AlphaCorp
Custom AI engineering for agents, RAG systems, and business automation, delivered through scoped client projects.
About AlphaCorp
AlphaCorp is an AI engineering studio that designs and delivers custom AI agents, retrieval-augmented generation systems, and intelligent automation for business workflows. The work covers autonomous agents that plan and use tools, grounded retrieval pipelines connected to company data, and production automation built with technologies such as Python, Rust, TypeScript, OpenAI, Anthropic, Gemini, LangGraph, LangChain, vector databases, AWS, and Azure. Engagements are scoped around a client problem rather than sold as a self-service software subscription. The contact flow asks buyers to select a service and budget range, then offers a free 30-minute discovery call. Project duration depends on scope: smaller projects may finish in a few weeks, while most enterprise engagements take three to six months. Every project includes a handoff period with documentation and training, and ongoing maintenance, monitoring, and iteration are available through retainer arrangements. AlphaCorp is most relevant to teams seeking a build partner for a defined AI system, while buyers looking for an instant, fixed-price SaaS product should expect a consultative sales and delivery process.
Best for
Best use cases
An overdue-invoice workflow needs an agent to query a CRM, retrieve payment terms, and prepare messages for approval.
Internal information must be retrieved through a grounded RAG pipeline before an agent generates an answer or action.
A prototype needs to become a supported production system with documentation, training, monitoring, and further iteration.
Compare before choosing
Choose AlphaCorp when custom engineering and integration matter more than immediate access to a standardized SaaS interface.
Compare the discovery-led quote and project timeline with fixed-price products if budget predictability is the main constraint.
Evaluate retainer support against an internal engineering team when ongoing maintenance and monitoring will be required.
Features
Custom AI agent delivery
Design and ship autonomous agents that plan, call tools, and complete multi-step business work with approval points where needed.
Grounded RAG pipelines
Build retrieval systems that connect agents to organizational data so responses can be grounded in relevant internal information.
Production workflow automation
Implement intelligent automation for operational workflows using a client-specific engineering stack and deployment environment.
Pros
- Supports custom AI agents, RAG pipelines, and automation instead of limiting buyers to a fixed product workflow.
- Works across Python, Rust, TypeScript, major model providers, agent frameworks, vector databases, and cloud platforms.
- Includes documentation and training at handoff, with retainer support available for maintenance and iteration.
Cons
- Pricing requires a discovery and custom quote, which limits upfront budget comparison with fixed-price alternatives.
- Most enterprise engagements take three to six months, so the workflow is not designed for instant deployment.
- A client must manage a consultative project process rather than sign up for a standardized self-service application.
Pricing Plans
Custom engagement
- Scope defined through project discovery
- Delivery timeline based on project complexity
- Documentation and training during handoff
- Optional ongoing maintenance, monitoring, and iteration
* Pricing information is for reference only. Please refer to the latest announcement on AlphaCorp's official website.