Custom ML Models That Predict, Recommend, and Detect — With 92% Accuracy on Your Data
From demand forecasting that cuts inventory waste by 25% to fraud detection that catches 98% of suspicious transactions — we build production-grade ML models trained on your data.
Consultation call • No commitment • Prototype in 2-4 weeks
Struggling With These Data Challenges?
Decisions Based on Gut Feel, Not Data
You have data but no predictive models. Your teams make inventory, pricing, and marketing decisions based on spreadsheets and intuition while competitors use ML for precision.
Generic ML Tools Give Generic Results
AutoML and no-code platforms produce mediocre models because they don't understand your domain. You need models trained specifically on your data patterns.
ML Projects That Never Leave the Notebook
Your data scientists build impressive Jupyter notebooks but models never reach production. The gap between experimentation and deployment kills ROI.
Can't Scale Your Current Models
Your existing ML setup works for small datasets but breaks under real-world volume, latency requirements, or data drift.
We don't just build models — we deploy them, monitor them, and make sure they deliver business results.
From Data to Deployed Model in 3 Steps
Data Assessment & Use Case Scoping
We evaluate your data quality, volume, and relevance. Then define the ML use case, success metrics, and accuracy targets.
Model Development & Training
Feature engineering, model selection, training, hyperparameter tuning, and validation using your data. Regular demos every sprint.
Production Deployment & Monitoring
Containerized model deployment with API endpoints, real-time monitoring, automated retraining pipelines, and performance dashboards.
Our ML Development Services
Predictive Analytics Models
Forecast demand, churn, sales, and market trends with models that get smarter as your data grows. Make decisions 6 months ahead of your competition.
Used by retail, e-com, and finance clientsRecommendation Engines
Personalized product, content, and service recommendations that boost average order value by 18-30% and keep users engaged 2X longer.
18-30% AOV improvementAnomaly & Fraud Detection
Real-time detection of fraudulent transactions, network intrusions, or equipment failures — catching 98% of anomalies before they become costly problems.
98% fraud detection rateNatural Language Understanding
Text classification, sentiment analysis, entity extraction, and document understanding — automating what used to require human reading at scale.
Processes 10K+ documents/dayComputer Vision Models
Object detection, image classification, quality inspection, and OCR models deployed on edge or cloud for real-time visual intelligence.
Sub-100ms inference timeMLOps & Model Management
End-to-end ML pipelines: data versioning, experiment tracking, automated retraining, A/B testing, and model registry for production reliability.
Zero-downtime model updatesReal Impact Delivered
ML Recommendation Engine Boosted Cross-Sell
Manual product recommendations with low cross-sell rate (2.1%). ML recommendation engine increased cross-sell to 8.7%, AOV up 22%.
ML Credit Model Cut Defaults by 68%
Manual credit scoring with 15% default rate, slow approvals. ML credit model reduced defaults to 4.8%, approval time from 3 days to 4 hours.
Predictive Maintenance Reduced Downtime 78%
Unplanned equipment downtime costing ₹45L/month. Predictive maintenance model predicts failures 72 hours early, downtime reduced 78%.
What Our Clients Say
"Their recommendation engine increased our AOV by 22%. Best ML investment we've made."
"Credit defaults dropped from 15% to 4.8%. The model paid for itself in the first month."
"We went from reactive maintenance to predicting failures 3 days early. Downtime dropped 78%."
Why Vrddhim Technologies?
Typical ML Vendor
- Models that work in notebooks but not production
- Generic AutoML with mediocre accuracy
- No monitoring — model degrades silently
- Black-box predictions you can't explain
- Slow inference unsuitable for real-time use
- Data scientist builds model, you figure out deployment
Vrddhim Technologies
- Production-grade models with MLOps from day one
- Custom feature engineering for your domain
- Real-time monitoring with automated retraining
- Explainable ML with feature importance
- Sub-100ms latency on optimized infrastructure
- End-to-end: data to deployed API to dashboard
Accuracy Guarantee
If our ML model doesn't meet the accuracy targets agreed upon during scoping, we iterate at no additional cost until it does.
Get an ML ConsultationFrequently Asked Questions
Your Data Is a Goldmine. Stop Leaving It Unprocessed While Competitors Extract Insights.
92% accuracy • 100+ models deployed • 12+ industries
Get an ML Consultation
Describe your data challenge and we'll assess feasibility, recommend the right approach, and estimate accuracy potential.
Limited Slots: We onboard only a limited number of clients per month to ensure dedicated attention and results.
Get an ML Consultation
Describe your data challenge and we'll assess feasibility, recommend the right approach, and estimate accuracy potential.
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