DABstep - actioneer

Heterogeneous Retrieval

Heterogeneous Retrieval: When the Answer Requires Both a Query and a Document

Why most AI data platforms fail at heterogeneous retrieval, combining SQL queries with document rules, and how BFSI buyers should evaluate AI vendors.

The 72-point accuracy gap between academic SQL benchmarks and real enterprise financial databases

text-to-SQL enterprise accuracy

Why 86% Accuracy Doesn't Survive Your Database?

Why AI data tools score 86% on SQL benchmarks but fail on real enterprise data: the four failure modes, the 72.05-point benchmark gap, and how to close it.

The three structural walls of building text-to-SQL in-house: schema, grounding decay, benchmark gap

text-to-SQL enterprise AI

The Three Walls Every Team Hits When Building Text-to-SQL Internally

Why internal text-to-SQL builds hit three walls: schema mapping, grounding decay, and benchmark gaps. How enterprise teams decide to build or plug in.

DABstep

Actioneer Ranked #1 on DABstep: What Multi-Step Data Reasoning Accuracy Actually Means

Actioneer v0.5 ranked #1 on DABstep with 93.78% accuracy on 450 financial data tasks. What the benchmark tests and why hard set accuracy matters.

enterprise AI architecture

Harness Design Beats Model Scale: How Actioneer Achieves State-of-the-Art Accuracy at Lower Cost

Actioneer's role-separated AI harness achieves 78.8% on KramaBench and 95.8% on DABstep at 40% lower cost per correct answer than monolithic frontier deployment. How harness design beats model scale.