AI & Data
From notebook to production. AI that actually ships.
Production data platforms, ML pipelines, LLM integration, and real-time systems. We build the data infrastructure and AI systems that turn ambition into measurable outcomes.
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Model deployment velocity
10×
Data throughput
<100ms
Inference latency
99.9%
Pipeline uptime
Data Platform Engineering
Design and build production-grade data platforms — data lakes, warehouses, streaming pipelines, and governance frameworks that scale with your business.
Use Cases
- Data lake and warehouse architecture
- Real-time streaming pipelines
- Data quality and governance
- Master data management
Tech Stack
SnowflakeDatabricksApache KafkadbtAirflow
Business Outcomes
- 10× faster query performance
- Single source of truth
- Automated data quality
ML Pipeline Architecture
Design and build MLOps pipelines from training to production deployment. Reproducible experiments, automated training, and production-grade model serving.
Use Cases
- Models stuck in notebooks
- No reproducibility across experiments
- Deployment bottlenecks and manual processes
- Model monitoring and drift detection
Tech Stack
MLflowKubeflowSageMakerVertex AIDVC
Business Outcomes
- 5× model deployment velocity
- Reproducible experiments
- Production-grade ML
AI System Design & Deployment
End-to-end AI system design — from problem framing to production monitoring. We ensure your AI investments deliver real business value, not just experiments.
Use Cases
- AI ambition without execution capability
- Pilot-to-production gap
- Unclear AI ROI
- Production monitoring and alerting
Tech Stack
PyTorchTensorFlowLangChainLlamaIndexRay
Business Outcomes
- Measurable AI ROI
- Production-grade systems
- Continuous improvement
Ready to get started?
Let's discuss how our data engineering & ai systems services can deliver results for your business.
Book a Consultation