We design scalable ML platforms, data pipelines, and secure cloud systems that power product-grade AI, analytics, and real-time services for enterprises.
Dhruva Technologies is an AI-first software and cloud engineering firm focused on turning data into actionable intelligence and secure digital products. We help enterprises accelerate adoption of machine learning, modernize infrastructure, and deliver real-time experiences while keeping cost and compliance in check.
To enable businesses with trustworthy AI and robust cloud platforms that scale — by combining strong engineering, secure architecture, and human-centered design.
End-to-end offerings from PoC to production, tailored for enterprises and SaaS products.
Custom model development, MLOps pipelines, generative AI integrations, embeddings & semantic search, LLM ops and safety controls.
Cloud migrations, cost optimization, infra-as-code, Kubernetes, serverless APIs and multi-cloud architectures (AWS/Azure/GCP).
Event-driven pipelines, lakehouse implementations, real-time streaming, data contracts, and BI solutions for reliable analytics.
Threat modeling, secure-by-design architecture, IAM, encryption, SOC readiness and policy automation for privacy-conscious deployments.
CI/CD, infra automation, observability, incident automation, and developer platform engineering to speed delivery.
Secure device onboarding, edge inference, telemetry pipelines, and low-latency systems for industrial and consumer IoT.
A pragmatic stack to build reliable production systems.
We design shared platforms (data, ML, infra) that reduce duplicated work and accelerate product teams.
Security is embedded into design — automated policy, encryption at rest/in transit, and auditability.
Selected outcomes demonstrating impact we delivered for customers.
Built a streaming pipeline and ML model to predict delivery delays — reduced SLA violations by 42% and optimized fleet allocation.
Deployed a retrieval-augmented generation workflow that handled 60% of routine tickets, improving response time and NPS.
Tell us about your project — we’ll propose a pragmatic roadmap for AI, data, and cloud adoption that balances speed and safety.