Capabilities
Precision fine-tuning,
production-ready results
Data Preparation & Curation
We transform your raw documents, logs, and knowledge bases into high-quality instruction-response pairs using automated pipelines, synthetic data generation, and expert annotation workflows.
PEFT & LoRA Techniques
Parameter-efficient fine-tuning with LoRA, QLoRA, and adapter layers to adapt LLaMA 3, Mistral, and Gemma on a single GPU — cutting training costs by up to 90%.
Comprehensive Evaluation
Task-specific benchmarks, perplexity analysis, BLEU/ROUGE scores, and blind human preference evaluations against baseline and competing models.
Optimized Deployment
Export in GGUF, ONNX, or SafeTensors formats and deploy via vLLM, Ollama, or cloud-managed endpoints with quantization for cost-efficient, low-latency inference.
Continuous Monitoring
Output quality tracking, drift detection, and user feedback loops with automated alerting that triggers retraining pipelines when performance degrades.
Cost Optimization
Right-size your infrastructure with mixed-precision training, spot instance orchestration, and intelligent batching strategies that minimize cloud spend while maintaining strict SLA targets throughout production.
How we build it
Use Case Analysis & Base Model Selection
We evaluate your task requirements, latency constraints, and data volume to select the optimal foundation model — whether LLaMA 3, Mistral, Phi, or a domain-specific base — and define success criteria.
Dataset Engineering
Our team builds structured training datasets from your source material, applies quality filters, balances class distributions, and creates held-out evaluation sets to prevent overfitting.
Fine-Tuning & Hyperparameter Search
We run systematic experiments using Hugging Face TRL and Axolotl, sweeping learning rates, LoRA ranks, and training epochs while tracking every run in Weights & Biases for full reproducibility.
Validation, Deployment & Handoff
The best checkpoint is validated against real-world test cases, quantized for production, deployed behind your API gateway, and handed off with full documentation and retraining playbooks.
Get a Model That
Speaks Your Language
Fine-tune a foundation model to your exact specifications and start seeing results in weeks, not months.
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.”