India’s AI story is moving in two directions at once. One is inside companies, where AI is being used to help experts handle more work. The other is inside research labs, where AI could help scientists study complex questions and plan experiments.

These two ideas are at the centre of recent announcements from Neuraluna and NovAtom Labs, a student-led startup created by BITS Pilani Hyderabad students. Their products serve different users, but both are based on the same promise – AI should help people do better work, not blindly replace them.

Neuraluna expands its enterprise AI presence

As per BS, Seattle-headquartered Neuraluna has announced an expanded presence in India as part of its global enterprise AI strategy. The company was founded in December 2024 by Dinesh Chahlia and Phani Solomou.

Neuraluna is aimed at expert-led businesses such as consulting firms, legal practices, healthcare advisers and professional-services teams. Its platform lets organizations build AI agents around their own knowledge, methods and documents without requiring employees to write code.

For example, a consulting firm could create an internal AI assistant that follows its project-planning method, uses approved templates and helps teams prepare first drafts. A law firm could use a similar setup to help lawyers find relevant past work more quickly.

The company says every client engagement can be kept in a separate workspace. This matters because professional firms often work with confidential information from multiple clients. Neuraluna also uses models from several AI providers rather than tying users to one model family.

The opportunity is clear, but businesses should still check data location, permissions and compliance requirements before uploading sensitive information. Neuraluna’s privacy policy states that its servers are located in the United States, a point Indian companies should consider when handling regulated or confidential data.

BITS Pilani students build Research Copilot

At BITS Pilani Hyderabad, students Arnav Kulshreshtha and Sattwik Das have built Research Copilot through their student-led deep-tech startup, NovAtom Labs.

As per DC, the platform is designed to assist scientists through several parts of research – understanding a problem, reviewing existing papers, identifying useful variables, planning experiments and learning from results.

This is more than a chatbot that summarizes an article. The aim is to help researchers connect ideas across a large body of scientific literature and decide what to investigate next.

For instance, a materials-science researcher studying a new battery material may have to compare hundreds of papers, test different chemical combinations and track several experimental conditions. A research assistant like this could help organize findings, identify gaps and suggest questions worth examining. The final scientific judgement, however, must remain with researchers.

According to reports, the platform has been evaluated by researchers connected with ETH Zurich, Georgia Institute of Technology and the University of Toronto. NovAtom Labs has also demonstrated it at the Semiconductor Laboratory in Mohali.

How these AI tools could affect us

Neuraluna could help Indian expert firms serve more clients without forcing professionals to start from scratch on every assignment. That may make specialized knowledge easier to access for smaller businesses.

Research Copilot could save time in laboratories by reducing repetitive reading and helping researchers organize complex information. In areas such as semiconductors, biotechnology, energy and advanced manufacturing, faster research cycles could eventually lead to better products and stronger local innovation.

However, both tools have limits. Enterprise AI can produce incorrect answers or expose confidential information if poorly managed. Research AI can identify patterns, but it cannot replace peer review, experiments, safety checks or scientific ethics.

Competition and the road ahead

Neuraluna enters a market that includes Microsoft Copilot, Google Gemini for Workspace and several specialist enterprise AI platforms. Its focus on isolated client workspaces and reusable expert knowledge is its main differentiator.

Research Copilot faces competition from academic AI tools such as SciSpace, Elicit and Perplexity. Its strength will depend on whether it can offer reliable scientific reasoning, useful citations and practical support for real experiments.

Artificial intelligence is moving beyond simple question-and-answer tools. A chatbot gives a reply when a user types a question, but an AI agent can understand a goal, plan several steps and use approved tools to complete the task.

For example, instead of only explaining how to compare flight tickets, an AI agent may search available options, organize them by price and timing, and prepare a shortlist. It may still ask for approval before making a payment or final booking.

What is an AI agent

An AI agent is software that uses an AI model to complete a task or reach a specific outcome. It can combine reasoning, memory, web access, documents, databases and external tools.

A normal chatbot may answer, “Here are some budget smartphones.” An AI agent can search selected websites, compare specifications, create a table and prepare a buying guide based on a user’s budget.

The important difference is action. An AI agent does not only generate text. It can sometimes search, calculate, organize, update records, fill forms or trigger another software system.

Main features of an AI agent

AI agents usually include several important capabilities.

A. Goal understanding

The user provides an outcome, such as “prepare a weekly sales report,” rather than explaining every small step.

B. Planning

The agent breaks the request into smaller tasks. It may collect data, check for missing information and decide the order of work.

C. Tool use

Agents can work with browsers, spreadsheets, calendars, business databases, APIs and other software when access is provided.

D. Memory and context

An agent can use information from the current conversation, connected documents or approved company data.

E. Multi-step work

It can continue through several actions instead of stopping after one response.

F. Human approval

Good agents pause before sensitive actions such as sending an email, making a purchase, deleting information or submitting a form.

These capabilities are not unlimited. An agent can make mistakes, misunderstand instructions or use outdated information. Users should review important results before acting on them.

Popular AI agents and platforms

1. ChatGPT agent capabilities

OpenAI’s agent tools are designed to handle tasks such as online research, working with uploaded files, using connected sources and editing spreadsheets. Browser-based actions can include opening websites, entering information and completing supported workflows, with confirmation required for sensitive steps.

This can help a public user compare products, organize travel research, summarize documents or prepare a project plan.

2. Google Gemini Enterprise agents

Google offers business-focused agents through Gemini Enterprise. Its Deep Research agent can search across the web and approved enterprise data before producing a report. Organizations can also create custom agents using no-code tools, Agent Studio or the Agent Development Kit.

A company could use one agent to answer employee questions and another to analyze spreadsheets or retrieve information from internal documents.

3. Microsoft Copilot agents

Microsoft Copilot agents are designed to work with applications and business data across tools such as Teams, Outlook, Word and Excel. They can retrieve information, summarize content and take actions such as updating records or managing leads when permissions are configured.

4. Claude computer-use tools

Anthropic’s computer-use technology allows Claude-based systems to interact with a computer interface by observing screens, clicking and typing. This is mainly useful for developers and organisations building controlled automation workflows.

5. Meta AI

Meta AI is available across WhatsApp, Instagram, Facebook, Messenger, the Meta AI app and selected smart glasses. People can use it for questions, image creation, recommendations, translation and everyday planning.

Meta has also introduced more action-oriented features. Depending on availability, Meta AI can create recurring tasks such as weekly meal plans, track topics and provide updates. Its support assistant can help users manage settings, reset passwords, report scams and handle selected account issues.

For the public, Meta AI can be useful for planning a trip, creating shopping ideas, understanding a photo, preparing a message or getting help with Facebook and Instagram settings. Availability and capabilities may vary by country.

6. xAI Grok agents

Grok is xAI’s AI assistant, available through Grok and X in supported regions. The latest Grok models offer reasoning, tool use and multi-agent capabilities. In simple terms, Grok can divide a complex request into smaller parts, use tools and combine the results.

xAI’s documentation also describes Grok’s ability to work with tools and project workspaces for coding tasks. It can read tool outputs, make changes and continue working through a task instead of only producing a single answer.

People may use Grok for research, current-topic discussions, coding help, document analysis, idea generation and summaries. Users should still check information carefully, especially when dealing with news, finance, health or personal decisions.

These additions fit the wider definition of an AI agent because both platforms are moving beyond simple conversation. They can use context, follow multi-step instructions and, in some cases, complete recurring tasks or interact with connected tools. Availability, permissions and safety limits remain important.

How the public can use AI agents

People may use AI agents for:

• Comparing phones, laptops, cars or insurance plans
• Planning trips and creating day-by-day itineraries
• Sorting emails and preparing replies
• Creating budgets from bills and bank statements
• Summarizing long reports or legal documents
• Preparing study plans and practice questions
• Tracking deliveries and checking appointment availability
• Turning notes into presentations or spreadsheets
• Monitoring prices and creating purchase shortlists
• Supporting small-business invoices and customer follow-ups

The safest approach is to give an agent limited access, clear instructions and approval checkpoints. Avoid sharing passwords, one-time codes or sensitive financial information unless the service provides a secure and trusted method.

Gen AI vs Agentic AI

Conclusion with key takeaways –

An AI agent is an AI-powered helper that can plan and perform tasks using approved tools. Its main difference from a chatbot is the ability to take actions across multiple steps.

AI agents can save time in research, office work, study, shopping and personal planning. They are most useful when the task is repetitive or involves information from several places.

However, they should not be treated as completely independent decision-makers. Users should check sources, review important actions and keep control over financial, legal, medical and personal decisions.

Disclaimer

AI agent features and availability vary by platform, plan and region. Users should review permissions and verify important outputs before relying on them.

AI vs Gen AI vs AGI