AI Analytics Workspace for Operations
A guided analytics workspace where operational teams import data, ask natural-language questions, and see the SQL behind every answer.
Start a Similar ProjectEnergy, Utilities & Infrastructure Analytics
AI & Machine Learning / Custom Software Development / Cloud Solutions
AI-Assisted Analytics Workspace
Angular, ASP.NET Core, AI/NLP Service
RESULTS THAT MOVED THE NEEDLE.
Natural-language questions answered with SQL, tables, and charts
Real-world filter dimensions: scenario, company, network, facility, unit, date
Every AI answer ships with its underlying SQL exposed
Saved dashboards and query history, not one-off exploration
Teams sitting on dense operational data, production, cost, fuel, pricing, usually depend on analysts to export files, build spreadsheet views, and hand-craft the same charts every time a new question comes up. That works until the question changes, and then everyone waits again. Static dashboards are easy to read but hard to adapt; raw SQL access is powerful but out of reach for most stakeholders.
We built an analytics workspace that closes that gap end to end: import data, explore it through dynamic dashboards, or ask a question in plain language and get back an answer, the SQL behind it, a results table, and a chart, all from the same response. A clarification flow catches ambiguous questions before they produce a wrong answer, and every useful chart can be saved into a persistent dashboard instead of being recreated from scratch next time.
INSIDE THE PLATFORM.
Natural-Language Querying
Users ask questions in plain English and get generated answers, analysis, and recommended follow-up questions, no SQL knowledge required.
SQL Transparency by Design
Every AI-generated answer comes with the underlying SQL exposed and copyable, so technical users can verify, reuse, and extend the logic instead of taking it on faith.
Clarification & Recommendation Loops
Ambiguous questions trigger a clarification prompt instead of a guessed answer, improving analytical quality rather than just answering fast.
Rich, Real-World Filtering
Queries filter across scenario, company, network, facility, unit, and date range, the actual dimensions operational teams reason in, not just totals.
Data Import as a First-Class Feature
File upload, processed-sheet history, and cleanup workflows are built into the product, not treated as a hidden admin afterthought.
Saved, Reusable Dashboards
Charts, axis settings, and query logic persist as reusable dashboard assets, turning one-off exploration into an ongoing analytics capability.
“Static dashboards are easy to read but hard to adapt. SQL tools are powerful but inaccessible. AI tools are convenient but often opaque. The platforms worth building sit between those extremes, guided access to insight without losing the transparency that makes people trust it.”