Custom AI Agent Development
AI agents are the next generation of business software: autonomous systems that independently think, decide and act to achieve your goals. Neuropad develops advanced AI agents that can collaborate in multi-agent networks, call external tools, and learn from feedback. Whether you need a customer service agent, a data analysis agent, or a fully autonomous decision-making system — we build it custom.
What's included
- Multi-agent architecture
- Tool-calling & API integration
- Memory & context management
- Autonomous decision-making
- Human-in-the-loop options
- Real-time web browsing
- Code execution capabilities
- Logging & observability
Our work process
Use case definition
Jointly defining the agent's tasks, permissions and boundaries.
Architecture design
Design of the agent architecture: tools, memory, reasoning framework.
Build prototype
Quickly deliver a working prototype for validation.
Iterative improvement
Refine and expand the agent based on feedback.
Safety & guardrails testing
Extensive testing for edge cases, safety and reliability.
Production deployment
Secure rollout to production with monitoring and alerting.
Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent can independently perform actions: retrieve data, control systems, make decisions — autonomously and goal-oriented.
Which LLMs do you use?
We work with all leading models: GPT-4o, Claude 3.5, Gemini, and open-source alternatives. The choice depends on your use case, privacy requirements and budget.
How safe are AI agents?
We always implement strict guardrails, human-in-the-loop checkpoints where needed, and extensive logging. Safety and reliability are our priority.
Ready to get started?
Get in touch today for a no-obligation conversation about your project.