Expert confidential guidance in self-hosting AI, data protection, and R&D strategy. Build independent, privacy-first AI capabilities with agentic systems, self-hosted infrastructure, and responsible AI practices.
Professional guidance from initial strategy through implementation and follow-up
Develop efficient self-hosting AI setups with Hugging Face models. Achieve full data protection and privacy compliance while optimizing team resources and avoiding high cloud costs.
Self-hosting AI deployment, Hugging Face models, privacy-preserving infrastructure, data protection compliance, agentic AI setup, workflow automation
Expert assessment of your AI research papers or grant proposals to identify analysis strengths and suggest improvements before official submission.
Technical accuracy, methodology rigor, statistical analysis, reproducibility, presentation clarity, compliance alignment
In-person, hybrid, or online intensive training sessions for deep-dive upskilling in responsible and compliant AI usage to dramatically improve team productivity.
Prompt engineering, MLOps pipelines, compliance (GDPR/AI Act), responsible AI practices, model fine-tuning, agentic workflows
Not sure which service fits your needs? Schedule a 30-minute consultation to explore your challenges, discuss potential solutions, and determine if Self Reliant Labs is the right partner for your AI journey.
Your current AI/ML setup, pain points with cloud costs or compliance, team capabilities, and which service offering would provide the most value for your specific situation.
See how organizations leverage our self-hosting AI expertise to save costs, protect data privacy, and maintain full data sovereignty
A European analytics company was spending €25K/month on AWS compute for data analysis and €15K/month on OpenAI API credits. Their R&D team needed to experiment with multiple models, but cloud costs were limiting innovation.
After our R&D AI Strategy consultation, we designed an agentic workflow using open-source Hugging Face models on their existing on-premise infrastructure. We optimized their pipeline to use Llama 3, Mistral, and specialized domain models.
A university research group's Horizon Europe proposal used traditional machine learning methods. Initial internal review flagged concerns about methodology being outdated compared to current state-of-the-art approaches and lacking explainability.
During our Pre Peer-Review session, we identified opportunities to upgrade their analysis to modern neural network architectures with integrated explainability methods (SHAP, attention visualization). We provided specific technical recommendations and relevant citations.
A 25-person fintech development team was heavily reliant on ChatGPT Enterprise (€60K/year) and Claude API (€60K/year). Security team raised GDPR concerns about sensitive financial data being processed by third-party APIs. Team lacked skills to self-host alternatives.
We delivered a Full-Day Workshop training the team on self-hosting AI with local LLM deployment, data protection-compliant agentic workflows, and privacy AI practices. Hands-on exercises covered Ollama setup, RAG implementation, and fine-tuning for their domain.
Ready to achieve similar results for your organization?
Explore Our ServicesA structured approach ensuring maximum value and actionable outcomes
Upon booking, you'll receive a tailored preparation form linked in your Calendly confirmation. This allows us to understand your specific challenges, goals, and context, ensuring our time together is highly focused and productive.
Your requested meeting type—whether R&D strategy session, grant review, or full-day workshop. We dive deep into your specific needs with expert guidance, practical recommendations, and interactive problem-solving.
Within 72 hours, you'll receive a comprehensive reference document summarizing key insights, recommended actions, relevant resources, and next steps. This becomes your roadmap for implementation and ongoing reference.
Select the service that matches your needs and schedule directly via Calendly
90 minutes
Agentic setup, Hugging Face models, efficient team resources, cloud cost optimization
90 minutes
Expert assessment of analysis strengths with improvement suggestions for higher success rates
8 hours (In-person/Hybrid/Online)
Deep dive upskilling in responsible and compliant AI usage to improve team productivity
30 minutes
Not sure where to start? Let's have an informal conversation about your challenges and goals. We'll help you understand if and how Self Reliant Labs can help, with zero pressure.
Note: All bookings include a preparation form (sent via Calendly), the consultation/workshop session, and comprehensive follow-up reporting for your reference. Calendar invites will contain links to the preparation forms.
Payment & Terms: Payment is collected at the time of booking via Calendly (powered by Stripe). By completing a booking, you agree to our Terms & Conditions, Cancellation Policy, and Privacy Policy.
Deep technical knowledge across AI, ML, and healthcare technology
Advanced NLP architectures including transformers, LLMs, RAG systems, and fine-tuning for domain-specific applications.
Multimodal models for image analysis, video processing, speech recognition, and audio synthesis with state-of-the-art architectures.
Privacy AI solutions, data protection-compliant ML, synthetic data generation, federated learning, and GDPR-compliant self-hosting AI pipelines for sensitive domains.
Self-hosting AI pipelines, production ML deployment, monitoring, private on-premise infrastructure, and cost-optimized compute strategies for full data sovereignty.
Autonomous AI agents, tool-using systems, multi-agent orchestration, and cross-modal reasoning for complex workflows.
Privacy AI for healthcare, finance, defense, and regulated sectors with strict data protection compliance, audit trails, and data sovereignty requirements.
Professional AI consulting by Senason
Self Reliant Labs is the consulting practice of Sean Benson. We specialize in self-hosting AI, privacy-first AI solutions, and data protection-compliant systems — making advanced AI/ML accessible and practical for research teams and organizations.
With a background spanning particle physics research at CERN's LHCb experiment to building healthcare AI research infrastructure and regulated AI applications as part of KPMG Advisory, our approach combines rigorous scientific methodology with practical engineering experience.
As founder of startups and research groups, I bring hands-on experience in regulated AI applications, compliance requirements, and production deployment challenges.