One loop that never stops improving your operation.
Problems get seen earlier, fixed faster, and engineered out permanently. Three modules run the loop — Datapro-V™, DNAI™ and DNOVA™ — and every decision they make is grounded in the DNA of your process, not an industry average.
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Datapro-V™
The live map -
DNAI™
Root cause & recommended fix -
DNOVA™
Permanent process change
Datapro-V™: The DNA of your supply chain process
Datapro-V™ is our core proprietary patented framework and technology that grounds every decision the AI makes to the DNA of your process and KPIs that matter to your business.
Every step — person, system, machine — on one live canvas. Not a diagram: the ground truth every insight stands on.
Rachel Patel 
Daniel Cooper Baselines defined by your standards, not industry averages.
Who owns what, what connects to what — so every answer is specific, never generic.
The live canvas of your operation.
Your operation mapped node by node — every step, every owner, every system on one live canvas. This is the process map every DNAI™ insight is grounded in.
Rachel Patel Daniel Cooper 
Viktor Schultz 
Mei Tanaka 
DNAI
2 insights
Tomasz Nowak 
Intelligence grounded in your operation.
Not a generic AI assistant. DNAI™ reads from your VSM, your KPI thresholds, and your Knowledge Graph — so every answer is specific to your process, your people, your data.
KPI Guard monitors every published VSM continuously. Alerts fire only when they're real — tuned against your baselines, never a wall of red. Each alert appears as a badge on the process step where it is occurring, not in a separate dashboard.
/ The badge opens an Insight Card — not just a number, but a ranked list of contributing drivers with data lineage citations and a confidence rating.
/ Recommend-and-confirm. Every action awaits supervisor approval — explicitly not autonomous.
A persistent chat interface on every page. Ask a question in plain language — DNAI™ translates it into a query against your data warehouse and Knowledge Graph, returns the answer with source citations, and stays on context across turns. Use @ to reference any VSM, employee, org unit, or asset directly.
/ Every answer cites which data it used — so you can verify the reasoning, not just accept the conclusion.
Copilot edits the map through conversation — and nothing publishes without sign-off.
Rachel Patel Daniel Cooper
DNAI
New Insight
Viktor Schultz Mei Tanaka
DNAI
2 insights
Tomasz Nowak Rachel Patel Daniel Cooper Viktor Schultz Mei Tanaka
DNAI
2 insights
Tomasz Nowak Rachel Patel Daniel Cooper Viktor Schultz Mei Tanaka
DNAI
2 insights
Tomasz Nowak Tomasz Nowak Turn recurring incidents into permanent improvement.
DNOVA™ — the Process Intelligence & Orchestration Engine. Where DNAI™ fixes today's incident, DNOVA™ reads the pattern across many incidents and makes the cause impossible to repeat — process-owner approved, codified into your operation.
The chronic issue is eliminated.
After 6 weeks of DNAI™ incidents, DNOVA™ identifies that 73% of Zone C pick errors occur on SKU clusters with look-alike packaging during temp-operator shifts. It proposes: mandatory scan-confirm for 44xx SKUs, an automated shift-start briefing for temp operators, and a packaging-differentiation flag in the WMS. Process owner approves.
Automation design codifies each validated action into a standing rule — every rule gated by human sign-off, never autonomous.
Built for operations where minutes cost money:
Impact is modelled against your own value stream in the first 30 days — we put ranges on it with you, not before.
Built for AI from day one — not retrofitted onto it.
Legacy supply-chain software and generic AI copilots bolt intelligence onto architectures that were never designed for it. Datanoetic was built AI-native in 2024 — the intelligence layer, the process model, and the action engine are one system.
Bolted on, after the fact
- AI retrofitted onto 20-year-old architectures, or an LLM wrapper with no process context.
- Batch analytics that show what happened — rarely why, never in real time.
- Answers in industry averages, blind to your specific operation.
- Black-box outputs you can't audit or trace to source.
AI-native, end to end
- VSM + Knowledge Graph built to your process before go-live.
- Near-real-time root cause with ranked drivers, cited to your data.
- Cross-value-stream reasoning — inbound to outbound, one model.
- Full data lineage on every answer; audit-logged, tenant-isolated.
Connects to your stack. Stays in your tenant.
Read-only connectors to WMS, ERP, TMS, IoT, and T&A systems. Tenant-isolated BigQuery layer. Every data source is bound explicitly — nothing is inferred or assumed.
- WMS wms_picks · wms_quality
- ERP erp_orders · erp_inventory
- TMS tms_shipments · tms_otd
- IoT device_events · scan_confirm
- T&A shift_roster · attendance
Datanoetic connects to what you already use — warehouse management, ERP, transport management, IoT sensors, time and attendance. Connections are read-only. We never write to your source systems; we read from them and materialise KPI calculations inside your isolated tenant.
DNAI™ reasoning in tenant Every organisation runs in a fully isolated BigQuery tenant. KPI calculations, Knowledge Graph data, and DNAI™ reasoning all run inside your boundary. No cross-tenant data sharing, ever.
Every KPI formula shows its source column, scope filter, and refresh interval. Every DNAI™ output cites the data it used. Every KPI Guard alert carries a confidence rating and data lineage. Nothing is a black box.
Managed by Datanoetic end to end.
Day 30
Your 1st explained incident
Weeks 12–16
Full go-live
See the platform on a real scenario. 30 minutes. No commitment.
We'll show you Datapro-V™ live, run a KPI Guard alert on a mapped scenario, and walk through DNAI™ Chat and Copilot on real data — including a batch-release scenario on a sample pharma VSM if that's your world.