Interior designers often move between separate tools to visualise a concept, select products, prepare a bill of materials, estimate costs and present a proposal to a client. AgentB Studio aims to connect those steps through an AI-native platform built for the full interior design workflow.

In an interview with Indian Startup Times, Natasha Jain, founder of AgentB Studio, discusses the workflow gap that inspired the company, why AI in design needs to go beyond image generation, and how the platform’s conversational assistant, Bella, fits into its larger vision. With more than 7,000 designers using Agent B, the company sees an opportunity to reduce operational friction while keeping designers firmly in charge of creative and strategic decisions.

Rethinking a fragmented design workflow

The problem AgentB set out to solve was not a lack of design software, but the amount of time designers spend managing the process around design. Existing tools may work well for individual tasks such as rendering, modelling, moodboarding or presentations, but taking a project from an initial idea to a client-ready proposal and then into execution often involves switching between disconnected platforms. “We wanted to rethink that workflow from the ground up,” Jain says. Rather than adding AI to one existing step, the team asked what the entire interior design process might look like if AI were built into it from day one. That question became the foundation for Agent B.

Beyond the render: connecting design decisions

For Natasha, a generated image is only one part of a design project. Designers also need to decide which products to use, confirm dimensions, calculate costs, prepare a bill of materials and present options to clients. They must also manage revisions for example, when a client asks to replace a sofa or change a material. “The real opportunity with AI isn’t simply to generate more images. It is to connect all the decisions that sit behind those images,” she says. Agent B is being built to support the workflow from ideation and visualisation to product selection, bills of materials, quotations and presentations. The aim is to help designers move from intent towards execution without repeatedly switching between disconnected tools.

Designing for real-world constraints

A design that looks appealing on screen still needs to work within the practical constraints of a project. AgentB is being built around project context not just a text prompt including spatial requirements, dimensions, products, materials, catalogues and the designer’s intent. The company is also working towards a closer connection between visualisation and the products and specifications behind a design. Instead of treating the render as the final output, Agent B aims to connect the visual layer with the commercial and execution layers. “The question we ask isn’t, ‘Does this look good?’” Natasha says. “It’s, ‘Can a designer actually take this forward?’

Bella: a conversational design collaborator

Agent B’s conversational AI layer, Bella, is intended to make interactions with the platform more natural. Instead of navigating menus or deciding which tool to open next, designers can communicate their intent, iterate on ideas and progress through different stages of a project conversationally. Natasha describes Bella not as a separate product sitting on top of Agent B, but as part of the platform’s broader direction: an AI layer that understands the design context and helps move the project forward. The longer-term ambition is to build AI that does more than answer questions; it should understand the project, anticipate what needs to happen next and help carry it out.

What designers’ use of AI reveals

With more than 7,000 designers using AgentB, Natasha says one of the clearest signals is that designers are not looking to AI to replace creativity. They are using it to remove friction around creative work. The biggest impact so far is in tasks that traditionally consume substantial time: visualising ideas quickly, exploring multiple directions, iterating with clients and turning concepts into tangible proposals sooner. At the same time, usage points to an industry gap. Designers need AI to understand context, constraints and intent and carry that understanding through the rest of the workflow.

For AgentB, the next opportunity is to move from AI as a generation tool to AI as a workflow partner.

The designer stays at the centre

Natasha does not see an AI-native workflow as one in which designers disappear. She believes the designer becomes more important as AI reduces operational friction and gives them more room to think, create and make decisions. In the workflow she envisions, a project could begin with an idea, a conversation, a floor plan or a reference image. The system would interpret the intent, help visualise and refine the design, support product and material selection, prepare documentation and quantities, generate quotations and help move the project towards execution. The designer remains the creative and strategic decision-maker. AI becomes the operating layer connecting the work around them.

From design tool to operating system

Agent B’s long-term ambition is to evolve from an AI design tool into an AI-native operating system for the entire interior design workflow. By connecting ideation, visualisation, products, documentation and execution, the company hopes to shorten the distance between an initial idea and a finished project.

For Natasha Jain and the AgentB Studio team, the goal is not to automate creativity. It is to give designers more time and a more connected set of tools to bring their ideas to life.

Interview By: Sejal Thakur