Our Services

We offer development and implementation services in the niche technologies like Artificial Intelligence & Machine Learning Engineering, Cloud Engineering & Data Engineering

Connect With Arocom

OUR PEOPLE. YOUR PROGRESS

Our people are our strength, at the center of everything we do.
Working side-by-side with customers, they uncover root causes and co-create new, more intelligent solutions.

20+

Consultants

35+

Projects

AI & Machine Learning Engineering

Leverage the power of AI to accelerate business outcomes. Embed AI technology components and AI-generated insights into your business decisions and processes. Whether you want to personalize delightful customer experiences at scale or you want to embed AI into every IT process and drive speed and efficiency, our solutions can unlock a new level growth for you.
We manage end-to-end AI development services both for business operations and IT management.
Our solutions accelerate AI discovery and pilot development providing your teams the confidence to innovate leveraging pre-built assets, AutoML, transfer learning, MLOps, synthetic data generation – we can minimize time-to-market and maximize business value.
We approach each project specifically because we know every business is unique. Our team has the skills to support you in achieving your objectives, whether you want to enhance your data strategy, create a unique AI & machine learning model, or use predictive analytics.

We are experienced in areas including but not limited to:
  • Neural Networks
  • Generative AI
  • Natural Language Processing
  • Reinforcement Learning
  • Predictive Models
  • Computer Vision and Image Analysis
  • Multi-Modal Data Models (Audio & Video)
  • MLOps
  • and more ...
Summary of case studies of our solutions for various business domains is available on our Case Studies page.
Get a 30-minute, no-cost strategy session with a AI & ML services expert.
Learn how to enable business insights at scale with the right data foundation, modernization and platform management.

Data Engineering & Analytics

Data engineering is the practice of designing and building systems for data collection, storage, and analysis. This is an extensive field of application in almost all industries. It includes gathering business insights at scale with a robust data foundation, modernization, and platform management. Our global expertise, combined with the latest know-how from technology partners and hyper-scalers, makes your business ready for better data management and implementing latest technology like Artificial Intelligence.
We combine reliable, modular, scalable solutions with your existing data architecture to jumpstart your data modernization journey that helps you accelerate data preparation with automated workflows and modern data fabric.
Our data engineers are familiar with a variety of programming languages used in data science. They build data pipelines that connect data from one system to another.
They are also in charge of transforming data from one format to another, allowing the data scientist to obtain information from other systems for analysis. As part of data engineering we execute and manage activities like:

  • Ingest: Create and Manage Data Warehouses and Data Lakes. Connect siloed data sources faster with our proven frameworks
  • Automate: Create data pipelines with automated ingestion and data processing from diverse sources.
  • Streamline: Efficiently process data for real-time reporting and insights.
  • Migrate: Migrate to the right cloud infrastructure at optimal cost.
  • Optimize: Improve query performance and enhance scalability.
  • Govern: Create and Implement Data Governance Strategies. Get robust data lineage, security and compliance.

Summary of case studies of our solutions for various business domains is available on our Case Studies page.
Get a 30-minute, no-cost strategy session with a Data services expert. Learn about how to enable business insights at scale with the right data foundation, modernization and platform management.

Cloud Engineering

Cloud has emerged as an enabler of transformation, however there are still significant barriers to cloud expansion and many enterprises are struggling to prove transformation value or to tie IT value to business outcomes.
Arocom Cloud Ops & DevOps Services provide the right expertise in identifying and solving challenges and driving transformation forward.
We are experienced in providng cloud services on platforms:

Including but not limited to services like:

  1. AWS: S3, FSX for Lustre, EFS, Glacier, AWS Batch, EC2, EKS, Lambda, AutoScaling, Athena, DynamoDb, Redshift , APIs, VPNs, Subnets, CloudFormation, Sagemaker, Sagemaker Studio, LEX, Rekognition and more...
  2. Google Cloud: CloudStorage , Data Transfer, ComputeEngine, Kubernetes, DataFusion, DataFlow, Cloud Function, Bigquery, Data Studio, DataProc, BQML, BigTable, CloudVision, SpeechAPI, Genomics and more...
  3. Azure: Storage Table, Storage Blob, Document DB, Batch, Virtual Machine, Data Factory and more...
Our consultants also carry experience with other tools like:

Company has been assisting various businesses for more than 5 years, making sure everyone gets a solution aligned with their needs and goals.
Arocom team is ready to help you design, implement, and maintain systems with automated deployments, backup and restoration, load balancing, auto-scaling groups, logging, and monitoring of the cloud-based infrastructure.
Arocom complies with international standards and regulations, including ISO 27001, GDPR, PCI DSS, and others.

We believe that every business deserves to have access to the technical capability to introduce great ideas, products, and services to the whole world. The goal of Arocom is to ensure that everyone gets an opportunity to leverage their strong sides and get assistance with enhancing their workflows, operations, and systems.

Summary of case studies of our solutions for various business domains is available on our Case Studies page.
Get a 30-minute, no-cost strategy session with a Data and AI services expert. Get started by talking to our experts about how to enable business insights at scale with the right data foundation, modernization and platform management.

Frequently asked questions

Can I onboard developers under Machine Learning and AI services as per my requirements?

Will I have control over such hired resources taken from an AI & ML solutions company?

Will there be any documentation of the complete ownership of the developed AI & ML solution?

Can I share resources between features?

How to prepare for AI implementation?

What is MLOps?

Why choose Arocom for ML Engineering implementation?

Have more questions?