Research Automation Platform

AI research agents for municipal sales teams

Run structured research across thousands of cities in minutes—not weeks.

A research automation platform for public-sector sales, policy, and consulting teams that need consistent answers across large sets of municipalities.

Thousands of cities
Structured datasets
Minutes, not weeks
Research Results
Processing
CityPolicy StatusLast Updated
Austin, TXAdopted2024
Denver, COIn Progress2024
Portland, ORAdopted2023
Seattle, WAUnder Review2024
San Jose, CAAdopted2024
Showing 5 of 2,847 results
HOW IT WORKS

Three simple steps to structured insights

01

Select Your Cities

Choose from our database or upload your own list of municipalities you want to research.

02

Choose Your Questions

Select from pre-built research templates or create your own custom questions to answer.

03

Receive Structured Data

Get a complete dataset—one row per city, one column per question—ready for analysis.

WHO THIS IS FOR

Built for teams that need answers across many cities

Public-Sector Sales

Sales teams at infrastructure, energy, and technology companies targeting municipal buyers.

Policy & Research Analysts

Consulting firms producing multi-city policy, grant, or infrastructure analysis for clients.

Climate & Housing Orgs

Climate, housing, transportation, and public-health organizations tracking municipal progress.

Infrastructure Teams

Mobility, broadband, and energy transition teams monitoring city readiness and opportunities.

Bottom line: If your team executes repetitive research tasks across hundreds or thousands of cities, this platform is designed for you.

THE PROBLEM

There is no reliable way to generate custom municipal intelligence at scale

Organizations that work with cities rarely need generic data. They need specific answers to custom research questions.

Which cities have adopted a policy related to ___?

Which municipalities meet the eligibility criteria for this grant?

Which cities purchased ___ in the last five years?

Which jurisdictions have upcoming initiatives related to ___?

The challenge isn't just the number of sources

Answering these questions requires information from many different public sources—policies, grants, procurement records, capital plans, meeting minutes, regulatory filings, and more.

It's that none of the available tools return the exact slice of information teams actually need.

When teams rely on generic data, they end up with:

Large datasets full of irrelevant entries
Inconsistent formats across cities
Missing context
Significant noise and very little usable signal

How is this better than the alternatives?

Manual Research

Teams go directly to primary sources to extract information according to custom research plans.

High-quality results but slow, labor-intensive, expensive, and not scalable across many cities.

Aggregated Portals

Portals centralize certain datasets, but no single platform covers all required domains.

Data structures are fixed, so analysts still must reshape and merge multiple sources to match their research plan.

AI Chat Tools

LLMs can analyze one city deeply or perform simple enrichment across a list.

Cannot perform deep, multi-source research across hundreds of cities without going one by one. Also labor intensive.

The result: Teams end up combing through different portals, documents, and manual workflows—creating one-off spreadsheets that are time-consuming to build, difficult to maintain, and hard to repeat.

THE SOLUTION

Custom municipal intelligence—without the manual research

Organizations often need specific answers about what's happening across many cities. But getting those answers requires gathering information from multiple sources and assembling it into usable form.

Our platform automates that process.

You choose the cities you want to analyze and the questions you need answered. The system runs those research tasks across the entire list and returns consistent, structured results.

It gives you the kind of custom municipal intelligence that normally requires hours of analyst work—delivered in minutes.

What We Built

A Municipal Research Automation Engine that applies predefined research templates to any list of cities.

You define:
  • The cities you want to study
  • The research templates you want to run
The platform delivers:
  • A structured dataset
  • One row per city
  • One column per research question
THE WORKFLOW

A simple workflow that mirrors how researchers already work—just faster

1

Select your cities

Filter from our database or upload your own list.

2

Choose your research templates

Pick the questions you want answered and provide any parameters (topic, timeframe, program type).

3

Run research at scale

The system applies each template across the full list and gathers results from relevant public sources.

4

Get a structured dataset

A complete table of answers—organized, consistent, and ready for analysis.

5

Explore or export

Sort, filter, run simple analyses, or export as CSV for further use.

WHY THIS IS DIFFERENT

Other platforms give you data.We give you answers.

Other Platforms

Portals aggregate information, but they rarely align with the specific questions your team needs to answer. LLM chat tools can analyze one city or summarize one document, but they cannot perform deep, multi-source research across many cities at once.

Our Platform

Runs custom research tasks across large lists of cities and returns structured answers—not generic datasets. It combines the flexibility of manual research with the scale and repeatability of automation.

THE VALUE

What this means for your team

Scale Expertise Across the Organization

Encode your best analysts' research methods into reusable templates so every team member produces consistent, high-quality results across any list of cities.

Reduce Manual Research Work

Automate the repetitive tasks—finding sources, extracting details, and structuring data—so teams can focus on interpretation instead of collection.

Expand Coverage Without Expanding Headcount

Apply the same research plan to dozens or hundreds of cities at once, updating results instantly without adding staff or increasing workload.

WHO BENEFITS MOST

Teams getting the most value

1

Municipal Sales & Government Relations Teams

Teams prioritizing cities for outreach based on policy activity and funding signals.

2

Consulting Firms Covering Municipal Research

Firms producing multi-city policy, grant, or infrastructure analysis for clients.

3

Foundations & Nonprofit Organizations

Groups tracking municipal progress on specific programs, policies, or funding areas.

FAQ

Frequently Asked Questions

What types of research templates are available?

We offer pre-built templates for policy actions, grants, procurement history, infrastructure signals, capital plans, and more. You can also create custom research questions tailored to your specific needs.

How many cities can I research at once?

There's no practical limit. Our platform is designed to run structured research across hundreds or thousands of cities simultaneously, returning consistent results in minutes.

What data sources do you use?

We gather information from many public sources including policies, grants, procurement records, capital plans, meeting minutes, regulatory filings, and more—automatically structured into usable datasets.

How is this different from ChatGPT or other AI tools?

General AI chat tools can analyze one city deeply or perform simple enrichment across a list, but they cannot perform deep, multi-source research across many cities at once. Our platform is purpose-built for municipal research at scale.

Can I upload my own list of cities?

Yes. You can either select cities from our comprehensive database or upload your own custom list. The system will run your chosen research templates across whatever cities you specify.

What format do I get the results in?

Results are delivered as structured datasets—one row per city, one column per research question. You can explore results in the platform, run simple analyses, or export as CSV for further use.

Stop doing municipal research the hard way.

Start getting structured answers at scale.

Run custom research across any list of cities—instantly, consistently, and without manual effort.