Nasuni Logo of purple N on a white square background.

Nasuni

Hyderabad
550 Total Employees
Year Founded: 2009

Nasuni Innovation & Technology Culture

Nasuni Employee Perspectives

What is the unique story that you feel your company has with AI? If you were writing about it, what would the title of your blog be?

Nasuni specializes in providing hybrid cloud file storage management, offering solutions that replace traditional file servers and network-attached storage with a cloud-native approach.

Our core value proposition revolves around modernizing file infrastructure. Nasuni can leverage AI to transform unstructured data management and analysis. Cloud-stored files represent vast repositories of potential business intelligence that AI can help unlock.

If I were to write a blog the title would be: “From Storage to Intelligence: How Nasuni is Transforming Enterprise Data with AI.” The blog would explore how Nasuni is evolving beyond just providing hybrid cloud features files to helping enterprises derive actionable insights from their unstructured data using AI.

 

What are you most excited about in the field of AI right now?

Personally, I’m most excited about agentic architectures in the enterprise right now. I feel that this will be the catalyst for a fundamental shift in how AI operates within business environments and how organizations embrace AI.

AI agents are evolving beyond simple task automation to becoming capable of executing complex, multi-step workflows across organizational systems. These agents can now interface with databases, knowledge repositories, tools and actually, other agents to solve problems that would previously require a lot of human coordination.

Early enterprise AI systems often operated as black boxes, but today’s agentic frameworks provide auditability, controllable autonomy and clear reasoning chains, all of which are needed to build organizational trust in these types of autonomous AI frameworks.

I believe we’re rapidly approaching a tipping point where these types of agentic AI systems will dramatically change and reshape enterprise workflows, moving from isolated point solutions to interconnected, reasoning AI systems that will be able to handle increasingly complex enterprise processes, while still being able to factor in human oversight (human-in-the-loop).

Jim Liddle
Jim Liddle, Chief Innovation Officer

Nasuni's Tech Stack

Angular.js
Angular.js
FRAMEWORKS
AWS (Amazon Web Services)
AWS (Amazon Web Services)
SERVICES
AWS Redshift
AWS Redshift
DATABASES
C++
C++
LANGUAGES
Django
Django
FRAMEWORKS
Docker
Docker
FRAMEWORKS
DynamoDB
DynamoDB
DATABASES
Elasticsearch
Elasticsearch
DATABASES
GitHub
GitHub
SERVICES
GitLab
GitLab
SERVICES
Google Cloud
Google Cloud
SERVICES
Hadoop
Hadoop
FRAMEWORKS
jQuery
jQuery
LIBRARIES
jQuery UI
jQuery UI
LIBRARIES
Kubernetes
Kubernetes
FRAMEWORKS
Microsoft Azure
Microsoft Azure
SERVICES
Node.js
Node.js
FRAMEWORKS
NoSQL
NoSQL
DATABASES
Objective-C
Objective-C
LANGUAGES
Pandas
Pandas
LIBRARIES
PostgreSQL
PostgreSQL
DATABASES
Python
Python
LANGUAGES
Ruby on Rails
Ruby on Rails
FRAMEWORKS
RxJS
RxJS
LIBRARIES
Terraform
Terraform
FRAMEWORKS
Linux
Linux
LANGUAGES
OpenSource
OpenSource
LANGUAGES
Airtable
Airtable
PROJECT MANAGEMENT
Asana
Asana
PROJECT MANAGEMENT
Confluence
Confluence
PROJECT MANAGEMENT
JIRA
JIRA
PROJECT MANAGEMENT
Tableau
Tableau
ANALYTICS
Chorus.AI
Chorus.AI
CRM
HubSpot
HubSpot
CRM
LinkedIn SalesNavigator
LinkedIn SalesNavigator
CRM
Outreach
Outreach
CRM
Salesforce
Salesforce
CRM
HubSpot
HubSpot
EMAIL
Demandbase
Demandbase
LEAD GEN
Asana
Asana
PROJECT MANAGEMENT
Slack
Slack
COLLABORATION
Zoom
Zoom
COLLABORATION