We help teams design, build, and ship production-grade AI and on-chain systems — from multimodal retrieval and intelligent automation to smart contracts on Ethereum and Solana, plus hands-on training for your engineers.
Khrystynych Innovations Inc is a boutique AI and Web3 consultancy. We partner with startups and established teams to turn promising prototypes into reliable, production systems — and to level up the people who maintain them.
Our work sits at the intersection of applied machine learning, on-chain engineering, and pragmatic software practice. We design multimodal retrieval pipelines, automate workflows with agents and LLMs, ship smart contracts and integrations on Ethereum and Solana, and run hands-on training programs tailored to your stack. No hype, no black boxes — just systems your team can understand, extend, and own.
Grounded answers over text, images, audio, and video.
We design retrieval-augmented generation systems that reason across modalities — so your models can cite the right passage, frame, or chart instead of hallucinating.
Agents and workflows that replace repetitive work.
We build agentic systems and LLM-powered automations that plug into your existing stack — from triage and drafting to multi-step workflows with human-in-the-loop checkpoints.
Hands-on upskilling for your engineering team.
Custom workshops and coaching programs that take your engineers from curious to capable. We tailor the curriculum to your codebase, your stack, and the problems you actually need to solve.
Production-grade smart contracts and on-chain integrations on Ethereum and Solana.
We design, build, and audit on-chain systems on Ethereum (EVM) and Solana — from escrow and marketplace contracts to wallet integrations and indexing pipelines. We bring the same engineering discipline to Web3 that we bring to AI: evaluation, observability, and safe rollout.
Notes from the Global Azure Bootcamp — API governance for AI workloads, the new shape of phishing, knowledge graphs as a context layer for LLMs, and why governance keeps showing up in every talk.
Notes from a meetup talk on real-world API breaches — the patterns that keep producing them, and the small, boring controls that prevent most of the damage.
Notes from building a RAG system over technical PDFs at D&V Electronics — the modality gap between text questions and image-only answers, and the practical fixes that closed most of it.
