We're passionate about massive scale customer data platforms on cloud. That's why we've developed an strategic initiative that leverages the best of Cloud and Data Platform to benefit organisations captivating customer data analytics on cloud.
Modernize with ease
Migrating to the cloud can offer many business benefits compared to on-premises environments, from improved agility and scalability to cost efficiency. Migrating an on-premise environment could be a tedious activity. Migration for most of the organisations is typically a mix of lift & shift and refactoring jobs.
A right approach, nimble, flexible and efficient solution is a key to successful migration.
Cost optimisation
Cost overruns are very common in cloud environments. Leveraging right-size, just in time, correctly strategised cloud resources is one of the common way to tap the increasing cost.
Optimising the cloud service, appropriate resourcing, unraveling the cost leaks across services are also a few of the solutions to save cost.
Architect it like pro
Architecture nowadays are becoming more vital for helping companies implement successful strategies, navigate the complexities of cloud environments. Moreover, Architectures are expected to have a longer shelf life, hence efficient, future-proof architectures are very important.
A proficient architecture helps to cost effectively run the cloud system, accelerate transformation from technology, scale smoothly and all these without longer wait time.
Your Data Platform
Harness the true potential of cloud, data lake, lake house architectures. Creating data lakes is just a click away nowadays and we have choices of native, cloud-agnostic, open source and commercial options of every service on the cloud.
Employing right set of architecture principles, solution technology and best practices is key to yield business imperatives, value to investments in a quick time.
Artificial Intelligence and Data
We help you to establish right and efficient data foundations for your business. We solve Data challenges for clients to help them become a truly digital business. Our Data consulting services encompass AI based analytics, Big Data strategy, real time Big Data processing services, machine learning, data platform management, and analytics solutions.
We help you implement a comprehensive AI & data strategy and shine the spotlight on data analytics solutions.
Cloud
We provide end to end services tailored to support any stage of cloud based digital transformation for all major cloud providers. Empower your business solutions on Amazon, Microsoft, Google, IBM & Oracle. We have cloud first approach which aligns with customer’s timelines and budget. We use best practices and proven architecture blueprints to help customer business onboard on cloud platform.
We have been realising solutions with Individual, Multi and Hybrid cloud strategies.
Service⏺offerings
Artificial Intelligence & Data Services
We offer comprehensive data & AI based analytics services on all data lakes & lake houses.
Generative AI solutions
Architecture & Strategy
Modernisation
Data & ML
Grounding LLM
Data Governance
Storage and Processing
Data Pipeline
LLMOps
Business Intelligence
Service⏺offerings
Cloud Services
We offer end to end cloud services on your preferred cloud.
Strategy
Architecture
Modernisation
Native Analytics
Development
Infrastructure
Security
Operations
Cost optimisation
Edge
Built-in Tools to realise value asap
We offer full spectrum of cloud solutions to help you from Cloud Migration to harnessing Cloud for innovation.
Strategy
Lifting use cases to Cloud
AI augmentation of data
Cost Optimisation
Going Serverless
CDP
Hadoop to Native Data Lake
IaaC
Strategy
Lifting use cases to Cloud
AI & Ml use cases
Cost Optimisation
Going Serverless
Architect it like Pro
Hadoop to Native Data Lake
IaaC
customer solutions
European technology company manufacturing energy assets via AI, IoT and robotics
Solution
We designed and implemented a hybrid edge–cloud IoT data platform on Amazon Web Services, leveraging native AWS IoT, streaming, analytics, and ML services to enable low-latency edge inference and cloud-scale analytics.
Edge Layer
Edge devices run containerized workloads managed via AWS IoT Greengrass.
Stream & Batch Processing
Real-time transformations, windowed aggregations, and enrichment are performed using Amazon Kinesis Data Analytics (Apache Flink).
Machine Learning & AI
The full ML lifecycle—training, tuning, deployment, and monitoring—are managed using Amazon SageMaker.
Outcomes & Business Impact
- Enabled real-time analytics across large volumes of IoT audio and environmental data
- Accelerated adoption of AI and deep learning models for advanced signal processing
- Established a future-ready foundation for continued innovation in intelligent audio analytics
We modernized the customer’s data platform by implementing a cloud-native, event-driven IoT analytics architecture capable of processing billions of audio and environmental sound events per day with sub-5-second end-to-end latency.
Support for AI and deep learning pipelines allowed models to be trained and executed directly on streaming and persisted data, resulting in a 60% reduction in time to insight, 3× improvement in system scalability, and 35% reduction in operational costs, while providing a robust, extensible foundation for next-generation audio intelligence and advanced signal processing use cases.
