Our redistricting consulting services run the gamut from mapmaking to map evaluation services to redistricting policy.

​Our state-of-the-art, proprietary FastMap computer algorithm generates maps of congressional, state legislative, and local districts with surgical precision.  We show you what is possible and what is not possible for the election districts in your state or locality.  Click here to contact us.

There are trillions upon trillions of ways to divide up a state, but only a tiny fraction have the features you need.  Using our advanced computer algorithm, we generate redistricting alternatives that strike an optimal balance among the features that are important to you.  Maps created by our algorithm also reduce the possibility of lawsuits based on an intent to manipulate the lines because humans are not involved in detailed line-drawing decisions.  Unlike a human, our algorithm can be programmed to completely ignore racial data, election data, municipal boundaries, county boundaries, or any other data that must be ignored to comply with a court order.  Click here to contact us.

All of our maps meet legal requirements for...

• Nesting of state house districts within state senate districts (if applicable)
• District population equality
• The Voting Rights Act (including majority-minority districts)
• District contiguity

Each map optimizes one or more of the following depending on your preferences:

• Political fairness/unfairness
• District compactness
• District competitiveness
• Keeping counties intact
• Keeping municipalities intact
• Keeping communities of interest intact
• ​Keeping voting precincts/wards intact
  
• Population deviation (beyond legal requirements)
• Similarity to current map (i.e., core retention)
• Staggered-senate-term disenfranchisement (if applicable)
• Minimizing incumbent pairings
• Protecting incumbents

Redistricting is a once-a-decade task of immense complexity.  Most states have more than 100,000 census blocks, each needing to be assigned to a district, and the mapmaker's goal is to achieve an optimal balance among the 16 criteria above.

There are more ways to divide a state into districts than atoms in the universe, so redistricting is essentially an infinitely challenging mathematical optimization problem.  This places redistricting squarely in the AI realm.  But common AI techniques like machine learning (ML) are unsuitable for redistricting because they cannot handle strict mathematical requirements like population equality and district contiguity.  Instead, a different kind of AI technique - mathematical optimization (MO) - is needed.  MO is a time-tested AI technique with a decades-long history of success in the private sector for tasks such as airline scheduling, factory machine scheduling, warehouse operations management, and employee staffing, but its application to political redistricting is very recent.

Our FastMap computer algorithm uses state-of-the-art MO principles to take the guesswork out of the redistricting process.  We give you a set of computer-generated maps that better meet your requirements than any manually created map.

Humans will always make the final redistricting decisions.  Our FastMap algorithm allows them to choose from numerous outstanding options instead of a few mediocre ones that are manually created.  Click here to contact us.