AI agents · Claude-powered products · Hybrid deployment

MIKAKA AI

MIKAKA AI builds AI agents and products powered by Claude.

We turn Claude into reliable workflow agents for businesses — grounded in your tools and data, with private local models where sensitive data demands it.

Get in touchWhat we're building
Claude APIAgentsMCPTool useHybrid local models

What we're building

Products and capabilities we are building on top of Claude.

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Claude-Powered Business Agents

Agents that handle research, document drafting and proposal writing — connected to your tools through MCP and tool use, with humans in the loop.

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AI Solution Copilot

A copilot for designing AI systems: clarifying requirements, comparing architectures and producing technical proposals.

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Hybrid Deployment

Claude API for advanced reasoning, combined with private local models for sensitive data that should stay on your own hardware.

Services

From first idea to a dependable AI system in production.

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Claude-Powered Solution Consulting

Use Anthropic's Claude to help design AI solutions, plan architectures, review requirements and draft technical proposals.

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Claude Agent Development

Custom agents and integrations built on the Claude API — prompt design, tool use, MCP servers, evaluation and guardrails.

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Hybrid & On-Prem

Run open models like DeepSeek and Qwen on DGX Spark, ASUS GX10 or Mac Studio for sensitive workloads — hardware sizing, deployment and tuning included.

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Ongoing Support

Monitoring, model and prompt updates, and troubleshooting to keep your agents dependable.

Why Claude + hybrid

Frontier capability where it helps, private control where it matters.

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Strong Reasoning

Claude handles long documents, complex instructions and multi-step tool use well — a solid base for business agents.

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Privacy Where It Matters

Sensitive data can be routed to local models that never leave your network.

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Cost & Latency Control

Mix cloud and local inference to balance cost, speed and capability for each task.

How we work

A short, clear path from first call to production.

Assess

Understand your workflows, data and constraints.

Design

Choose the agent design and the cloud/local split.

Build

Build, evaluate and deploy the agent.

Support

Keep it running, updated and improving.

Let's build your AI agent

Tell us about your workflows, data and goals.

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