About JobRoute

We're building the measurement layer the AI workforce transition needs.

Founded in 2026 by the team behind QueryNow, an enterprise AI consulting firm that has been deploying AI into Fortune 500 organizations since 2014. We started JobRoute because our customers kept asking us the same question: what happens to our workforce when this capability lands?

The thesis

Every big technology shift produces two kinds of company.

Ones that build the thing. Ones that build the layer that lets society survive the thing.

For the last decade we have been building enterprise AI at QueryNow for pharma, finance, manufacturing, and healthcare. We have watched, from inside, how fast this capability is arriving and how little of the absorption infrastructure is being built alongside it.

In January 2026, Jamie Dimon said the quiet part out loud in front of Davos. The labor transition may go too fast for society. His prescription was phase it in, retrain, redeploy, income-assist. His audience nodded. Nobody asked who actually builds the system that makes those verbs executable.

JobRoute is the answer to that question. For workers, for employers, for the public agencies trying to run the programs. One route, three doors.

Origin

How we got here.

JobRoute didn't start as a SaaS idea. It started as the system QueryNow kept accidentally rebuilding for each Fortune 500 client who needed to understand what their AI deployment was going to do to their workforce. Eventually, it earned its own company.
2014
QueryNow founded
QueryNow founded in Dallas, Germany entity established same year. First Fortune 500 engagements begin.
2017–2024
Enterprise AI delivery
Enterprise AI delivery across Bayer, Takeda, Adidas, Rockwell Automation, Generac.
2025
The pattern becomes obvious
Every AI deployment starts with the same CHRO question: what happens to our people?
2026
JobRoute spins out
JobRoute spins out as its own company. Private beta launches. First enterprise and public sector design partners signing.
Co-founders

Built by a team that has shipped AI into Fortune 500 enterprises for a decade.

M
Co-founder & CEO

Mahesh Tatiparthy

Mahesh founded QueryNow in 2014 and has spent the last twelve years deploying enterprise AI into Fortune 500 organizations, including Bayer, Takeda, Adidas, Rockwell Automation, and Generac.

He is an active Charter Member of TiE Dallas, where he mentors high school and college entrepreneurs learning how to use AI to build the next generation of billion-dollar startups. He lives in Prosper, Texas, with his wife Chandana and son Arhan.

JobRoute is the product he wishes had existed in every enterprise AI engagement he has led. Built now because the labor transition no longer has a “later.”

V
Co-founder & CTO

Vinod Bhargavan

Vinod leads the technical architecture behind JobRoute: the data graph, the enrichment layer, and the infrastructure that keeps O*NET, ESCO, Lightcast, and Anthropic Economic Index data flowing through the platform in near real time.

Twenty-plus years in enterprise architecture, with the last eight focused on AI systems at scale. Based in Frankfurt, Germany, where he has led QueryNow’s European engineering practice since its founding.

Responsible for making sure the methodology on the site is not aspirational. Everything JobRoute publishes runs on systems he has built.

Clarity of stance

Here's what JobRoute is, and what it is not.

What JobRoute is

  • A measurement platform for the AI workforce transition, built on open workforce data
  • Transparent about methodology, sources, licenses, and known limitations
  • A system that serves workers, employers, and public agencies on the same underlying graph
  • Bootstrapped, founded by operators, and accountable to paying customers from day one
  • Serious about data handling, tenant isolation, and zero training on customer data

What JobRoute is not

  • A career coaching app, a resume builder, or a job board
  • A black-box scoring engine with hidden weights and unauditable claims
  • A data broker. Your workforce data is never sold, syndicated, or trained on
  • A tool to help companies justify layoffs. We exist to make redeployment executable, not smoother-sounding
  • An advocacy org. We build infrastructure. What you do with it is your decision
Principles

Three principles we keep coming back to.

01

Transparency is the product.

Every score we produce is built on open data you can audit. The methodology is public. The weights are published. The limitations are named. If a journalist, legislator, or procurement reviewer wants to trace a number, we can show them exactly how it was built.

02

Infrastructure, not opinion.

We don't take positions on universal basic income, labor policy, or which jobs should exist. We build the measurement layer that lets everyone else have that argument with real numbers. Infrastructure is the role. Opinions belong to our customers and to policymakers.

03

The individual matters as much as the enterprise.

AI Ready Score is free for individuals and always will be. Workers need independent exposure measurement that isn't filtered through their employer's HR department. The enterprise product subsidizes the worker product, not the other way around.

Want to talk?

Whether you're a worker curious about your score, a CHRO evaluating a vendor, a workforce board director looking for a design partner, or an investor, operator, or journalist with a hard question — we'd rather hear from you than not.