PRODUCTS
C-STAR
The Full Crew Stand Alone Training System (C-STAR) provides a high full crew training solution for all team members
PHOENIX-FPV
Simlat leverages the PHOENIX simulation suite to deliver advanced FPV Drone Simulator training for first-person-view piloting and mission operations.
The PHOENIX-FPV application supports hand controllers, FPV goggles, and realistic flight dynamics to provide an immersive and effective training experience.
PHOENIX-FPV can also operate in multiplayer mode with other PHOENIX stations, enabling joint, collaborative mission scenarios across multiple trainees and roles.
INTER
The Simlat Integrated Training Simulator (INTER) is a system composed of an instructor station connected to a real UAS Ground Control Station (GCS) or Operator Control Unit (OCU) which provides a highly realistic environment, with advanced mission and instructional capabilities
INTER Videos
Mission Planner / MAVLink
Mission Planner / MAVLink
UgCS
INSITU INEXA Control
Lockheed Martin VCSi
Aeronautics Orbiter 2/3
INSITU ScanEagle
Roboteam MTGR & ROCU
Brock Havoc
IMPACT
The ISR Multi Purpose Advanced Class Training (IMPACT) is a unique training center which includes a master instructor station and numerous trainee stations for simultaneous training sessions
ASTRA
One of the most crucial aspects of effective defense from UAS threats is the proficiency and readiness of the Counter-UAS (CUAS) operators.
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​ASTRA is a high-fidelity mission simulation system designed to train operators CUAS skills and scenarios.
​ASTRA supports detection, identification efforts, decision making and various mitigation effector, including electronic and kinetic.
Supports TAK command and control with specialized plugins.
Simlat Cloud
Simlat Cloud meets the need of organizations and individuals to maintain training programs and objectives in a constantly changing environment.
The high-performance simulation computing runs on the cloud and is accessible by common browsers. The user can train anywhere and anytime by logging in and executing pre-planned training sessions or just “free-flight” to hone their skills.
FORNAX
Simlat’s photorealistic dataset generation service enables organizations to quickly create large, diverse, and highly realistic image datasets for ML training and validation, without the time and cost of manual labeling. Using advanced simulation, Simlat generates customized scenes based on customer requirements and supports electro-optic and IR thermal sensors with realistic effects such as pixelization, glare, thermal signatures, and varying image quality.
The service includes pre-segmented and labeled 3D assets such as vehicles, people, animals, buildings, and vegetation, along with rich environmental conditions including clouds, shadows, haze, precipitation, and different times of day.
With realistic 3D environments ranging from urban, desert, snow, jungle, maritime, and airport settings, FORNAX is ideal for applications such as UAS and UGV payload detectors and trackers, counter-UAS systems, and maritime systems, and can be tailored to specific use cases and output formats, including both imagery and metadata.
TALIS
The Takeoff and Landing Immersive Simulation (TALIS) system uses Virtual Reality (VR) Head-Mounted-Display (HMD) to offer a realistic training experience for VLOS pilot operation training
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POLARIS – End to end simulation for Unmanned Traffic Management (UTM)
Simlat’s POLARIS provides simulated UAS traffic at scale, simulating the behavior of a “rogue” or malfunctioning UAS while also generating the clutter made by thousands of automated flights.
POLARIS includes integration to UTM frameworks and solutions, autopilots, radars and ADS-Bs.
PANEL
The PANEL Performance Evaluation module automatically analyzes simulation data to evaluate trainees’ performance and summarize it in rich and graphic reports.
COSMOS
COSMOS is a user-friendly framework for the design, compilation, testing and deployment of simulation-ready 3D content, with a simple, streamlined process. End users can create their own training areas and 3D entity models, and integrate them in Simlat simulators, independently
