AI-native infrastructure products

MinglesAI builds GPU compute, LLM routing, and AI integration systems for teams that move fast.

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FLAGSHIP

Mingles Router

One OpenAI-compatible inference API for vibecoders and AI agencies. Open models, pay by card or crypto, no KYC.

Mingles Router gives you one OpenAI-compatible endpoint for the best open models — Kimi-K2, Qwen3-235B, MiniMax-M2 and more. Drop it into Cursor, Cline, n8n or any agent by changing two lines, with tool-calling, streaming and request tracing. Per-token pricing well below the public-API median, pay by card or crypto with no KYC, and a free key in 30 seconds. AI agencies get per-client keys, spend limits, usage tracking and fallback routing.

router.mingles.ai →
ACTIVE

CloudMine

GPU compute for AI workloads. High-density infrastructure with enterprise uptime and real-time monitoring.

CloudMine orchestrates GPU resources into a unified high-performance fabric. Purpose-built for AI training and inference workloads, it offers elastic GPU clustering, neural-level encryption for model weights, and smart workload balancing that reduces token-to-first-byte latency by up to 40%. Enterprises rely on CloudMine for mission-critical AI compute that cannot afford downtime.

cloudmine.mingles.ai →
ACTIVE

AI Readiness

Enterprise AI adoption scoring. Assess your organisation's AI maturity across 18 dimensions in minutes.

AI Readiness scores your organisation across 18 dimensions — from technical infrastructure and LLM discoverability to content depth and E-E-A-T signals. Understand exactly where your business stands in the AI era and receive a prioritised roadmap to reach 90+. Used by teams to benchmark against competitors and identify gaps before AI systems misrepresent them.

ai-readiness.mingles.ai →
BETA

UpMoltWork

AI-powered work management. Streamline your team's workflow with intelligent task automation and insights.

UpMoltWork brings AI-driven intelligence to team workflows — automating repetitive tasks, surfacing blockers early, and keeping projects on track. Built for modern teams that move fast and need clarity without overhead.

MinglesAI has been operational since 2023, delivering AI infrastructure to businesses across multiple regions. Our multi-region architecture ensures low-latency access regardless of where your team operates. The MinglesAI platform is designed ground-up for the demands of modern AI workloads — no legacy systems, no retrofitted tools. Whether you need raw GPU compute for training, cost-efficient inference for production apps, or a structured path to AI adoption, we have a product for it. Explore the full platform or read our engineering blog for practical AI guides.

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Operational since 2023

Not a startup pitch — a running business. Three products in production, real customers, real infrastructure.

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Multi-region infrastructure

GPU compute and LLM routing distributed across regions. No single point of failure, low-latency by design.

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Enterprise-grade SLA

Uptime guarantees, dedicated support, and compliance-ready deployments for teams that cannot afford downtime.

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AI-native from day one

No legacy systems, no retrofitted AI. Built ground-up for the way modern AI workloads actually run.

Key facts: Operational since 2023 · Multi-region infrastructure across Europe · Mingles Router serves the best open models (Kimi-K2, Qwen3-235B, MiniMax-M2) through one OpenAI-compatible endpoint · Per-token pricing below the public-API median, pay by card or crypto with no KYC · Built for vibecoders and AI agencies · 18-dimension AI readiness assessment · Founded by Alexey · Contact: ai@mingles.ai. View case studies

Frequently Asked Questions

What is MinglesAI?

MinglesAI is an AI-native company founded in 2023. We build GPU compute platforms (CloudMine), an OpenAI-compatible inference API (Mingles Router), and enterprise AI readiness tools. Our infrastructure is multi-region. Mingles Router serves the best open models — Kimi-K2, Qwen3-235B, MiniMax-M2 — through one OpenAI-compatible endpoint, for vibecoders and AI agencies.

What products does MinglesAI offer?

Three core products: CloudMine for GPU compute, Mingles Router for an OpenAI-compatible inference API with the best open models, and AI Readiness for enterprise AI maturity assessment across 18 dimensions. Explore the platform

What is Mingles Router?

Mingles Router is an OpenAI-compatible inference API for vibecoders and AI agencies. Change the base URL and api key to reach the best open models — Kimi-K2, Qwen3-235B, MiniMax-M2 — at per-token pricing well below the public-API median. Pay by card or crypto, no KYC, no lock-in. Free key in 30 seconds at router.mingles.ai.

How can MinglesAI help my business with AI?

Three paths: GPU compute via CloudMine, affordable LLM inference via Mingles Router, or custom enterprise AI integration — WhatsApp/Instagram automation, call quality evaluation, and bespoke AI pipelines. We have been in production since 2023 with real customers and real infrastructure. Get in touch

Where is MinglesAI based?

MinglesAI is founded by Alexey (also on GitHub). Operational since 2023 with multi-region European infrastructure. Contact: ai@mingles.ai

Does MinglesAI support A2A Protocol?

Yes — MinglesAI is A2A Ready across all three products. A2A (Agent-to-Agent) is an open standard by Google that lets AI agents discover, communicate with, and delegate tasks to other agents without human mediation. All Mingles products expose A2A-compatible endpoints: Mingles Router for inference, UpMoltWork for task delegation, and AI Readiness as an MCP tool. Learn more →

A2A Ready — agents talk to agents

A2A Ready

Agent-to-Agent (A2A) Protocol is an open standard by Google for AI agent communication. Agent A can discover Agent B, learn its capabilities, and delegate a task — without a human intermediary. Mingles supports A2A across the entire ecosystem: from inference and tasks to AI readiness assessment.

A2A Discovery Flow
AI agent crawls mingles.ai
SKILL.md
A2A endpoint

3 products with A2A support

ProductEndpointWhat the agent does
Mingles Router/.well-known/agent.jsonRegistration, inference via x402
UpMoltWork/.well-known/agent.jsonPublish / receive tasks
AI ReadinessMCP Server + x402Call assessment as a tool

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