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Cadence2Completion

Capabilities

Security & Surveillance

Most surveillance programs do not end at installation. C2C stays with the work through inventory, training, communications, concealment, refresh, and the integration details that make a sensor useful to an operator who is already busy.

Unattended ground sensors | Body-worn and vehicle cameras | NII and radiation detection | Multi-modal sensors (seismic, acoustic, magnetic, PIR, EO/IR) | Force-protection and site surveillance | Operator training and handbooks

Selected result: C2C domain SMEs supported nationwide IDVRS fielding and the inventory, refresh, and training effort for thousands of unattended ground sensors.

See IDVRS and UGS on Mission Experience

Systems Engineering & Test/Evaluation

C2C writes the artifacts and runs the tests that let a program move. Requirements, architecture, SELC and ALF documentation, developmental and operational test, training curricula, and the paper trail an acquisition office will actually accept.

Requirements development | SELC / ALF documentation | Test planning and execution | Performance testing at operational sites | Training development | Independent assessment / IV&V | Risk, RACI, and readiness reviews

Selected result: Support for NII evaluation and acquisition activities spanning performance testing, field readiness, and operator training.

See NII and CSS on Mission Experience

Mission Data Enablement

Cameras and sensors only matter if the data shows up in time, in context, and in a form someone can use and defend later. C2C treats mission data as part of the operational system, not as a separate analytics project.

Data modeling | Alert integration | Asset and inventory data | Annotation and ground-truth pipelines | Watch-floor and operator information flow

Selected result: Inventory, alert, and annotation paths used on the unattended-ground-sensor effort and the anomaly-detection prototype.

See UGS and ADA on Mission Experience

Enterprise AI & Data Strategy

C2C does not sell an AI platform. We help a program define a detection or decision use case, stand up the data path, test the model against operational conditions, and decide whether it is ready.

Use-case design | AI readiness assessments | Model methodology and test | Cloud data architecture | Agentic tools for program documentation | Operator-in-the-loop evaluation

Selected result: Anomaly-detection work focused on fentanyl concealment in privately owned vehicles, including use-case design, model methodology, data pipelines, and a field-trial framework.

See ADA on Mission Experience

Systems Integration

The useful system is the one that connects. C2C integrates sensors, platforms, networks, software, and data so the operator is not stitching five vendor tools together at 2 a.m.

Sensor-to-network integration | Alert and video ecosystems | Cloud and on-prem data paths | Hardware / firmware / software interfaces | Field engineering for mounts, power, communications, and concealment

Selected result: Field engineering and integration support on camera, ground-sensor, and inspection programs - mounts, power, communications, concealment, and the connections that make a sensor show up on the command center.