High-Performance Route Optimization API

Built for Developers

Powered by Google OR-Tools

Solve complex vehicle routing and optimization problems through a simple,
production-ready API.
No solver tuning. No infrastructure headaches.
Just fast, reliable optimization at scale.
algostack-h4

High-Performance and Reliable API Capabilities

The Or-Tools Route Optimizer leverages cutting edge algorithms to calculate the most optimized routes, ensuring accurate and reliable resultswith support for various constraints. It handles high-volume requests effortlessly

Optimization-as-a-Service for SaaS products

AlgoStack is a cloud-native OR-Tools optimization engine delivered as an API.
Instead of embedding OR-Tools, tuning heuristics, managing compute, and handling long-running jobs, you send structured JSON and get optimized routes back.
You focus on your product.
We handle the math, performance, and scaling.
  • Dispatch ready routes
  • Submit your routing problem.
  • Poll for progress.
  • Scales From 10 to 10,000 Stops
  • Receive optimized routes with full operational context.
  • Deterministic, scalable results
  • Dynamic Capacity Balancing
  • Traffic-Aware Routing (Optional)
  • Fail-Safe Distance Computation
  • +50 Hard & Soft Constraint Handling
  • Dedicated containers per customer
  • Asynchronous Job Processing
  • Optimized Task Sequencing
  • Metaheuristic Route Improvement
  • Scalable Time-Bound Solving
Starter
Basic
£ 130 Developer Sandbox
Dedicated Docker container (single-tenant)
1 vCPU · 1 GB RAM
200–300 stops per solve
REST API + async jobs
Shared distance matrix cache
Multi-vehicle VRP & TSP
Fast heuristic-based solving
Managed updates & monitoring
Task sequencing & prerequisites
Shared distance matrix cache
Pro
Premium
£ 250 Production API
Dedicated Docker container (single-tenant)
2 vCPU · 2 GB RAM
500–800 stops per solve
REST API + async jobs
Shared distance matrix cache
Multi-vehicle VRP & TSP
Fast heuristic-based solving
Managed updates & monitoring
Task sequencing & prerequisites
Dedicated cache namespace
Enterprise
Advance
£ 500 Optimization Platform
Dedicated compute node or cluster
4 vCPU · 4 GB RAM
1,000+ stops per solve
REST API + async jobs
Shared distance matrix cache
Multi-vehicle VRP & TSP
Fine-tuned heuristics & penalties
Managed updates & monitoring
Task sequencing & prerequisites
Private distance matrix cache
Optional VPC / private networking
Horizontal scaling (multiple containers)
Complex constraint graphs
Batch & chained optimizations
Custom API endpoints or payloads
Deployment per environment (dev/staging/prod)
Architecture & performance consulting

What You Can Build With AlgoStack

  • Route optimization SaaS

  • Delivery & dispatch systems

  • Field service scheduling

  • Last-mile logistics engines

  • Internal optimization microservices

  • AI-driven planning platforms

If your product needs routing, scheduling, or allocation, AlgoStack fits.

Why Not Just Use OR-Tools Directly?

Because OR-Tools is a solver, not a platform.

AlgoStack gives you:

  • Infrastructure

  • Async execution

  • Caching

  • Monitoring

  • Scaling

  • Production-safe defaults

Without sacrificing solver power or flexibility.

ALGO STACK

Built on Proven Optimization Technology

AlgoStack is powered by Google OR-Tools, the same optimization framework used internally at Google for solving some of the world’s hardest routing and scheduling problems.

We wrap it with:

  • A clean REST API

  • Async job execution

  • Dedicated Docker containers

  • Predictable performance guarantees

Designed for Developers & SaaS Teams

  • JSON-first API

  • Async job execution (submit → poll → result)

  • Deterministic solver behavior

  • Clear error states & diagnostics

  • Single-tenant containers (no noisy neighbors)

  • Versioned APIs for safe upgrades

No dashboards. No black boxes.
Just a solver that behaves like infrastructure.

Using Google OR-Tools, we deliver enterprise-grade optimization power through a simple, scalable API without the complexity of managing solvers, infrastructure, or tuning.