AI makes mistakes. Superficial fixes them.

Superficial is the audit layer for AI, built to eliminate hallucinations and make large language models reliable for high-stakes, real-world applications.

Check the accuracy of any AI model output

Limited public preview of Superficial's AI audit capabilities. Accuracy scoring is based on our Superfacts Benchmark.

Superficial API

A developer-first API for deterministically verifying AI-generated content to eliminate hallucinations with speed, scale, and control before they impact users.

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Superficial App

Instantly eliminate hallucinations from any AI output - no setup or integration required. Verify against any source with automatic corrections applied in-line.

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Superficial Enterprise

Deploy complete hallucination elimination across your organisation with custom controls, SLAs, and fully traceable, compliance-ready audit trails.

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A powerful auditor for high-stakes AI use cases

Built to meet the demands of the EU AI Act

The EU AI Act requires high-risk systems to be transparent, auditable, and grounded in verifiable evidence. Superficial delivers deterministic claim verification, full audit trails, and exportable compliance reports - all by design.

Verifies factual claims with web and file-based grounding

Logs every verification with traceable, deterministic outputs

Flags unverifiable, biased, or inconsistent model statements

Automatically generates documentation for Article 10 compliance

Supports structured reporting for regulatory submission

Compliance isn't optional, and with Superficial, it isn't manual either.

Built to meet the demands of the EU AI Act

Benchmarks

Superficial-audited models achieve an average 99.5% one-shot factual accuracy on Google DeepMind's FACTS Benchmark.

View our Live Hallucination Benchmark

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Model outputs are scored using Google DeepMind's FACTS benchmark. When a model's response is marked "inaccurate" by FACTS, we one-shot enhance it using Superficial's audit results and re-score it with FACTS to independently measure Superficial's accuracy gains.

Our models

Low-latency, high precision claim extraction and grounding models with deterministic post-verification to ensure traceable, high-reliability AI outputs.

Flash 1

Our fastest, most affordable model for real-time, lower stakes use cases.

Latency: < 1 seconds per claim

Web grounding

Ground to PDF, office documents, images, audio, video + more

Claim theme extraction for lowest latency

Ideal for AI co-pilots and assistants, content review, sales enablement automation and internal QA

Pro 1

Our balanced model with low latency and high claim granularity for most applications

Latency: < 5 seconds per claim

Web grounding

Ground to PDF, office documents, images, audio, video + more

Deterministic verification

Atomic claim extraction for balanced accuracy and latency

Full traceability from output to source for auditability and regulatory compliance

Ideal for regulated deployments in finance, legal and healthcare, enterprise report generation and validation, contract review and compliance checks, model oversight and governance

Ultra 1

Our highest claim granularity with expansive grounding effort for critical, zero-miss, high-stakes uses.

Latency: < 30 seconds per claim

Web grounding

Ground to PDF, office documents, images, audio, video + more

Deterministic verification

Deepest atomic claim extraction for highest precision

Zero-error tolerance with in-built self-checks

Full traceability from output to source for auditability and regulatory compliance

Ideal for clinical decision support systems, legal advice and filings, board or public company communications, indemnified and regulated workflows

If it's not verified, it's a vulnerability.

Start eliminating hallucinations across your workflows