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Engineering-Grade CAD Translation & Simulation
Helping R&D teams validate systems and generate data with deterministic CAD translation, physics-accurate kinematic simulation, and ground-truth synthetic datasets.
Built in the Heart of Otaniemi
Valo Visual operates directly within the A Grid deep tech ecosystem at Aalto University. We do not rely on generative AI approximations; we translate native engineering data into deterministic assets bound by real-world constraints. Dealing with complex, unsimplified STEP files and rigid body dynamics is our daily routine when converting CAD to validation-ready environments. We speak the language of R&D, ensuring your assets are mathematically precise.
Why Partner With us?
The intersection of deterministic accuracy and strict intellectual property protection:
DETERMINISTIC CAD LOGIC
We bridge the gap between engineering constraints and native CAD data so no geometric fidelity or mechanical logic is lost in translation.
HIGH-STAKES DATA SECURITY
Our workflows protect critical IP, ensuring your proprietary designs are never exposed to public cloud environments or generative models.
LOCALIZED DATA CONTROL
All engineering data is processed locally within secure European borders on air-gapped infrastructure with full GDPR compliance.
DEEP TECH FLUENCY
Based in the Otaniemi ecosystem, we align with R&D teams to accelerate validation phases and eliminate physical prototyping cycles.
OUR SErvices
Deterministic Kinematic Animation
Prove mechanical system logic to stakeholders and eliminate temporal hallucinations.
We translate your raw engineering CAD inputs—whether complex SolidWorks assemblies or native STEP files—into precise process animations. This workflow is strictly bound by rigid body dynamics and exact torque limits, allowing automation teams to prove to investors and clients that complex mechanical joints function exactly as engineered before a physical prototype is built.
Simulation & Control Validation Environments
Build physics-accurate digital twins to test mechanics and control algorithms safely.
We convert your physical mechanics, kinematic layouts, and CAD constraints into virtual testing environments using tools like Isaac Sim. This allows robotics and autonomous system teams to train reinforcement learning policies and validate complex loops offline. By mirroring real-world constraints, you can rapidly iterate and test edge cases without risking physical hardware.
Ground-Truth Synthetic Data Generation
Train machine learning models faster with mathematically perfect, procedurally generated datasets
Skip slow manual data collection by generating thousands of domain-randomized training files directly from your 3D assets and sensor specs. We build robust training environments with specialized experience in sensor-accurate paths like LWIR thermal, X-ray simulation, and sonar. We deliver procedural datasets complete with exact depth maps and segmentation masks.
Our Methodology
A strict, 4-step deterministic translation workflow built for engineering precision.
- The Input (Raw Data) We ingest your native engineering assemblies, unsimplified SolidWorks files, or STEP data to establish the baseline.
The constraint: We define your physical boundary conditions, torque limits, sensor profiles, and security parameters.
The Methodology: We deploy physics-based solvers and procedural rendering to map your data to exact constraints without hallucinations.
- The Business Outcome: We deliver validation-ready assets and environments that accelerate R&D and compress testing cycles
Trusted by R&D Professionals
Head Office
Espoo, Finland
info@valovisual.com
Phone
+358 44 555 7933
(Otto Moilanen)
FAQ
Is my engineering data secure and GDPR compliant?
Yes. We protect critical IP under strict NDAs using secure, localized European infrastructure. To prevent network-based leaks, we maintain air-gapped workflows allowing highly sensitive CAD files to be processed completely offline. Client data is never uploaded to public generative AI engines.
Do I need finalized, perfect CAD assemblies?
No. Our CAD translation pipeline handles unsimplified files and native STEP data directly. We manage the digital cleanup, organizing complex joint hierarchies and reconstructing geometric fidelity from the ground up so your R&D team doesn’t have to.
Is your procedurally generated synthetic data accurate?
Yes. We bypass vague approximations by using physics-based light paths and domain randomization to deliver mathematically perfect ground-truth annotations. Our pipelines are explicitly built to mirror real-world constraints across LWIR thermal, X-ray, and sonar profiles.
How do you ensure kinematic validation is physically accurate?
We link all assets directly to your underlying CAD logic. By using deterministic kinematic solvers and rigid body dynamics, we guarantee that all joints, actuators, and moving components function exactly within your specified mechanical constraints and torque limits without hallucinations.
