AI engineering
AI engineering for products that have to work in production
BitFashioned builds AI agents and LLM-backed systems for teams that need them to be reliable, measurable, and safe, including AI that reads on-chain data or prepares transactions without being trusted to sign them blindly.
Who this is for
- Product teams adding agents or LLM features that need evaluation, guardrails, and cost control
- Crypto and fintech teams that want AI near wallets, transactions, or on-chain data without new attack surface
- Companies with internal workflows that AI could run, if someone engineers it properly
Who this is not for
- Teams looking for a chatbot wrapper with no integration work
- Training frontier models from scratch
What we actually do
AI agents
Tool-using agents with scoped permissions, human approval where it matters, and logs you can audit.
LLM systems
Retrieval, structured outputs, model selection, and evaluation pipelines so quality is measured instead of guessed.
AI and crypto
Agents that read on-chain data, monitor positions, or draft transactions, with signing kept behind explicit policies and human approval.
Production engineering
Backends, APIs, and DevOps around the model: latency, cost, observability, and fallbacks when the model is wrong.
Start here
Tell us the workflow you want AI to handle and what happens when it gets it wrong. We will tell you quickly whether AI is the right tool for it.