Agents that take action
Autonomous AI agents built with MCP servers and OpenAI Agents SDK. They reason, plan, use tools, and execute complex multi-step workflows — reducing manual effort by 10x.
Reasoning...
Using tools...
✓ Task complete
Automated this week
How we deliver
A structured methodology that ensures consistent, high-quality delivery from concept to launch.
Workflow Analysis
1 weekWe map your existing workflows, identify automation opportunities, and prioritize tasks based on ROI and complexity. We find the bottlenecks that agents can eliminate.
Agent Architecture
1-2 weeksWe design the agent system — defining tools, MCP servers, decision trees, and orchestration logic. We plan how agents will interact with your existing systems.
MCP Server Development
2-3 weeksWe build custom MCP servers that give agents access to your tools, databases, APIs, and services. Each server is a secure, well-tested interface.
Agent Training & Testing
1-2 weeksWe configure agent instructions, test against real-world scenarios, handle edge cases, and fine-tune decision-making. Extensive testing ensures reliability.
Deployment & Monitoring
1 weekWe deploy agents with comprehensive logging, error handling, and monitoring dashboards. You can track every decision and action your agents take.
Optimization & Expansion
OngoingPost-launch, we analyze agent performance, optimize prompts and tools, and expand capabilities based on real-world results and new requirements.
Technologies we use
Modern, battle-tested technologies chosen to build reliable and scalable solutions.
OpenAI Agents SDK
Framework for building autonomous AI agents with tool use
MCP Servers
Model Context Protocol for secure tool and data access
n8n
Visual workflow automation for complex orchestration
Python
Primary language for agent logic and MCP server development
FastAPI
API layer for agent endpoints and webhook handling
LangChain
Chain-of-thought reasoning and memory management
PostgreSQL
Persistent storage for agent state and logs
Redis
Task queuing and real-time agent coordination
Docker
Containerized agent deployment for isolation and scaling
Transparent pricing
Choose the package that fits your needs. All prices are starting points — final pricing depends on scope and complexity.
Starter
Single AI agent for one workflow
- 1 custom AI agent
- Up to 3 tool integrations (MCP)
- Basic task automation logic
- Error handling & retry mechanisms
- Execution logging & alerts
- 30 days post-launch support
Professional
Multi-agent system for complex workflows
- Up to 5 AI agents
- Unlimited tool integrations
- Multi-step workflow orchestration
- Advanced decision logic & branching
- Real-time monitoring dashboard
- Priority support
- Monthly performance reviews
Enterprise
Fully autonomous business process automation
- Everything in Professional
- Unlimited AI agents
- Custom model training & prompts
- On-premise or private cloud deployment
- Enterprise security & audit trails
- Dedicated support engineer
- SLA with performance guarantees
Prices listed are starting points. Final cost depends on project scope, timeline, number of features, and complexity. Every project is unique — let's discuss yours.
Discuss Your Project & Get a Custom Quote