We Simplify

AI Adoption for

Maximum ROI

Custom AI Strategy and Consulting ensures that the solution is designed around your business’s specific goals, data, and processes. Unlike off-the-shelf models, custom solutions offer higher accuracy and relevance because they align with your workflows and challenges. They’re also more scalable and adaptable as your business evolves. This personalized approach enhances performance, minimizes integration hurdles, and maximizes return on investment.

AI can significantly transform your business operations by automating routine tasks, enhancing decision-making, and unlocking new opportunities for growth. From customer service chatbots to predictive analytics and smart recommendation engines, AI improves efficiency, reduces operational costs, and helps you stay competitive. It enables data-driven decisions, streamlines internal workflows, and offers personalized experiences to your end users.

Look for a partner who not only understands technology but also your business goals. Here's what to consider:

• Proven portfolio with AI/ML case studies and success stories
• Expertise in relevant frameworks and LLMs (e.g., GPT, Claude, LLaMA)
• Strong ethics, data security, and compliance practices
• Offers end-to-end AI strategy consulting — from ideation to deployment
• Scalability of solutions and post-deployment support

At GeekyAnts, we specialize in building a wide range of AI solutions tailored to business needs. This includes AI agents and autonomous systems, generative AI for text, image, and audio, and custom ML models designed for specific datasets. We also build Retrieval-Augmented Generation (RAG) systems, perform model fine-tuning, and provide robust MLOps support for automation, monitoring, and continuous deployment. Our solutions are designed to be ethical, explainable, and ready for real-world deployment.

The cost of developing an AI solution typically ranges from $15,000 to $150,000+, depending on the complexity and scope. A basic MVP with limited functionality may start around $15,000 to $30,000, while mid-level solutions with custom ML models, dashboards, or integrations usually fall between $40,000 to $80,000. For enterprise-grade platforms that involve advanced LLM integration, multi-agent workflows, or compliance-heavy domains like healthcare, the cost can exceed $100,000. After an initial discovery session, we provide a transparent, itemized cost estimate tailored specifically to your project’s goals, scale, and technical needs.

We support a wide variety of industries through tailored AI Strategy and Consulting solutions. Our expertise extends to healthcare and life sciences, where we develop systems for medical imaging and clinical decision-making, as well as retail and e-commerce, where we optimize pricing, manage inventory, and analyze customer sentiment. We've also delivered AI solutions in the fitness, wellness, mining, and financial sectors, ensuring that every system is aligned with domain-specific challenges and compliance requirements.

We ensure high model accuracy through a combination of technical rigor and strategic optimization. Our approach includes fine-tuning models using domain-specific datasets, applying cross-validation techniques, and monitoring performance using industry-standard tools like MLflow and Weights & Biases. Additionally, we compress and optimize models for deployment on low-spec devices and integrate ethical safeguards, including human-in-the-loop verification and explainable AI frameworks, to ensure long-term reliability.

Timelines depend on the complexity and readiness of your data infrastructure.

• Simple AI MVPs: 4–6 weeks
• Mid-scale AI projects: 2–3 months
• Enterprise-grade AI systems: 4–6+ months

We follow strict milestones with on-time delivery assurance, and the process starts with a discovery call and requirement assessment.