Sushidata

Sushidata began life as ChainFuse, a voice-of-customer analytics tool that mined customer conversations for sentiment and churn signals. It has since broadened into an "agentic data lake" aimed at go-to-market teams, and the old chainfuse.com domain now redirects to sushidata.com. The core pitch is that most teams burn tokens re-running the same research and re-buying the same contact data; Sushidata runs that work once and stores it in a persistent, self-healing memory layer that any AI agent or CRM can query later.

The platform wires together more than twenty data sources spanning prospecting, enrichment, and signal providers. Background agent swarms then work in parallel: one sources ICP accounts, another enriches emails and phones across multiple providers, another scores firmographics, and another watches for intent and buying signals. Results land in a shared prospect memory that can be reused across the whole company rather than living in one analyst's spreadsheet. On top of that sits a customer-signals layer that monitors Discord, Slack, Reddit, GitHub, and Gong to flag churn risk and sentiment shifts, plus competitive intelligence that tracks competitor pricing moves and launches.

Sushidata is deliberately not a new interface. It positions itself as the intelligence layer underneath the tools your team already uses, exporting enriched records into CRMs, sequencers, spreadsheets, and agent frameworks. That makes it a natural fit for outbound-led SaaS teams and for teams building custom agents, though it means the product is less useful if you want a standalone dashboard-first analytics suite.