Our Tools
We don’t sell platforms.
We build with what actually works.
A deliberate stack. Claude as the intelligence layer. MCP is the connective tissue between Claude and your internal systems. Custom agents as the operational layer. On-premise LLMs for clients where cloud AI is not an option.
Not because we are obligated to use them — because they are the best tools available for what we are building.
Anthropic Claude Certified
Certified delivery team — exclusively Claude
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
Reasoning, writing, and analysis.
The intelligence layer across every engagement we deliver. Not a generic assistant — a purpose-configured system built 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 Claude 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
- 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, 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 Claude and your 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.