Technical experience
The systems and tools behind our integration and software work. If yours is not on the list, ask; most of this was learned on a job that needed it.
Bringing an assistant to your tools
An AI assistant on its own can only answer from what it was told. With MCP, the Model Context Protocol, it can use the tools you already run: look up a tenant, check a camera, read a record, open a ticket. The assistant works inside your systems, with your data, instead of beside them. We build these integrations to the customer's actual need, and every action the assistant takes is logged.
Organizing data you cannot read fast enough
Cameras, gates, sales, tickets, and logs produce more than anyone reads. Put into a search and analytics system such as Elasticsearch, the same data can be retrieved in moments and watched for change, so you see what is happening early enough to act on it before your competition does.
What we have worked with
- Facility and property softwarestorEDGE, SiteLink, and other facility management platforms, through their APIs.
- Physical security systemsUbiquiti UniFi cameras, door access, and networking, PDK access control, OpenTech and LiftMaster gate systems, driven from software rather than only from their own apps.
- Search and analyticsElasticsearch: cluster design and management, index and lifecycle layout, per-tenant data streams, and the tooling that gets records, logs, and documents in and answers out.
- AI assistants and toolsClaude-based assistants with tool use across web chat, SMS, and voice; Model Context Protocol (MCP) servers that let an assistant work with your own systems; consent, disclosure, and audit handling built in.
- CommunicationsTwilio voice and messaging, including carrier registration, call recording with notice, and text-message opt-in flows.
- Monitoring and operationsZabbix and Uptime Kuma monitoring, ticket queues, private network overlays for reaching remote sites, and documentation systems, all self-hosted in containers.
- Web and applicationNode.js and TypeScript services, Python tooling, static and WordPress websites, Linux servers, Docker, and reverse proxies.
- Data pipelinesBulk document scanning with searchable text, video transcription, network discovery and audit across vendors, and scheduled synchronization between systems.