Capabilities
What we build
Custom LLM Applications
Build production applications on top of GPT-4, Claude, Llama, or Mistral with structured output parsing, guardrails, function calling, and prompt management systems that ensure reliable, deterministic behavior.
Content Generation Engines
Automate long-form writing, product descriptions, reports, and marketing copy with domain-tuned generation pipelines that maintain brand voice and factual accuracy at scale.
Code Generation & Dev Tools
Create AI-powered coding assistants, code review bots, and automated refactoring tools using fine-tuned code models integrated into your existing IDE and CI/CD workflows.
Image & Visual Generation
Deploy custom image generation pipelines using Stable Diffusion, SDXL, or DALL-E APIs with ControlNet guidance and LoRA fine-tuning on your brand assets.
Fine-Tuning & Alignment
Adapt open-weight models to your domain using SFT, DPO, and RLHF techniques, running on cost-efficient infrastructure with QLoRA and distributed training.
Evaluation & Safety Guardrails
Implement systematic eval harnesses with LLM-as-judge scoring, toxicity filters, PII redaction, and hallucination detection so your generative outputs stay accurate, safe, and on-brand in production.
How we build it
Use Case Definition
We map your generative AI opportunity against available models, define input/output schemas, and set measurable quality benchmarks — distinguishing what needs a fine-tuned model versus smart prompt engineering.
Prompt & Model Prototyping
Our team builds working prototypes with multiple model backends, testing prompt chains, retrieval strategies, and output formats to find the best cost-quality-latency tradeoff for your use case.
Fine-Tuning & Integration
We fine-tune selected models on your proprietary data, wire them into your application layer with streaming responses, caching, and fallback logic, then run red-team testing to surface edge cases.
Launch & Optimization
Production deployment with token-level cost tracking, response quality monitoring, and automated prompt regression tests — plus ongoing model swaps and optimizations as better options become available.
Build Generative AI That
Fits Your Business
Let's scope your generative AI project and identify the fastest path from prototype to production deployment.
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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.”