AI Development Infrastructure
Building the foundational tools and platforms that accelerate AI innovation and development
Imagate Synthetic Data Engine
Spec Legacy built Imagate, a Data-as-a-Service platform that removes one of AI’s biggest challenges—the shortage of high-quality, labeled datasets. Designed for enterprise R&D and AI teams, it generates unlimited, photorealistic training data with perfect annotations. The system uses 3D simulation engines like Unreal Engine, Houdini, and Blender to create detailed, procedural scenes on demand. Its scalable AWS EKS architecture supports large workloads, while an LLM-based interface lets users generate complex datasets from simple text prompts. Imagate reduces data preparation time from months to hours and lowers labeling costs by over 90%, accelerating AI development.
Emotive Text-to-Speech Engine
Spec Legacy built an advanced Text-to-Speech engine that generates voices in over 25 emotional tones for gaming, media, and interactive entertainment. It delivers expressive, human-like speech through a training process that blends professional voice recordings with refined audio source separation. A custom dataset was created using 25 voice actors performing emotion-specific scripts, enhanced with clean vocal tracks extracted from movie audio using Demucs. Developed with the Coqui TTS framework on Python and PyTorch, the system shows Spec Legacy’s expertise in building emotion-aware TTS models that make digital experiences more natural and engaging.
AI Model Training Pipelines
Spec Legacy develops full-scale AI training infrastructure that manages every stage of the machine learning process from data handling to deployment. The system includes automated data versioning, distributed GPU training, hyperparameter tuning, and continuous performance evaluation. It supports both supervised and unsupervised learning, with tailored workflows for vision, language, and reinforcement models. Using MLflow and Weights & Biases, all experiments are tracked for easy comparison and reproducibility. The platform dynamically scales resources based on dataset size and model needs, offering real-time metric monitoring and early stopping to boost efficiency and shorten development cycles.
Model Serving & Deployment Platform
Spec Legacy’s model serving and deployment platform delivers secure, scalable infrastructure for running AI models in production. Built on Kubernetes with Istio, it supports canary releases, A/B testing, and controlled rollouts with automatic rollback for safety. The system manages multiple model versions at once, enabling smooth updates across varied use cases. Real-time dashboards track latency, throughput, and performance to ensure reliability and speed. With built-in feature stores maintaining online and offline consistency, the platform handles millions of requests efficiently, keeping inference times below 100ms for real-time applications across industries.
