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The Problem

Your data has the answer. Getting to it should not take a week.

The context that makes enterprise data readable — what each table means, how systems connect, what business terms map to what columns — exists nowhere in writing. It lives in a handful of people. So every question becomes a request. Every request joins a queue. And decisions wait.

  • Knowledge trapped in people

    Thousands of tables. Cryptic naming. Relationships only specialists understand. Without that context, no tool can give you the right answer.

  • Analysts are a bottleneck

    Every data question flows through the same few people. The backlog grows. The business waits. That is not a people problem — it is a systems problem.

  • Generic AI gets it wrong

    Tools that read raw schema and guess work on simple databases. On Oracle, SAP, or PeopleSoft, they produce answers that look right and are not. That is the most dangerous kind of mistake.

How It Works

One interface. Three ways to answer. All of them grounded.

At the core of Data Ask is the Application Knowledge Graph — built automatically by Data Sense from your actual enterprise schema. It encodes what your data means, how it relates, and what business terms map to which tables. That is what makes the answers right.

Every question you ask goes through a single interface. The Conversation Router classifies it and routes it to the right engine automatically — no configuration, no switching tools.

Data ask how it works
Three Modes of Access

Structured. Unstructured. Hybrid.

One governed interface routes your question to the right engine automatically.

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Why the Answers Are Right

Generic tools guess. Data Ask knows.

Most natural-language tools send an LLM to read your database schema and infer what it means. On simple, well-named schemas, they manage. On Oracle EBS, SAP, or PeopleSoft — they produce confident wrong answers.

The Application Knowledge Graph changes that. It is built automatically by Data Sense directly from your schema — encoding structure, relationships, business terms, and tested query patterns. The model is not guessing. It knows what your data means.

Pre-built AKGs are available today for Oracle E-Business Suite and SAP (ECC and S/4HANA). Custom AKGs for any other application are built via the Data Sense Builder. No data migration required. The data stays where it lives.

Generic NL2SQL

Reads raw schema. Infers meaning. Fails on complex enterprise applications — and the wrong answer looks reasonable.

Data Ask + AKG

The AKG encodes your application's meaning. The model is grounded in what your data actually represents — not what its column names suggest.

Cross-Application Query

Span multiple enterprise systems in a single question. Joined, grounded, answered as one response.

Use Cases

Every team. Every domain.

The same interface serves Finance, Operations, HR, Compliance, and more.

  • Finance & Operations

    AR aging, AP exposure, period-end close diagnostics, supplier spend — answered on demand without a DBA ticket or a two-day wait.

  • Supply Chain & Inventory

    Inventory turns, stockout exposure, supplier performance, procurement-to-pay analytics — across structured data and procurement documents in one response.

  • Compliance & Audit

    Policy-grounded answers across contracts and procedures. Structured questions and document questions answered together — every claim cited to its source.

Governance

Every answer is governed. No exceptions.

Access controls, PII filtering, and audit logging apply to every query — whether it hits a database, a document, or both. Governance is not a layer on top. It is built in.

  • Permission-checked at the data layer

    No query executes without authorisation. Access controls apply uniformly — across structured and unstructured sources, before the answer is generated.

  • Complete audit trail

    Every query is logged. Every answer is traceable. The audit posture is identical whether the question is structured, document-based, or a hybrid of both.

  • PII filtering built in

    PII filtering, retention tags, and data controls apply at query time — not after the fact. Sensitive data is protected before the answer leaves the system.

Why Data Ask

Four things that set it apart.

Access controls, PII filtering, and audit logging apply to every query — whether it hits a database, a document, or both. Governance is not a layer on top. It is built in.

  • Right answers on hard schemas

    The AKG is why it works where generic tools fail. Grounded in your application's meaning, not guessing from column names.

  • Hybrid answers in one response

    Database results and document insights in a single cited answer. A governed capability rare among enterprise AI platforms.

  • Works where your data already lives

    Production databases, archived data in the Common Data Platform, lakehouses, cloud ERPs. No migration. No disruption.

  • Pay for what you use

    Consumption-based pricing tied to queries performed and applications enabled — not per-seat licensing.

Resources

Related Resources

Explore related resources to gain deeper insights, helpful guides, and expert tips for your ongoing success.

Why Us

Why SOLIXCloud

SOLIXCloud offers scalable, secure, and compliant cloud archiving that optimizes costs, boosts performance, and ensures data governance.

  • Common Data Platform

    Common Data Platform

    Unified archive for structured, unstructured and semi-structured data.

  • Reduce Risk

    Reduce Risk

    Policy driven archiving and data retention

  • Continuous Support

    Continuous Support

    Solix offers world-class support from experts 24/7 to meet your data management needs.

  • On-demand AI

    On-demand AI

    Elastic offering to scale storage and support with your project

  • Fully Managed

    Fully Managed

    Software as-a-service offering

  • Secure & Compliant

    Secure & Compliant

    Comprehensive Data Governance

  • Free to Start

    Free to Start

    Pay-as-you-go monthly subscription so you only purchase what you need.

  • End-User Friendly

    End-User Friendly

    End-user data access with flexibility for format options.