Standard AI solutions often fall short when it comes to meeting unique business needs. Off-the-shelf models lack the flexibility, accuracy, and contextual understanding required to deliver meaningful outcomes.
DiLytics develops custom AI/ML models using your proprietary data to solve unique business challenges with higher accuracy, security, and measurable outcomes.
Define objectives (e.g., classification, prediction) and success metrics (accuracy, recall, and cost reduction)
Collect, clean, quality and preprocess data, handling missing values and outliers
Perform feature engineering, build baseline models, and train using business-specific datasets
Perform cross-validation, benchmark against baselines, and ensure fairness and explainability
Deploy as API/microservice, integrate with enterprise systems, and set up monitoring and retraining
Document the model and provide handover sessions with the client’s team
Unlock precise, data-driven intelligence built specifically for your business needs and industry challenges.
Timeline for Custom AI Model Development Offering is approx. 12 weeks
DiLytics‘ custom AI models aren’t just technically sound – they’re built to solve real business problems, drive measurable outcomes, and put you in control. Every solution is designed to align with your goals, data, and domain, ensuring AI that actually delivers impact, not complexity.
DiLytics develops custom AI/ML models using your proprietary data to solve unique business challenges with higher accuracy, security, and measurable outcomes.
Leverage tailored AI models to turn complex data into clear, actionable insights that improve performance and efficiency.
DiLytics begins with a thorough discovery & requirements gathering, standardizing formats, filling gaps, and integrating sources into a unified pipeline, so models are built on clean, high-quality inputs.
By leveraging domain-specific features and iterative fine-tuning, DiLytics consistently achieves accuracy improvements over generic solutions, often reducing prediction error by 30-40% in pilot phases.
All models, code, and insights remain the exclusive property of your organization. DiLytics delivers turnkey assets and documentation without retaining any rights, ensuring complete client ownership.
From discovery through deployment, projects follow a structured six-phase process that generally spans approximately 12 weeks, depending on data complexity and compliance requirements.
Post-launch, document the model, and provide handover sessions with the client’s team. Alternatively, we also offer support and maintenance managed services to help organizations which lack IT support.
Custom AI models are ideal for any industry like finance, retail, healthcare, manufacturing, and logistics, supporting use cases such as demand forecasting, fraud detection, customer segmentation, predictive maintenance, and recommendation systems.