AI Studio
On-Demand Head of AI · Chief Data Scientist
AI Consulting, Strategic Advisory
We deliver end-to-end AI leadership — from LLM systems and RAG pipelines to agentic workflows and quantum computing. Fractional Head of AI and Chief Data Scientist for post-seed startups and organisations navigating high-consequence AI decisions.
From strategy and architecture to hands-on delivery. I help post-seed startups build production AI systems that actually work.
AI Strategy
Define your AI roadmap, evaluate build-vs-buy decisions, and architect systems that scale with your business.
RoadmapsArchitectureVendors
LLM & RAG Systems
Production-grade retrieval-augmented generation pipelines with proper evaluation, guardrails, and observability.
RAGEmbeddingsEvaluation
Agentic Systems
Tool-integrated reasoning agents that perform real tasks. Multi-step workflows with proper error handling.
AgentsToolsWorkflows
Quantum Computing & QML
Applied quantum computing and quantum machine learning for research, prototyping, and advanced computational workflows.
QuantumQMLResearch
Geopolitical & Strategic Advisory
Applied analysis for complex geopolitical environments, dual-use technology strategy, and AI-enabled policy questions.
Geopolitical RiskDual-Use StrategyPolicy Analysis
Ways to Engage
From fast decisions to embedded leadership
Choose the model that fits your stage, timeline, and technical ambition.
01
Strategic Advisory Calls
Perfect for: Urgent decisions around your first AI hire, reviewing technical approaches, or pressure-testing a specific problem.
What you get: A focused one-hour session tackling your current AI challenge, with preparation based on the materials you share in advance.
Full refund if expectations are not met within 15 minutes
02
AI/ML Health Check & Roadmapping
Perfect for: Companies with existing AI initiatives that need a sharp assessment of the current state and a realistic plan for next steps.
What you get: A structured review, gap analysis against best practices, and a roadmap aligned with your team capacity and business goals.
Deliverables: Written assessment, prioritized roadmap, technology recommendations, and team-structure guidance.
03
Custom AI/ML Project Development
Perfect for: Well-scoped projects where you need expert execution while building your team’s capacity to maintain the result.
What you get: Direct collaboration to deliver working systems such as RAG pipelines, computer vision workflows, multimodal products, or LLM fine-tuning.
Approach: Fixed-fee project or milestone engagements with knowledge transfer built in throughout.
04
Fractional Head of AI / Chief Data Scientist
Perfect for: Startups that need executive-level AI leadership without committing to a full-time hire too early.
What you get: Strategy, hiring, architecture, and hands-on delivery across LLM/RAG, agentic systems, and quantum/QML initiatives with production-grade guardrails.
Commitment: Monthly retainer, typically one to two days per week embedded.
05
OSX AI App Development
Perfect for: Teams that want to ship native macOS AI applications instead of limiting themselves to browser-only tools.
What you get: End-to-end Apple Silicon app development with local and cloud model support, offline-first workflows, and release-ready packaging.
Scope: Desktop UX, model integration, performance optimization, packaging, and launch support.
Common Scenarios
Real problems, practical solutions
Representative issues we help teams solve in production, hiring, and AI strategy.
"Our AI PoC works in the lab, but we cannot get it to production"
Bridge the gap between research prototypes and production systems that survive scale, drift, latency, and edge cases.
"We are drowning in AI vendor pitches and do not know who to trust"
Evaluate vendors objectively, negotiate better terms, and avoid expensive outsourcing mistakes around core AI capability.
"We need to hire AI talent but do not know how to assess candidates"
Design interview loops, evaluate technical depth, and separate genuine builders from candidates who only sound fluent.
"Our AI architecture will not scale with our growth projections"
Review the technical roadmap, identify bottlenecks, and design systems that can grow with the business rather than blocking it.
"We want to implement LLMs but do not know where to start"
Choose the right path across RAG, model fine-tuning, agents, and multimodal workflows, then execute without wasting quarters.
"Our AI initiatives deliver mixed results and we need direction"
Align AI investments to business objectives, remove dead-end work, and focus execution on systems that produce measurable value.
AI Guide
Read the practical AI guide
Frameworks, decision criteria, and hands-on guidance for teams planning their next AI move.
AI scientist, strategic scholar, and founder of QNeura.ai.
Clients include Fortune 500 programmes, defence-adjacent organisations, and venture-backed startups. Engagements are conducted under NDA.
Shlomo Kashani
Founder, QNeura.ai
AI scientist and strategic scholar with twenty years of hands-on systems engineering. Founder of QNeura.ai, advising technology companies and institutional clients on production AI systems and the geopolitical dimensions of advanced technology. Leads delivery of LLM platforms, RAG pipelines, agentic architectures, and quantum machine learning at scale. AIMO-2 Gold Medalist.
