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Enterprise-Grade AI Accuracy You Can Verify

95%+ Accuracy With Automated Testing, Explainability, And Human Oversight

Druid helps you launch AI agents you can trust. Automated QA agents stress-test flows and knowledge before release. Every interaction is logged for audit and replay. Validation metrics, guardrails, and human oversight keep answers factual, compliant, and consistent across channels.

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Automated QA, Built In

Testing, Validation, and Improvements on Autopilot

Druid’s QA Agent continuously evaluates conversational and workflow accuracy, running regression, A/B, and persona-based scenario tests to catch errors early. Confidence scores, precision/recall metrics, and drift alerts keep AI agents reliable long before release.

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Evidence You Can Audit

Inspect, Replay, and Learn From Every Interaction

Every interaction (messages, variables, prompts, and decisions) is timestamped, indexed, and fully replayable. Teams can review context, analyze misclassifications, and annotate corrections to feed real-world improvements back into training and evaluation.

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Governed, Grounded, and Explainable AI

Governance, Explainability, and Accuracy Working Together

Each response is traceable, source-grounded, and policy-safe. RAG grounding, role-based access, and PII redaction ensure compliance, while LIME-based explainability reveals why each intent matched, helping teams fine-tune accuracy directly from insight.

Accuracy You Can Trust

Closed-Loop Quality From Design To Production

Druid combines pre-release testing, governed generation, and runtime observability to keep accuracy consistently high. Every answer is grounded, validated, and auditable, so you can verify quality before launch and keep improving after.

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Measurable Accuracy, End To End

Druid combines pre-release testing with runtime observability and human oversight. From automated test generation to replayable histories and governed prompts, you get a closed loop for continuous improvement.
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Conversation History & Replay Analytics

Search, filter, and replay any conversation. Inspect intents, entities, prompts, memory, and tool calls to see exactly why an answer was given.
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Train Logs & Validation Metrics

Track intent coverage, confusion matrices, accuracy rate, fallback triggers, and drift over time. Set alerts for KPI thresholds and SLA risks.
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RAG Grounding & Output Guardrails

Ground responses in your approved knowledge sources; enforce PII masking, toxicity filters, and policy boundaries to prevent unsafe or off-scope answers.

Questions & Answers

Frequently asked questions

Get answers to the most common questions about accuracy in the Druid platform and the agentic AI orchestration engine that works in the enterprise.

How does Druid reduce hallucinations?

By grounding generation with its Knowledgebase (RAG), validating outputs against enterprise sources, and enforcing moderation and PII redaction before responses are sent.

Can we replay conversations to audit a decision?
Yes. Every step is logged and searchable. You can replay sessions, inspect prompts/context, and trace tool calls to identify improvements.
What automated tests are included?
The QA Agent runs persona-based scenario tests, regression, and A/B suites for flows, knowledge answers, and workflow actions, with exportable reports.
Which accuracy metrics are available out of the box?
Track precision, recall, confidence, fallback, and success rates—plus drift analysis and SLA alerts. Dashboards and reports show accuracy by model, flow, or source, with automated testing to flag issues early.

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Partners and Solution Builders

Top consulting firms and technology vendors partner with DRUID to craft powerful AI solutions
for enterprises of all sizes and industries. Anytime, anywhere.

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Accuracy. Reliability. Control.

AI Accuracy You Can Measure, Before And After Go-Live

Request a working session with one of our experts to review prerequisites, data sources, and guardrails. We’ll replay real conversations, pinpoint accuracy gaps, and define a prioritized plan to hit 96%+ in production.

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