Unlike one-time spot studies, we monitor intersections continuously to reveal seasonal patterns, measure before-and-after improvements, and detect emerging hazards before they result in crashes.
Professional data quality traffic engineers trust. Finally priced for operational budgets.
Temporary traffic counts go stale in weeks. Near-miss patterns compound over months. Continuous video-based monitoring captures every conflict, every violation, and every emerging risk.
Two weeks in May looks different from the holiday shopping season, spring break, or first week of school. Your data doesn't reflect the reality your intersections experience year-round.
Without continuous monitoring, you can't measure the impact of signal timing changes, new markings, or infrastructure improvements. Success becomes anecdotal, not evidence-based.
Traditional enterprise systems require 12-18 month procurement cycles. By the time you deploy, you're solving last year's problem with this year's budget.
You’re planning a $150K protected left-turn phase to address angle crashes. Standard methodology requires establishing baseline conditions—but your most recent spot study captured only two weeks of data, and by the time you complete construction, that baseline will be 18+ months old. You’re investing significant capital without the data infrastructure to prove it delivered results.
Establish 12 months of continuous baseline data before breaking ground. Monitor throughout construction to track changes. After opening, continue for 12 months to document the improvement. Present leadership with defensible evaluation: “We reduced left-turn conflicts by 60%, controlled for seasonal variation. Here’s 36 months of continuous data proving ROI.”
Twenty intersections need improvements. You have budget for five. Every location has stakeholders—neighborhood groups, council members, school districts. Without objective safety metrics that go beyond crash history, every decision becomes political. You choose based on the loudest voices or most recent incidents, not the locations with the highest actual risk.
Deploy monitoring across 20 candidate intersections for 90 days. Let conflict data reveal which locations have the highest baseline risk—independent of who’s complaining. “We monitored 20 intersections. This location ranks 14th in conflict severity. Prioritizing the top 5 will prevent more serious crashes with our limited budget.”
Residents petition for a traffic signal, claiming it’s dangerous. Standard traffic counts show volumes don’t meet MUTCD warrants, and crash history shows only 2 crashes in 5 years. Without quantitative safety data, you can’t determine if resident concerns reflect genuine risk or if resources would be better spent elsewhere.
Deploy monitoring for 60 days to quantify actual safety risk. If rates are low: “This intersection ranks in the lower half for conflict rates.” If rates are high: “Our analysis confirms residents’ concerns—conflict rates in the top 15%. We’re advocating for priority funding.”
You’re preparing an HSIP application requesting $750K for protected left-turn phases at five intersections. Grant reviewers will ask: Why these five locations specifically? Your crash data shows 3-5 crashes per location over five years—enough for eligibility, but dozens of competing applications cite similar crash histories.
Monitor 20-30 candidate intersections for 90 days: “We systematically assessed conflict patterns across 25 intersections and selected the top five based on volume-normalized severe conflict rates, not just crash history.” Include 150-200 high-severity conflicts. Your methodology becomes a competitive advantage.
Video-based AI trained on millions of traffic interactions. Every near-miss, speed violation, and red-light run detected with defensible precision you can cite in engineering reports.
Unlike sensor-only systems, every conflict event links to timestamped video. Review questionable detections, verify patterns, and provide visual proof to leadership and the public.
Platform suggests specific improvements based on FHWA Crash Modification Factors tailored to your intersection's observed conflicts. Actionable engineering guidance, not just raw data.
We provide and maintain all camera hardware. $1,000 one-time installation per intersection. After that, we handle all hardware maintenance and replacements. No ongoing equipment burden.
Zero facial recognition. Zero license plate storage. Detects vehicles, pedestrians, cyclists without identifying individuals. Meets municipal privacy requirements.
$300/month per intersection includes AI analytics, cloud hosting, data storage, software updates, technical support, and unlimited dashboard users. No capital expenditure required.
If you're a mid-size California city (25K-200K residents) where traffic safety competes with dozens of other priorities, Evry Signal is for you. We're designed for cities where one person often wears multiple hats.
Who must justify every safety improvement to city council with data, not just engineering judgment
Who need continuous data to prioritize which of 200+ intersections actually need intervention this year
Who face constant pressure to do more with less—and need affordable tools that deliver professional results
Who respond to citizen complaints and must balance competing budget priorities with ROI evidence
Traffic engineers in Southern California cities shouldn't need enterprise budgets to access continuous safety monitoring.
Test with 10 intersections for three months. Includes hardware, installation, analytics, and support. No risk—if you don't see value, we remove equipment at no cost.
Request Pilot Program| Vendor | Per Intersection/Year | 10 Intersections | CA Procurement |
|---|---|---|---|
| Miovision | $31,000 | $310,000 | Formal RFP (12-18 mo) |
| NoTraffic | $50,000 | $500,000 | Formal RFP (12-18 mo) |
| Evry Signal | $3,600 | $36,000 | Informal procedure |
We work with you to identify 10 intersections based on crash history, citizen complaints, or engineering priorities. Or we can analyze your network data to recommend the highest-risk locations.
We assess your existing cameras or install new ones. Installations complete within 1-2 weeks. You’ll have access to real-time data immediately after setup.
Track near-misses, speeding, and red-light running continuously. Identify patterns by time of day, day of week, and approach direction. Generate reports for internal review and council presentations.
Use our CMF-integrated recommendations to plan engineering improvements. If the pilot delivers value, continue at $300/month per intersection. If not, we remove equipment at no cost.
Expand to additional intersections as budget allows. Add new locations for $300/month + $1,000 one-time installation per intersection.
DOT policies now emphasize that projects must “demonstrate clear economic advantages before receiving federal support”. Near-miss monitoring provides exactly this evidence. When you can quantify 180 high-severity conflicts at an intersection over three months and project the cost of crashes prevented, you’re speaking the language of cost-benefit analysis that current grant reviewers prioritize.
Grant selection criteria explicitly reward applications that “include evidence-based projects or strategies”. Reviewers want to see quantitative evidence that your proposed interventions will reduce fatalities and serious injuries at the lowest cost per life saved.
Technology that was prohibitively expensive for most cities in 2020 is now accessible at operational budget price points in 2025. What required multiple consultant-led safety studies throughout the year—each costing $15K-$30K for just 2-4 weeks of data at a single intersection—can now be accomplished with professional-grade continuous monitoring for $36K annually across ten intersections.
With SS4A funding available through 2026 and California's HSIP program allocating hundreds of millions annually, the opportunity exists. The question is whether your city will compete with the same reactive crash data everyone else has, or with proactive conflict analysis that demonstrates both urgency and capability.
I’m Valeriu Balaban, and I built Evry Signal because I was frustrated.
For 11 years, I’ve worked in machine learning and computer vision, most recently as VP of Innovation at Street Simplified. I designed production ML pipelines that detect traffic safety events in real-time—near-misses, speeding, red-light running—from traffic camera feeds. The technology works. It’s powerful. It saves lives.
But here’s the problem: existing solutions cost $300K-$500K per year for 10 intersections. That’s $30K-$50K per intersection annually—pricing that locks out 95% of American cities. Small and mid-size cities face the same safety challenges as large metros, but they can’t access the same tools.
So I built Evry Signal to change that. Same proven technology, focused on what matters most. At $300/month per intersection, you get continuous monitoring of the safety metrics that actually help you win grants and save lives. We’re bootstrapped, which means we answer to our customers, not investors.
Every city deserves tools to make their streets safer. Not just the ones with the biggest budgets.
You've read about what Evry Signal does. Now let's discuss what it could do for your city.
I’m Valeriu, and I’ll personally work with you to identify your highest-priority intersections, design a pilot that fits your budget and timeline, and show you exactly what data you’ll get and how to use it.
Based in and launching first in Southern California, then expanding across California and North America.