investment, Citian was still early commercially. What stood out was not current revenue, but the combination of proprietary technology, domain knowledge and a market increasingly ready for better data-driven tools.
The company’s growth from roughly $60,000 in ARR at the time of Nirman’s investment to nearly $10 million as it approaches its three-year anniversary is a strong example of the kind of early-stage opportunity we seek: deeply technical founders applying AI to large, underserved parts of the physical economy.
Citian also illustrates why Nirman focuses on industries such as infrastructure, construction, manufacturing and logistics. These markets are enormous, operationally complex and increasingly ready for technologies that can bring greater intelligence and autonomy into the real world.
