We Build
AI Agents
That Replace
Manual Work.
Custom AI agents, MCP server integrations, and LLM-powered workflows — built for foreign businesses that want intelligent automation, not another subscription tool.
Your team is doing work
an AI agent should handle.
Your team wastes hours on repetitive research, data entry, and report generation
You pay for SaaS tools that don't talk to each other — manual copy-paste between apps
Customer support volume is growing faster than your headcount
You have data in 5 different systems but no single source of truth
Everything you need to ship
AI automation to production.
Custom AI Agents
Agents that browse the web, call APIs, write code, and take actions — fully automated workflows triggered by events or schedules.
MCP Server Integrations
Connect Claude, GPT-4o, or Gemini to your internal databases, CRMs, and tools via Model Context Protocol — no custom glue code needed.
LLM-Powered Workflows
Replace brittle rule-based automation with intelligent agents that handle exceptions, edge cases, and ambiguity like a human would.
Production Deployment
We don't just build demos. Every agent ships with monitoring, error handling, cost controls, and a fallback path.
What clients see after going live
What we've built
for businesses like yours.
AI agent monitors competitor pricing, updates your listings, and flags anomalies — zero human time.
Onboarding agent reads user signup data, generates a personalized setup guide, and sends it via email.
Lead qualification agent calls inbound leads, asks pre-qual questions, and books only hot leads in your calendar.
Report agent pulls from QuickBooks, Salesforce, and Google Sheets — generates a full P&L summary every Monday morning.
Contract review agent flags non-standard clauses, missing terms, and risk items across hundreds of documents per day.
Appointment agent handles rescheduling, sends reminders, and updates EHR records without staff involvement.
From call to production in weeks.
Discovery Call
30 minutes. We learn your workflow, identify 2–3 automation candidates, and estimate scope.
Scoped Proposal
You get a fixed-price quote with milestones. No ambiguity. No hourly billing surprises.
Build & Iterate
Weekly demos. You see the agent working in staging before we touch production.
Ship & Monitor
We deploy, set up dashboards and alerts, and hand over with full documentation.
Common questions.
How long does it take to build an AI agent?
Simple agents that call APIs and process data: 1–2 weeks. Complex multi-step agents with memory, tool use, and fallback logic: 3–6 weeks. We always start with a scoped proof-of-concept so you see working code before full commitment.
Do I need to manage any AI infrastructure?
No. We handle the model API keys, rate limits, token budgets, and deployment. You get a running system — we own the ops.
What if the agent makes mistakes?
Every agent we build has a human-in-the-loop escalation path, cost circuit-breakers, and full audit logging. Mistakes surface in your dashboard, not silently in production.
Can you integrate with our existing tools (Salesforce, HubSpot, Notion, etc.)?
Yes. If it has an API, we can connect to it. MCP and LangGraph make multi-tool orchestration first-class — not an afterthought.
What's the pricing model?
Fixed-scope projects for defined agent builds. Retainer for ongoing development, monitoring, and iteration. We'll scope it on the discovery call.
Book a free 30-min call.
No commitment. No sales pitch.
We'll map your workflow, identify exactly which parts an AI agent can handle, and give you a realistic timeline and cost — in one call.
Schedule Free Discovery Call