What an AI Agent Development Company Does
As an AI agent development company, AlphaCorp AI designs, builds, and ships autonomous AI agents that plan, use tools, and complete real work from start to finish. We go beyond chatbots and one-off prompts.
From agentic workflows and conversational AI to enterprise machine learning systems, we build the full stack of AI agents your business needs.
Explore our AI agent development servicesCustom AI Agents
Autonomous agents that plan, use tools, and complete real work end to end.
RAG Pipelines
Grounded retrieval so your agents answer from your data, not guesswork.
Intelligent Automation
Production systems your team can rely on, not one-off demos.
Meet the Founder
Most companies don't need more AI hype. They need someone who can sit down, understand the problem, and build something that actually works.
Ignas knows how enterprises work and what they need. He founded AlphaCorp AI with a simple conviction: the companies that will lead tomorrow are the ones building with AI today. Proud husband and father to a two-year-old son.
Open Source & Clients
We build in public and ship for clients. From open source tools used by developers worldwide to production AI systems for real businesses. We ship production AI agents for teams across healthcare, financial services, SaaS, and logistics.
RustyRAG
Realtime RAG, built in Rust.
AlphaCorp-AI / RustyRAGThe fastest source-available RAG stack on the planet. Sub-200ms end-to-end document ingestion, Milvus vector search, local Jina embeddings, and streaming LLM responses, all in one async Rust binary. Powered by Cerebras, Groq, and more.
Versar Global Solutions
Washington, DCBuilt agentic software and RAG pipelines for Versar Global Solutions, enabling intelligent document processing and autonomous decision-making across their operations.
HospitalityFlow
SingaporeFullstack AI agent engineering for the hospitality industry. Built Next.js / TypeScript front-end and FastAPI / Python back-end on Azure, with LLM prompt engineering and MLOps end-to-end.
Gynisus
New York, NYAutonomous AI agent consulting. Implementing Anthropic Claude Code and OpenAI Codex inside production engineering workflows to ship faster with less headcount.
CampusReel
New York, NYFullstack engineering for CampusReel, including a wayfinding algorithm that routes prospective students through campus tours and university content.
Luniq
GermanyFullstack AI agent engineering for Luniq. Python / FastAPI backend on Azure with RAG pipelines, prompt engineering, and MLOps / DevOps end-to-end.
How We Build Your AI Agents
Every AI agent we build follows the same proven path from discovery to production, so you always know what comes next.
Tech Stack
We pick the best tool for each job, not the trendiest. Here's what we work with every day.
Engineered in Brazil.
Synced to your hours.
Remote-first AI engineering team based in Brazil, fully aligned to US Eastern hours. Trilingual and async-friendly. Your team always has a partner online when it matters most.
AI Agent Development FAQs
What are AI agent development services?
AI agent development services involve designing, building, and deploying autonomous software agents that use large language models (LLMs) to reason through tasks, use tools, and complete multi-step workflows without constant human oversight. Unlike simple chatbots or rule-based automation, AI agents make decisions, call APIs, and adapt to changing inputs in real time.
How long does it take to build a custom AI agent?
Most AI agent projects at AlphaCorp AI take 4 to 12 weeks from discovery to production deployment. Simple single-task agents with well-defined workflows can ship in 4-6 weeks. Complex multi-agent systems with multiple tool integrations and advanced reasoning typically take 8-12 weeks. Every project starts with a 1-2 week discovery phase to define scope and success criteria.
How much do AI agent development services cost?
Project costs vary based on complexity, number of integrations, and deployment requirements. Single-task agents typically start at $15,000-$30,000, while enterprise multi-agent systems with complex orchestration range from $50,000-$150,000+. We provide detailed cost estimates after our discovery phase, and we work in weekly sprints so you have full visibility into spend throughout the project.
What is the difference between an AI agent and a chatbot?
A chatbot responds to questions within a conversation. An AI agent takes action. Agents can reason through multi-step problems, use external tools (APIs, databases, file systems), maintain memory across interactions, and execute complete workflows autonomously. A chatbot tells you the answer. An agent does the work.
What tech stack do you use for AI agent development?
We build AI agents using Python as the primary language, with frameworks like LangChain, LangGraph, and CrewAI for orchestration. We integrate leading LLMs including OpenAI GPT, Claude, and open-source models. For infrastructure, we use Docker, Kubernetes, Redis for state management, and PostgreSQL for persistent storage. The specific stack is always tailored to your requirements and existing infrastructure.
Can AI agents integrate with our existing software systems?
Yes. Integration is a core part of our AI agent development services. We build agents that connect to your CRMs (Salesforce, HubSpot), ERPs (SAP, NetSuite), databases, cloud services (AWS, GCP, Azure), and any system with an API. We handle authentication, error handling, rate limiting, and data mapping so the agent works reliably within your existing tech ecosystem.
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