KnownLayer
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Data trust control layer for small teams

Messy business files in. Trusted AI and reporting data out.

KnownLayer helps teams turn spreadsheets, CSVs, exports, and operational data into approved, evidence-backed datasets for AI, dashboards, APIs, and official reporting.

Start with your first messy file View the trust workflow
✓AI readiness ✓Reporting readiness ✓Evidence-backed values ✓Locked baselines
KnownLayer Trust Workspace
Locked Baseline

CD Reporting Baseline

Historical data locked with evidence, hashes, and change control.

Ready
KnownScore 92
Evidence 84%
Rows Locked 18.4k
1
Raw Excel preservedOriginal file stored unchanged with hash.
Verified
2
Clean batch approvedFix log shows before, after, rule, and reviewer.
Approved
3
Evidence chain linkedKey values tied to source rows, work orders, and payments.
Review 6
4
Reported baseline lockedRow hashes, file hashes, manifest, and control totals exported.
Locked

The model is not the problem. The data is.

Small teams do not fail at AI or reporting because they lack tools. They fail because their data lives in spreadsheets, exports, stale databases, undocumented rules, and tribal knowledge.

  • !Reports depend on files only one person understands.
  • !AI gets access to data nobody has approved.
  • !Historical numbers change without a clear audit trail.
  • !Evidence is scattered across emails, PDFs, screenshots, and systems.

KnownLayer adds the missing trust layer.

It gives teams a controlled path from messy data to approved data products that can be safely used by AI, dashboards, APIs, and official reports.

  • ✓Preserve raw files unchanged and profile what is inside.
  • ✓Approve cleaning rules before trusted data is created.
  • ✓Link important values to source evidence and reviewer decisions.
  • ✓Lock official reporting snapshots with hashes, manifests, and correction logs.
Trust workflow

From raw files to approved data, without losing the proof trail.

KnownLayer gives every dataset a clear path: inspect it, clean it, validate it, approve it, support it with evidence, then decide whether it is ready for AI, reporting, or both.

1

Upload or connect

Bring in CSV, Excel, JSON, Parquet, or Postgres snapshots. Raw source files stay preserved.

2

Profile and detect

Find sheets, tables, nulls, duplicates, schema drift, outliers, PII, and suspicious patterns.

3

Clean with approval

Apply deterministic fixes only after review. Every change creates a before and after fix log.

4

Validate and merge

Run contracts, quality checks, merge previews, lineage, metrics, and KnownScore readiness.

5

Use with control

Export AI-safe context packs, lock reporting baselines, or send unresolved risks to review.

Ready for AI

AI only uses data that has passed contracts, quality checks, PII policy, lineage, KnownScore, and review gates.

  • AI-safe context pack export
  • Governed AI Q&A over approved datasets
  • Audited queries tied to users and API keys
  • Warnings, freshness, metric definitions, and reasoning paths

Ready for Reporting

Official reporting snapshots can be validated, approved, locked, compared, corrected, and exported with audit evidence.

  • Locked reported baselines
  • Row hashes, file hashes, and report manifests
  • Control totals and closed-period warnings
  • Correction logs and audit package export
Platform capabilities

Everything small teams need to make data usable, explainable, and defensible.

KnownLayer is not a warehouse, BI tool, or generic chatbot. It is the trust gate between messy operational data and the systems that depend on it.

01

Source intake and preservation

Upload files or snapshot Postgres sources while keeping raw source files unchanged in object storage.

  • CSV, Excel, JSON, Parquet
  • Multi-sheet and multi-table detection
  • R2-backed raw storage and artifact tracking
02

Profiling and data quality

Turn unknown files into understandable datasets with profiles, failed-row samples, and executable checks.

  • Nulls, duplicates, uniqueness, and freshness
  • Schema drift and PII findings
  • Threshold, row-count, and quality result history
03

Cleaning rules and fix logs

Approve safe transformations without losing the record of what changed, who approved it, and why.

  • Safe fixes, approval-required fixes, human review
  • Before and after value logs
  • Contract-blocked merge protection
04

Master merge control

Preview inserts, duplicates, updates, and conflicts before a clean batch becomes trusted master data.

  • Entity, event, and snapshot merge modes
  • Conflict review before approval
  • Versioned master tables
05

Contracts, metrics, and lineage

Define what the dataset is expected to be, how metrics are calculated, and where every number comes from.

  • Data contracts and downstream use cases
  • Governed metric definitions
  • Dataset and column-level lineage
06

KnownScore readiness

A practical readiness score explains whether a dataset is blocked, reviewable, AI-ready, or reporting-ready.

  • Quality, freshness, PII, lineage, and review inputs
  • Score deltas and fix plans
  • Trust Review Queue integration
Evidence Chain

Every important value should be able to answer, “Why should I trust this?”

KnownLayer links trusted records and values to source evidence, reviewer decisions, and audit history. Evidence is not just a file attachment. It is a proof chain tied to a claim.

  • ✓Attach proof to records, fields, corrections, baselines, metrics, and report artifacts.
  • ✓Track whether evidence supports, contradicts, explains, verifies, or approves a claim.
  • ✓Calculate evidence coverage and surface missing or conflicting proof.
  • ✓Keep AI output separate from proof. AI may summarize later, but real evidence comes from source artifacts.
Claim
reported_length_ft = 2,500 A specific value selected for official reporting.
Evidence
Work order, payment line, source row Real artifacts support quantity, completion, and source lineage.
Decision
Approved for reporting Reviewer decision, timestamp, audit event, and baseline inclusion.
Result
Evidence-backed and included in locked baseline Future changes become correction candidates, not silent edits.
Reporting change control

Protect official history after the report is sent.

Once a reporting baseline is locked, KnownLayer preserves what was reported. New information does not silently rewrite history. It becomes a comparison, correction candidate, forward-only adjustment, exclusion, or review item.

↔

Baseline comparison

Compare current trusted data to a locked reporting baseline to find changed rows, changed fields, removed records, and new records.

  • Current vs locked record comparison
  • Control-total difference calculation
  • Row and field-level diff inspection
⚠

Closed-period warnings

Warn and block unsafe merges when new uploads overlap a period that has already been locked for official reporting.

  • Closed period detection
  • Unsafe merge prevention
  • Correction candidate routing
☑

Audit package export

Export the baseline, manifest, hashes, control totals, correction log, evidence summary, and supporting artifacts for review.

  • Manifest and hash report
  • Evidence and correction registers
  • Report-ready export artifacts
Governance and access control

Trust decisions belong to real users, real roles, and real audit trails.

KnownLayer is built around workspace governance. Users, API keys, approvals, locks, evidence decisions, and AI queries are tied to identity and permission checks.

Workspace roles

Owners, admins, stewards, analysts, viewers, AI users, and auditors each get scoped access.

Separation of duties

Regulatory baselines can require separate preparation, review, approval, and lock actions.

API keys and automation

Service accounts can operate under controlled permissions without bypassing trust gates.

Audit activity

Track uploads, role changes, evidence decisions, baseline locks, exports, and AI queries.

Where KnownLayer fits

It does not replace your stack. It controls what your stack is allowed to trust.

KnownLayer sits between messy data sources and downstream use. It helps teams decide whether data is approved for AI, dashboards, APIs, official reports, and human decisions.

Ingestion tools

Move data from one place to another. KnownLayer decides if it is trusted enough to use.

dbt

Transforms modeled data. KnownLayer adds review, evidence, locks, and readiness gates for messy inputs.

Catalogs

Describe assets. KnownLayer controls approval, proof, reporting readiness, and AI access.

BI tools

Visualize data. KnownLayer helps prove the dataset behind the dashboard is ready.

Chat tools

Answer questions. KnownLayer controls what data those answers are allowed to use.

Best-fit teams

Built for teams stuck between Excel chaos and enterprise governance tools.

KnownLayer is practical for operators, analysts, founders, consultants, and teams who need trusted data without starting with a full enterprise data platform.

Compliance and official reporting

Lock historical reports, compare future data against closed periods, and export audit packages.

EPA/CD-style reporting Audit packages Correction logs

AI assistant preparation

Create context packs only from approved datasets with quality, PII, lineage, metrics, and review gates.

AI-safe context KnownScore Audited Q&A

Messy operational exports

Turn recurring CSVs, spreadsheets, source snapshots, and manual files into governed master data.

Excel workflows Fix logs Merge preview

Start with one messy file. End with a trusted baseline.

Upload a spreadsheet, profile the issues, approve the fixes, link the proof, lock the report, and give AI only the data your team has approved.

Request Pilot Review Workflow