Understand what happenedExplain whyAct on evidence
Strata unifies structured and unstructured enterprise data through a natural language interface, giving teams the context to act, not just the metrics to stare at.
Five steps from scattered data to a decision you can defend.
Integrate SQL, ERP, and CRM systems without replacing anything.
Analyze reports, notes, and communications alongside metrics.
Query in plain English. No SQL, no tickets, no waiting.
Every answer is explainable and source-linked back to data.
Generate AI-powered dashboards instantly and distribute them.
Your metrics show what happened, but by the time they do, the quarter has closed and the "why" is buried in sources your dashboards can't see.
Operational context is scattered across databases, documents, client communications, ticketing systems, and spreadsheets, none of which talk to each other.
By the time metrics surface a problem, the decisions that caused it were made weeks, or months, ago. You're always reacting, never anticipating.
Without the "why," teams spend more time investigating than acting. Decisions become slower and harder to defend when you can't trace them to evidence.
Strata bridges the gap, connecting your structured metrics with the narrative context behind them, so you can stop reconstructing the past and start understanding it in real time.
Four capabilities that replace entire toolchains.
Knowing what changed is only half the picture. Strata connects your structured metrics, ERP, CRM, finance, operations, with the documents, notes, and communications that explain why the metrics landed where they did.
Building dashboards the traditional way takes weeks, requirements, analyst build, review cycles. Strata shortcuts the entire process. Ask a question in plain English, and Strata extracts, analyzes, and visualizes data programmatically in real time.
Most dashboards are built once and answered once. Strata generates dashboards directly from your questions, live against your actual data. As the data changes, the dashboard changes with it.
Most AI tools have no memory of your business. Strata's Hybrid RAG gives the AI a persistent, queryable memory, and goes further than standard RAG by understanding relationships between people, activities, and outcomes, then validating against live data.
BI tools show you the past. AI copilots summarize documents. Strata does both, and connects them.
| Capability | Traditional BI | AI Copilots | Strata★ Recommended |
|---|---|---|---|
| Data coverage | ✕Structured only | ✕Documents only | ✓Unified |
| Analysis type | ✕Static reports | ✕Summaries | ✓Root cause analysis |
| Evidence quality | ✕System records | ✕Snippets | ✓Cross-validated |
| Decision readiness | ✕Manual context | ✕Incomplete | ✓Decision-ready |
No setup, no slideware. Bring a question about your business and watch Strata trace the answer back to its evidence, live.
Built for environments where AI-driven insights must be explainable, secure, and aligned with existing controls.
Most AI systems give you an answer. Strata shows you its work. Every insight traces back to the records, documents, and context that produced it.
Your AI layer is only as trustworthy as the guardrails around it. Strata operates entirely within your existing security frameworks.
Insight is only useful where decisions happen. Strata embeds directly into the systems your teams already work in.
From revenue to healthcare, Strata connects the dots your current tools can't.
Most dashboards show what changed, not why. Strata helps teams investigate metric shifts by connecting performance data with the operational context surrounding it.
Customer insight is fragmented across tickets, feedback, CRM systems, and internal notes. Strata unifies these sources for a complete view of behavior and sentiment.
Revenue performance is influenced by operational activity traditional dashboards fail to capture. Strata connects pipeline metrics with the surrounding business context.
Healthcare and research environments generate large volumes of structured and narrative data. Strata enables organizations to analyze both together.
The practical details: security, accuracy, and what it takes to get started.
Strata operates inside your existing security frameworks rather than around them. It respects the permissions you already have, so users only ever see what they are authorized to access.
Strata connects to most SQL databases, warehouses, business applications, and document sources. If your data lives in a system with a SQL, REST, or document interface, Strata can usually read it.
No. Strata is an analysis layer that sits on top of your current stack. There is nothing to migrate and no warehouse to rebuild, so you keep the systems and governance you already trust.
Strata's Hybrid RAG grounds every answer in your actual data. It retrieves the relevant context, then validates findings against live structured records before presenting a result, so answers reflect fact rather than plausible text.
Yes. Strata shows its work. Every insight traces back to the records, documents, and context that produced it, so decisions stay defensible and review-ready.
Because Strata connects to systems you already run, there is no long build phase. Most teams point Strata at their sources, apply existing access rules, and start asking questions in days, not quarters.
Real answers, grounded in your data.