Service Info

  • Service :Custom AI Models
  • Company :Botmer International
  • Focus :Predictive Intelligence
  • Use cases :Finance, Retail, Operations

We design AI systems that don’t just automate — they predict. From forecasting demand and detecting fraud to suggesting actions based on behavior, our models turn raw data into forward-thinking decisions.

Our approach involves data preprocessing, model development, testing, and full integration. We specialize in building bespoke AI tailored to your business KPIs—not just off-the-shelf templates.

Capabilities of our custom models

We create domain-specific intelligence for real-time decision-making across industries.

  • Real-time sales or demand forecasting
  • Churn prediction and customer scoring
  • Fraud and anomaly detection
  • Product recommendation engines
  • Predictive maintenance in machinery
  • Custom scoring & segmentation logic

From idea to deployment

Each model goes through a streamlined pipeline to ensure it’s useful, reliable, and scalable.

Step 01

Model Strategy

We align model design with key business problems and required outputs.

Step 02

Development & Testing

We train, evaluate, and stress-test models on historical and synthetic data.

Step 03

Deployment & Optimization

Live testing, version control, and monitoring tools ensure your models deliver measurable business value.

Client Outcomes

Our predictive models have helped clients cut costs, reduce risk, and uncover hidden growth opportunities.

  • Forecasted sales within 5% error rate
  • Reduced churn by over 18% in 3 months
  • Detected 91% of fraudulent activity before impact
  • Personalized product journeys for each user

Predictive AI isn't magic—it's strategy, data, and engineering combined. We turn signals into foresight so your business can lead with confidence.

Frequently asked questions

Yes, we’ve worked in finance, e-commerce, healthcare, manufacturing, and more. Each solution is tailored from scratch.

It depends on the complexity of the use case. We’ve built models with as little as a few thousand records.

We optimize for business accuracy—not just statistical performance. We’ll align metrics with your real-world goals.

Yes. We offer maintenance and update cycles so models stay relevant over time as business dynamics change.

Most models take 2–5 weeks from kickoff to production depending on complexity, data access, and feedback cycles.