HelmHQ is a multi-tenant SaaS platform designed to provide teams with a shared, intelligent workspace for AI-powered work.

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I designed and developed the platform around a simple problem: valuable AI conversations, decisions, research, and organizational context are often scattered across individual accounts, disconnected tools, and private chat histories. HelmHQ brings that work together in a single collaborative environment where teams can reuse prior AI sessions, manage shared knowledge, connect to external sources, and keep important company context accessible.

The platform is built with Laravel and includes organization-based multi-tenancy, multi-provider AI support, BYOK API credentials, shared AI sessions, project and team management, Knowledge and Documents, connected integrations such as Slack, GitHub, Asana, and Google Workspace, usage tracking, AI budget controls, Stripe billing, role-based access, and organization-aware AI execution.

A major part of the architecture is HelmHQ’s intelligent context-selection system. Rather than sending an AI model everything an organization knows, HelmHQ retrieves, ranks, and budgets only the most relevant authorized context for each request. This improves response quality, reduces token usage, protects tenant boundaries, and creates a stronger foundation for future AI agents and workflow automation.

I also built the platform with commercial SaaS considerations in mind, including Stripe subscription management, configurable plan entitlements, seat and storage add-ons, security hardening, tenant isolation testing, privacy and compliance readiness, connected-source authorization, AI usage governance, and production deployment architecture.

HelmHQ represents both the product and engineering side of my work: identifying a real collaboration problem, designing the SaaS architecture around it, and building the infrastructure required to take an AI-native application from concept toward commercial launch.