William Bond

I build and publish premium synthetic datasets for fine-tuning large language models on institutional-grade financial domain knowledge. Specialising in quantitative finance, systematic trading, market microstructure, derivatives pricing, and algorithmic execution research. Each dataset is generated via multi-agent AI simulation and direct Claude generation pipelines producing instruction-tuning triplets (system/instruction/response) that are technically precise, domain-specific, and MIT licensed for commercial use. Current catalogue: Quantitative Research Instruct Dataset v1.0 — factor models, HFT, derivatives, execution, risk, stat arb, ML quant, macro, crypto Cybersecurity Research Dataset — coming Week 2 Clinical Research Dataset — coming Week 3 Who uses BondFoundry datasets: AI labs fine-tuning financial LLMs, hedge funds building proprietary trading assistants, fintech companies training domain-specific models, academic researchers studying synthetic financial data. Enterprise custom orders: info@bondfoundry.com Website: bondfoundry.com X: @BondFoundry New datasets released daily. Growing catalogue of premium niche AI training data.