Explore our comprehensive technology stack, featuring cutting-edge tools and frameworks that power our solutions.
open source frameworks across machine learning
Framework for developing applications powered by language models
Open-source library for advanced NLP
Open-source vector search engine and vector DB.
Facebook AI Similarity Search for efficient similarity search and clustering of dense vectors.
Open-source embedding database designed for AI applications.
Full-stack observability platform for monitoring, troubleshooting, and optimizing entire software stack
Monitoring and analytics platform for cloud-scale applications.
Elasticsearch, Logstash, and Kibana stack for log management and analytics.
Platform for searching, monitoring, and analyzing machine-generated data.
Enterprise visual analytics platform for business intelligence
Microsoft's comprehensive business analytics service
Modern platform for data exploration and embedded analytics
Open-source platform for metrics visualization and monitoring
Fully managed ETL service for data preparation and transformation
Automated data integration.
Data ingestion and ETL tool for automated data flow between systems
Distributed streaming data pipeline framework for Apache Kafka
Efficient bulk data transfer tool between Hadoop and structured datastores
Digital operations management platform for incident response.
Modern incident management platform for operating always-on services.
Real-time messaging and notifications integration through Slack.
Modern data transformation tool for analytics engineering
Data warehouse software for reading, writing, and managing large datasets
Unified platform for data integration, quality, and governance
Platform to programmatically author, schedule, and monitor data pipelines
Modern workflow orchestration framework with dynamic DAGs
Data orchestrator with built-in testing and observability
Python-based workflow management and task orchestration
Unified analytics engine for large-scale data processing
Parallel computing library that scales Python code.
Data manipulation and analysis library
Stream processing framework with batch capabilities
Unified programming model for batch and streaming data processing
Fully managed service for executing Apache Beam pipelines