AI Agent Development
AI agents are autonomous systems that think and act independently. We build agents beyond chatbots - they execute complex tasks, use tools, make decisions, and deliver measurable results. Our team combines AI engineering with domain expertise in crypto, trading, and fintech.
What Are AI Agents?
AI agents are autonomous systems that perceive, decide, and act. Unlike chatbots that respond to prompts, agents plan multi-step workflows, use tools and APIs, maintain memory across interactions, and adapt based on results.
Agentic AI means building autonomous capabilities. An agent might research a topic across sources, synthesize findings, and email the report - from one instruction. It decides how to break down tasks, which tools to use, and how to handle problems.
The key difference: chatbots wait for input. Agents take initiative. They work like an employee, not a command line. They handle complexity so your team focuses on higher-value work.
Agent Types We Build
Task automation to specialized assistants. AI agents built for your specific workflows.
Task Automation Agents
Agents that handle repetitive work autonomously. Data processing, report generation, multi-step workflows. They execute reliably and learn from feedback.
Research & Analysis Agents
Agents that gather and analyze information from multiple sources. Structured insights for market research, competitive analysis, due diligence.
Customer Service Agents
Conversational agents for support, lead qualification, and routing. Guardrails keep them on-topic and escalate when needed.
Coding Assistant Agents
Coding agents that write, review, and refactor code. Integrated with your codebase. Follow your conventions and standards.
Technical Capabilities
Reliable AI agents need LLM orchestration, tool integration, and production engineering expertise.
LLM Integration & Orchestration
Integration with OpenAI, Anthropic, and open-source models. Agents use the right model per task, balancing capability, cost, and speed.
Tool Use & Function Calling
Agents that call APIs, query databases, and interact with external systems. Robust error handling and retry logic for production use.
Multi-Agent Systems
Teams of specialized agents collaborating on complex tasks. Supervisor patterns, handoffs, shared context for coordination.
Memory & State Management
Memory systems for agents to learn from past interactions. Vector databases, conversation history, context management.
Guardrails & Safety
Input validation, output filtering, behavioral constraints. Agents that stay on-task, fail gracefully, and escalate when appropriate.
Observability & Monitoring
Visibility into agent decisions, tool usage, and outcomes. Logging, tracing, analytics for understanding and optimization.
AI Agents for Crypto, Trading & Fintech
Most companies build generic AI agents. We specialize in crypto, trading, and fintech agents.
Crypto Trading Agents
Agents that monitor markets, execute trades, manage risk across exchanges. AI capabilities plus crypto trading experience.
DeFi Automation Agents
Agents for yield farming, liquidity management, protocol interaction. Navigate on-chain complexity, optimize gas, respond to market conditions.
Fintech Workflow Agents
Agents for compliance, transaction monitoring, reporting. Built with security mindset from government financial systems.
Why Hexmount for AI Agents
AI agent companies are everywhere. What matters: do your agents work in production and deliver ROI?
Domain Expertise Built In
We don't just build AI agents generically. We build for crypto, trading, and fintech. Real experience in these domains.
Production-Ready Systems
Agents that work in production, not just demos. Error handling, monitoring, graceful failures built from the start.
Tiger Team Delivery
Small team. Fast execution. We deliver working agents while others schedule kickoff meetings.
Ready to Build Your AI Agent?
Tell us your use case. Trading agent, customer service bot, custom automation. We build AI agents that deliver business value.