Match
Resolve a property’s jurisdictions, utility territory, and asset characteristics, then match it against every program in the database — federal through municipal.
Incentive intelligence, not consulting
Every incentive your property can claim, charted.
Incentive Navigator is the software layer for energy and green-building incentives. Federal, state, utility, and local programs — matched to the asset, checked against eligibility rules, and kept current as those rules move.
Sample outputRules current
One address in. Every program out.
Enter a property and Incentive Navigator resolves its jurisdictions, utility territory, and asset class, then returns the programs it qualifies for.
- Asset
- Office · 120,000 sf
- Jurisdiction
- Travis County, TX
- Utility territory
- Resolved
- Federal programs
- Matched
- State & local
- Matched
- Utility programs
- Matched
- Deadline watch
- Active
01 The problem
Incentives are public. Finding them is not.
Every level of government and nearly every utility runs its own incentive programs, on its own schedule, with its own eligibility language. There is no shared registry. Programs open, cap out, get amended, and quietly expire.
So the money that is genuinely available to a project is almost never the money that gets claimed. Not because anyone made a bad decision — because nobody could see the whole board.
We built the board.
02 What the platform does
Four things, done properly.
Qualify
Each match comes with the eligibility criteria in plain language, the documentation required, the filing window, and what disqualifies it. No guessing at intent.
Monitor
Programs change. Funds run dry. Deadlines move. Saved properties are re-evaluated continuously and you get told what changed and why it matters.
Integrate
Everything the interface can do, the API can do. Put incentive results directly inside the tool your team already works in.
03 Coverage
Four layers, one search.
Most tools cover one layer well and gesture at the rest. Incentive value compounds across layers, and eligibility for one program frequently depends on whether you took another. We model all four together.
Federal
Tax credits · deductions · grant programs
State
Energy offices · agencies · revolving funds
Utility
Electric · gas · water territory programs
Local
County · municipal · district incentives
04 How it works
Three steps, and none of them are a phone call.
1
Locate
Address or portfolio upload
Drop in a single address or a spreadsheet of them. The platform resolves each one to its real jurisdictional stack — state, county, city, utility territory — which is the part everyone gets wrong by hand.
2
Match
Eligibility, not keyword search
Programs are matched against the property’s attributes and the measures under consideration. You see what qualifies now, what would qualify with a change in scope, and what is out of reach.
3
Track
From shortlist to filed
Build a shortlist, assign owners, attach documentation, and watch deadlines. When a program amends its rules or exhausts its funding, the properties affected surface immediately.
05 Who uses it
Built for the people who actually run the numbers.
Owners & operators
Underwrite capital projects with incentive value included instead of discovered afterward.
Developers & GCs
Test how design and equipment decisions change what a project qualifies for, before drawings are locked.
Energy & sustainability teams
Turn a decarbonization roadmap into a funded one, and defend the assumptions in the model.
Platforms & lenders
Surface incentive eligibility inside your own product through the API, under your own brand.
The teamAustin, TX
- Jonathan Kanarek
- Chief Executive Officer
- Doug Herling
- Chief Development Officer
- Albert Swantner
- Chief Technology Officer
- Landon Forshage
- VP of Engineering
06 Who built it
A software team that has shipped in this exact mess before.
Between them, the founding team has scaled incentive and benefits data platforms, developed utility-scale renewable projects, and built the compliance-heavy systems that sit underneath regulated financial products.
That combination matters here. Incentive data is not hard because it is large. It is hard because it is inconsistent, jurisdictional, and constantly amended — which is an engineering problem before it is anything else.