We deploy AI
into your business.
We audit your tools, map your processes, and build a tailored AI deployment strategy. Then we ship it into production.
Your tools work. The work between them is still done by hand.
Before Matious
Before: copy-pasting between tools.
After Matious
After: one AI layer that reads and writes to each of them.
Five stages, about six weeks.
We run the stages in order, and you see the output of each one before the next begins.
System Audit
We start by going deep into how your company actually operates. We inventory every tool your teams use - CRM, ERP, helpdesk, communication, analytics, finance, documents. We map every key business process end to end. We identify where time is lost, where data is trapped, and where human effort is being spent on work that AI can handle. The output is a clear AI deployment strategy: a prioritized list of what to build, in what order, and what impact each deployment will create.
MCP Server Development
MCP (Model Context Protocol) servers are the bridge between AI models like Claude and your existing business tools. We build custom MCP servers that give AI direct, secure access to your CRM, ERP, databases, internal APIs, and any other system in your stack. This is the infrastructure layer that makes everything else possible.
MCP Architecture
Server
AI
AI Skills and Agent Development
AI skills are the specific capabilities we build on top of your MCP layer. Each skill is a defined, tested behavior: summarize a contract, classify a support ticket, draft a response, extract data from a PDF, flag a compliance issue. We then combine skills into agents, autonomous systems that chain actions together to complete multi-step workflows without human intervention.
Example: skills from a support-automation deployment
Contract Summarizer
Active
Invoice Extractor
Active
Support Classifier
Active
Lead Scorer
Active
Compliance Checker
Deploying...
Report Generator
Building...
Integration and Testing
We connect every AI component to your production environment and run it against real data. We test for accuracy, latency, edge cases, and failure modes. Every agent has a fallback. Every output has a confidence score. We do not ship until it works reliably on your actual workload, not a synthetic benchmark.
Pre-production validation
Illustrative
✓ Invoice extraction - regression suite passed
✓ Confidence threshold - calibrated
✓ Fallback routing - verified
→ Ready for production deployment
Production Deployment and Handoff
We deploy to your production environment with zero downtime. Your team gets full documentation, a runbook for every agent, and a monitoring dashboard so you can see exactly what the AI is doing at all times. We stay on for 30 days post-launch to monitor, tune, and fix anything that comes up. After that, you own it completely.
Building AI layer...
Running final validation...
Deploying MCP servers... done
Deploying AI agents... done
Running smoke tests... passed
Configuring monitoring... done
$ Deployment successful
$ Monitoring dashboard handed to your team
What we build, and where it runs.
Document Intelligence
PDF extraction, contract analysis, invoice processing. We build RAG pipelines and extraction agents that turn unstructured documents into structured, actionable data.
Support Automation
AI agents that read, classify, and resolve tier-1 support tickets. Connected to your helpdesk via MCP. Escalation logic built in.
Internal Knowledge Base
A Claude-powered assistant that answers from your documentation in Notion, Confluence, or SharePoint, and cites the page it used.
Sales Intelligence
AI that reads your CRM, scores leads, drafts outreach, and surfaces deal risks early. Connected to Salesforce or HubSpot via MCP.
Compliance Monitoring
Agents that continuously scan contracts, communications, and transactions against your regulatory framework. Flags issues for a human to review.
Operations Automation
Multi-step agentic workflows that connect your ERP, logistics, and finance tools. Approvals, alerts, and reports that someone used to assemble by hand.
We work with companies ready to move.
The Ambitious Mid-Market
50 to 500 people. You can see where AI would help your operations, but you do not have an in-house AI team to build it. You need senior engineers who can move fast and build for production.
The Enterprise Division
A business unit inside a large organization that cannot wait for central IT. You have budget, you have a real problem, and you need a partner who can get through procurement and security review, then deliver.
The Funded Startup
You are building fast and AI is core to your product. You need to augment your engineering team with specialists who have shipped AI systems before and can help you avoid expensive mistakes.
14 AI platforms shipped so far, for clients in the US, Europe, the UAE and Morocco.
Ready to see what AI
can do in your stack?
We start every engagement with a free 1-hour technical audit. We look at your stack, identify your top 3 AI opportunities, and tell you exactly what we would build and how long it would take. No commitment required.
Need something to share with your team? Download the one-page overview (PDF)