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Xinexis

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Discuss a Project · Public sector capabilities

Capability Statement

Xinexis

Software, Data & AI Engineering

support@xinexis.com

xinexis.com

Company overview

Xinexis is a Canadian technology engineering company focused on custom software, data engineering, systems integration, cloud architecture, applied machine learning and technology modernization.

Capabilities support organizations working to connect fragmented applications, improve reporting, modernize workflows and move useful prototypes into operation.

Core capabilities

  • Custom Software Engineering

    Operational platforms, internal applications, backend systems, APIs, workflow applications and modern cloud-native software.

  • Data Engineering & Integration

    ETL/ELT pipelines, APIs, event-driven integration, data ingestion, transformation, quality, migration and operational data flows.

  • Cloud & Distributed Systems

    Scalable cloud architectures, Kubernetes, microservices, event streaming, observability, reliability and performance optimization.

  • AI & Machine Learning

    Applied ML, document intelligence, prediction, classification, computer vision, NLP and intelligent workflow components designed for production use.

  • Systems Architecture & Modernization

    Current-state assessment, technical architecture, legacy modernization, integration strategy, target-state design and implementation roadmaps.

  • Analytics & Decision Support

    Data modelling, dashboards, forecasting, scenario modelling, operational analytics and decision-support software.

Public-sector capabilities

Xinexis does not claim municipal or public-sector past performance.

  • Data & Analytics

    Connect departmental data and define consistent reporting foundations for planning, forecasting, and service decisions.

  • Workflow Modernization

    Map a service process, identify manual handoffs, and design focused improvements with clear ownership and review steps.

  • Systems Integration

    Design connections between existing applications, GIS, databases, and cloud services so information can move with fewer manual transfers.

  • AI with Human Oversight

    Assess a defined task, evaluate model outputs, and design human review into document processing or decision-support workflows.

  • Technology Strategy & Assessment

    Review existing systems, compare options against your requirements, and define an implementation roadmap with clear dependencies and trade-offs.

Engagement approach

  • Start with a focused assessment, architecture review or defined implementation scope.
  • Agree the intended outcomes, responsibilities and constraints before implementation.
  • Scope testing, release planning, documentation and knowledge transfer around the work required.

Project requirements

Share the requirements that affect your evaluation: security and privacy, accessibility, integration dependencies, hosting constraints and knowledge transfer.

Specific commitments and required procurement materials can be discussed as part of scoping.

Areas of focus: Public Sector & Municipalities · Infrastructure & Utilities · Technology & SaaS · Financial Services · Data-Intensive Operations. These describe relevant operating contexts and do not represent a client list.

For the current online statement, visit xinexis.com/capability-statement.

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