Datanomix

Name: Datanomix
Brand: Datanomix
Rating: 4.7 (7 reviews)

Make More with Data-Powered ProductionTM

Est 2018|Valuation $32M|Raised $22.2M|21 Ref Customers

LinkedIn 7K|Web traffic 8K|FTEs 35|HQ Nashua, New Hampshire, US

MarketsProduction Planning Industrial IoT

01Competitive Landscape

Narrative analysis

- Datanomix and MachineMetrics both focus on machine-data capture; MachineMetrics explicitly packages MES-style features in a named tier, while Datanomix offers Delivery Track and an ERP Connector to bridge planning and production. - Tulip targets broader frontline digitization and may be preferable when an organization requires extensive configurable apps for non-CNC processes. - Datanomix offers file-management and hosting options targeted at regulated-code control scenarios; organizations should validate how these features fit into larger compliance programs and whether existing DNC/PDM/PLM systems require integration or replacement.

	Datanomix	MachineMetrics	Tulip
Starting Price	Not publicly listed (quote-based); pricing described as per machine per year; unlimited users indicated	Not publicly listed on pricing page for all tiers; an AWS Marketplace listing provides a price anchor for an entry configuration	Published interface-based pricing on the vendor site (list prices for entry tiers)
Primary fit	CNC-focused shops seeking automated machine data capture and job-level forecasting and cost alignment	Organizations seeking a machine-data foundation with MES-like execution features and ERP-focused workflows	Teams seeking a configurable frontline app platform for diverse shopfloor processes (assembly, quality, guided work)
Key capabilities	Automated machine data capture to reduce operator data entry; job status forecasting; file management and revision traceability features for code control	Machine-data collection with packaged MES functionality (job tracking, labor tickets, scheduling) and marketplace listings	Flexible app-building platform for frontline workflows, quality, and work instructions across diverse processes
Known limitations	Limited public pricing transparency; limited public review volume; some reported usability concerns	Pricing often requires sales engagement; may require operator inputs for certain operational workflows	Interface-based pricing can become costly at scale and may require internal configuration effort

01Competitive Landscape

Narrative analysis

Datanomix and MachineMetrics both focus on machine-data capture; MachineMetrics explicitly packages MES-style features in a named tier, while Datanomix offers Delivery Track and an ERP Connector to bridge planning and production.
Tulip targets broader frontline digitization and may be preferable when an organization requires extensive configurable apps for non-CNC processes.
Datanomix offers file-management and hosting options targeted at regulated-code control scenarios; organizations should validate how these features fit into larger compliance programs and whether existing DNC/PDM/PLM systems require integration or replacement.

	Datanomix	MachineMetrics	Tulip
Starting Price	Not publicly listed (quote-based); pricing described as per machine per year; unlimited users indicated	Not publicly listed on pricing page for all tiers; an AWS Marketplace listing provides a price anchor for an entry configuration	Published interface-based pricing on the vendor site (list prices for entry tiers)
Primary fit	CNC-focused shops seeking automated machine data capture and job-level forecasting and cost alignment	Organizations seeking a machine-data foundation with MES-like execution features and ERP-focused workflows	Teams seeking a configurable frontline app platform for diverse shopfloor processes (assembly, quality, guided work)
Key capabilities	Automated machine data capture to reduce operator data entry; job status forecasting; file management and revision traceability features for code control	Machine-data collection with packaged MES functionality (job tracking, labor tickets, scheduling) and marketplace listings	Flexible app-building platform for frontline workflows, quality, and work instructions across diverse processes
Known limitations	Limited public pricing transparency; limited public review volume; some reported usability concerns	Pricing often requires sales engagement; may require operator inputs for certain operational workflows	Interface-based pricing can become costly at scale and may require internal configuration effort