1. Strategic Advisory Calls

Perfect for: Urgent decisions around your first AI hire, reviewing technical approaches, or getting expert advice on a specific problem.

What you get: One-hour focused session tackling your specific AI challenge. Fee includes our preparation based on your briefing materials. Full refund available if expectations aren't met within 15 minutes of call start.

Typical scenarios: "Should we hire an AI engineer or ML scientist?", "Is our RAG architecture sound?", "Which LLM should we use for our use case?"

2. AI/ML Health Check & Roadmapping

Perfect for: Companies with existing AI initiatives who want to assess their current state and plan their next steps strategically.

What you get: Comprehensive assessment of your AI/ML capabilities, gap analysis against best practices, and detailed roadmap that matches your capacity—not just the latest shiny tools.

Deliverables: Written assessment report, prioritized roadmap, technology recommendations, team structure guidance.

3. Custom AI/ML Project Development

Perfect for: Well-scoped projects where you need expert execution while building your team's capacity to maintain the solution.

What you get: Direct collaboration with your team to deliver working solutions. Examples include advanced RAG systems, computer vision pipelines, multi-modal AI applications, or LLM fine-tuning projects.

Approach: Fixed fees at project/milestone level for predictable budgeting. Knowledge transfer throughout to ensure your team can maintain and extend the work.

4. Fractional Head of AI/ML Engineering

Perfect for: Growth-stage companies ready to scale their AI initiatives seriously and build long-term competitive advantages.

What you get: Part-time AI leadership including strategic planning, hands-on technical work, team formation, vendor management, and building your in-house AI capabilities.

Commitment: Long-term partnership (6+ months) with embedded team presence, regular strategy sessions, and quarterly roadmap reviews.

Advanced LLM/RAG Systems & Model Development

Expert-level proficiency with Anthropic, OpenAI, DeepSeek, Gemma, and Qwen models. We handle pre-training, fine-tuning, LoRA adaptations, and multi-GPU inference optimization. Deploy across HuggingFace, LMDeploy, vLLM, and llama.cpp for cloud or edge environments.

We create synthetic instruction datasets, build robust systems with Model Context Protocol (MCP), and architect advanced RAG systems that actually work in production—not just demos.

End-to-End Production Infrastructure

Hands-on experience with AWS/GCP deployment and edge computing optimization. Proficient in Python, PyTorch, CUDA, ONNX, and TensorRT for high-performance inference pipelines.

We also develop real-time applications using C++, JUCE, and CMake for ultra-low latency processing needs. From research prototypes to production systems handling thousands of requests per second.

Multi-Modal AI & Generative Systems

Deep expertise in cutting-edge generative technologies: diffusion models and Stable Diffusion for images, voice cloning and TTS for speech, and synthetic video with automatic tagging.

We integrate text, image, audio, and video for comprehensive AI applications that maximize user value. Not only individual models, but cohesive systems that solve real business problems.

Team Building & AI Talent Strategy

Extensive experience interviewing candidates for generative AI positions, especially in diffusion models and LLMs. We help you recruit top-tier AI talent and build scalable, efficient development workflows.

We know what separates good AI engineers from great ones, and we'll help you identify candidates who can execute—not only theorize about AI possibilities.

Emerging Technologies & Quantum ML

Forward-looking expertise in quantum machine learning and hybrid quantum-classical systems. We help assess when emerging technologies like QML might provide competitive advantage and prepare roadmaps for future implementation.

Stay ahead of the curve with strategic guidance on next-generation AI technologies while maintaining focus on proven, production-ready solutions.

Every engagement starts with understanding your business. We dig deep to understand not just your technical challenges, but how AI fits into your broader strategy and growth objectives.

Our Consulting Principles:

• Pragmatic, iterative implementation
No theoretical frameworks or academic exercises. We build, test, and refine solutions that solve real problems for real users.

• Complete transparency in execution
We say what we'll do, do what we said, and communicate immediately if anything changes. You'll always know exactly where we stand.

• Choosing the right tools for the job
Whether that's a sophisticated neural network or a simple lookup table, we're focused on what actually works—not what's trendy.

• Building your team's capabilities
Our goal is to make ourselves obsolete by ensuring your team can maintain and grow what we build together. Knowledge transfer is built into every engagement.

• Honest feedback, always
We'll tell you what you need to hear, not what you want to hear. If your AI strategy has holes, you'll know about it—and more importantly, how to fix them.

To ensure the best results, we say no to engagements where there isn't a great fit. In such cases, we'll connect you to someone from our network who's better positioned to help you.

Here are the specific situations where our expertise makes the biggest impact:

• "Our AI proof-of-concept works great in the lab, but we can't get it to production"
We bridge the gap between research prototypes and production systems that handle real-world scale, edge cases, and performance requirements.

• "We're drowning in AI vendor pitches and don't know who to trust"
We help you evaluate vendors objectively, negotiate better terms, and avoid costly mistakes when outsourcing critical AI development.

• "We need to hire AI talent but don't know how to assess candidates"
We design interview processes, evaluate technical skills, and help you distinguish between candidates who can execute vs. those who just talk a good game.

• "Our current AI architecture won't scale with our growth projections"
We review your technical roadmap, identify bottlenecks, and design systems that grow with your business—not against it.

• "We want to implement LLMs/generative AI but don't know where to start"
From RAG systems to fine-tuned models to multi-modal applications—we help you choose the right approach and execute it successfully.

• "Our AI initiatives are delivering mixed results and we need strategic direction"
We provide the experienced leadership to align AI investments with business objectives and ensure your team is working on the right problems.

• "Should we be exploring quantum machine learning opportunities?"
We provide realistic assessments of when QML might provide competitive advantage and help you prepare for emerging technologies without losing focus on proven solutions.

We believe in building trust through small, low-risk engagements before moving to larger commitments. This approach benefits both of us—you get to evaluate our work quality and fit, while we gain deep understanding of your specific situation.

Typical Engagement Flow:

Step 1: Initial Consultation
We discuss your challenges, goals, and determine if there's a good fit. No sales pressure: only an honest assessment of how we can best help.

Step 2: Small Scope Engagement
Usually a strategic advisory call or focused technical review. This builds mutual confidence and gives us both data on working together.

Step 3: Expanded Collaboration
If there's strong alignment, we move to larger projects or ongoing fractional leadership arrangements tailored to your specific needs.

Investment Ranges:

Strategic Advisory Calls: Hourly rate includes preparation time
Health Check & Roadmapping: Fixed project fees based on complexity
Custom Projects: Milestone-based pricing for predictable budgeting
Fractional Leadership: Monthly retainer with quarterly reviews

Specific pricing discussed during our initial consultation based on your unique requirements and timeline.