Our Tools
We build with what actually works.
A deliberate stack. Claude as the intelligence layer. MCP as the connective tissue between your AI environment and internal systems. Custom agents as the operational layer. On-premise LLMs for clients where cloud AI is not an option.
We use this stack because it is the best available for what we are building, and because our team is certified across all of it. Alphabyte holds Microsoft Solutions Partner status with three Azure designations and 10+ Anthropic-certified practitioners on the path to Claude partnership.
Anthropic Claude Certified
10+ certified practitioners on the path to Claude partnership
Every engagement
Uses Claude as the primary intelligence layer
Production-grade
Every agent and MCP server built to ship, not demo
The Full Stack
Claude
The intelligence layer.
Purpose-configured around your organizational data, your team’s workflows, and your operational context.
- Custom knowledgebases
- Custom skills
- Prompt libraries
- SDLC plugins
- Agent development
Used across all five services
Learn more →MCP
Connect models to your tools.
Model Context Protocol is the open standard from Anthropic that defines how AI models communicate securely with external systems. A custom MCP server gives your AI environment governed, auditable, real-time access to your CRM, ERP, data warehouses, and APIs without data leaving your environment.
- Custom MCP servers
- OAuth 2.0 security
- Azure cloud infrastructure
- Full audit logging
- Tool and API integration
Required for any live data connectivity
Learn more →Custom AI Agents
Purpose-built task automation.
Production systems that execute defined operational workflows end-to-end without continuous human intervention. Each agent connects to your data through MCP, operates in an isolated cloud sandbox, and routes through human-in-the-loop approval gates at the decision points you define.
- Agent sandbox + runtime
- CI/CD pipelines
- Agent Command Centre
- HITL approval workflows
- Self-improvement feedback
Built to production engineering standards
Learn more →On-Premise LLM
Private, self-hosted models.
For organizations that cannot send their data to a cloud AI provider. We deploy capable open-source language models, Llama and Mistral, on your own infrastructure. The model runs inside your environment. Your data never leaves your control.
- Model selection
- Infrastructure provisioning
- Installation + validation
- API access
- MLOps and governance
For data sovereignty requirements
Learn more →How the Stack Fits Together
Layer 1
Claude
Intelligence. Reasons, writes, analyzes, and builds against your operational context.
Layer 2
MCP
Connectivity. Governs secure real-time access between your AI environment and internal systems.
Layer 3
Agents
Automation. Executes defined workflows end-to-end with human oversight gates.
Layer 4
On-Premise LLM
Sovereignty. Runs the full stack inside your own infrastructure when cloud AI is not an option.
Want to see how the stack applies to your situation?
45 minutes. No cost. No obligation.