Clarify the Problem Through Modeling
Map out tasks, requirements, structure, and interfaces to establish a shared engineering language; assess the reusable scope of existing models and state assumptions where information is missing.
New Horizon · Outsourcing
Skip building a team. Work with the experts.
Digital engineering outsourcing: modeling, simulation and twins ready for acceptance. Targeting 10% of the budget, 30% of the time and a 100% increase in efficiency.
Mission
Skip building a team. Work with the experts.
New Horizon serves research institutes, smart manufacturing teams and uncrewed systems developers with professional engineering delivery across modeling, simulation, digital twins and AI agents.
Years of project experience and a lean operating model let us reuse model libraries, scenario templates and toolchains, reducing duplicated engineering effort.
Our Capabilities
Modeling · Simulation · Digital Twins · AI Agents
Engage each domain independently or combine them into an end-to-end, acceptance-ready workflow.
/0.1 Explore modeling /0.2 Explore simulation /0.3 Explore digital twins /0.4 Explore AI agents
Modeling
Modeling
Turn enterprise and system models into engineering assets that can be reviewed, traced and handed over.
- Ontology Modeling
- MBSE / SysML Modeling
- UAF/DoDAF Architecture Modeling
Simulation
Simulation
Use reproducible scenarios and metrics to make simulation a foundation for decisions and verification.
- Operational Scenario Simulation
- Electromechanical–Thermal Simulation
- Rigid-Body and Fluid Simulation
Digital Twin
Digital Twins
Go beyond visualization with a digital foundation for collaboration, control and operations.
- Production-Line Digital Twins
- Robot Digital Twins
- Spacecraft Digital Twins
AI Agent
AI Agents
Build deployable, domain-specific task workflows, not just demonstration scripts.
- Autonomous Robot and Vehicle Navigation
- Autonomous Mission Planning
- Intelligent Image and Video Recognition
Our value-for-money targets
Years of project experience and a lean operating model let us reuse model libraries, scenario templates and toolchains, reducing duplicated engineering effort.
10%Target budget share
30%Target time share
+100%Target efficiency increase
These are our value-for-money targets. We compare against an in-house approach with the same scope, quality and acceptance requirements. Project assessment defines the actual budget, schedule and efficiency metrics.
Latest Impact
Case Studies
Explore engineering problems, technical approaches and delivery boundaries across modeling, simulation, digital twins and AI agents. Industry application cases also explain their evidence basis, implementation methods and verification limits.
Digital Twins · Application Case
Vibration Suppression and Virtual Commissioning for Injection Molding Equipment
For vibration caused by higher injection molding machine speeds, operating data was used to check the dynamics model. Control strategies were compared virtually before on-site integration.
Read Case Study
Simulation · Application Case
Robotic Tightening Cell Layout and Cycle-Time Simulation
Compare single- and dual-robot layouts, motion sequences, and cycle times for automotive assembly tightening stations through simulation, grounding equipment selection in records that can be replayed.
Read Case Study
Modeling · Application Case
IoT System Architecture, Function Allocation and Parameter Analysis
Organize IoT system functions, structure, parameter calculations, and product data into a traceable system model project.
Read Case Study
Simulation · Application Case
Parametric Pick-and-Place Robot Modeling and Drive Load Analysis
Use a parametric mechanism model to analyze a pick-and-place robot's trajectories, joint loads, and drive constraints, first determining whether to change the trajectory or replace the motor.
Read Case Study
Modeling · Application Case
Aircraft Engine Control MBSE and Requirements Verification
Connect requirements, behavior, controller interfaces and verification cases across starting, running and stopping, with explicit boundaries between system models and physical tests.
Read Case Study
Modeling · Application Case
Remote-Sensing Satellite MBSE and Change Impact Analysis
Connect payload-platform design through requirements decomposition, domain libraries, parameter relationships and model-derived reporting.
Read Case Study
Modeling · Application Case
Multi-Device ICD Modeling and Integration Data Consistency
Manage devices, messages, signals and wiring relationships together, deriving integration records from interface models to reduce mismatches between specifications and test configurations.
Read Case Study
Simulation · Application Case
Rail High-Voltage System Logic Modeling and State Simulation
Review command, feedback and state relationships for pantograph and switching equipment, examining control sequence, conditions and exception branches in a software model.
Read Case Study
Simulation · Application Case
SysML Behavior Simulation for Rail Cab Changeover
Link cab-control roles, operating states, condition checks and signals into a replayable logic-review process for train-level cab changeover.
Read Case Study
Modeling · Application Case
Multi-Team MBSE Collaboration and Review Baselines
Connect model ownership, version updates, offline merges and online reviews so cross-team feedback traces to specific elements and released versions.
Read Case Study
Simulation · Application Case
Pump Housing Heat Conduction and Finite Element Mesh Verification
Connect CAD preparation, material and boundary definitions, mesh comparisons and temperature-field review for a complex internally heated housing, with reproducible thermal-analysis deliverables.
Read Case Study
Simulation · Application Case
Capacitor Fringing Effects and Electrostatic Simulation
Assess finite-electrode fringing effects using electrostatic potential, derived fields and mesh comparisons, with a traceable workflow for reviewing simplified estimates.
Read Case Study
Digital Twins · Application Case
Spacecraft Telemetry State Mapping and Fault Replay: A Method Case
Based on satellite twin architecture and product material, this case organizes telemetry fields, model states and historical events while distinguishing replay design from in-orbit validation.
Read Case Study
Digital Twins · Application Case
Automotive HVAC Virtual Commissioning and State-Twin Preparation
Design a software virtual commissioning workflow and subsequent real-time signal integration around vehicle climate-control requirements, state machines and parameter relationships.
Read Case Study
AI Agents · Application Case
Engineering Model Review Assistant: Requirements and Verification Links
Combine deterministic checks and AI semantic review of requirements, model relationships and rules to produce traceable findings for human adjudication.
Read Case Study
AI Agents · Application Case
Finite Element Results Agent: Beam Sections and Principal Stress Review
Use VTK fields, section profiles and filter states from finite element post-processing material to design reproducible AI-assisted analysis and human review.
Read Case Study
Modeling · Application Case
Satellite Ontology and Dynamic Knowledge Graph Design
Feasibility case study: use MBSE to align satellite, subsystem, equipment and telemetry semantics, connecting an OWL ontology to graph initialization and state updates.
Read Case Study
AI Agents · Application Case
Satellite Fault Diagnosis and Advisory Agent Design
Feasibility case study: connect telemetry anomalies, fault models and graph tools to produce candidate causes, propagation paths, affected systems and reviewable advice.
Read Case Study
AI Agents · Application Case
Simulation-Driven Satellite Time-Series AI Design
Feasibility case study: supplement scarce samples through parameterized simulation and fault injection, with simulation pretraining, real-data fine-tuning and subsystem evaluation.
Read Case Study
Modeling · Application Case
UAV System MBSE Architecture and Cross-Tool Traceability
Connect requirements, subsystem models, and engineering versions through the system architecture to reduce information gaps between tools.
Read Case Study
Modeling · Application Case
MBSE Modeling and Trade Studies for Energy Equipment Supply Networks
Represent suppliers, components, and installation locations in a system model so that design comparisons share consistent objects and constraints.
Read Case Study
Simulation · Application Case
AFSIM Multidomain Scenarios and Event Replay Analysis
Establish a reviewable mission-level analysis workflow around scenario configuration, run records, and event replay.
Read Case Study
Digital Twins · Application Case
Lunar Rover Virtual–Physical Comparison and Surface Environment Validation
Support robot software, perception, and mission validation by comparing ground-based lunar-surface simulation tests with virtual scenarios.
Read Case Study
Digital Twins · Application Case
Robot Arm State Mapping and Virtual–Physical Synchronization
Organize inspectable robot-arm digital twin integration around joint states, tool coordinates, and operation-step signals.
Read Case Study Digital Twins · Application Case
UAV Swarm Virtual–Physical Interfaces and State Visualization
Organize swarm simulation and equipment states through consistent interfaces, establishing an extensible foundation for physical–virtual integration testing.
Read Case Study
AI Agents · Application Case
AI Control Training with Vehicle Multiphysics Simulation
Connect vehicle dynamics and multidomain models to the software training workflow to check control policies before real-vehicle testing.
Read Case Study
AI Agents · Application Case
Visual Localization and Autonomous Manipulation for Agricultural Harvesting Robots
Connect object recognition, coordinate transformations, and robot-arm motion in a closed-loop task to address manipulation in changing environments.
Read Case Study AI Agents · Application Case
Natural-Language Task Planning and Execution Validation in Simulation
Observe task interpretation, plan generation, and execution results in a virtual environment to verify whether an agent actually achieves its goal.
Read Case Study
AI Agents · Application Case
Simulation-Based Reinforcement Learning for Warehouse Scheduling
Turn orders, queues, and resource scheduling into a repeatable interactive environment, using independent scenarios to compare rule-based and learned policies.
Read Case Study Modeling · Application Case
An Integrated Enterprise Architecture and SysML Baseline
Rapidly establish a reviewable system-of-systems and system model baseline within a limited set of viewpoints, enabling traceability from requirements to structure and behavior.
Read Case Study
Simulation · Application Case
Aerospace and Electromechanical–Thermal Simulation Validation
Complete multiphysics and mission-profile simulations for key operating conditions, delivering reproducible engineering projects and risk findings.
Read Case Study
Digital Twins · Application Case
Production-Line and Robot Digital Twin Integration
Build production-line or robot digital twin scenarios, connecting state mapping and control integration to support demonstrations and acceptance.
Read Case Study
Simulation · Application Case
Uncrewed Swarm and Cross-Scenario Co-Simulation
Build scenarios for comparing swarm strategies and validate integrated operating conditions with adjacent systems.
Read Case Study
AI Agents · Application Case
A Domain-Specific Perception–Planning–Control Agent Pilot
Use measurable evaluation criteria to complete a minimal closed loop for perception and recognition, mission planning, and robot-arm or vehicle control.
Read Case StudyGuides
All Guides- How Should Multiple Product Configurations Be Delivered? Align Models, Requirements, and Verification Materials Define how configuration choices change the model, preserve the complete source model, and check delivery scope and regeneration for each configuration. Read
- What Should Be Checked before Running a Behavior Model? From Initial Context to Event Records Define execution scope, initialization, event inputs, and termination conditions instead of equating animation with behavior verification. Read
- How Should a SysML Profile Be Customized? Define Meaning before Extending Elements Control domain customization through minimal scope, attribute rules, and validation examples while distinguishing language semantics from tool-specific presentation. Read
- How Should Cross-Tool Requirements Exchange Be Accepted? Track Data Loss Explicitly Define exchange scope, object identity, relationship meaning, and round-trip checks instead of treating an opened file as a lossless transfer. Read
Offerings
Services- Project Lifecycle Documentation Produce archivable engineering materials covering the proposed approach, explanations, and acceptance criteria, rather than adding documentation after meetings. Explore Delivery
- Custom Software and Source-Code Handover Turn supporting tools, export workflows, and runtime interfaces into engineering assets that can be deployed locally. Explore Delivery
- Reusable Scenarios and Models Turn geometry, logic, and operating-condition templates into an asset library that can be tailored for subsequent research projects. Explore Delivery
- Intellectual Property Support Organize source code, models, data, and third-party licenses into an inspectable ownership package. Explore Delivery
Engineering Notes
Start with a Task That Has Clear Acceptance Criteria
Connect Simulation and Digital Twins to Verification
Build reproducible engineering projects around key operating conditions and connect states, data, and events to digital scenarios; evaluate outcomes through measurements rather than visual complexity.
Deliver Through Agents and Software
Include recognition, planning, and control tasks in an evaluable workflow, and hand over programs, models, environments, and operating materials as agreed.
Skip building a team. Work with the experts.
Tell us your project stage and target domain. We will respond within 1 business day with collaboration options and scope recommendations.