AI, Autonomy, & Collaborative Platforms
ENGINEERING DECISION ADVANTAGE
Canvas engineers intelligent, adaptive autonomy solutions that compress decision timelines, increase operational resilience, and scale mission effectiveness across contested, data-limited environments. Our work focuses on enabling trusted human-machine teaming and accelerating the transition of AI-enabled systems from development to operational use.
Unmanned Systems Development:
Canvas designs and engineers autonomous behaviors, teaming logic, and control architectures for unmanned and collaborative platforms, including Collaborative Combat Aircraft (CCA). Our teams integrate AI and machine learning models with high-fidelity simulations to enable mission execution in complex, denied, and degraded environments. These solutions are built to adapt in real time while maintaining operator trust and control.
Collaborative Platform Integration:
We integrate autonomy across multi-platform ecosystems by developing robust control architectures, sensor fusion frameworks, and adaptive mission logic. Canvas enables collaborative platforms to operate cohesively with crewed systems and other unmanned assets, ensuring synchronized decision-making and resilient performance in contested operational spaces.
AI/ML Development and Training:
Canvas designs, trains, and validates AI and machine learning models using a combination of structured, unstructured, and synthetic data. Our approach accelerates model maturity while enabling real-time threat detection, classification, and prioritization. Emphasis is placed on transparency, reliability, and performance at the tactical edge.
Kill Chain Acceleration:
We integrate autonomy into long-range, multi-domain kill chains to shorten sensor-to-shooter timelines. By embedding AI-enabled decision logic across sensing, targeting, and execution layers, Canvas accelerates target identification, threat prioritization, and engagement while maintaining alignment with operational intent and rulesets.
Autonomous Vehicle Engineering:
Canvas develops mission behaviors and collaborative teaming logic for autonomous and semi-autonomous vehicles operating in disconnected, communications-denied environments. Our solutions emphasize graceful degradation, decentralized decision-making, and resilience when connectivity is limited or unavailable.
Simulation and Model Validation:
We leverage digital twins, synthetic environments, and AI-in-the-loop testing to reduce technical risk and accelerate fielding. Canvas validates autonomy and AI performance across representative operational scenarios, enabling faster iteration, improved model confidence, and earlier transition to operational systems.
Data Engineering and Edge Optimization:
Canvas builds resilient, scalable data pipelines that enable rapid ingestion, processing, and exploitation of mission data. We optimize AI models for deployment on edge platforms, ensuring low-latency performance and localized decision-making without reliance on reach-back infrastructure.
Proven Success
Canvas played a key role in the successful demonstration of the XQ-58A Valkyrie, an autonomous collaborative platform tested by the 96th Test Wing at Eglin AFB. Our team led efforts in test planning, system instrumentation, data acquisition, and post-flight analysis, delivering the technical insight needed to assess system performance in an operationally representative environment.
This milestone advanced the Air Force’s goals for human-machine teaming and demonstrated how AI-enabled collaborative platforms can extend tactical reach, improve survivability, and accelerate decision-making in high-threat airspace. The Valkyrie test showcased the critical role Canvas plays in transitioning emerging autonomy technologies from concept to mission-ready capability.
