Professional driver wearing FocusLane biosignal headgear

Brain-Life x Qualcomm Edge AI

Predict earlier. Intervene faster. Protect drivers at scale.

FocusLane is an edge-AI driver-safety platform that combines multimodal biosignals, low-latency on-device inference, and fleet analytics to detect fatigue risk before visible danger appears.

See how it works View traction

Driver stateFatigue risk rising

Medium alert

400+: pre-sold Brain-Life units
$60K+: pre-revenue traction
$900K: raised to date
Top 15: QVIC 2026

Partner and pilot pipeline

Qualcomm

GreenSM

EcoTruck

Phuong Trang

VietSol

THACO

Seeing Machines

Qualcomm

GreenSM

EcoTruck

Phuong Trang

VietSol

THACO

Seeing Machines

The market gap

Camera-only monitoring often sees fatigue after the body reveals it.

FocusLane adds an internal-state layer for professional fleets. Instead of waiting for visible drowsiness, it estimates risk from brain and body signals, then intervenes locally when milliseconds matter.

Visible signs arrive late

Camera systems usually react to eyelid closure, yawning, gaze, and head pose after fatigue is already visible.

Fatigue starts internally

FocusLane adds EEG, fNIRS, PPG, motion, and driving context to estimate fatigue risk before obvious symptoms.

Cloud alone is too fragile

Highways, tunnels, remote routes, and life-critical alerts need local inference that works when connectivity does not.

Driver using FocusLane in a vehicle cabin

From monitoring to protection

Designed for the routes where connectivity, vibration, and fatigue collide.

Long-haul buses, logistics trucks, taxis, and industrial transport all share the same safety challenge: the system must keep working when the driver is tired, the vehicle is moving, and the network is unreliable.

Long-distance busesLogistics trucksTaxi and ride-hailing fleetsIndustrial worker transport

Qualcomm Edge AI

Life-critical alerts belong on the edge.

In a vehicle, every 100 ms becomes meters of road. FocusLane moves inference closer to the driver so alerts can happen locally, even on remote routes or in tunnels.

Ultra-low latencyOn-device inference targets real-time driver-state prediction, with the deck showing an approximately 150 ms AI inference path.

Offline operationAlerts can continue on highways, remote routes, tunnels, and industrial routes where network quality varies.

Sensor fusionMultimodal biosignals combine with motion and driving context for a more resilient driver-risk layer.

Fleet scaleThe platform is designed for buses, logistics trucks, taxis, ride-hailing, and industrial transport.

BiosignalEEG / fNIRS / PPG

Fleet contextroute, motion, cabin

Local alertoffline capable

Intervention ready

Closed-loop safety system

Signals, context, intervention, and fleet learning in one loop.

Biosignal layer

EEG, fNIRS, PPG, motion, and driver context from Brain-Life hardware.

Edge AI inference

Local fatigue-risk prediction and personalized baseline adaptation.

Micro-intervention

Audio, LED, vibration, rest recommendation, and fleet dashboard flags.

Fleet analytics

Longitudinal tracking for coaching, compliance, and model improvement.

Audio / haptic

Micro-intervention

Audio, LED, or haptic alerts can help the driver recover before fatigue becomes obvious.

Pilot-ready product stack

Wearable sensing plus rugged edge hardware.

FocusLane adapts Brain-Life's biosignal wearable into a driver-safety configuration, then pairs it with Qualcomm-enabled edge processing and a fleet-management dashboard.

Edge safety loopSense. Infer. Alert.

Commercial model

B2B fleet first, then platform licensing.

The deck positions Vietnam professional fleets as the beachhead, with a path toward Southeast Asia expansion and future OEM or telematics platform licensing.

Device kitUS$250-400

Upfront hardware revenue per driver

Fleet SaaSUS$8-15 / driver / month

Recurring safety analytics

Enterprise dashboardUS$3K-20K / fleet / year

Fleet reporting and compliance

OEM licensingCase by case

Future Qualcomm-enabled platform scale

Traction and validation path

From QVIC prototype to fleet deployment.

Brain-Life has validated its neuro-AI wearable platform and is extending it into fleet safety through FocusLane, with partner engagement across taxi, logistics, coach fleet, automotive engineering, and DMS ecosystem players.

US$2Mseed / bridge target

3-5fleet case studies by H2 2027

US$18.9M2030 annual revenue target

Deployment roadmap

Milestones that de-risk technology, pilots, and scale.

Q3 2026Edge prototype + offline alert demo
Q4 2026200 pilot devices deployed or sold
H1 20274,000 additional devices
H2 20273-5 fleet case studies
202815,000 active drivers
203070,000 active drivers

Why Brain-Life wins

Neurotech IP, edge-AI integration, and Vietnam execution advantage.

Existing neuro-AI datasetSignal-processing IPQualcomm Edge AI integrationProprietary wearable platformFleet-safety beachheadVietnam manufacturing pathway

Leadership team

Built by a neurotechnology, edge-device, and business team.

Brain-Life's team combines neurotechnology, AI, business development, and hardware execution, with 20 members, 10 PhDs, 400+ publications, and 6 patents granted across the broader team.