CAPABILITY 01
Autonomy & human-machine teaming
Decision-support and autonomous behaviors that keep humans appropriately in control.
Autonomy levelsHuman-in-the-loopDecision supportTrust calibration
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Advanced Defense Technology
Exploring resilient technology for tomorrow's missions.
SIS is exploring how autonomy, digital twins, simulation, edge computing, and resilient communications can support defense and mission-critical operations — with test and evaluation at the core.
Autonomy & human-machine teamingDigital twinsModeling & simulationEdge computing
Overview
Exploring resilient technology for tomorrow's missions.
Defense technology is moving toward software-defined, autonomous, and data-driven systems operating at the edge. These systems demand rigorous test and evaluation, trustworthy AI, and secure, resilient architectures.
This is a future-focus area for SIS. The topics below describe directions of research interest and where our engineering and assurance strengths could contribute — not existing products or completed defense contracts.
Focus areas
- Autonomy & human-machine teaming
- Digital twins
- Modeling & simulation
- Edge computing
- Resilient communications
- Sensor fusion & situational awareness
What's possible
Capabilities across advanced defense technology.
The technical areas SIS can support, and what each makes possible for your mission.
CAPABILITY 02
Digital twins
Virtual representations of systems and environments for planning, maintenance prediction, and what-if analysis.
Digital twinPredictive maintenanceScenario analysisModel fidelity
CAPABILITY 03
Modeling & simulation
Simulation environments to test systems and tactics safely before real-world use.
M&SSynthetic environmentsScenario generationMonte Carlo
CAPABILITY 04
Edge computing
Processing data close to sensors where connectivity is limited or contested.
Edge AIRugged computeLow-bandwidth opsContainerized edge
CAPABILITY 05
Resilient communications
Architectures that degrade gracefully under disrupted, intermittent, or limited networks.
DIL networksMesh networkingStore-and-forwardRedundancy
CAPABILITY 06
Sensor fusion & situational awareness
Combining multiple data sources into a coherent operating picture.
Sensor fusionCommon operating pictureGeospatialData integration
CAPABILITY 07
Test & evaluation of AI-enabled systems
Methods to verify performance, robustness, and safety of AI in mission systems.
T&ERobustness testingOperational testingAssurance cases
CAPABILITY 08
Counter-UAS awareness
Understanding detection and defensive concepts relevant to small uncrewed systems.
Detection conceptsThreat awarenessPolicy contextIntegration
CAPABILITY 09
Secure software & supply chain
Software assurance, SBOMs, and supply-chain risk management for mission systems.
SBOMSoftware assuranceSCRMTrusted components
CAPABILITY 10
Logistics & readiness analytics
Data analytics to forecast maintenance, parts, and readiness.
Readiness metricsMaintenance forecastingSupply analyticsDashboards
Mission applications
Where it makes a difference.
Representative ways organizations put these capabilities to work.
Predictive maintenance
Forecast failures before they ground equipment.
Training & rehearsal
Use simulation to rehearse scenarios safely.
Edge analytics
Analyze sensor data where networks are limited.
AI assurance
Independently test AI-enabled capabilities before fielding.
Operating picture
Fuse data into a shared view for decision-makers.
Readiness reporting
Give leaders accurate, timely readiness data.
Our approach
A disciplined path from need to outcome.
- 01
Understand the mission
Capture operational needs, constraints, and threats.
- 02
Explore options
Research approaches, partners, and maturity of technologies.
- 03
Prototype safely
Use simulation and controlled environments first.
- 04
Test & evaluate
Apply rigorous T&E for performance, safety, and security.
- 05
Transition
Plan for sustainment, training, and operational fielding.
Tools & technologies
Technology we work with.
We are tool-agnostic and start from what you already use. Representative technologies:
Simulation
Simulation frameworksSynthetic dataGame-engine environments
Edge
Containerized workloadsEdge AI acceleratorsRugged compute
Data
Sensor fusionGeospatial toolsTime-series analytics
Assurance
T&E planningRobustness testingSBOM tooling
Standards & frameworks
Aligned to the guidance that matters.
- DoD Responsible AI principles
- DoD Directive 3000.09 (autonomy in weapon systems) awareness
- DoD T&E policy (DoDI 5000.89)
- NIST SP 800-53 / CMMC
- Export-control (ITAR/EAR) awareness
Questions
Frequently asked.
Does SIS build weapons systems?
No. This area reflects research interest in supporting technologies — simulation, analytics, edge computing, and test and evaluation — not weapons development.
What can SIS contribute today?
Our strongest current contributions are test and evaluation, data analytics, AI assurance, and secure software practices applied to mission systems.
Will SIS team on defense opportunities?
Yes — we welcome teaming conversations where our SDVOSB status and engineering strengths add value.
Are these claims of past performance?
No. This page describes future focus areas and possibilities in the field.
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Works well with.
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Explore capability →These descriptions explain technology domains SIS is positioned to discuss and pursue; they are not claims of completed contracts, existing products, or specialized certifications.
Let's explore the mission requirements.
Connect with SIS to discuss technical needs, collaboration, or teaming opportunities.