Capabilities
End-to-end LLM engineering
Custom Pre-Training
Build foundation models from scratch using PyTorch and DeepSpeed, trained on curated domain-specific corpora to capture the terminology, reasoning patterns, and knowledge unique to your industry.
Domain-Specific Models
Specialized LLMs for healthcare, legal, finance, or technical domains that outperform general-purpose models on industry benchmarks with deeper contextual understanding.
Inference Optimization
Quantization (GPTQ, AWQ), speculative decoding, KV-cache optimization, and TensorRT-LLM compilation to slash latency and reduce serving costs by up to 80%.
Safety & Alignment
RLHF, constitutional AI techniques, and red-team testing pipelines to ensure your model produces safe, unbiased, and policy-compliant outputs across all use cases.
Evaluation Frameworks
Automated benchmarks, human preference studies, and domain-expert review loops to measure accuracy, hallucination rates, and task-specific performance metrics.
Scalable Deployment
Production-grade serving infrastructure on Kubernetes with vLLM or Triton Inference Server, featuring auto-scaling, A/B testing, model versioning, and real-time monitoring dashboards.
How we build it
Data Strategy & Curation
We audit your data assets, source complementary public datasets, and build robust preprocessing pipelines including deduplication, toxicity filtering, and quality scoring to assemble a training corpus.
Architecture & Pre-Training
Our engineers select the optimal transformer architecture, configure distributed training across GPU clusters using FSDP and DeepSpeed ZeRO, and execute multi-stage pre-training runs with checkpoint management.
Alignment & Evaluation
We fine-tune the base model with supervised instruction data, apply RLHF or DPO alignment, and evaluate against domain benchmarks to ensure the model meets accuracy and safety thresholds.
Deployment & Iteration
The optimized model is deployed behind a high-throughput API with rate limiting, observability, and feedback collection, enabling continuous improvement through data flywheels and periodic retraining.
Build an LLM That Truly
Understands Your Domain
Partner with us to create a custom language model that gives your organization a lasting competitive edge in AI.
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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.”