nlp analytics
Stop translating business questions into SQL tickets. Our NLP analytics layer sits on top of your existing data stack and lets anyone — finance, ops, sales, leadership — ask questions and get verified answers instantly.
Built for enterprises running Power BI, Microsoft Fabric, Snowflake, or Azure.
This is what your team experiences — plain questions, instant governed answers.
From manufacturing ops to healthcare finance — here's what business leaders say after deploying our NLP analytics layer.
"Our CFO now pulls her own revenue and margin numbers before board meetings. That alone justified the entire project in the first quarter. The BI team finally has time for real work."
"We went from a 3-day reporting queue to self-serve answers the same afternoon. The NLP layer understood our Power BI definitions from day one — it felt like it already knew our business."
"The architecture review call gave us a clear picture of what we actually needed — no sales pitch. Within 6 weeks we had operations asking their own questions directly against our Snowflake data."
Natural language data analytics is the ability to type or speak a business question and receive a chart, table, and written summary back in seconds. No dashboard navigation. No analyst ticket. No waiting.
Instead of your team learning how your data is structured, the AI learns your business — and translates questions into precise, governed queries against your real data.
The result: anyone in your organisation can be their own analyst, without any of the risks that come with unsupervised data access.
Power BI semantic model, Snowflake, Fabric — your single source of truth stays intact
Maps plain-English questions to your exact business logic — no hallucinated metrics
Returns the right visualisation + plain-language summary, validated before delivery
Your BI team shouldn't be a bottleneck for every department. NLP analytics gives each team the data access they need — on their own terms.
Access margin, revenue, and cost data in plain English — before the board meeting, not after a 3-day analyst queue.
Ask about throughput, delays, or utilisation rates without touching a dashboard or filing a request.
Query win rates, pipeline health, and rep performance in plain English — without waiting on BI or RevOps.
Redirect time from repetitive report requests to high-value analytical work. Let the NLP layer handle the rest.
Type your question via a chat interface or embedded input. No SQL, no DAX, no dropdown menus. Just ask like you'd ask a colleague.
Your question is mapped to your actual governed business definitions — Power BI DAX measures, security rules, and data relationships — not generic LLM guesses.
Results are validated before delivery and rendered as the right chart, table, or plain-language summary — safe to share with leadership immediately.
Most AI analytics tools are generic — they query your data without understanding your business. Ours is built around your existing governance, security, and definitions from day one.
We mine your existing PBIX files and semantic model so the AI already speaks your business language — not a generic approximation of it.
Power BI RLS is fully respected. The CFO sees company-wide numbers. A regional manager sees their territory only. Enforced at the model level, not the UI.
We work on top of your existing stack — Power BI, Fabric, Snowflake, Azure. No migration, no downtime, no disruption to current dashboards or workflows.
Every query is checked for unauthorised access, missing RLS filters, and errors before it reaches your warehouse. No raw AI outputs delivered unchecked.
Plain-language analytical summaries highlight trends, anomalies, and actions. Verified against your data model and safe to present without analyst review.
Visuals match your existing Power BI design standards. Charts, colour schemes, and formatting stay on-brand — not generic AI-generated outputs.
No migration required. Our NLP layer integrates with the enterprise data tools your teams already run on.
We'll map your current data stack and show you exactly how NLP analytics would work in your environment — in one 30-minute call.
No commitment. No sales pitch. Just a practical roadmap.
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