Proof
Real clients, in their own words.
Every quote below is verbatim, attributed to a real role at a real company you can visit. I publish detailed case study writeups and metrics only with client permission, so what you see here is exactly what I can stand behind.
“Julia Technologies played a crucial role in launching our AI strategy, implementing multiple integrations and new features across our platform. Their consultant delivered an impressive real-time data replication solution that fit seamlessly into our existing infrastructure. The team consistently demonstrates reliability and technical excellence.”
“Julia Technologies was instrumental in building our powerful real-time chat solution powered by AI. The platform seamlessly integrates with our CRM systems and multiple AI agents and workflows. Their consultant provided excellent architectural guidance and helped us develop our initial prototype quickly. Outstanding work!”
“Julia Technologies has been an exceptional partner in building our web application and platform. They delivered a complete solution including full architecture, database design, and cloud implementation. Their work enabled us to automate numerous internal workflows, significantly improving our operational efficiency. We highly recommend their services!”
Open source
The same design rules I apply in client work, published as running code.
mcp-saas-connector
MIT, TypeScript, 15 tools across 3 providersOne MCP server for the SaaS back office: Stripe, HubSpot, and Google Sheets as typed, read-only-by-default tools.
- Read-only defaults: write tools register only behind an explicit flag, and no destructive tools exist.
- Token-disciplined responses: every tool maps provider payloads to the fields an agent acts on.
- Secret redaction: every error path strips API keys and tokens before output reaches a model or a log.
The next proof point could be your product.
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