Route Optimization API
Generate dispatch-ready caregiver and transport routes in seconds, respecting patient time windows, caregiver shift hours, visit durations, and vehicle capacity — with support for 50+ hard and soft scheduling constraints.
Home healthcare providers face unique scheduling pressures — tightly timed patient visits, caregiver availability windows, and compliance requirements that standard routing tools simply can't handle. NextBillion.ai's Route Optimization API is purpose-built for NEMT and home health operations, enabling you to schedule more visits per shift, reduce drive time, and keep patients on time — all through a single, cost-predictable API integration.

End-to-end routing and scheduling APIs designed specifically for the operational complexity of home healthcare and NEMT providers.
Generate dispatch-ready caregiver and transport routes in seconds, respecting patient time windows, caregiver shift hours, visit durations, and vehicle capacity — with support for 50+ hard and soft scheduling constraints.
Instantly match caregivers or transport drivers to patient visits based on location familiarity, shift timing, driver preferences, and order priority — ensuring optimal pairing and improved patient experience.
Monitor every caregiver and transport vehicle in real time with sub-meter accuracy. Receive automated alerts for route deviations, delays, and missed geofence check-ins for patient arrival confirmation.
Provide turn-by-turn guidance tailored for healthcare transport vehicles, with real-time traffic awareness and departure-time routing to maximize on-time patient arrivals across scheduled visits.
Automatically push optimized routes from your scheduling system directly to caregiver mobile apps the moment planning is complete — eliminating manual handoffs and ensuring every driver has accurate, up-to-date instructions.
Rebuild complete, road-snapped trip records from GPS data for audit-ready proof-of-service documentation — a compliance requirement for NEMT, Medicaid billing, and healthcare transport regulations.
Home healthcare routing isn't just about shortest paths — it involves patient time-window compliance, caregiver skill matching, Medicaid mileage documentation, and HIPAA-sensitive data handling. NextBillion.ai's Route Optimization API handles 50+ operational constraints in a single call, so your platform can schedule more patient visits per caregiver shift, reduce deadhead miles, and generate the proof-of-service records that healthcare regulators and payers require. With per-vehicle pricing instead of per-call billing, seasonal demand spikes won't blow your budget.

See how healthcare and NEMT providers cut operational costs and improved patient on-time rates with NextBillion.ai.
Built by logistics technology veterans from Grab, our API platform is purpose-engineered for the compliance, scale, and cost-sensitivity demands of healthcare transport operations.
Handle patient time windows, caregiver shift hours, visit durations, and NEMT compliance rules in a single optimization call.
Per-vehicle and per-order pricing ensures seasonal demand spikes and re-optimization cycles never cause unexpected budget overruns.
Generate audit-ready, road-snapped proof-of-service trip records that satisfy Medicaid billing, NEMT, and healthcare transport regulatory requirements.
Access hands-on guidance from NextBillion.ai's solutions engineering team around the clock — from initial integration through ongoing production operations.
Experienced founders who built location intelligence at global scale.

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.
The API supports hard and soft time-window constraints per stop, meaning each patient visit can be assigned a strict arrival window that the optimizer will respect. Soft windows allow minor flexibility with a configurable penalty, while hard windows enforce strict compliance. Combined with caregiver shift hours and visit duration inputs, the system builds legally compliant schedules that honor patient appointment times across every route.
Talk to a NextBillion.ai solutions engineer for a free, no-obligation technical consultation tailored to your platform.
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