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Data & AI

Data & AI Solutions

ETL pipelines, MLOps, analytics dashboards, and pragmatic AI implementations.

Unlock Your Data

Data Engineering

  • •ETL/ELT pipelines
  • •Data warehousing
  • •Real-time streaming
  • •Data quality & governance
  • •Data lakes & lakehouses

ML & AI

  • •MLOps pipelines
  • •Model training & deployment
  • •LLM & RAG implementations
  • •Predictive analytics
  • •Computer vision & NLP

Analytics & BI

  • •Interactive dashboards
  • •Custom reporting
  • •Business intelligence
  • •Data visualization
  • •Self-service analytics

Pragmatic AI Approach

We focus on practical AI implementations that deliver measurable business value. No hype, just results.

Start Simple

Begin with rule-based systems, graduate to ML when needed

Measure Impact

Clear KPIs and ROI tracking for every AI initiative

Scale Gradually

Prove value with pilots before enterprise rollout

ML/AI Use Cases

Predictive Maintenance

Predict equipment failures before they happen

Techniques
Time series forecastingAnomaly detectionSurvival analysis
Business Value
Reduce downtime by 40%, cut maintenance costs by 25%

Customer Churn Prediction

Identify at-risk customers before they leave

Techniques
Classification modelsFeature engineeringEnsemble methods
Business Value
Improve retention by 15%, increase CLV by 20%

Recommendation Engines

Personalized product/content recommendations

Techniques
Collaborative filteringContent-based filteringHybrid models
Business Value
Increase conversion by 30%, boost AOV by 25%

Document Intelligence

Extract insights from unstructured documents

Techniques
OCRNLPNamed entity recognitionLLMs
Business Value
Automate 80% of document processing, save 100+ hours/week

Data Pipeline Architecture

Stage 1

Ingestion

Collect data from multiple sources

Tools: Fivetran, Airbyte, Kafka
Stage 2

Transformation

Clean, transform, and enrich data

Tools: dbt, Airflow, Spark
Stage 3

Storage

Scalable data warehousing

Tools: Snowflake, BigQuery, Redshift
Stage 4

Analysis

Business intelligence and visualization

Tools: Tableau, PowerBI, Looker

AI/ML Success Stories

E-Commerce Recommendation Engine

Challenge

Increase product discovery and conversion rates

Solution

Hybrid recommendation engine with collaborative filtering and LLM-powered search

Results
+35% conversion rate
+40% AOV
2M+ recommendations/day
< 100ms latency

Manufacturing Predictive Maintenance

Challenge

Reduce unplanned downtime and maintenance costs

Solution

Time series models with sensor data analysis and anomaly detection

Results
-45% downtime
-30% maintenance costs
95% prediction accuracy
₹16Cr annual savings

Frequently Asked Questions

Do I need a data scientist on staff to work with you?

No. We handle the entire ML lifecycle from problem formulation to production deployment. We work with your domain experts to understand business requirements and deliver turnkey solutions with comprehensive documentation.

How do you ensure AI models remain accurate over time?

We implement MLOps pipelines with automated model monitoring, drift detection, and retraining workflows. Models are continuously evaluated against production data, and we alert you when performance degrades below thresholds.

What is the typical timeline for an ML project?

Simple ML projects (classification, regression) take 6-8 weeks. Complex projects (NLP, computer vision, recommendation systems) take 3-6 months. We always start with a 2-week proof-of-concept to validate feasibility.

Can you help with data quality issues?

Yes. We implement data quality frameworks with automated validation, anomaly detection, and data profiling. We define data contracts, build data lineage, and create monitoring dashboards for ongoing data health.

How do you approach LLM projects responsibly?

We implement guardrails including prompt injection detection, content filtering, PII redaction, cost controls, and hallucination monitoring. We use RAG (Retrieval Augmented Generation) to ground responses in your data and reduce hallucinations.

Technologies We Use

PythonAirflowSparkSnowflakeBigQueryTensorFlowPyTorchOpenAILangChainTableauPowerBI

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