Set the procurement brief
Set the model family, approved sources, all-in budget, SLA, throughput, commercial terms, and fallback requirements.
Set the model, source, all-in price, SLA, capacity, and fallback requirements. The AI Procurement Agent compares eligible options and prepares one approved path.

Set the model family, source, all-in price, SLA, throughput, commercial, and fallback requirements. QuotaFlow finds eligible supply, compares the trade-offs, and gives your team one purchase path to approve.
Set the model family, approved sources, all-in budget, SLA, throughput, commercial terms, and fallback requirements.
Check direct, cloud, contract, and qualified partner routes against the requirements before comparing offers.
Make price, availability, capacity, latency, and terms comparable on like-for-like purchase paths.
Keep the brief and comparison evidence attached to one approved path, with eligible alternatives visible.
See each requirement move from a current purchase route to an eligible option with the trade-offs made explicit.
Keep the buying team focused on the decision. The agent turns one procurement brief into comparable supply, then retains the evidence from each review for the next one.
Start a commercial comparison whenever a buying decision appears. Your team does not need to build a separate provider-research process.
The agent groups similar requirements, checks eligibility, and compares the relevant offers first so sourcing moves faster.
Evidence from similar requirements compounds into clearer eligible-supply comparisons and a stronger procurement policy.
Set the purchasing standard. QuotaFlow runs the qualification and comparison loop around your existing approval process.
Give the agent the model, source, price, SLA, capacity, commercial, and fallback requirements that matter.
Start from a purchase question, or let the agent flag a material cost, capacity, or availability change worth comparing.
Similar requirement reviews improve which supply paths are compared next and keep the approval policy grounded in evidence.
On most production workloads, open source LLMs now match closed source on quality, at a fraction of the cost. On some, they're the strongest available choice.
GLM 5.2 (max) Scores within 90 Elo points of Claude Opus 4.8 (max) while costing 65% less.
Lower-cost eligible route Pro (max) Scores ~60 Elo points above Gemini 3.5 Flash while costing over 98% less.
A fraction of the cost to run. Auditable weights. No behaviour changes overnight, no surprise deprecations under your stack.
The most demanding reasoning, complex agent orchestration, and computer use. For most other production work, open source is the right default, and the right place to start.
Pick a workload and a monthly token volume. We'll substitute the closed source model you're using today with an equivalent open source model on Runware, and show the monthly saving at your scale.
Comparison against the equivalent closed source model billed direct from the provider. Real Runware list prices, blended across a representative input/output mix for the selected workload.
Share the model, commercial, reliability, and capacity requirements you already have. The agent returns comparable options and the evidence behind one recommendation.
Your criteria stay in control. Nothing moves without approval.
Start a procurement brief