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. It integrates with existing scheduling, TMS, and EHR platforms through REST APIs, so agencies do not have to rip out systems caregivers and office staff already know. The platform accounts for caregiver certifications, patient preferences, and shift boundaries alongside standard routing constraints, so schedules reflect the realities of care delivery, not just geography. Dispatchers keep visibility and manual override control while the system handles the underlying optimization and continuous re-sequencing as the day changes.

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. Agencies operating under Medicare, Medicaid, or private payer billing requirements also need documentation that holds up to audit, and scheduling systems that can flex when a caregiver calls in sick or a new referral arrives mid-shift. NextBillion.ai's APIs are designed to sit alongside existing scheduling and EHR systems rather than replace them, so agencies can adopt route optimization, dispatch automation, and geofenced visit verification incrementally, starting with the workflows that create the most drive-time waste or compliance risk today.

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
Ajay Bulusu is a co-founder of NextBillion.ai, bringing deep expertise in geospatial technology and large-scale location platform engineering. His journey began in 2017 as part of Grab's pioneering Geo team, where he helped build the location infrastructure underpinning one of Southeast Asia's largest mobility and logistics platforms. That experience revealed how critical — and how underserved — accurate, flexible location technology was for real-world operations. Driven by a mission to democratize sophisticated location intelligence, Ajay co-launched NextBillion.ai in 2020. Under his technical leadership, the platform has scaled to serve 150+ businesses globally, optimize over 10.9 million deliveries and field tasks, and deliver more than $11 million in documented cost savings to customers.

Co-Founder
Gaurav Bubna drives product innovation at NextBillion.ai, bringing a proven track record of building successful products from scratch across ride-hailing, food delivery, and logistics. Before co-founding NextBillion.ai, Gaurav held product leadership roles at Grab, Ola, and Morgan Stanley — organizations where location technology and operational efficiency are existential. His time on Grab's Geo team alongside Ajay and Shaolin crystallized the vision: logistics and field service businesses needed enterprise-grade location intelligence without prohibitive per-call pricing. Since launching NextBillion.ai in 2020, Gaurav has led the product evolution that has helped the platform navigate over 557 million miles and raise $34.25M in venture capital from investors including Lightspeed and Microsoft's M12.

Co-Founder
Shaolin Zheng is a co-founder of NextBillion.ai, contributing deep technical expertise in geospatial systems and scalable mapping infrastructure. Like his co-founders, Shaolin's formative experience building location technology for Grab's Geo team gave him firsthand insight into the operational gaps that generic mapping solutions leave unaddressed — particularly for field service and logistics businesses operating at scale. His engineering perspective shapes NextBillion.ai's core philosophy: location technology must be customizable, cost-predictable, and production-reliable. The platform he helped build now powers GPS tracking, route optimization, and field service intelligence for over 150 businesses worldwide, with on-premise deployment options and SOC 2 Type II and ISO/IEC 27001:2013 certifications ensuring enterprise-grade security.
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. For agencies operating under Medicaid waiver programs or private-duty contracts, consistent on-time arrivals also reduce missed-visit disputes and support cleaner documentation for payer audits, without requiring dispatchers to manually recalculate routes each time a schedule shifts.
Speak with a NextBillion.ai solutions engineer for a free consultation tailored to your agency's needs.
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