AI Agent Development Company
AlphaCorp AI is an AI agent development company that builds custom AI agents and automation systems to help your business move faster, work smarter, and scale without adding headcount.
10+ years shipping enterprise and AI products. ERP systems that run a business, then the AI agents that run on top of them.
VersarWashington, DC
GynisusNew York
CampusReelNew York
LuniqGermany
HospitalityFlowSingapore
RustyRAGDelawareWhat an AI Agent Development Company Ships After the Demo
Anyone can get a model to look impressive for ten minutes. The hard part starts when it has to touch real data, real systems, and real money, every day, without someone watching it.
AlphaCorp AI builds the part that survives that: agentic workflows, retrieval grounded in your own documents, and the evaluation and monitoring around them. A lot of our work starts exactly where somebody else’s pilot stopped.
Explore our AI agent development services→Custom AI Agents
Agents that plan a task, call your tools, and finish it end to end, with a human approval gate on anything that leaves the building.
You getA system that closes the task
RAG Pipelines
Retrieval grounded in your own documents, so answers come back with the source attached instead of a confident guess.
You getAnswers you can audit
Intelligent Automation
The high-volume, low-glory path: invoice matching, order entry, document processing, wired into the ERP you already run.
You getHours back, every week
Evals & Monitoring
Test suites, traces, and dashboards shipped with the system, because the failure mode of AI in production is silent drift.
You getProof it still works
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.
The Stack We Ship On
We pick the best tool for each job, not the trendiest. This is what runs behind the agents, retrieval pipelines and automation we put into production.
AWS
AzureAI Agent Development Projects
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
The 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
Built agentic software and RAG pipelines for Versar Global Solutions, enabling intelligent document processing and autonomous decision-making across their operations.
HospitalityFlow
Fullstack 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
Autonomous AI agent consulting. Implementing Anthropic Claude Code and OpenAI Codex inside production engineering workflows to ship faster with less headcount.
CampusReel
Fullstack engineering for CampusReel, including a wayfinding algorithm that routes prospective students through campus tours and university content.
Luniq
Fullstack AI agent engineering for Luniq. Python / FastAPI backend on Azure with RAG pipelines, prompt engineering, and MLOps / DevOps end-to-end.
AI Agent Development Services
Our AI agent development services span custom agents, RAG, fine-tuning, and production MLOps, so you get everything needed to ship AI that works.
Generative AI Development
Production-grade agents, retrieval pipelines, and fine-tuned models for teams tired of stalled pilots. The umbrella practice the services below sit inside.
Explore →AI DevelopmentCustom AI Development
AI assembled around your proprietary data — retrieval, tuning, and agents composed into a system your competitors can't copy. And an honest build-or-buy score before you spend anything.
Explore →Fine TuningLLM Fine Tuning
LoRA, QLoRA, DPO and RAFT builds that move your format, tone and task behavior out of the prompt and into the model's weights — plus honest scoping on when retrieval is the better tool.
Explore →Software EngineeringCustom Software Development
Production-grade systems with AI engineered in — RAG pipelines, agents, fine-tuned models, and the backend, frontend, and infrastructure that hold them together in production. Built to NIST and OWASP standards.
Explore →AI Agent Development
Autonomous agents that handle real tasks end to end. We build agents that reason, use tools, and get work done without constant hand-holding.
RAG Development
Connect your LLMs to your actual data. We design retrieval pipelines that give accurate, grounded answers from your documents and databases.
Fine-Tuning
When prompting isn't enough, we fine-tune models on your data to get better results at lower cost and latency.
Prompt Engineering
Structured prompts, evaluation frameworks, and optimization loops that squeeze the best performance out of any model.
Software Engineering
Full-stack development for AI-powered products. APIs, dashboards, integrations, and everything else your AI system needs to run in production.
MLOps / DevOps
CI/CD pipelines, model monitoring, and infrastructure automation so your AI systems stay reliable as they scale.
AI Integration Audit
We review your existing workflows and identify where AI can save the most time and money, with a clear roadmap to get there.
AI Consultation
Not sure where to start? We help you figure out the right AI strategy for your business and build a plan you can actually execute.
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.
Discovery and AI integration audit
We map your workflows, data, and systems, then define clear success criteria before any code is written.
Architecture and agent design
We design the agent, its tools, and its guardrails so it does real work safely and predictably.
Build, evaluate, and fine-tune
We build the agent and test it with automated evaluation frameworks, with fallback logic and human-in-the-loop checks.
Deploy with MLOps and ongoing support
We ship to production, monitor performance, and keep improving the agent as your business grows.
Let’s Build Your AI System Together
Whether you have a clear vision or you’re still figuring it out, we’ll scope it, build it, and ship it. No fluff, just results.
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 are the design, engineering, integration, and operation of LLM-based agents that plan, call tools, and complete multi-step tasks with limited supervision. They differ from single-turn generative AI, which produces output for a human to act on. AlphaCorp AI delivers the full cycle, from scoping through post-launch operations.
How much does AI agent development cost?+
Scope decides the cost, and a working session prices it. The drivers are the number of systems the agent touches, the autonomy level you need, and inference volume, which McKinsey's 2026 research shows can vary by up to 30x on the same task. Our scoping stage produces a fixed estimate before build work starts.
How long does it take to ship a production AI agent?+
Timeline depends on integration surface and required autonomy, and the scoping stage sets a dated plan. A single agent with a narrow tool surface ships fastest. Multi-agent orchestration across several systems takes longer because eval coverage and permission design grow with every tool the agents can reach.
When is an AI agent the wrong choice compared to a chatbot or RAG system?+
An agent is the wrong choice when the workflow is deterministic or the output only informs a human. A <a href="/services/ai-chatbot-development-services">chatbot</a> or a <a href="/services/rag-development">retrieval pipeline</a> answers questions at a fraction of the token cost. Agents earn their inference premium only when they complete actions end to end.
How do AI agents integrate with our existing systems?+
We integrate agents through the Model Context Protocol, the open standard for connecting models to tools and data, now stewarded by the Linux Foundation's Agentic AI Foundation. MCP had over 10,000 active public servers by December 2025, so most common systems already have a connector, and we build custom MCP servers for the rest.
What happens after the agent launches?+
After launch, AlphaCorp AI operates the agent with you: trace monitoring, eval regression runs, token-spend tracking, and autonomy adjustments as trust builds. Deloitte's 2026 survey found only 21% of enterprises have mature governance for autonomous agents. The operate stage is where we keep you out of that statistic.
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Ready to Ship Your AI System?
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