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Designed for connected examinationSeven evidence categoriesSpecific questions. Defined outputs.Source-linked workflows

01 / THE ADMISSIBLE DIFFERENCE

More insight.
Fewer disconnected steps.

Bring focused tools, clear output types and evidence context into one examination journey.

02 / TRADITIONAL TASKS. A CONNECTED APPROACH.

See where the
workflow changes.

Compare tasks commonly performed manually or across separate specialist tools with the corresponding Admissible Lab workflow.

03 / MODEL YOUR OWN WORKFLOW

What could
the difference be?

Estimate staff time and total cost using your own assumptions. Include preparation, verification, rework and reporting in both hour estimates.

04 / ACCURACY & RELIABILITY

Understand the signal
behind the result.

Quantified evidence makes a comparison more explicit. Performance still depends on the specific method, source quality, reference material and validation coverage.

How should time savings and accuracy be evaluated together?

Compare the same tasks on representative material with known ground truth and the same reporting standard. Record total staff effort, elapsed turnaround, rework and the method’s appropriate error measures. Repeatability, decision accuracy and processing speed are different properties; no platform-wide accuracy increase is claimed.

05 / ONE PLATFORM. CONNECTED CAPABILITIES.

Follow the evidence
across disciplines.

Explore the technical depth behind the workflow, from comparison and diagnostic screening to clarification and reporting.

06 / BEFORE YOU START

Clear answers.
A better starting point.

What makes Admissible Lab different?

Admissible Lab connects purpose-specific forensic workflows across signatures, handwriting, documents, images, audio and video. It brings quantified outputs, source context and non-generative clarification into a connected examination and reporting process.

How much time or cost can the platform save?

The difference depends on your baseline process, source quality, chosen methods and reporting scope. Use the estimator with your own staff hours and allocated costs, then compare those assumptions with measured work. The displayed example is not a product performance benchmark.

Does AI-assisted analysis automatically improve accuracy?

No universal accuracy uplift is claimed. A method may add useful measurements or screening signals, but its performance must be assessed for the intended evidence and task. The research and module pages describe output types and available validation scope.

Does enhancement generate missing details?

The described enhancement workflows use non-generative processing to reduce noise or adjust contrast and level using captured information. They produce separate viewing or listening copies, with the original retained.

Can I see the platform with my team’s use case?

Request a platform demonstration and describe the evidence category or workflow you want to explore. The public contact form is for enquiries; it does not accept evidence uploads.

YOUR NEXT INVESTIGATION

See the difference
in your workflow.

Explore the platform around the evidence questions your team handles.

Request a demonstration

FROM SOURCE TO OUTPUT

See what the tools contribute.

Explore the measured features, processing stages and source relationships behind the workflow.

See how analysis works