Your Quality Data, Finally at Your Fingertips
One AI layer across LIMS · QMS · ERP · MES · DMS
QA analysts spend most of their time pulling data from siloed systems and feeding it into statistical tools — manually. We give your team a single intelligent layer to query, reconcile, analyse, and act on all their quality data in plain English — and auto-populate APQR reports as the output.
Your QA Team Is Flying Blind
01
No Single Source of Truth
Quality data is scattered across LIMS, QMS, ERP, MES, and DMS — with no unified view. Every analysis starts with a manual data hunt.
02
Data Pulls Eat QA Time
Analysts spend most of their week exporting, cleaning, and reconciling data across systems — before any real quality thinking begins.
03
Trends Spotted Too Late
By the time data is compiled and analysed, the trend has already escalated into a deviation. There's no early warning system.
04
Blind Spots in Traceability
Manual hand-offs between systems mean no complete audit trail. When regulators ask "show me the data lineage," the answer is a folder of spreadsheets.
05
Statistical Tools Are Disconnected
Pulling data into Minitab or SAS by hand is slow, error-prone, and makes reanalysis a project in itself. Interpretation lives in analysts' heads, not the system.
06
QA Can't Self-Serve
Every data request goes through IT or the system owner. A QA analyst who wants to ask a simple question about batch yield has to wait days for a report.
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One AI Layer Across
All Your Quality Systems
Connect All Your Systems
We build an AI data layer on top of LIMS, QMS, ERP, MES, DMS — and more. No ripping and replacing your existing software.
Ask Anything in Plain English
Your QA team queries the data directly — "Show OOS rate for Product A last 6 months" or "Reconcile batch yields across MES and ERP for Q2" — no IT ticket needed.
AI Interprets & Analyses
Statistical analysis — Cpk, control charts, Nelson rules — runs automatically. The AI interprets the results, highlights trends, and flags anomalies before they escalate.
Auto-Populate APQR Reports
Once your QA team has full data visibility, the system populates APQR forms with the right graphs, tables, and data — ready for review and e-signature approval.
Query data from LIMS, QMS, ERP, MES and DMS in one place — no switching between systems.
Ask "Which products have open OOS issues this quarter?" and get an instant, cross-system answer
Reconcile discrepancies between systems using plain English — the AI surfaces conflicts automatically.
Full data lineage on every metric — trace any number back to its source record, timestamp, and system.
Every System. One View. Zero Waiting
For the first time, your QA team can see quality data from LIMS, QMS, ERP, MES, and DMS in a single unified view — with full traceability back to the source system.
Built Around How QA Analysts Actually Work
Stop exporting, copy-pasting, and waiting. Our AI layer sits across all your quality systems and gives your team the answers — instantly.
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Ask Anything — Plain English Queries
Any QA analyst can query data from any connected system in plain English. Batch records, yield trends, OOS history, deviation counts — instant answers, no IT needed.
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AI Trend Analysis & Interpretation
The AI doesn't just chart the data — it interprets it. Cpk trends, Nelson rule violations, yield drifts, and OOS patterns are surfaced with plain-language explanations your team can act on immediately.
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Cross-System Data Reconciliation
Automatically pull and reconcile data from LIMS, QMS, ERP, MES, and DMS. The AI identifies discrepancies between systems and flags them for your team — no manual cross-checking.
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APQR Auto-Population
Once the analysis is done, the AI populates APQR forms with the relevant graphs, tables, and interpretations — ready for QA review, e-signature, and regulatory submission.
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100% Data Traceability
Every query, data pull, interpretation, and report action is logged with a complete audit trail — traceable back to the source system. Inspection-ready by default.
AI auto-populates APQR sections with the right data, graphs, and trend interpretations — no manual copy-paste.
Every report version is tracked — Draft, In Review, Completed — with timestamps, requestor, and approver details.
Approve directly in-system with 21 CFR Part 11-compliant e-signatures and a full audit log.
Download to PDF for regulatory submissions in one click — formatted, complete, and inspection-ready.
APQR Reports That Write Themselves.
Once your QA team has visibility of the data, generating the APQR is the easy part. The system populates the report automatically — graphs, tables, trend summaries, and all — with full version control and one-click approval.
APQRGEN in Play
The Three Pillars of the BayesPair Suite
The BayesPair Suite is composed of three interconnected applications:
BayesConnect, BayesVision, and BayesCanvas.
BayesConnect: The Chat Tool
Converse. Collect. Connect.
What it does: Collects patient history via chat
BayesConnect is a chat assistant that collects patient and family details, together with their medical history. It makes family history-taking faster, simpler, and more accurate through a detailed and intuitive questionnaire. It guides users step-by-step, ensuring every relevant relationship and condition is captured effortlessly for downstream pedigree generation.
BayesVision: The Digitizer
See connections clearly.
What it does: Digitizes hand-drawn pedigrees
BayesVision uses advanced AI and computer vision to read and digitize hand-drawn pedigree charts. Built for precision and speed, it transforms complex family relationships into structured, editable digital formats for effortless updating and analysis. It converts your existing paper records into data-rich digital formats.
BayesCanvas: The Drawing Tool
Draw. Edit. Understand.
What it does: Creates and modifies digital family trees
BayesCanvas is an intuitive pedigree design platform that lets clinicians and researchers easily create, modify, and visualize family trees with clarity. Designed for genetic clinicians and consultants, it offers a flexible workspace for constructing accurate family trees. It's the central hub for visualizing and editing your hereditary data.
Full-stack automation (design → deploy)
Generate technical specs and project plans up front; auto-provision IAM roles, Glue triggers, jobs, and S3 layouts—no brittle manual scripts.
Zero-downtime snapshot + sync
Migrate historical data and continuously capture live changes with idempotent, resumable jobs for clean, repeatable cutovers.
Integrity by default
Built-in reconciliation (schema + data), precision/scale checks, and automated rollbacks protect production and ensure 1:1 fidelity.
Performance & cost optimization
Intelligent micro-batching and Iceberg compaction reduce tiny files, keep metadata lean, and sustain query performance at scale.
What Changes When QA Has Full Data Visibility
80%
Less time spent on manual data collection and reconciliation.
Zero
Manual exports, copy-pastes, or IT tickets to get your data.
6σ
Statistical analysis interpreted by AI — trends caught weeks earlier.
100%
Data traceability from source system to final report.
Industry Recognition
20th Manchester Dysmorphology and Developmental Disorders Conference in Manchester, United Kingdom.