Expected release: Q3 2026 SOC 2 Type II pending

NATIVE MACOS REDACTION WORKSPACE

Turn messy document review into a precise, defensible redaction workflow.

Obscura is built for privacy, legal, and security teams that need to intake mixed document sets, classify DSAR relevance, run Gen AI-driven redaction workflows, validate outcomes with machine-learning scoring, and export a clean audit trail without stitching together five different tools.

  • Handle scans, PDFs, spreadsheets, Office files, mail, folders, and ZIP batches in one place.
  • Blend OCR, phrase rules, common-PII detection, Gen AI redaction passes, and machine-learning validation.
  • Move from DSAR review to export-ready redactions with prompt history and audit records intact.
Obscura mark

Obscura Workspace

From intake to final export
Gen AI driven • ML validated
Redaction canvas
Black box Blur Label Transparent preview

PRODUCT PREVIEW

See the native Obscura workspace in action.

A live view of the redaction studio, showing document intake, page review, controls, AI tooling, and audit context in one workspace.

Obscura app workspace showing documents, page preview, redaction controls, AI prompt tools, and audit trail
8 intake paths supported, from camera captures to mail files
5 redaction lanes across manual, rules, PII, Gen AI, and ML-backed local validation
3 export views for original, transparent overlay, or fully redacted output
3 audit-friendly records spanning prompt history, redaction history, and audit trails
Camera captures Photos and scans PDF Excel CSV / TSV Numbers previews Office documents Mail files Folders ZIP batches

FEATURE STACK

Built for teams that cannot afford to miss a line.

Obscura combines the speed of automated detection with the control reviewers need when the stakes are legal, regulatory, or reputational, with Gen AI handling first-pass acceleration and machine-learning validation strengthening confidence before export.

Intake without cleanup first

Bring mixed evidence into one reviewable workspace.

Import files, folders, and ZIP archives. Bring in camera captures, photos, PDFs, spreadsheets, Office documents, Numbers previews, and mail files without forcing everything through a separate preprocessing step.

Structured extraction

Use OCR and document parsing to surface the text that matters.

Obscura extracts text from scanned pages and image-heavy documents, parses spreadsheet content, and renders structured previews so reviewers can work from a consistent editing surface.

Multiple redaction lanes

Switch between manual precision and automated passes.

Apply drag-and-resize boxes, phrase rules, common-PII detection for details like emails, phones, addresses, SSNs, and identifiers, or run prompt-driven AI suggestions where you want faster first-pass coverage.

Gen AI + ML validation

Run Gen AI-led passes with machine-learning confidence layered underneath.

Obscura is designed to use Gen AI to accelerate first-pass redaction and DSAR review work, then reinforce those decisions with machine-learning validation and local scoring before a reviewer sends anything out.

Reviewer control

Keep humans in charge of every sensitive decision.

Reviewers can refine each placement, switch between black box, white box, label, or blur, preview redactions before export, and keep the final result aligned with policy and context.

DSAR review workflow

Classify responsive documents before you redact the set.

Run DSAR review across loaded documents, mark items as responsive or needing review, attach request context, and move the responsive subset directly into the redaction flow.

Audit and export

Finish with exports your team can defend.

Export original files, transparent overlays, or fully burned-in redactions to folders or ZIP archives, then back the work up with prompt history, project redaction history, and audit trail exports.

WORKFLOW

A practical path from intake to release-ready output.

The product story is simple: bring the raw set in, understand scope, apply the right redactions, and export without losing traceability.

01

Ingest the full set

Drop files, folders, or archives into one workspace and normalize them into reviewable pages.

02

Review relevance

Run DSAR classification, inspect supporting excerpts, and validate what belongs in scope.

03

Redact with intent

Combine manual controls, rules, common-PII detection, Gen AI suggestions, and local ML-backed pattern scoring.

04

Export with proof

Ship the final package as redacted output, transparent overlays, or originals backed by audit records.

WHO IT IS FOR

Designed for the people who own the risk.

Privacy teams

Review DSAR scope faster, keep reviewer decisions visible, and reduce time spent bouncing between tools.

Legal operations

Move from intake to defensible production with better control over what was hidden, why, and when.

Security and trust

Handle internal investigations, sensitive exports, and document clean-up without losing process clarity.

TRUST SIGNALS

Security posture that stays honest about where the product is today.

Obscura is being positioned for teams that need strong operational hygiene around sensitive material, review history, and exported outputs.

Cloud-backed access

Account access and saved review workflows are built into the product direction from the start.

Traceable AI decisions

Prompt history, redaction history, validation signals, and audit exports help teams explain how decisions were made.

SOC 2 Type II pending

Security program and controls are in progress. The page makes the status explicit instead of overstating readiness.

LAUNCH WINDOW

Obscura is expected to launch in the third quarter of 2026.

The product is aimed at teams that want a calmer, more controlled redaction workflow before sensitive information leaves the building. If the workflow above fits your world, this is the moment to get Obscura on the shortlist.

Want more information or a direct conversation? Email info@boldtec.io.

Expected release: Q3 2026 SOC 2 Type II pending Gen AI driven • ML validated