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Responsible AI

built in.

Guardrails, sensitive-data masking and full answer logs come with every NeuralSeek deployment.

Where the controls act

Controls at every step of an answer

Each step from prompt to answer has its own controls, and they come with every deployment.

In the console

Review the quality of every answer

Governance shows confidence, coverage, user ratings and hallucinated terms across your answers, so your team can review quality and act on it.

Checked as the prompt arrives.

console › governance › insights
The governance dashboard in the console, listing runs with their scores and policy outcomes.
The governance view in the NeuralSeek console.

Controls in every deployment

Every NeuralSeek deployment ships with the same controls.

  • Grounded and scored

    Answers come from your own content, with a confidence score so your team can see how well each one is supported.

  • Guardrails on every request

    Prompt-injection protection and profanity guardrails check each request before the model answers.

  • Answer provenance

    Highlight where each part of an answer came from, so a reviewer can check it against the source.

  • Your model, your infrastructure

    Bring your own LLM, and run NeuralSeek in your own cloud, in your data center or fully air-gapped.

  • PII detection and redaction

    Flag, mask, hide or delete personal data, configured by topic.

  • Full audit trail

    Every question, answer, score and settings change is logged, timestamped and attributed. Export it to S3, Splunk or Datadog.

Questions risk teams ask

Short answers on accuracy, agents and your data.

  1. How do we know an answer is accurate?

    Each answer carries confidence scores and shows the source passages it came from. Governance flags hallucinated terms so your team can review them.

  2. Do agents get the same controls?

    Yes. Agents built in mAIstro include prompt-injection protection and profanity guardrails, and their runs are logged for review.

  3. Is our data used to train models?

    No. Neither NeuralSeek nor its sub-processors use customer data to train models.

Start building with NeuralSeek today.

Sign up online and start with a two-week trial, or talk to a NeuralSeek expert about running it in your own cloud.