// data_and_ai
Data is the asset.
Data is the asset.
AI is the edge.
Full-stack capabilities from data pipelines to production GenAI. We don't just build models — we build the entire data infrastructure that makes AI work at enterprise scale.
catalyst_pipeline.py
from catalyst import Pipeline, DomainLLM
# Your data → Our models → Your ROI
pipeline = Pipeline(
source="enterprise_docs",
extract=AgenticRAG(
model=DomainLLM("finance"),
accuracy=0.95,
),
vision=YOLOv8("quality-inspect"),
deploy="production",
)
result = await pipeline.run()
# → 4-6 weeks from concept to production
print(f"ROI: ${result.savings:,.0f}/year")Data Engineering
The foundation everything else depends on
BI & Data Warehousing
ETL & Data Pipelines
Data Quality & Governance
Self-Service Analytics
Data Lake Architecture
AI & Machine Learning
From classical ML to cutting-edge GenAI
GenAI & LLM Solutions
Custom Domain Models
Classical ML Models
Rapid Prototyping (MVP)
Model Monitoring & Ops
// ai_lifecycle
Consult. Build. Run. Innovate.
We cover the entire AI lifecycle — from strategy to production operations to cutting-edge research.
Consult
AI Strategy & Roadmap
Use Case Assessment
Governance Frameworks
Build
Classical ML Models
GenAI Applications
End-to-End Implementation
Run
SLA-driven L0-L3
Model Monitoring
Performance Optimization
Innovate
Emerging Tech Research
Proof of Tech (POT)
Custom Accelerators
// ai_ml_arsenal
AI/ML Technology Arsenal
Models & Frameworks
PythonPyTorchKerasTensorFlowscikit-learnXGBoost
LLMs & GenAI
OpenAIClaudeAWS BedrockVertexMistral
Orchestration
LangChainDSPyAgent SquadCrewAIMLflowWeights & Biases
Data Engineering
SparkAirflowdbtKafkaSnowflakeDatabricks
Vector & Search
PineconeWeaviateChromaDBElasticsearch
Infrastructure
NVIDIA GPUsAWS SageMakerVertex AIAzure MLKubernetes