Solutions
Tailored technology stacks for your business needs
Startup Stack
Launch fast, scale later
A lean, cost-effective stack for startups that need to move quickly without sacrificing future scalability.
Includes:
- Cloud infrastructure on AWS/GCP (pay-as-you-go)
- PostgreSQL database with connection pooling
- CI/CD pipeline with GitHub Actions
- Basic monitoring and alerting
- Docker-based deployment
Ideal for:
Early-stage startups, MVPs, proof of concepts
Data Platform
Turn data into decisions
A complete data platform for organizations that need to collect, process, and analyze data at scale.
Includes:
- Data warehouse (Snowflake/BigQuery/Redshift)
- ETL/ELT pipelines with dbt
- Real-time streaming with Kafka
- BI dashboards (Metabase/Superset)
- Data quality monitoring
- Data catalog and governance
Ideal for:
Data-driven companies, analytics teams, business intelligence
AI-Ready Stack
Intelligence built-in
Infrastructure optimized for AI/ML workloads, from training to production deployment.
Includes:
- GPU compute infrastructure
- Vector database (pgvector/Pinecone)
- LLM integration (Ollama/OpenAI)
- MLOps pipeline (MLflow/Kubeflow)
- Model serving and monitoring
- RAG system architecture
Ideal for:
AI startups, ML teams, companies integrating AI into products
Enterprise Platform
Scale with confidence
Enterprise-grade infrastructure with high availability, security, and compliance built-in.
Includes:
- Multi-region Kubernetes deployment
- Service mesh (Istio/Linkerd)
- Comprehensive observability stack
- Security automation and compliance
- Disaster recovery and backup
- Cost management and optimization
Ideal for:
Large organizations, regulated industries, high-traffic applications
Not Sure Which Solution Fits?
Let's discuss your requirements and design a custom solution.
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