alphacorp-ai
AlphaCorp AI is an AI agent development company that designs and ships custom autonomous AI agents, retrieval pipelines, and production automation systems to help businesses move faster, work smarter, and scale without adding headcount.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Free from $15,000 - $30,000 (typical start range)
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alphacorp-ai
AlphaCorp AI is an AI agent development company that builds autonomous AI agents, retrieval-augmented generation (RAG) pipelines, fine-tuned models, and production-grade MLOps so businesses can automate workflows end-to-end. Targeting mid-to-large enterprises and teams across healthcare, financial services, SaaS, and logistics, AlphaCorp focuses on agentic workflows that reason, use tools, and complete real work rather than one-off chatbots or demos. The team is remote-first, engineered in Brazil and aligned to US Eastern hours, and emphasizes discovery, architecture, evaluation, and production deployment as a repeatable path to ship reliable AI systems.
AI development company specializing in AI agents, automation, and RAG solutions.
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Claim this listingKey Features
Custom AI Agents
Design and build autonomous agents that plan, use tools, and complete multi-step tasks end to end without constant human oversight.
RAG Pipelines
Grounded retrieval pipelines that connect LLMs to your documents and databases so agents answer from your data rather than guesswork.
Intelligent Automation
Production automation systems and agentic workflows intended for reliable, repeatable operations rather than one-off proofs of concept.
Fine-Tuning
Fine-tune models on customer data to improve performance, cost, and latency when prompting alone is insufficient.
Prompt Engineering
Structured prompts, evaluation frameworks, and optimization loops to maximize model performance across tasks.
Software Engineering
Full-stack development for AI products including APIs, dashboards, integrations, and backend services.
MLOps / DevOps
CI/CD pipelines, model monitoring, and infrastructure automation to keep AI systems reliable as they scale.
AI Integration Audit
Workflow and systems audits to identify high-impact AI opportunities and produce a clear roadmap before engineering work begins.
AI Consultation
Strategic consulting to define AI strategy and scope projects when customers are uncertain how to start.
Pricing
Single-task agents
$15,000 - $30,000 (typical start range)- Well-defined single-task agent
- Shorter delivery timeline (4–6 weeks typical)
Enterprise multi-agent systems
$50,000 - $150,000+- Complex multi-agent orchestration
- Multiple integrations and advanced reasoning
Use Cases
Agentic Document Processing for Government Contractor
Built agentic software and RAG pipelines for Versar Global Solutions to enable intelligent document processing and autonomous decision-making across operations.
Fullstack AI Agent for Hospitality
End-to-end fullstack AI agent engineering (Next.js/TypeScript front-end, FastAPI/Python back-end) to support hospitality workflows on Azure.
Production Engineering Workflows
Integrating models like Anthropic Claude and OpenAI Codex into engineering workflows to help teams ship faster with less headcount.
Wayfinding and Campus Routing
Developed a wayfinding algorithm and fullstack solution for CampusReel to route prospective students through campus tours and content.
Industry Deployments
Production AI agents and systems for teams across healthcare, financial services, SaaS, and logistics to automate specialized workflows.
Integrations
LLMs and model providers
Works with Anthropic, OpenAI, Gemini, HuggingFace, Cerebras, Groq, Replicate, OpenRouter and similar providers to run model inference.
Orchestration frameworks
Integrates frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, and OpenClaw for agent orchestration and prompt management.
Vector databases & embeddings
Supports Milvus, Pinecone, PGVector, Chroma, and Weaviate for RAG and vector search pipelines.
Cloud & compute
Deploys on Azure, AWS, Vast AI, RunPod and other cloud/compute platforms as required.
CRMs / ERPs and enterprise systems
Builds integrations to CRMs (Salesforce, HubSpot), ERPs (SAP, NetSuite), databases, and any system with an API for production workflows.
Benefits
Limitations
Claim this listing to add transparent limitations.
Frequently Asked Questions
What are AI agent development services?
How long does it take to build a custom AI agent?
How much do AI agent development services cost?
What is the difference between an AI agent and a chatbot?
What tech stack do you use for AI agent development?
Can AI agents integrate with our existing software systems?
Getting Started
- 1 Step 1: Book a free call / discovery (1–2 week discovery phase to map workflows, data, and success criteria).
- 2 Step 2: Architecture and agent design (design agent, tools, and guardrails for safe, predictable operation).
- 3 Step 3: Build, evaluate, and fine-tune (develop the agent, run automated evaluations, add human-in-the-loop checks).
- 4 Step 4: Deploy with MLOps and ongoing support (ship to production, monitor performance, and iterate).
Support
Contact via info [at] alphacorp.ai for inquiries and support.
call / consultation
Book a free call / discovery session to scope projects and discuss requirements.
newsletter
Weekly AI engineering newsletter signup (one email per week) for updates and insights.
API
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