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Innovapptive Inc Tech Stack

AI-powered mobile platform for frontline operations in asset-intensive industries

Mobile Computing Software Products Houston, Texas 201–500 employees Founded 2012 Privately Held

Innovapptive builds a mobile-first operations platform targeting the Office of the COO in heavy industries—oil & gas, chemicals, mining, utilities. The tech stack reveals deep ERP integration (SAP MM, Oracle EBS, Infor, JD Edwards) layered with AI/ML foundations (LangChain, CrewAI, vector databases: Pinecone, Weaviate, Qdrant, Chroma). Engineering-heavy hiring (15 of 24 open roles) focused on senior and lead levels suggests they're scaling integration complexity and AI capabilities rather than pure feature velocity. Active projects around SAP MM integration, BADI enhancements, and Maximo workflow indicate they're positioning themselves as the execution layer for enterprise asset management systems.

Tech Stack 61 technologies

Core StackSAP MM Jira ABAP SAP Sentry Datadog Cursor Pinecone Weaviate LangChain IBM Maximo Maximo Integration Framework OSI PI Aveva Honeywell Yokogawa AspenTech SCADA MES Oracle EBS Infor JD Edwards Qdrant Chroma Maximo SAP HANA OData SAP PM Oracle Enterprise Asset Management CrewAI+29 more
AdoptingSAP EAM

What Innovapptive Inc Is Building

Challenges

  • Asset uptime
  • Digitizing archaic paper-based processes
  • Secure scalable api integrations
  • Asset downtime
  • Labor-intensive processes
  • Optimizing asset performance
  • Streamlining operations
  • Integrating ot and it systems
  • Real-time data pipelines
  • Schema drift detection

Active Projects

  • Executive engagement & governance
  • Value360 transformation program
  • Configure innovapptive mobile application for sap mm integration
  • Connected worker platform deployment
  • Develop badi enhancements for sap mm
  • Maintenance and operations deployment
  • Solution design and value realization
  • Cloud asset management solution delivery
  • Maximo workflow integration
  • Maximo data quality remediation

Hiring Activity

Accelerating25 roles · 15 in 30d

Department

Engineering
15
Sales
4
Support
2
Data
1
Product
1

Seniority

Senior
11
Lead
4
Mid
4
Junior
2
Director
1
Manager
1
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About Innovapptive Inc

Innovapptive provides an AI-powered, mobile-first platform that unifies frontline work execution, maintenance, operations, safety, and supply chain teams for asset-intensive industries. Founded in 2012 and headquartered in Houston, the company serves 50+ global enterprises across oil & gas, chemicals, mining, and utilities sectors. The platform connects field workers with configurable mobile applications for inspections, work execution, and digital instructions, while back-office teams gain real-time visibility and intelligent planning through integrated analytics. Innovapptive is a SAP certified mobile application partner and actively extends SAP MM, Oracle EBS, and IBM Maximo ecosystems through low-code/no-code configuration and AI-driven predictive capabilities.

HeadquartersHouston, Texas
Company Size201–500 employees
Founded2012
Hiring MarketsIndia, United States, Australia

Frequently Asked Questions

What tech stack does Innovapptive use?

SAP (MM, PM, HANA), Oracle EBS, IBM Maximo, plus AI/ML: LangChain, CrewAI, Pinecone, Weaviate, Qdrant, Chroma. Also integrates SCADA, MES, OSI PI, Aveva, Honeywell, Yokogawa, AspenTech for industrial operations data.

What is Innovapptive working on?

SAP MM integration, Maximo workflow integration, BADI enhancements, cloud asset management delivery, and real-time data pipelines. Core focus: connected worker platform deployment and value realization across maintenance and operations teams.

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How this profile is built

Innovapptive Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.