Buy the right AI
without managing every provider.

Set the model, source, all-in price, SLA, capacity, and fallback requirements. The AI Procurement Agent compares eligible options and prepares one approved path.

Requirements
Qualified supply
Commercial comparison
Approved path
Abstract flow from qualified AI supply through verification into an approved purchase path
AI PROCUREMENT AGENT

Set the brief. Compare the supply. Approve one 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.

01

Set the procurement brief

Set the model family, approved sources, all-in budget, SLA, throughput, commercial terms, and fallback requirements.

02

Verify eligible supply

Check direct, cloud, contract, and qualified partner routes against the requirements before comparing offers.

03

Compare the commercial path

Make price, availability, capacity, latency, and terms comparable on like-for-like purchase paths.

04

Approve one route

Keep the brief and comparison evidence attached to one approved path, with eligible alternatives visible.

Different offers. One approved purchase path.

See each requirement move from a current purchase route to an eligible option with the trade-offs made explicit.

Before · current purchase routeAfter · eligible purchase path
Model family
Claude Sonnet
Model family
Qualified Claude route
Model fit · source verified
Service requirement
GPT-5
Service requirement
SLA-backed Gemini route
SLA · capacity confirmed
Commercial requirement
Claude Sonnet
Commercial requirement
Lower-cost eligible route
All-in terms · compared
Fallback requirement
GPT-5
Fallback requirement
Approved fallback route
Fallback · approved
WHY USE THE PROCUREMENT AGENT

Set the brief once. Let every comparison compound.

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.

Compare on demand. Build nothing new.

Start a commercial comparison whenever a buying decision appears. Your team does not need to build a separate provider-research process.

Automate qualification on the fly

The agent groups similar requirements, checks eligibility, and compares the relevant offers first so sourcing moves faster.

Let each decision make the next one clearer

Evidence from similar requirements compounds into clearer eligible-supply comparisons and a stronger procurement policy.

How the agent works

Set the purchasing standard. QuotaFlow runs the qualification and comparison loop around your existing approval process.

  1. 1
    Set the brief

    Give the agent the model, source, price, SLA, capacity, commercial, and fallback requirements that matter.

  2. 2
    Compare when it matters

    Start from a purchase question, or let the agent flag a material cost, capacity, or availability change worth comparing.

  3. 3
    Compound the procurement evidence

    Similar requirement reviews improve which supply paths are compared next and keep the approval policy grounded in evidence.

Why choose OSS

Open source has closed the gap.

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.

358B MoE with interleaved thinking. Scores 73.8% on SWE-bench Verified at a fraction of closed source pricing.

DeepSeek-V4-Pro
deepseek:v4@pro

Flagship V4 model with a native 1M token context window, dual thinking modes, and up to 384K output tokens. Built for long-context reasoning and agentic workflows at scale.

Kimi K2.6

Top open source option for multimodal agents. Image and video understanding alongside long-horizon software tasks.

MiniMax M2.7
minimax:m2.7@0

Long-context agentic coding tuned for production tool use. Holds quality at high throughput.

Intelligence vs cost
Same intelligence band. A fraction of the cost.
Open sourceClosed source

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.

Side by side
Scores and pricing
Open source
DeepSeek-V4-Flash-0731~98x cheaper
deepseek:v4@flash
79.0$0.15
Closed source
Gemini 3.1 Pro
google:[email protected]
87.9$12
Claude Opus 4.7
anthropic:[email protected]
87.6$25
GPT-5.5
openai:[email protected]
85.1$30
Claude Sonnet 4.6
anthropic:[email protected]
80.8$15
What open source buys you

A fraction of the cost to run. Auditable weights. No behaviour changes overnight, no surprise deprecations under your stack.

When closed source still wins

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.

LLM API pricing

What the agent evaluates before recommending a purchase.

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.

Full LLM pricing
Use case
Monthly volume50M tokens
1M10M100M1B

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.

Monthly · 50M tokens
Qualified purchase path
DeepSeek-V4-Pro on Runware
$58/mo
Current direct path
GPT-5.5 direct
$501/mo
Monthly saving
$443· 88% less
Built for production

AI procurement built for demanding products.

Custom inference hardware

Open source LLMs run on the Sonic Inference Engine, tuned end-to-end for high-throughput inference.

OpenAI-compatible LLM API

Drop-in replacement. Change the base URL and the API key.

Reasoning-model support

Native handling of internal reasoning channels. Streaming compatible with OpenAI's SSE format.

Multi-modal context

One Runware account also covers image, video, audio and 3D through the native API. No extra signup, no separate billing.

Consistent under load

Predictable behaviour as traffic ramps. No mystery degradation when usage doubles.

Enterprise SLAs

99.99% uptime tiers, dedicated capacity, committed-use rates. Available on request.

Security

Your purchasing criteria stay yours.

No training on customer data

Prompts and outputs are never used to train any model.

Encrypted in transit and at rest

TLS 1.3 in transit, encrypted storage for any retained data.

Tenant isolation

Inference runs in isolated execution contexts.

Zero data retention option

Available on enterprise. Requests processed in memory, discarded on completion.

GDPR-ready

EU data handling available on request. SOC 2 certified.

FAQ

It turns your model, source, price, SLA, capacity, and fallback requirements into a comparable set of eligible purchase paths — then prepares one clear recommendation.

Get one approved AI purchase path.

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