AI Agent Development
Deploy autonomous software systems capable of planning, reasoning, and executing complex workflows without human intervention.
What is an AI Agent?
Unlike standard chatbots that simply answer questions based on a prompt, an AI Agent is an autonomous system that uses Large Language Models (LLMs) as its reasoning engine. Given a goal, an AI agent can break the problem into steps, use external tools (like APIs, web browsers, or databases), and iteratively work until the goal is achieved.
At SemiQuantum Technologies, we specialize in building complex, multi-agent systems tailored for enterprise use cases.
Capabilities We Build
Agents that can autonomously browse the web, scrape specific information, synthesize data from hundreds of sources, and compile detailed reports for market research or competitive analysis.
Systems capable of reading your codebase, identifying bugs, writing tests, and generating pull requests. We build specialized coding assistants tailored to your proprietary technology stack.
Beyond basic support, these agents can access user accounts via APIs, process refunds, upgrade subscriptions, and resolve complex multi-step technical issues on behalf of the customer.
We design architectures where multiple specialized agents communicate with one another to solve highly complex tasks, complete with human-in-the-loop approval gates for safety.
Our Technology Stack
Developing reliable AI agents requires a modern, sophisticated stack. We utilize the latest frameworks for LLM orchestration, memory management, and tool integration:
- LLMs: OpenAI GPT-4, Anthropic Claude 3, Google Gemini, and open-source models (Llama 3, Mistral).
- Frameworks: LangChain, LlamaIndex, AutoGen, and custom reasoning loops.
- Memory & Vector DBs: Pinecone, Milvus, Supabase pgvector for long-term agent memory.
- Infrastructure: Scalable serverless deployments and edge computing to minimize latency.