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Generic AI tools fail on enterprise data

Echo maps 1,056+ business fields before writing a single query. That's why accuracy is 95%+.

~65% accuracy

Generic NL-to-SQL tools collapse on real enterprise schemas with thousands of tables and cryptic column names

Opaque column names

SAP columns like BELNR_CONCAT, NETWR, BUKRS mean nothing to a general-purpose LLM without deep domain mapping

2-5 day turnaround

Every ad-hoc data question requires an analyst to write SQL manually, creating a bottleneck that slows decisions

Real Question. Real Data. Real Decisions

Echo

Verified

QUESTION Which cost centers exceeded their annual budget by more than 10%?

Verified · 2 tables joined · 1 iteration

Cost Center	Budget	Actual	Variance
Marketing HQ	12.0	14.3	+19.2%
R&D Lab 2	8.5	9.8	+15.3%


               SELECT cc.name, cc.budget,
               SUM(a.amount) AS actual,
               ROUND((SUM(a.amount) - cc.budget) / cc.budget * 100, 1) AS variance_pct
               FROM cost_centers cc
               JOIN actuals a ON cc.id = a.cost_center_id
               WHERE a.fiscal_year = 2026
               GROUP BY cc.name, cc.budget
               HAVING variance_pct > 10
               ORDER BY variance_pct DESC

Echo

Verified

QUESTION Top 10 vendors by purchase order value this quarter

Verified · 2 tables joined · 1 iteration

Vendor	PO Value	Terms
Tata Steel	42.3	Net 45
L&T	38.7	Net 60


            SELECT cc.name, cc.budget,
            SUM(a.amount) AS actual,
            ROUND((SUM(a.amount) - cc.budget) / cc.budget * 100, 1) AS variance_pct
            FROM cost_centers cc
            JOIN actuals a ON cc.id = a.cost_center_id
            WHERE a.fiscal_year = 2026
            GROUP BY cc.name, cc.budget
            HAVING variance_pct > 10
            ORDER BY variance_pct DESC

Echo

Verified

QUESTION Plant-wise production output vs target for the current month

Verified · 2 tables joined · 1 iteration

Plant	Target	Actual	Achievement
Pune	12000	11640	97%
Chennai	8500	8840	104%


            SELECT cc.name, cc.budget,
            SUM(a.amount) AS actual,
            ROUND((SUM(a.amount) - cc.budget) / cc.budget * 100, 1) AS variance_pct
            FROM cost_centers cc
            JOIN actuals a ON cc.id = a.cost_center_id
            WHERE a.fiscal_year = 2026
            GROUP BY cc.name, cc.budget
            HAVING variance_pct > 10
            ORDER BY variance_pct DESC