Capabilities
Our AI development
capabilities
Custom Model Training
Fine-tune foundation models or train task-specific architectures from scratch using PyTorch, TensorFlow, and JAX — optimized for your domain data and latency requirements from day one.
NLP & Language Intelligence
Text classification, entity extraction, sentiment analysis, and semantic search powered by BERT, RoBERTa, and sentence-transformers.
Computer Vision Systems
Object detection, image segmentation, OCR, and visual inspection pipelines using YOLO, Detectron2, and Vision Transformers on edge or cloud infrastructure.
MLOps & Model Serving
Reproducible training pipelines, model versioning with MLflow, and low-latency serving via TorchServe, Triton Inference Server, or custom FastAPI endpoints.
Data Engineering for AI
Feature stores, ETL pipelines, and data labeling workflows using DVC, Great Expectations, and Apache Spark that feed clean, versioned datasets into your training loops.
AI Strategy & Prototyping
Validate feasibility before committing to full builds. We run rapid proof-of-concept sprints to benchmark model accuracy, estimate infrastructure costs, and define a clear path to production.
How we build it
Discovery & Data Audit
We assess your existing data assets, define success metrics, and identify the highest-impact AI use case to tackle first — ensuring the problem is well-scoped before any code is written.
Experimentation & Baseline
Our engineers build rapid prototypes, benchmark multiple model architectures, and establish baseline performance metrics so you can make informed go/no-go decisions with real numbers.
Production Engineering
We harden the winning approach into production-grade code with CI/CD pipelines, monitoring dashboards, automated retraining triggers, and infrastructure-as-code for repeatable deployments.
Deployment & Iteration
Models ship behind feature flags with A/B testing. We monitor drift, latency, and accuracy in real time, feeding learnings back into the next training cycle for continuous improvement.
Build AI That
Actually Ships
Talk to our engineering team about turning your AI ambitions into deployed, measurable systems.
Schedule a CallReal words from the colleagues and collaborators We've partnered with.
Reviews
Founder & CEO, Sokrateque.ai
Tjaco Walvis
“Xpiderz has been instrumental in bringing Sokrateque.ai to life. Their team built advanced multi-agent systems, integrated Power BI with LLMs, and delivered a seamless data exploration pipeline that exceeded our expectations. Their deep understanding of AI, automation, and scalable architectures helped us unlock real value from our product. We're incredibly satisfied with their work and highly recommend them.”