Leeway Softech provides machine learning development services and custom machine learning solutions that help businesses turn data into predictive insights, automate decisions, improve customer experiences, and optimize operations. We design, develop, integrate, and monitor machine learning models around your business data, systems, and objectives.
Predictive value comes from models built on an organization's own data and integrated into its operating systems — not from generic, off-the-shelf algorithms. Leeway Softech develops machine learning solutions purpose-built around a client's existing infrastructure, converting historical and real-time data into decisions its teams can act on with confidence.
Every engagement is delivered as a complete solution — model development, systems integration, and ongoing performance monitoring — rather than a standalone analytical exercise.
Built on your data, not generic templates
Integrated into your existing systems
Full lifecycle — strategy to monitoring
Lead Scoring Model
accuracy
94.2%
Churn Prediction
AUC score
0.87
Demand Forecast
MAPE
12.4%
Fraud Detection
latency
<80ms
Production-grade · ISO/IEC 27001:2013 · CMMI Level 3
Live in Production
1,500+
Clients Served
14 Years
In Operation
3
Enterprise-Grade Global Certifications
Security
& Governance
Each capability below maps to a measurable business problem — sales efficiency, retention, forecasting, fraud — engineered to integrate directly into the systems your teams already use.
Quantifies conversion likelihood for incoming leads, directing sales resources toward the highest-value opportunities.
Identifies at-risk accounts in advance, enabling proactive retention intervention before attrition occurs.
Projects demand patterns to inform inventory planning, workforce allocation, and campaign scheduling.
Groups customers and prospects by behavioral pattern to sharpen marketing precision and improve campaign return.
Identifies irregular transaction or account activity in real time, strengthening risk controls without impeding legitimate customers.
Delivers personalized product, plan, or offer recommendations based on individual customer behavior and history.
Machine learning transforms customer acquisition from a broad-spend activity into a precision instrument — every dollar directed by evidence, not assumption.
Predictive models identify which prospect profiles convert at the highest rate, directing acquisition investment toward the highest-return segments.
Lead scoring enables sales teams to prioritize high-intent prospects at the point of highest interest, rather than after the fact.
By concentrating effort on high-probability prospects, organizations reduce the cost of converting each new customer.
Models retrain on new outcome data over time, so targeting precision improves continuously rather than degrading after deployment.
Every engagement follows a single, accountable lifecycle — from data discovery to continuous model performance.
Stage 01 of 05
Assessment of existing data assets — CRM records, transaction histories, engagement logs — to identify where machine learning can generate measurable business value.
Key Deliverables
Specific frameworks, model architectures, and hosting configurations are determined per engagement based on client data, scale, and existing technology infrastructure.
Selection of appropriate ML and deep learning approaches — classification, regression, clustering, or recommendation — matched to the specific business problem.
Robust data ingestion, cleaning, and transformation pipelines that ensure reliable, production-grade model training.
API-first architecture connecting model outputs directly to CRM, ERP, and customer engagement infrastructure.
Scalable, secure cloud hosting with encryption in transit and at rest, aligned with ISO/IEC 27001:2013 certification standards.
Tailored machine learning solutions that address the specific forecasting, scoring, and risk problems of each industry.
Sales conversion prediction, customer analytics, demand forecasting, and service-demand analysis.
Fraud detection, credit scoring, customer churn prediction, risk analysis, and transaction monitoring.
Enrollment prediction, student engagement analysis, and identification of students requiring additional support.
Booking demand forecasting and personalized guest offer recommendations.
Product recommendations, demand forecasting, customer segmentation, and inventory planning.
Sales and marketing investment directed toward the highest-converting prospects.
At-risk accounts identified with sufficient lead time for intervention.
Forecasting and scoring processes automated at scale.
Business decisions grounded in data rather than assumption.
Continuous retraining maintains accuracy as conditions evolve.
Trusted by 1,500+ clients across regulated and high-compliance sectors
ISO 9001:2015, ISO/IEC 27001:2013, and CMMI Level 3 certified
Custom-engineered models integrated into existing systems, not generic tooling
Strategy, development, integration, and ongoing monitoring delivered under a single accountable partner
"The predictive scoring model changed how our sales organization prioritizes engagement — our team now focuses exclusively on the opportunities most likely to convert."
Reference available on request
Everything you need to know...
