Zeer Via / intent / via

Via

501-1000 employees·New York, United States·ridewithvia.com

Observed, not inferred · updated weekly

Buying intent

49 tracked signals | Top 15 topics are below | Engineering and Operations are carrying most of it.

29signals · 30 days
35topics tracked
30%attributed to a team

Attention by team

LinkedIn activity, by team

Where Via's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Hiring
Artificial Intelligence
Software Development
Software Developers
Career Development
Zero Trust
Engineering
Engineering to Hiring: no signal
Low25% of team Engineering to Artificial Intelligence: Low, 25% of this team's signals
Medium50% of team Engineering to Software Development: Medium, 50% of this team's signals
Low25% of team Engineering to Software Developers: Low, 25% of this team's signals
Engineering to Career Development: no signal
Engineering to Zero Trust: no signal
Operations
Low50% of team Operations to Hiring: Low, 50% of this team's signals
Low50% of team Operations to Artificial Intelligence: Low, 50% of this team's signals
Operations to Software Development: no signal
Operations to Software Developers: no signal
Operations to Career Development: no signal
Operations to Zero Trust: no signal
Others
High36% of team Others to Hiring: High, 36% of this team's signals
High29% of team Others to Artificial Intelligence: High, 29% of this team's signals
Low7% of team Others to Software Development: Low, 7% of this team's signals
Low7% of team Others to Software Developers: Low, 7% of this team's signals
Medium14% of team Others to Career Development: Medium, 14% of this team's signals
Low7% of team Others to Zero Trust: Low, 7% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Hiring
LinkedIn
High volume
94%
last
9d ago
Artificial Intelligence
LinkedIn
High volume
93%
last
2d ago
Software Development
LinkedIn
Medium volume
95%
last
17d ago
Software Developers
LinkedIn
Medium volume
94%
last
17d ago
Career Development
LinkedIn
Medium volume
98%
last
2d ago
Zero Trust
LinkedIn
Low volume
98%
last
17d ago
Life Insurance
LinkedIn
Low volume
98%
last
15d ago
Use Case
LinkedIn
Low volume
98%
last
4d ago
MBA Programs
LinkedIn
Low volume
92%
last
15d ago
Management Consulting
LinkedIn
Low volume
96%
last
14d ago
Claims Handling
LinkedIn
Low volume
96%
last
15d ago
Agentic AI System
LinkedIn
Low volume
98%
last
3d ago
Corporate Governance
LinkedIn
Low volume
98%
last
9d ago
Talent Management
LinkedIn
Low volume
98%
last
30d ago
Change Management
LinkedIn
Low volume
96%
last
11d ago

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Who's active at Via

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others14 active
researching Artificial Intelligence
in
researching Hiring
in
Senior ICresearching Public Private Partnerships
in
Directorresearching Railway transport
in
Principal, Global Public Relations
researching Business Case
in
researching Artificial Intelligence
in
researching Hiring
in
Implementer & QA Analyst
researching Talent Management
in
Principal Technical Recruiter
Leadershipresearching Agentic AI System
in
Associate Principal, Partner Success Italy
Directorresearching Real Estate
in
Expansion Principal
researching Change Management
in
+ 4 more in Others
Engineering5 active
Frontend Team Leader
researching Chicago, Illinois
in
Back End Developer
researching Trade-off
in
Data Engineer
researching Software Development
in
Engineering Fellow
researching Cloud Cost Optimization
in
qa team lead
Leadershipresearching Quality Engineering
in
+ 5 more in Engineering
Operations3 active
Field Operations Manager, Taas Ops
researching Digital Transformation
in
Senior Technical Program Manager
Senior ICresearching Hiring
in
Field Operations Manager
researching MBA Programs
in
+ 3 more in Operations
Marketing1 active
Principal, Brand Strategy & Marketing
researching Negotiation
in
+ 1 more in Marketing

See everyone, not just the first 10

23 people across every department at Via, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners in 30+ countries, Via is recognized as th

Top accounts researching Via

names withheld on the public page

These are companies whose own people brought up Via unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

66,174 companies · 318,882 people are researching Hiring

Via's own team shows 6 signals on this topic. No one outside Via has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Artificial Intelligence129,094 cos · 649,540 people
  • Software Development20,654 cos · 98,574 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Via.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Engineering — 4 people; Operations — 3 people; Leadership — 2 people; HR / Talent — 1 person; Marketing — 1 person

What's been said

public posts by Via's team

No public post naming Via has surfaced in the past year, so this is what Via's own team is posting about publicly — their topics, in their words.

LinkedIn

Tremendously excited by the amazing results our UK partners are achieving. It's been a privilege to be able to work alongside Transport for West Midlands and Worcestershire County Council over the last several years as they reimagine and reinvent how public transport is delivered.

May 2026
LinkedIn

Did you know that when put to the test with voters, ballot measures funding public transit have an incredible success rate? In 2024, voters approved more than 86% of them. Nashville and Columbus were two of the biggest that year, and we talk to leaders in both cities on this week's episode of ModeShift about how they got it done and what's next. Hear from COTA CEO Monica Tellez-Fowler , Columbus Council President Shannon Hardin , and Nashville's Sabrina Sussman (they stole her from DC!). Listen here: https://lnkd.in/e3bHkRmP

May 2026
LinkedIn

Between a return to local control of buses and the growing adoption of new tools to improve public transport, there's a lot happening in the U.K. I love this video featuring the teams at Transport for West Midlands and Worcestershire County Council who are excited about their growing patronage (that's ridership for those of you in the U.S.), more than tripling the amount of people serviced by public transport, and "going faster" to improve mobility for all.

May 2026
LinkedIn

I keep seeing the same blind spot in almost every team I audit lately. Everyone is scaling AI test generation. Coverage metrics look incredible. But when you look closely, the assertions don't actually test the business logic. Eduard Dubilyer just wrote a piece that perfectly captures this issue. He calls it the "hallucination blind spot." The AI generates tests that confidently pass, but they're measuring the wrong things entirely. There are two concepts he introduces that I'm already using with my clients: 1. Verification debt (which is quietly piling up while teams celebrate high coverage) 2. Assertion semantic density (to see if you're actually validating behavior or just checking structure) If you're starting to doubt the real protective value of your AI-generated test suite, this article hits the nail on the head. https://lnkd.in/dZVGmX76 #QAArchitecture #VerificationDebt #TestStrategy #AIinTesting #BehavioralTesting

May 2026
LinkedInArtificial Intelligence

𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗻𝗲𝘄𝘀 𝗳𝗼𝗿 𝗮𝗻𝘆𝗼𝗻𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗤𝗔 & 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝘄𝗼𝗿𝗹𝗱, 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝗿𝗮𝗲𝗹 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! My friend Nitzan Goldenberg is organizing a must-attend meetup, and trust me, you don't want to miss this one. 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: 𝗧𝗼𝗼𝗹𝘀 & 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 is coming on May 25th at LOOX Offices, Ramat Gan, and the lineup is 🔥: 🎤 My friend Alexander Komanov will be talking about "Almost free agents with Claude Code & Ollama" — a super hot topic right now. 🎤 Jack Raif (Yaakov Raif) & Ofir Blumental from Loox will walk us through "AI-Orchestrated QA". If you're asking yourself how to stay relevant in the age of AI-powered testing, this is exactly the place to be. Entry is free, but spots are limited — grab yours now 👉 https://lnkd.in/dXtKBbuD See you there! 🙌 #qa #testing #ai #genai #aitesting #automation #ollama #aiorchestratedQA #dev #devex

May 2026
LinkedIn

What struck me most about Mayor Paul TenHaken ’s story of fixing transit in Sioux Falls wasn’t how special his accomplishments are (growing ridership by 40%!), but how common these challenges are for cities across America. So many of our cities are just like Sioux Falls - stuck with transit systems designed for a different era. Despite the availability and proven success of the technology and approaches needed to transform these critical systems, there is still a hesitation to touch the “hairy problem” that is transit. Mayor TenHaken’s valuable leadership lessons in navigating and advocating for change are a topic that resonates with so many of the Mayors I speak with. Fixing transit can seem tough to tackle but, like access to water and electricity, it's an essential utility, and getting it right unlocks social and economic benefits for our communities.

Apr 2026
LinkedIn

42,000 downloads for #COMPaaS . 🚀 Still processing this one. What surprises me more than the number is the feedback that keeps coming in - every message, every review, every feature suggestion. People don't realize how much it shapes the direction we take. And that's exactly why we just released v1.6.0 🎉 This version makes COMPaaS more reliable and a lot clearer to use: 🔗 Unified connector health - so you always know what's working 🛡️ Safer verification behavior ✨ Polished Settings & Chat UX - faster, smoother setup Plus a long list of bug fixes and under-the-hood improvements based on what you've been telling us. And a lot more is on the way. Sooner than you think. 👀 If you haven't tried it yet - give it a shot and tell me what you think. The feedback from you is literally what's moving the product forward. Every idea, every bug, every "it would be nice if..." - I read all of it. Thank you to everyone who's been part of this journey so far. This is just the beginning. 🙏 Link in the first comment 👇

Apr 2026
LinkedIn

When you launch 3 new flavors, you make a surprise visit to your first retailer and sample them with the team 🤞🏻 Jimbo's in Athens, GA verdict 🥁... “They’re actually REALLY good!!” Who said electrolytes have to taste too sweet, too salty… or just plain gross? It’s 2026. Get with it. BIOLYTE tastes good and works better than anything out there. Strawberry Kiwi 🍓🥝 Orange Tangerine 🍊 Peach 🍑 Now hitting your favorite local spots - c-stores, pharmacies, and fitness studios - right where it all began! #LYTEitUp #Entrepreneur #BuyLocal #CompleteHydration

Apr 2026
LinkedInArtificial Intelligence

On April 28th we are hosting a webinar featuring the incredible York Region Transit ! Not only does YRT serve 50,000+ paratransit trips a month across 9 municipalities, they're constantly optimizing and innovating on their service delivery. Tune in to hear how they: ⏱️ Saved almost a week’s worth of hours on eligibility management with AI application scanning 🚙 Served 30% more rides without increasing their fleet using predictive supply recommendation tools 📱 Reduced “where’s my ride?” calls by 80% by offering a Caregiver App for trip tracking by caregivers and community centers Register here! https://lnkd.in/egk8R7mF

Apr 2026

About this data. Via (ridewithvia.com). Department attribution is 30%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries