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, making custom AI solutions essential for complex business requirements.
DiLytics specializes in custom AI model development, creating AI/ML models using your proprietary data to solve unique business challenges with greater 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 with custom AI business analytics built around your business needs, proprietary data, and industry-specific challenges.
Timeline for Custom AI Model Development Offering is approx. 12 weeks
DiLytics’ custom AI solutions 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 around your goals, data, and domain to deliver custom AI insights and ensure AI that creates measurable business impact without unnecessary 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 custom AI-driven insights that improve performance, efficiency, and business decision-making.
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.