Pluggable.
Philosophical.
Powerful.

A diagnostic analytics platform
that learns every domain it enters.

Every organisation has the same shape of pain.

  • Multiple source systems — different ERPs, different column names, different export formats. No canonical truth.
  • Reconciliation is manual — spreadsheets, ad-hoc queries, tribal knowledge. Findings don't accumulate.
  • Domain expertise is scarce — the person who knows what “normal” looks like retires, changes roles, or was never hired.
  • Every new domain starts from zero — new industry, new consultants, new six-month discovery phase.

One engine. Pluggable domain packs.
AI as the subject matter expert.

The Engine
Medallion pipeline. YAML-to-SQL compilers.
Multi-tenant isolation. Taxonomy engine.
Explorer. AI-powered REPL.

How to ingest, validate, diagnose, and present.
Domain-agnostic. Ships once.
The Domain Pack
Entity schemas. Source-system mappings.
Diagnostic rules. Interpretation logic.
Tri-lingual display text.

What to look for and why it matters.
All YAML. All swappable.
The AI
Subject matter expertise on demand.
ERP data formats. Business logic.
Regulatory context. Thresholds.

Who brings the knowledge — at scale.
New domain = new conversation.

Make. Explore. Evolve.

Make
Compile artifacts.
Build the database.
Validate everything.
→
Explore
See the findings.
Understand patterns.
Ask new questions.
→
Evolve
AI-assisted refinement.
Author new diagnostics.
Capture knowledge.

Evolve feeds back into Make. The cycle never ends.
Each turn produces a richer, more accurate analytical system.

The diagnostic shapes are the same everywhere

  • Balance probes — compare two aggregates. Usage vs billing. Received vs sold. Ordered vs delivered.
  • Duplicate detection — same shape everywhere. Duplicate invoices, shipments, purchase orders.
  • Trend analysis — rolling average drift. Costs, lead times, defect rates. The math is identical.
  • Taxonomy hierarchies — cost centres, product categories, regional structures. Same closure table, different labels.

The entity names change. The architecture doesn't.

Anywhere with material/resource flows
and financial reconciliation

Healthcare
Cases, procedures, materials, billing
Revenue leakage, compliance gaps, cost outliers
Manufacturing
Work orders, BOMs, inventory, shipments
Phantom consumption, BOM variance, scrap anomalies
Pharma & Life Sciences
Batches, formulations, QC results, distribution
Yield deviation, expiry risk, recall traceability
Retail & Warehouse
Purchase orders, stock movements, sales, returns
Shrinkage detection, dead stock, delivery anomalies
Public Sector Procurement
Tenders, contracts, invoices, deliveries
Duplicate invoicing, contract compliance, budget overruns
Construction
Projects, material requisitions, deliveries, invoices
Material waste, subcontractor billing anomalies

Open engine. Expert domain packs.

jinflow Engine
Pipeline, compilers, Explorer.
Open or source-available.
Drives adoption and trust.

The platform. Free to evaluate.
Domain Packs
Diagnostic rules, interpretation,
regulatory context, calibrated thresholds.
Subscription per tenant.

The expertise. The revenue.
Custom Domains
Consulting engagement to build
a domain pack for a new industry.
AI-accelerated. Weeks, not months.

The growth engine.

Each domain pack makes
the platform smarter for the next one.

Domain A
new probe types
→
Domain B
better thresholds
→
Domain C
richer DSL
→
Compound
Expertise

Calibrated thresholds. Interpretation rules. Regulatory knowledge.
Source-system expertise. All encoded in domain packs.

The framework gets better at every domain because it's been to others.

The framework
that learns every domain
it enters.

Highly automated. Deeply interactive.
AI brings the expertise. The engine makes it actionable.
Each deployment makes the next one faster.

One framework. Many domains. Infinite expertise.

jinflow.io