The operational brain for safety-critical fleets.
SAFERION is an AI-driven operational decision and resource optimization platform for safety-critical, time-sensitive environments — designed to predict demand, optimize resources, recommend actions, and enforce deterministic safety constraints.
Decisions made too late.
Dispatchers react to demand after it appears, instead of positioning resources before it does.
Systems that don't talk.
CAD, telematics, and fleet software each hold part of the picture — none of them the whole one.
No margin for error.
In emergency, hazmat, or cold-chain operations, a slow or wrong decision has consequences that a retry can't fix.
From operational data to the next best action.
Existing systems can show what is happening. SAFERION is designed to help operational teams determine what should happen next — while keeping people and hard safety constraints in control.
See demand before it peaks.
Model emerging demand and operational conditions to support proactive resource positioning.
Use constrained resources better.
Evaluate fleet and resource positioning continuously across changing operational conditions.
Recommend, don't silently automate.
Present ranked, explainable recommendations while human operators retain final authority.
One decision layer, four continuous stages.
SAFERION runs as a continuous loop, not a one-off calculation. Each stage feeds the next, in real time, for every unit in the fleet.
Forecast demand before it happens
A live digital twin of the operating area continuously models where and when demand is likely to emerge, using historical patterns, live conditions, and real-time signals from the field.
Rebalance the fleet ahead of need
A multi-agent reinforcement learning engine continuously re-evaluates the position of every vehicle and resource, recommending repositioning before a request even arrives.
Recommend, with a human in the loop
The system presents a ranked, explainable recommendation to the dispatcher — never a silent automated action. Operators retain final authority over every safety-relevant decision.
Enforce hard limits, deterministically
A deterministic safety gate — separate from the learning models — checks every recommendation against fixed operational and safety constraints before it ever reaches a crew.
Living operational film with voice.
Press Play for a continuous animated walkthrough: the system picks the fastest suitable ambulance by traffic and onboard equipment, protects coverage, then matches the nearest suitable hospital.
Press Play to start
Continuous motion + voice narration of dispatch, coverage protection, and nearest suitable hospital matching.
Built to integrate — not replace.
SAFERION is an API-first advisory and decision layer designed to sit alongside the systems already running your operation, not to rip and replace them.
Works with your existing stack
Integrates with any CAD system — legacy or modern — as well as telematics, ERP, and fleet management platforms through a standard API. No rip-and-replace required.
Deployed in your environment
Runs in the client's private cloud or on-premise infrastructure — your operational data never has to leave your control.
No external data dependency
The decision engine operates on your own operational data, with no reliance on third-party data sources to function.
Edge-capable enforcement
The safety gate can run at the edge, so critical checks hold even under intermittent connectivity.
Geotab-connected and designed for integration — without replacing the existing fleet stack.
SAFERION can use connected-fleet telemetry and operational state as inputs to its decision layer. A live Geotab demonstration environment is available for technical review and pilot discussions.
Built for critical fleets first — designed to extend further.
SAFERION's current focus is emergency and safety-critical dispatch. The same decision layer generalizes to any operation where positioning resources ahead of demand matters.
Emergency & critical fleets
EMS, cash-in-transit, hazmat response
Fleet & logistics
Delivery and last-mile routing at scale
Cold chain
Time- and temperature-sensitive transport
Ports, airports & cargo
Ground handling and yard resource flow
Disaster response
Resource staging ahead of unfolding events
Drones & autonomous ops
Fleet coordination beyond human dispatch
Smart cities
Shared-resource coordination across agencies
Your operation
Talk to us about a fit we haven't listed yet
TRL 5 today. Pilot validation next.
SAFERION has a working prototype ready for a first controlled pilot. The system has been validated through benchmark datasets and multi-incident scenarios (TRL 5). We are prepared to integrate with any CAD system — legacy or new — via API, and to run a pilot alongside existing operational workflows with zero disruption.
SAFERION combines multi-agent AI, mathematical optimization, a real-time operational Digital Twin, predictive prelocation and relocation, post-dispatch rebalancing, and a deterministic rule-based safety layer. The operating principle is: AI proposes → optimization evaluates → deterministic constraints control → human operators remain in authority.
NYC EMS & Fire
NYC open emergency-response records used in the online MVP for high-density operational stress testing, replay analysis, and resource-optimization scenarios.
San Francisco (SF)
San Francisco emergency-response data used to broaden scenario validation beyond a single operating environment.
NEMSIS
NEMSIS data used as an additional EMS benchmark source for testing operational decision and resource-optimization scenarios.
OpenStreetMap
Spatial road-network data used to support routing, Digital Twin reconstruction, and operational scenario testing.
Multi-incident surge
Representative scenarios used to test demand pressure, resource positioning and post-dispatch rebalancing.
Current stage: prototype ready for first pilot. Validated on NYC EMS & Fire, San Francisco, and NEMSIS datasets. SAFERION can integrate with any CAD system (legacy or new) via API and is prepared for a controlled pilot with operational partners and connected-fleet hardware.
A structured path from data to measurable operational value.
SAFERION is designed to begin with a controlled, low-disruption validation rather than a rip-and-replace deployment.
Connect
Map the relevant operational, fleet and spatial data sources.
Reconstruct
Build a Digital Twin representation of the operating environment.
Baseline
Measure current operating performance and identify high-impact segments.
Replay & Optimize
Run SAFERION recommendations against historical or representative scenarios.
Controlled Validation
Compare recommendations and outcomes against the agreed baseline and safety constraints.
Commercial Assessment
Translate measurable operational impact into a pilot-to-contract business case.
Live connected-fleet demo: Review the SAFERION Geotab demonstration environment used for technical validation and pilot discussions.
View Geotab DemoEmergency response is the beachhead. The architecture is broader.
SAFERION is initially focused on emergency and public-safety fleet operations, while the underlying decision layer is designed for other safety-critical and resource-constrained environments.
EMS & Public Safety
Emergency medical services, fire/rescue and other time-critical response fleets.
Fleet & Logistics
Resource positioning, routing and operational rebalancing for complex fleets.
Cold Chain
Time-sensitive transport where resource availability and route decisions matter.
Ports, Airports & Cargo
Constrained ground-resource coordination across complex operating environments.
Disaster Response
Proactive staging and rebalancing as demand patterns evolve.
Drones & Autonomous Operations
Decision support for coordinated multi-vehicle and autonomous resource operations.
Smart Cities
Shared-resource coordination across connected city operations.
Strategic Integrations
Technology, platform and channel partnerships that extend the operational decision layer.
From emergency call to the right ambulance — with less documentation burden.
In collaboration with Corti, emergency-call audio and dispatcher speech can be transformed into structured operational intelligence: severity scoring, unit matching inputs, and a speech-to-SOAP clinical note that travels with the patient to the receiving hospital.
Emergency call intake
Call audio and dispatcher dialogue are captured as the incident unfolds.
Severity & intent
AI extracts key clinical and operational signals and estimates urgency / acuity.
Best-fit ambulance
SAFERION uses severity + equipment + traffic-aware ETA to select the fastest suitable unit under the Safety Gate.
Speech → SOAP note
Dispatcher description becomes a structured SOAP-style clinical summary — without manual form filling mid-call.
Hospital pre-alert
The structured note and acuity travel to the nearest suitable hospital so the emergency team can prepare before arrival.
Less manual documentation
Reduces the need for dispatchers to type full case notes during high-stress calls — speech becomes structured data.
Faster patient pathway
Earlier severity and hospital pre-alert shorten the time from call to a ready receiving team.
Lower operational burnout
Supports dispatchers and field crews by cutting repetitive data entry while keeping humans in authority.
Strategic partners accelerating SAFERION.
We collaborate with specialized organizations across Europe and the United States to validate, integrate, and scale the platform.
EGEDA Academy Germany
European innovation and academy partner supporting knowledge transfer, clinical perspective, and market pathway development.
FirstWave Strategies
U.S. public-safety commercialization partner focused on field adoption, pilot pathways, and go-to-market support for SAFERION.
CraftCrew Company
Operational and field-services partner contributing real-world deployment insight and collaboration on pilot readiness.
Corti
Healthcare AI partner for emergency-call understanding, severity signals, and speech-to-SOAP documentation that feeds SAFERION unit selection and hospital pre-alert.
Explore a technical integration, pilot, or strategic partnership.
We work with a small number of strategic partners at a time. We welcome conversations around technical integration, controlled pilots, commercialization partnerships, and strategic investment.