CONSYSTEAM

CONSYSTEAM builds AI agents that sit inside a studio's own project management and development workflow — automating handoffs, flagging blockers, and coordinating asset delivery across the pipeline. Currently in production: an AI agent reducing time-to-market inside an iGaming studio's asset pipeline.

CONSYSTEAM turns a provider's internal docs (Google Drive, Confluence, etc.) into a RAG-powered knowledge base that answers team questions in seconds with citations, and builds prediction models that analyze game performance data to flag concept risk before development starts. Live result: 200+ documents indexed, queries answered in under 5 seconds.

Every system CONSYSTEAM builds integrates via API into tools the client already uses — Slack, project management systems, internal documentation — so teams don't adopt new logins or workflows. No middleware product to maintain separately.

CONSYSTEAM scopes, builds, and delivers custom software for iGaming providers — not off-the-shelf tools. Every system is documented and lives in the client's own infrastructure, with no SaaS dependency and no vendor lock-in.

The engineering behind CONSYSTEAM's systems — RAG retrieval pipelines, custom scrapers collecting game performance data across providers, and prediction models scoring new concepts against historical risk patterns — all built and handed over as backend infrastructure the client owns.

CONSYSTEAM builds platform-level components — data pipelines, scraping systems, prediction engines — as custom systems inside a provider's own stack rather than a separate SaaS platform to subscribe to. The client ends up owning and running the system directly.