Powered by quantum computing and intelligent multi-provider routing. Route across 69+ AI providers. Save 40-70% on AI costs. Zero code changes.
Works with the tools you already use
38 platforms across 10+ regions
Every optimization runs through our quantum annealing simulator to find mathematically optimal task assignments across your entire agent team.
Formulates your workflow as a Constrained Quadratic Model and solves it with simulated quantum annealing.
Full workflow optimization in under 100 milliseconds. Your agents are re-routed before a human blinks.
Eliminates redundant agent calls, parallelizes independent tasks, and routes to the most cost-effective capable model.
One endpoint. Any MCP agent framework. Connect QNNEAL to any MCP-compatible agent framework in a single config line.
OAuth 2.0 with PKCE, mTLS between services, AES-256 encryption at rest, enterprise compliance ready.
Horizontally scalable microservices on Kubernetes. Built for enterprise-grade traffic from day one.
Connect your agent team, click optimize, and watch quantum annealing do the rest.
Add one line to your MCP config or install our SDK. QNNEAL discovers your agent team and workflow structure automatically.
"mcpServers": {
"qnneal": {
"url": "https://api.qnneal.ai/mcp"
}
}Our agentic optimizer autonomously analyzes your workflow costs, scores task complexity, and routes each task to the most cost-effective model across all your providers.
→ Parse Workflow DAG 0.2s → Score Task Complexity 0.1s → Multi-Provider Routing 0.3s → Re-route Agents 0.1s ✓ Optimized in 0.7s
Our AI agent continuously optimizes routing as prices and performance change across providers. Token costs drop. Execution time shrinks.
Token Reduction: 58% Speed Improvement: 2.1x Cost Saved: $12.40 Agents Re-routed: 12/12
Enter your current monthly AI spend and see your projected savings with QNNEAL's 67% average cost reduction.
No credit card required. Free tier includes 20 optimizations/month.
See how teams across industries are saving with quantum-optimized AI routing.
Multi-agent trading analysis pipeline — switched from $18K/mo on GPT-4 to $6.3K/mo with mixed routing across 8 providers.
Clinical document processing went from 3 providers with manual switching to 12 providers with automatic routing and failover.
Code generation SaaS moved from single-model Claude to dynamic model selection — costs dropped 72% with no quality loss.
Research paper analysis went from $2.1K/mo with slow turnaround to $1.1K/mo and 2.3x faster processing.
* Results based on platform benchmarks and simulated workloads. Individual results may vary.
Drop-in integrations for the most popular AI frameworks. One API key, every provider, zero vendor lock-in.
Custom chat model for chains, agents, and RAG pipelines
from qnneal import QNNEALChatModel llm = QNNEALChatModel(model="gpt-4o")
Custom LLM for query engines, indices, and data connectors
from qnneal import QNNEALLLM llm = QNNEALLLM(model="gpt-4o")
Edge-compatible provider for useChat and useCompletion hooks
const qnneal = createOpenAICompatible({
baseURL: 'https://api.qnneal.com/v1'
})LLM wrapper for multi-agent task orchestration
from qnneal import QNNEALLLM agent = Agent(llm=QNNEALLLM())
Model client for Microsoft AutoGen conversations
assistant.register_model_client( model_client_cls=QNNEALModelClient )
AI connector for Microsoft SK plugins and planners
kernel.add_service( QNNEALChatCompletion(service_id="qnneal") )
65+ providers · 350+ models · 6 framework integrations · 10 SDK languages
Paste any prompt. QNNEAL evaluates multiple providers in parallel and picks the best value.
Every plan includes the full quantum optimization engine. Pay only for what you use.
Try QNNEAL with basic classical optimization.
For individual developers and small projects.
For teams running production agent workflows.
For organizations at scale with dedicated infrastructure.
Prices in USD. Local currency applied at checkout.
"QNNEAL cut our agent workflow costs by 43% in the first week. The one-click optimization is not a gimmick — it genuinely works."
"We run 200+ agents across CrewAI and AutoGen. QNNEAL's MCP integration took 5 minutes to set up and immediately started saving us $8K/month."
"The Super Optimize mode found parallelization opportunities our team missed for months. Quantum annealing is the real deal for workflow optimization."
Join the teams already saving thousands on token costs. Start free — no credit card required.
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