Logistics software where seconds are a line item.
Routing, dispatch, and telematics platforms built by engineers who understand that a 200ms delay in a real-time system isn't a performance nitpick — it's a missed handoff.
Real-time isn't a buzzword here — it's the requirement.
In most software, "real-time" means "reasonably fast." In logistics and dispatch, it means a driver's location, a route recalculation, and a customer's delivery estimate all need to agree with each other within seconds, continuously, while moving. The gap between a system that's fast and one that's actually real-time is where most logistics platforms quietly underperform — stale map data, dispatch decisions made on three-minute-old positions, ETAs that drift further from reality the longer the route runs.
We build event-driven systems designed around that constraint from the start: streaming location data rather than polling it, routing engines that recompute incrementally instead of from scratch, and dispatch logic that degrades gracefully when connectivity drops — because in this vertical, the network will drop, and the system still has to make a reasonable decision.
Capabilities built for logistics & mobility.
Real-time dispatch
Multi-agent routing decisions made on live position data — with a fallback path when connectivity or GPS data is unreliable, not just when it's perfect.
Routing & telematics
Route optimization engines and vehicle telemetry pipelines that account for real-world constraints — traffic, vehicle capacity, driver hours — not idealized graphs.
Last-mile delivery
Delivery sequencing, proof-of-delivery capture, and customer-facing tracking built for the highest-variance leg of any supply chain.
Fleet & operations visibility
Live operational dashboards that give dispatch and ops teams the same picture at the same time — not a report generated an hour late.
Regulatory frameworks we build to
A route recalculated on stale data isn’t optimized — it’s confidently wrong.
What teams in logistics & mobility actually ask us.
Yes — we've integrated with telematics hardware and GPS providers across several fleet setups. Device data quality varies more than vendors advertise, so we build validation and gap-handling into the ingestion layer rather than assuming clean signal.
Graceful degradation is a design requirement, not an edge case, for us. That means caching last-known-good state, queuing updates for sync rather than dropping them, and giving dispatchers a clear signal when they're working with stale data instead of pretending the system is more certain than it is.
It depends on the workflow, and we'll be specific about it before we start — sub-second for live tracking pings, a few seconds for route recalculation, near-instant for dispatch handoffs. "Real-time" gets used loosely in this industry; we define the actual latency budget per use case so there's no ambiguity about what we're committing to.
Running logistics where delay has a cost?
Whether it's a dispatch system, a routing engine, or fleet visibility that needs to be trustworthy in real time — the first conversation is on us.