Choose a template
Start from a product idea, a generated prototype, or a known workload shape.
How It Works
Spendplane helps you decide what stays local, what uses cost-effective cloud capacity, and when premium assist delivers value. The workflow below shows how teams make these decisions before production spend starts.
How it works
Start with a clear plan, then add managed routing and controls only where they earn their place.
Start from a product idea, a generated prototype, or a known workload shape.
Estimate model, GPU, hosting, auth, storage, and job costs in one pass.
Choose how much local compute, budget cloud, and premium assist should contribute.
Keep the plan free, or turn on Hybrid routing and controls when the project needs them.
Ingress
Requests enter Spendplane with tenant policy, budget, and runtime context attached.
Policy
The proxy checks routing rules, privacy mode, helper lane, and execution profile before egress.
Execution
Spendplane chooses the local or cloud lane, records the decision, and keeps usage within plan.
Execution flow
Every request is evaluated against policy, privacy settings, and runtime capacity before Spendplane picks the final execution lane.
The planner analyzes your project requirements and creates a detailed execution profile with token budgets, model preferences, and routing policies based on analysis of thousands of past projects.
Every API request passes through our proxy. The proxy checks the execution profile, tracks token usage against budget, and enforces routing decisions in real-time.
The proxy automatically routes to cost-effective models when possible, switches to premium only when needed, and blocks when budget is exhausted. Your project stays on track and on budget.
Result: Projects can complete up to 20-40% faster while typically staying within 10% of estimated cost.
Estimate project cost, delivery time, and stack requirements before deciding whether to run through Spendplane.
Start from a prototype or a fresh project brief, then blend your current stack with efficient execution paths.
Model hosting, auth, database, queues, model usage, and GPU runtime instead of thinking about inference in isolation.
Estimate when local hardware can absorb background work and when cloud assist is worth paying for.
Get started
Get the plan first. Turn on Hybrid routing or team controls when the project is ready.
What happens next
Pick a template or bring a project outline
Choose the right local and cloud mix
Turn on Hybrid routing or Enterprise controls when you need them