Innovim, LLC

Engineering secure, cloud-optimized environments that support real-time ingestion, analysis, and distribution of high-volume scientific and operational data. These solutions translate Earth observation telemetry into actionable analytics and predictive models.

• AI/ML Pipelines

  Building predictive pipelines that power automated data analysis and model training in mission environments.

• Cloud-Native Architecture

  Migrating legacy databases to secure, high-throughput cloud environments optimized for real-time ingestion.

• Data Governance

  Establishing frameworks that organize, standardize, and protect high-volume scientific and military datasets.

• Earth Observation Data Processing

  Developing platform architectures to handle high-volume environmental telemetry and satellite datasets.

Integrating disciplined systems engineering throughout project lifecycles to guarantee requirement traceability and seamless operational integration. The approach combines agile frameworks and earned value methodologies to keep missions on schedule and on budget.

• Agile and SAFe Execution

  Applying structured agile frameworks to align software engineering with strategic agency milestones.

• Earned Value Management

  Implementing rigor in budget and schedule tracking to satisfy federal acquisition compliance guidelines.

• Model-Based Systems Engineering

  Utilizing digital models to trace requirements and manage risk across complex aerospace systems.

Architecting, deploying, and maintaining high-security enterprise infrastructures designed for classified and public workloads. These efforts prioritize cybersecurity protocols, zero-trust architectures, and seamless compliance pipelines.

• Zero Trust Network Implementation

  Deploying secure micro-segmentation and continuous verification architectures across defense networks.

• RMF and ATO Services

  Assessing and preparing federal IT environments to successfully pass continuous authorization controls.

• DevSecOps Integration

  Weaving security protocols directly into continuous integration and software release cycles.

Designing and integrating sensor-based telemetry hardware and software across space, airborne, and terrestrial platforms. These architectures form the backbone of real-time environmental intelligence systems.

• Satellite Payload Operations

  Providing flight software support, command sequence verification, and instrument health monitoring.

• Calibration and Validation

  Verifying spectral bands and operational metrics to restore precision calibration to sensor systems.

• IoT Environmental Monitoring

  Sustaining networks of smart sensors that feed field observations into centralized databases.

Transforming vast streams of meteorology and space observations into operational prediction tools. These systems assist federal environmental agencies in planning for extreme weather patterns and space weather events.

• Weather Forecasting Systems

  Modernizing software algorithms and high-performance computing pipelines for environmental forecasting.

• Space Weather Operations

  Supporting satellite command and data processing workflows for space weather observations.

• Climate Modeling Support

  Formulating data pipelines and mathematical formulas to assist scientists with long-term trends.