Route Optimization
Automatically generate optimized caregiver routes across dozens of patient visits, factoring in time windows, shift hours, visit durations, and vehicle constraints — producing dispatch-ready schedules in seconds.
Home healthcare agencies face a unique scheduling challenge: coordinating dozens of caregivers across scattered patient locations, tight visit windows, and compliance requirements that leave no room for error. NextBillion.ai's route planning software is purpose-built to help healthcare operations reduce drive time, ensure on-time caregiver arrivals, and scale visit capacity — without overhauling your existing systems.

End-to-end routing and scheduling tools purpose-built for home health agencies managing complex caregiver workflows.
Automatically generate optimized caregiver routes across dozens of patient visits, factoring in time windows, shift hours, visit durations, and vehicle constraints — producing dispatch-ready schedules in seconds.
Monitor every caregiver's real-time location, route adherence, and on-road progress from a single dashboard, enabling proactive intervention when schedules slip or emergencies arise.
Push optimized routes directly to caregiver mobile apps the moment planning is complete, eliminating manual phone calls, re-entry errors, and dispatch delays between the operations center and the field.
Intelligently match caregivers to patient visits based on location proximity, availability, shift timing, and patient preferences — ensuring optimal caregiver-patient pairing at every scheduling cycle.
Automatically log timestamped arrival and departure events at every patient location using geofencing, producing audit-ready proof-of-service records for billing, regulatory compliance, and SLA verification.
Segment patient populations into balanced geographic zones and assign caregiver territories based on actual drive-time reachability, ensuring equitable workloads and consistent service coverage across your entire network.
Home healthcare scheduling isn't a logistics problem — it's a care coordination problem with logistics consequences. NextBillion.ai's route planning software handles 50+ hard and soft constraints simultaneously: patient time windows, caregiver certifications, visit durations, shift boundaries, and compliance requirements. The result is a system that reduces caregiver drive time by eliminating inefficient schedules, helps agencies absorb sudden demand surges without missing visits, and gives operations teams real-time visibility to manage exceptions before they affect patient care.

See how home health agencies and medical transport providers have cut costs and improved patient outcomes with NextBillion.ai.
Built by logistics engineers who've solved routing at scale for global healthcare and mobility platforms, NextBillion.ai delivers enterprise-grade performance without enterprise-grade pricing.
Model complex real-world rules — caregiver certifications, patient time windows, shift limits — in a single optimization run.
Per-vehicle or per-visit pricing means demand spikes and re-optimization cycles never translate into runaway API bills.
Production-ready deployment in under a week with dedicated solutions engineering support from day one.
Audit-ready proof-of-service records and geofence-verified visit logs meet NEMT and home health regulatory documentation standards.
A founding team with deep roots in large-scale location technology and logistics.

Co-Founder
Gaurav Bubna is a Co-Founder of NextBillion.ai and leads product innovation across the platform. With a career spanning ride-hailing, food delivery, and enterprise logistics at industry-defining companies including Grab, Ola, and Morgan Stanley, Gaurav brings rare depth in building location intelligence products that solve real operational problems at scale. At NextBillion.ai, he has been instrumental in designing the constraint-rich route optimization engine and the API-first platform architecture that powers healthcare transport, NEMT, and home care scheduling operations globally. His conviction that sophisticated routing technology should be accessible and affordable to businesses of all sizes drives the product roadmap that has helped over 150 businesses deliver measurable cost savings and operational improvements.

Co-Founder
Ajay Bulusu is a Co-Founder of NextBillion.ai, where he leads the company's go-to-market strategy and enterprise customer partnerships. Ajay's work on Grab's Geo team revealed how profoundly location technology shapes operational efficiency and customer outcomes — and how poorly most existing platforms served businesses outside the consumer technology mainstream. That insight led directly to the founding of NextBillion.ai in 2020, with a mission to deliver enterprise-grade mapping and routing capabilities at accessible, predictable costs. His work with healthcare transport operators, NEMT providers, and field service organizations has shaped NextBillion.ai's deep support for compliance-sensitive, patient-facing scheduling workflows that demand both accuracy and reliability.

Co-Founder
Shaolin Zheng is a Co-Founder of NextBillion.ai and leads the company's core engineering and infrastructure. A veteran of Grab's Geo team, Shaolin brings world-class expertise in building high-throughput, low-latency mapping and routing systems that perform reliably under the demanding computational loads of commercial fleet operations. At NextBillion.ai, Shaolin has architected the platform's cloud-agnostic, on-premise-capable infrastructure — ensuring that healthcare organizations and NEMT providers with strict data residency and HIPAA-adjacent compliance requirements can deploy the full routing and scheduling stack within their own secure environments. Shaolin's engineering philosophy prioritizes system reliability, data integrity, and the sub-second response times that real-time caregiver dispatch and live ETA calculations require.
Route optimization software reduces the time caregivers spend driving between patient visits by automatically sequencing stops based on location proximity, visit time windows, shift hours, and caregiver availability. This means more patient visits completed per shift, lower fuel costs, reduced caregiver burnout, and consistent on-time arrivals — directly improving both operational efficiency and patient satisfaction.
Speak with a NextBillion.ai solutions engineer for a free consultation tailored to your agency's needs.
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