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
Gaurav Bubna drives product innovation at NextBillion.ai, bringing deep expertise built across some of the world's most demanding logistics and mobility environments. Before co-founding NextBillion.ai, Gaurav built successful products from the ground up at Grab, Ola, and Morgan Stanley — spanning ride-hailing, food delivery, and financial logistics platforms. His firsthand experience solving the toughest routing and location intelligence problems at scale is reflected in every aspect of the NextBillion.ai platform. For home healthcare providers, Gaurav's product vision translates into a routing API that genuinely understands the operational complexity of time-sensitive patient visits, caregiver scheduling constraints, and healthcare compliance demands — delivering solutions that are powerful, flexible, and cost-predictable for growing healthcare technology platforms.

Co-Founder
Ajay Bulusu is a co-founder of NextBillion.ai, where he brings together deep technical expertise in geospatial systems and a passion for making enterprise-grade location intelligence accessible and affordable. Ajay's journey began at Grab's Geo team, where he and his co-founders saw firsthand how transformative — and how costly — robust location technology could be. That experience became the catalyst for NextBillion.ai: a platform built to give healthcare transport, NEMT, and field service operators the same routing sophistication used by global logistics giants, at a pricing model that makes economic sense. Under Ajay's technical leadership, NextBillion.ai has delivered over $11 million in documented cost savings to customers across 150+ businesses worldwide.

Co-Founder
Shaolin Zheng co-founded NextBillion.ai alongside Ajay Bulusu and Gaurav Bubna following their collaborative work on Grab's Geo team, where the three built the location technology infrastructure powering one of Southeast Asia's largest on-demand platforms. Shaolin's engineering background and vision for scalable, enterprise-ready APIs form the backbone of NextBillion.ai's high-throughput, low-latency routing infrastructure. For home healthcare technology builders, Shaolin's architectural decisions translate directly into routing APIs that remain reliable under peak scheduling load, support on-premise deployment for HIPAA-sensitive data environments, and deliver sub-second response times even as patient visit volumes scale across large caregiver networks.
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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