Arkesh Technology
Enterprise technology solutions, AI, cloud architecture, and global university admissions.
About Arkesh Technology
Arkesh Technology is a software and technology solutions provider based in Bengaluru Urban, Karnataka. The company delivers custom software development, artificial intelligence, cloud and DevOps solutions, hardware and IIoT systems, managed IT and AMC support, IT research and development, Ph.D. research support, journal publication support, EduTech and campus ERP, and plagiarism and AI score audits.
Services and products
- Custom Software Development
- AI & Machine Learning
- Cloud & DevOps Solutions
- Hardware & IIoT Systems
- Managed IT & AMC Support
- IT Research & Development
- Ph.D. Research Support
- Journal Publication Support
- EduTech & Campus ERP
- Plagiarism & AI Score Audit
- Global University Admissions
- Recognized Industry Internships
Business details
Frequently asked questions
What software development process does Arkesh Technology follow?
Arkesh Technology follows Agile Scrum methodologies with 2-week sprint cycles, beginning with sprint planning and daily standups, and concluding with sprint reviews and retrospectives.
Who owns the intellectual property and source code for projects built by Arkesh Technology?
You own 100% of the source code, intellectual property, architecture designs, and digital assets, with full repository ownership transferred directly upon milestone sign-offs.
How does Arkesh Technology ensure enterprise data privacy when deploying LLMs?
Arkesh Technology deploys models within your private cloud or on-premise infrastructure where proprietary data is never used to train public models, and all transmissions are encrypted.
What is the typical timeframe for a Proof-of-Concept or RAG pipeline with Arkesh Technology?
A typical Proof-of-Concept or RAG pipeline takes 2 to 4 weeks, while custom model fine-tuning and production deployment generally take 6 to 12 weeks.
How does Arkesh Technology ensure zero downtime during cloud migrations?
Arkesh Technology uses blue-green deployments, database replication syncs, and traffic-shifting canary releases to transition workloads seamlessly between servers.
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