Market intelligence
Where fleet activity creates infrastructure demand—and what the operation requires.
About Radar Autonomy
The decision system for the ground autonomy needs.
Autonomous fleets can scale in software time. The infrastructure beneath them cannot. Radar helps teams find, diligence, and underwrite the depots that make fleet growth possible.
Software firstEvidence-backedFleet-neutral
From brief to decisionWorking product
InputFleet missionMarket · vehicles · timing · use case
OutputDecision-ready sitesEvidence · gates · economics · actions
Our mission
Make every autonomous-fleet infrastructure decision legible.
We are building the connective tissue between fleet demand and the physical world: land, power, permission, access, and cost.
The goal is simple: expose what can kill a site early, preserve the evidence that supports it, and help teams move from a market brief to a defensible decision.
The question we answerWhich site should this fleet pursue—and why?Not just a score. A sourced chain from evidence to action.
What the product does
From a market brief to a decision-ready site.
Radar connects market demand, property evidence, and operating constraints in one workflow—so teams can see the answer, the unknowns, and the next diligence step.
01
Source
Turn a fleet expansion brief into demand zones, operating constraints, and a focused market search.
02
Diligence
Screen real sites across land, power, permission, access, control, hazards, and fleet fit.
03
Underwrite
Compare cost, capacity, timing, operating fit, and unresolved risk in one decision record.
04
Decide
Deliver a shortlist, gate matrix, and sourced dossiers—then monitor the evidence that can change the call.
One system, four outputs
Candidate sourcing
Real parcels and facilities narrowed against a specific mission, not a generic property search.
Evidence-backed gates
Power, permission, control, access, site fit, risk, and economics kept distinct and inspectable.
Decision delivery
Comparable site dossiers, open questions, and next actions built for a real decision room.
Decision recordEvidence stays attributable
DecisionPursue · hold · reject
UnderwritingCost · capacity · schedule
Site gatesPower · permission · fleet fit
Source evidenceObserved · modeled · unavailable
Unknown stays unknown. Directional evidence never becomes a promise simply because it appears on a map.
Who we build for
Teams responsible for turning fleet growth into real infrastructure.
Fleet-infrastructure developers
Operating partners
Site acquisition + network planning
Real-estate + infrastructure teams
The four-phase plan
Begin with software. Earn the right to build.
Each phase starts only when the prior one produces repeatable evidence, committed customers, and credible economics. The sequence is a set of gates, not a promise to skip ahead.
01Current focus
Now · software first
Decision system
Build the market-to-site workflow: sourcing, evidence, underwriting, monitoring, and customer-ready delivery.
Gate to advance
Earned by repeat paid decisions and multi-market delivery.
02
Next · after product proof
Customer-backed development
Originate and develop depots only against committed customer demand, through separately financed project entities.
Gate to advance
Requires an anchor customer, site control, and a credible utility path.
03
Later · after repeat economics
Depot network
Scale a repeatable network of depot, charging, and operating infrastructure across the markets customers need.
Gate to advance
Requires contracted utilization and proven asset economics.
04
Long horizon · an earned option
Fleet coordination
Connect sites into charging, maintenance, scheduling, and fleet operations when the infrastructure layer is proven.
Gate to advance
Requires durable demand and a demonstrated operating advantage.
Where we are today
Radar is a software and decision company. We do not currently own land, construct depots, or operate fleets. Those later phases remain conditional on customer demand, data rights, and proven economics.
The founders
Two disciplines, one decision loop.
Product and data stay close to the customer, and commercial learning flows directly back into the system we build.
Co-founder · Product + Data
Ben Kassan
Penn Economics + machine learningLeads product, data systems, customer solution design, technical diligence, and delivery quality.
benkassan@radarautonomy.comCo-founder · Commercial + Operations
Andrew Bach
Emory Economics + real-estate backgroundLeads target accounts, partnerships, operator and regulatory intelligence, finance, and operations.
andrewbach@radarautonomy.comTogether
We lead discovery, proposals, decision workshops, and closing together—keeping what customers need connected to what the product can prove.
Build with us
Have a market or site decision in front of you?
Bring us the brief. We'll help make the ground truth visible.