Neuropad
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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.

Neler dahil

  • 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

Çalışma sürecimiz

1

Use case definition

Jointly defining the agent's tasks, permissions and boundaries.

2

Architecture design

Design of the agent architecture: tools, memory, reasoning framework.

3

Build prototype

Quickly deliver a working prototype for validation.

4

Iterative improvement

Refine and expand the agent based on feedback.

5

Safety & guardrails testing

Extensive testing for edge cases, safety and reliability.

6

Production deployment

Secure rollout to production with monitoring and alerting.

Sıkça sorulan sorular

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.

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