Synthetic Data Generation

Training | Testing | Validation

Synthetic Image Generation for Computer Vision

Generate millions of labeled images for computer vision models. Using advanced GANs (Generative Adversarial Networks), diffusion models, and procedural generation techniques, we create photorealistic synthetic images that match real-world distributions.

Perfect for: Object detection, image classification, semantic segmentation, facial recognition, autonomous vehicles, retail automation, and quality inspection. Include rare edge cases, varied lighting conditions, occlusions, and environmental variations that are impossible to capture at scale with real cameras.

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Synthetic Text Data for NLP & LLMs

Generate diverse, domain-specific text datasets for natural language processing. From conversational AI training to sentiment analysis, we create synthetic text data that mirrors real-world linguistic patterns while ensuring privacy compliance and eliminating personally identifiable information (PII).

Services include: Data mining and transformation, PII anonymization, multilingual text generation, conversational dialogue synthesis, question-answering pairs, and domain-specific corpus creation. Perfect for chatbots, LLMs, sentiment analysis, entity recognition, and text classification models.

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Data Digitization & Structuring

Transform unstructured data into ML-ready datasets. We extract, structure, and annotate data from documents, images, PDFs, websites, and legacy systems—converting analog and unstructured information into clean, labeled datasets optimized for machine learning.

Capabilities: OCR processing, web scraping, document parsing, automated annotation pipelines, schema design, and data normalization. Turn raw information into valuable training data with consistent formatting, proper labeling, and quality validation.

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3D Synthetic Environments & Models

Create photorealistic 3D environments with perfect ground truth. Using Unreal Engine, Unity, and Blender, we build synthetic 3D worlds that generate unlimited training data with precise annotations—depth maps, semantic segmentation, bounding boxes, and point clouds built into every frame.

Applications: Autonomous vehicle simulation, robotics training, AR/VR applications, industrial automation, warehouse optimization, and spatial AI. Generate varied lighting, weather conditions, object placements, and scenarios that would take years to capture in the real world.

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Physics-Based Simulations

Test and train AI in risk-free virtual environments. We develop custom physics-based simulators that replicate real-world dynamics, enabling you to generate millions of training scenarios without physical infrastructure, safety risks, or operational downtime.

Perfect for: Autonomous systems (vehicles, drones, robots), reinforcement learning, safety-critical applications, rare event modeling, and edge case testing. Simulate sensor data (LiDAR, radar, cameras), environmental conditions, failure modes, and adversarial scenarios at a fraction of real-world testing costs.

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Synthetic Medical Imaging Data

HIPAA & GDPR-compliant medical imaging without patient data. Real medical imaging datasets are scarce, restricted by privacy laws, and expensive to obtain. Our synthetic medical imaging solutions generate high-fidelity X-rays, CT scans, MRIs, and pathology images for AI diagnostic model training.

Benefits: Zero privacy concerns, unlimited rare condition examples, diverse patient demographics, controlled pathology variations, and perfect ground truth annotations. Accelerate medical AI development for radiology, pathology, dermatology, and diagnostic assistance systems while maintaining full regulatory compliance.

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We would love to have a call, email or meet to discuss your requirements.

  • Call us: +44 0800 048 8671
  • Email us: info@reinventsystems.com

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