Intelligence systems.
Built to be proven.

ADAT is the governed analytical canvas for non-technical executives. It replaces three separate tools — data preparation, visualisation, and AI querying — with a single workspace where every answer is certified, auditable, and reproducible.

Connect any data source — files, APIs, databases, or direct integrations. Ask any question in plain English. Receive one certified answer — with the full methodology shown, the formula explained, and the audit trail already recorded. The same question on the same data produces the same answer. Always. By architectural design.

ADAT deploys inside your infrastructure — your cloud, your servers, or your desktop. Your data never moves to answer a question. Flat, seat-based pricing. Unlimited questions.

What makes it different

• AI identifies the question. A certified template answers it. The AI never writes the SQL.
• Every metric has a permanent ID and a fixed, validated formula.
• Full audit trail generated automatically with every result.
• Deploys on-premises, private cloud, or desktop — zero data egress.
• One workspace replaces Alteryx, Tableau, and AI analyst tools.
• No per-query pricing. Ask ten questions or ten thousand. Same cost.

Every day, qualified candidates are overlooked. Not because they are unqualified — but because the systems standing between them and the right opportunity were not designed to surface merit. They were designed for speed and volume. Merit is neither.

Merita applies Chase Analytics Corporation's core conviction to the talent market: every assessment should be certifiable, every recommendation traceable, and every outcome defensible. The right candidates should not have to rely on chance, on knowing the right people, or on navigating systems that were never built in their favour.

Merita is built to make qualified talent findable — and to make the intelligence behind every recommendation provable.

The problem it solves

• Qualified candidates overlooked by opaque screening systems.
• Recommendations that cannot explain their methodology.
• Assessment outcomes that vary based on factors unrelated to merit.
• No audit trail for hiring decisions in regulated environments.
• The gap between capability and opportunity — made structural by bad intelligence.

Fraud does not announce itself. Neither does operational risk, systematic data manipulation, or the slow accumulation of anomalies that precede catastrophic failure. By the time conventional systems surface a signal, the damage is already done — or the signal has been buried under the noise of false positives that desensitise the people responsible for acting on them.

AADS applies certified intelligence to the detection problem. Every anomaly signal is traceable to a validated detection methodology. Every alert is explainable. Every false positive is reducible through governed refinement rather than through increasing the tolerance for genuine risk.

Built for financial institutions, healthcare systems, and regulated environments where every detection decision must be defensible.

The problem it solves

• Fraud signals that cannot be traced to a validated detection method.
• Alert systems that generate false positives and create response fatigue.
• Anomaly detection that varies by session rather than by fixed rule.
• No audit trail for detection decisions in regulatory environments.
• Black-box models that cannot explain why a transaction was flagged.