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AI-Driven Data Science Services
for Enterprise Growth 

Enable intelligent decision-making with advanced
predictive analytics and responsible innovation

Trusted by Leaders

Reliable Data Science Services
Don’t let data complexity and unethical concerns prevent your business from adopting AI technologies. Deploy AI that predicts customer behavior, optimizes operations, and drives revenue growth. We can help you bridge the gap between data science experimentation and business value creation. 

Testimonials

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I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

Amay Sharma
CEO, Unblast 

Driving Success Through
Strategic Partnerships

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Our story

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Case Study

 

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Our story

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Intelligence That
Scales
We create intelligent systems that learn, adapt, and drive measurable business outcomes. Our approach ensures your AI investments deliver sustainable competitive advantages. 
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Advanced AI/ML Analytics That Actually Works

With our advanced AI/ML analytics services, you can predict customer churn accurately, detect fraud within milliseconds, and reduce inventory costs by forecasting demand precisely. We provide end-to-end ML pipelines from feature engineering to model monitoring, along with automated MLOps services. Our MLOps services ensure your data models deliver consistent value in production environments. You benefit from faster time-to-market, automated monitoring, and reduced maintenance overhead through automated retraining.

Key Capabilities

Feature-Store-Implementations

Feature Store Implementations

Feast, Databricks Feature Store, SageMaker Feature Store.

ML-Frameworks

ML Frameworks

TensorFlow, PyTorch, scikit-learn, XGBoost, Databricks AutoML.

MLOps-Platforms

MLOps Platforms

MLflow, Kubeflow, Vertex AI Pipelines, SageMaker Pipelines.

Model Explainability

Model Explainability

SHAP, LIME, Google Explainable AI, Azure Interpret ML.

Continuous-Training-and-Monitoring

Continuous Training & Monitoring

Automated drift detection and retraining pipelines.

Explore AI/ML Analytics
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Predictive Analytics

Our predictive analytics platform transforms historical patterns into future intelligence that helps you make proactive business decisions. We deliver automated AI-powered insights to help you scale your business, including the ability to simulate “What-if” scenarios for strategic planning. With our predictive analytics services, you can increase revenue through improved targeting and segmentation, reduce inventory waste, and prevent fraud and identify performance issues.

Key Capabilities

Domain-Specific-Models

Domain Models

Churn prediction, fraud detection, demand forecasting, CLV analysis.

Time-Series-Analysis

Temporal Analysis

ARIMA, Prophet, Holt-Winters, LSTM neural networks.

BI-Integration

Unified Reporting

Power BI, Tableau, Looker, Streamlit, Shiny.

Automated-Model-Selection

Automated Model Selection

Hyperparameter tuning and optimization pipelines.

Explore Predictive Analytics
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Generative AI & LLM Engineering

Deploy intelligent assistants that understand your business, answer complex questions, and automate knowledge work with conversational AI. We deliver domain-specific AI Assistants by custom training LLMs on your business knowledge. RAG-powered knowledge systems ensure secure information retrieval. You gain 24/7 intelligent support, reduced service costs, faster document processing, and quicker decisions through conversational BI.

 

Key Capabilities

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LLM Platforms

OpenAI API, Anthropic, Azure OpenAI, Vertex AI PaLM, Amazon Bedrock.

RAG-Architectures

RAG Architectures

Vector databases like Pinecone, Weaviate, Azure Cognitive Search.

Fine-Tuning-and-Prompt-Engineering

Fine-tuning

Custom training with safety guardrails for reliable outputs.

API Integration

API Integration

Connect LLMs to business apps for automation and insights.

Responsible-AI-Practices

Responsible AI Practices

Bias detection, usage policies, and comprehensive logging.

Explore Generative AI
The Covasant 
Data Science Advantage
Covasant brings together deep domain expertise, a proven AI-first engineering approach, and proprietary accelerators to deliver faster, smarter, and more scalable transformation outcomes. Our focus on intelligence, interoperability, and innovation gives enterprises the edge they need to modernize with confidence and clarity.
Data Engineering

The Foundation of Data Excellence

Transform raw data into enterprise-ready assets with our intelligent data platform engineering. We architect data ecosystems that scale with your business requirements along with building pipelines.

Differentiators

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Startup Speed, Enterprise Scale

  • Rapid prototyping and deployment cycles
  • Experienced data scientists
  • Flexible engagement models from proof-of-concept to full production
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Research-Backed Innovation

  • Cutting-edge algorithms and techniques
  • Continuous learning from the latest AI research
  • Custom model development for unique business challenges

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Business-First Approach

  • Every model tied to measurable business outcomes
  • Transparent ROI tracking and optimization
  • Focus on user adoption and business value realization
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Responsible AI Leadership

  • Ethical AI practices built into every solution
  • Explainable AI for regulatory compliance
  • Bias detection and mitigation strategies

Explore Data Engineering

Your Success Is Our Mission!

Let's build your data-driven future together. 

Get in Touch

 

Insights

Frequently Asked Questions

What makes Covasant’s data science services different from traditional analytics providers?

Covasant goes beyond dashboards and reports. We engineer intelligent systems that learn, adapt, and deliver measurable outcomes. With MLOps, Generative AI, and a business-first focus, we ensure your AI investments translate to real-world impact.

 

How do you ensure models stay accurate and effective over time?

Our MLOps capabilities include automated monitoring, drift detection, and continuous model retraining ensuring your AI models remain reliable in changing business conditions.

 

What kinds of AI and predictive analytics use cases do you support?

We support high-impact use cases like churn prediction, fraud detection, demand forecasting, credit risk analysis, predictive maintenance, and more tailored by industry.

How do you approach Generative AI and LLM-based solutions?

We build custom AI assistants using LLMs trained on your proprietary knowledge. These systems offer secure, real-time conversational intelligence using RAG architecture, with built-in safety and bias controls.

Can your solutions integrate with our existing BI tools like Power BI or Tableau?

Yes. Our AI-powered insights can be embedded into your existing BI platforms making predictive intelligence accessible to business users without disrupting workflows.

How does Covasant ensure responsible and ethical AI implementation?

We embed Responsible AI into every solution ensuring transparency, explainability, bias mitigation, and compliance with industry regulations.