AI Agents
We design, build, and deploy AI agent systems — from a single task-specific agent to multi-agent teams orchestrated across your entire operation. We’ve built agent infrastructure for SaaS platforms, internal operations, financial research, and document processing.
Project Examples
AgentOS - AI Agent Fleet Infrastructure
AI AgentsA 4-layer platform for deploying and operating OpenClaw, Hermes, and custom AI agents at scale - agent-agnostic, hosting-agnostic, and designed for fleet management.
→ Agent fleet infrastructure - deploy to production in minutes
AI-Native Algorithm Pipeline
AI AgentsMade a critical algorithm self-maintaining with AI, then stayed to build the full production pipeline. Now embedded inside the engineering team.
→ From scoped AI project to embedded engineering team
AI Knowledge Platform
MVP DevelopmentA full AI knowledge platform with RAG, lead collection, scheduled web crawling, audio transcription, and an embeddable widget - now serving 10+ enterprise clients.
→ 10+ enterprise clients on the platform
AI Tarot Reading Game
MVP DevelopmentAn AI tarot reading experience where multiple reader characters draw cards one by one, control the interface in real time through tool calls, and remember users across sessions.
→ AI agent with tool-calling UI control
What We Build
Custom OpenClaw Setup
Deploy and configure an OpenClaw-based AI agent tailored to your use case. We configure it, secure it, add custom skills, and deploy to cloud infrastructure you own.
OpenClaw for Your Niche
A white-label OpenClaw flavor built for your industry — e-commerce, legal, healthcare, real estate, or any vertical. Your own AI agent platform, purpose-built for your market.
Custom AI Agent (Non-OpenClaw)
A bespoke agent built with Mastra, Anthropic Claude SDK, or raw API calls — tailored to a specific workflow, tool set, or integration requirement.
AI Teams (Multi-Agent Orchestration)
Multiple agents collaborating — research, execution, quality-checking — each with defined responsibilities and communication protocols.
AI Apps & Dashboards
The user-facing application layer: dashboards to monitor agent status, mission control panels, real-time usage stats, and agent management interfaces.
Enterprise-Ready Agents
Secrets management, no-plaintext-secrets runtime injection, OTel audit logging, access controls, and behavioral profiling.
Technologies We Use
Who This Is For
Companies automating internal workflows
You have repetitive processes that could be handled by an agent — and you want it done properly, not with a fragile script.
SaaS builders embedding agent functionality
You want agent capabilities inside your product — and need someone who’s built this before.
Enterprises needing safe agent deployment
You have security and compliance requirements. Agents need audit trails, secrets management, and kill switches.
Outcomes You Can Expect
Production-deployed agents — not demos or proofs of concept
Secure by default: no plaintext secrets, audit logging, access controls
Observable: token usage, costs, and action logs visible in real time
Maintainable: clean architecture you can hand off or extend
Need AI agents that actually work?
Tell us what you're automating and we'll design the right agent architecture for your use case.