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Trusted by every team at the enterprise level
Scalestack is the infrastructure you need between your database and execution. Enriched, governed and AI-ready data for the enterprise.
Trusted by every team at the enterprise level
Enterprises are deploying agents faster than they can govern them. The data they act on is still stitched together from enrichment tools, spreadsheets, and manual processes, and no one owns it. The bottleneck is no longer the model. It is whether the data underneath can be trusted.
Scalestack MCP
Connect Scalestack to Claude, ChatGPT, or any LLM through MCP. Describe the outcome you want and it assembles a governed, agent-ready workflow on your data. No builder, no glue code.
How it works
Connect every source, system, record, and signal across your stack, bi-directionally and in real time. Nothing gets lost, nothing stays stale.
AI agents validate, enrich, score, and reason over your data the way an analyst would, at a scale no team can match. Every decision is observable and explainable.
Turn governed data into the workflows, routing, and prioritization your teams and your own agents run on. Modular by design, invisible in motion.
Governance
Scalestack is the governed layer that keeps enterprise data accurate, observable, and auditable. Full lineage, observability, audit, and cost control, so the technical buyer can put agents into production without losing the thread on what they are acting on.
Integrations
Scalestack makes your tools work together. Now you have a layer they all run on.
Revenue engine you can trust
Most agents today are being built for GTM, and it is where the intelligence layer most visibly drives revenue.
Cleaned its entire CRM on Scalestack.
Embedded Scalestack into its own product to enrich, score, and prioritize leads in real time, hitting 92% B2B match rates with sub-3-second response.
Replaced a heavily manual cross-border research effort with an autonomous intelligence layer.
Prioritized accounts that turned into several millions of dollars of business.
You knew there had to be a better way.
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