Core AI Infrastructure.

Leverage AI for easy-to-solve problems with complete data security.

Many companies find themselves overwhelmed when trying to adopt AI. With so many applications, vendors, and evolving technologies, it’s hard to know where to start, and often, AI gets limited to tasks like content creation or chatbots, leaving much of its potential untapped.

As a business, protecting your data is a top priority, but relying on on-premises solutions can quickly become expensive and difficult to manage. Cloud-native AI can offer better options, with stronger security and shared responsibility, easing operational burdens, while ensuring compliance and efficiency.

Still, without the right expertise, cloud-based AI can introduce risks, especially when it comes to handling sensitive data and meeting regulations like GDPR or ISO-27001. Many companies miss out on AI’s full potential simply because they’re unsure how to implement it securely and effectively.

THE PROBLEM.

OUR SOLUTION.

Our Core AI Infrastructure solution helps companies smoothly transition into AI. Stakeholders will understand key models like sentiment analysis, topic extraction, propensity, and churn, and map these models to specific business processes for real improvements. By deploying a secure and compliant AI architecture on AWS, IT teams can confidently ensure their data is protected and meets necessary compliance standards.

HOW WE DO IT.

We start by identifying bottlenecks in your business where processes or product features are manual, inefficient, error-prone, or have potential for significant improvement. Our team works with you to determine which AI models will be most effective, how to apply them, the data needed for training, and the best architecture for implementation. We also help design the ideal user interfaces and integrations to deliver results. Lastly, we guide you in building an MLOps process to maintain and expand your AI infrastructure, enabling the seamless addition of new AI capabilities as your business grows.

  • This service works best for customers looking to build their own AI practice and need an expert to review strategy and answer questions based off their industry expertise.

    Duration: Month to Month
    Price: $1,000 Per Month

  • This service works best for customers who have their own internal teams to build an AI solution, but would like an outside expert to provide an unbiased view of the situation. The assessment takes 2 -3 weeks and we'll deliver an analysis (SWOT, Scorecard, or Gap Analysis) along with an implementation plan that includes tasks, budget, and timing.

    Duration: 2 - 3 Weeks
    Price: $8,000

  • This service works best for customers who may not have the IT resources internally to build an AI Infrastructure solution and need a fractional expert to come in for a few months to build and launch the process. Once completed, the fractional expert will enable and train your team to take over and manage the process.

    Duration: 3 Months
    Cost: $12,000 Per Month

  • This service works best for organizations who hired FractionX to perform an implementation of our Core AI Infrastructure solution and would like to retain the fractional expert on a quarterly basis to oversee MLOPS and incrementally improve the solution.

    Duration: Quarter to Quarter
    Cost: $5,000 per month ($15,000 per quarter)

HOW WE CAN HELP YOU.

QUESTIONS? NEED A QUOTE?

Give us 25 minutes and we’ll get you a proposal.