Lufburrow and Company, Inc.


SBA-certified woman-owned small business that provides engineering and technical services to federal and commercial clients. Core capabilities include software engineering, data science and analytics, cloud architecture and operations, IoT and sensor system development, applied machine learning, and cryptographic/security engineering. The firm staffs cleared personnel, operates secure facilities for classified work, and performs prime and subcontract work under long-term government contracts.

Industries

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Lufburrow and Company, Inc.


Products

Acoustic event detection and classification platform

Software-defined signal-intelligence platform for audio event detection, classification, and precision alerting suitable for integration with command-and-control systems.


Services

Full‑stack software engineering and application development

End-to-end development of web and mobile applications, UI/visualization, and managed software services.

Cloud architecture and secure cloud operations

Cloud environment standup, resource optimization, and secure architecture design incorporating Zero Trust principles.

Data science, analytics and machine learning services

Analytics pipelines, data fusion, and ML solutions for signals, images, and speech with support for real-time operational processing.

DevSecOps engineering and CI/CD automation

CI/CD automation, automated deployment, high-availability testing, and platform scaling practices with integrated security.

Security and cryptographic engineering

Design and implementation of PKI, key management, and identity/access solutions to meet elevated security requirements.

IoT and sensor system development

Design and integration of sensor hardware and software, edge data collection, and edge-to-cloud solution development for operational monitoring.

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Expertise Areas

  • Software engineering and cloud platforms
  • Data engineering and operational analytics
  • Applied machine learning for signals and imagery
  • IoT and sensor system engineering
  • Show More (4)

Key Technologies

  • Real‑time signal processing
  • Applied machine learning
  • Internet of Things (IoT) architectures
  • Cloud-native architecture and Zero Trust
  • Show More (4)

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