Indian AI firm Vaia takes managed services model to US financial institutions

The Bengaluru-born company is allocating 22 percent of its funds to US hiring and expansion as it looks to combine AI, data, workflows and execution under a single managed services relationship.

Bengaluru-born AI company Vaia is expanding into the US with a managed services model aimed at banks, investment firms, wealth managers and family offices, as financial institutions move from experimenting with AI tools towards deploying them across investment, data, reporting and operational workflows.

The company is building an in-house US team across technology, product, domain and go-to-market functions, with 22 percent of its funds allocated towards US hiring and expansion.

Rather than selling its technology into the US remotely from India, Vaia says it is building a local operation alongside the financial institutions it wants to serve.

For financial institutions, Vaia says this could reduce the need to work separately with AI vendors, implementation partners, data teams and workflow consultants.

The company is targeting areas including investment research, due diligence, financial modelling, portfolio intelligence, wealth advisory, reporting, compliance, sustainability and enterprise knowledge.

Vaia's proposition is to design, build, integrate, deploy and continue managing the technology around each institution's requirements.

From AI product to managed services partner

The shift towards managed services is central to Vaia's US strategy. According to the company, it has built proprietary financial and sustainability large language models, agentic AI systems and managed technology solutions for institutional use cases. Vaia’s platform includes OlafAI, its AI agent, alongside proprietary financial and sustainability models and enterprise integrations.

The technology helps connect information spread across documents, spreadsheets, CRMs, data rooms and internal systems and turn it into intelligence that can be used across teams.

For the channel and services ecosystem, the model reflects a change in how financial institutions are approaching AI. The requirement is no longer limited to procuring an AI tool. Institutions need technology that can work with existing data, applications and workflows and continue to operate within their business environment.

Vaia wants to occupy that operational layer. Its stated proposition is to become one partner across AI, data, workflows and execution rather than leave the customer to assemble those capabilities across multiple providers.

That approach also makes domain knowledge an important part of the company's expansion. Vaia says its US hires will include people who understand how American financial institutions evaluate, adopt and operate technology.

“Our ambition is to bring together the best of both ecosystems and create a truly global financial AI company,” says Shruthi Cauvery, Founder, Vaia.

Cauvery says the US expansion is not simply about taking an Indian product into a new market. The company intends to build local technology, product and commercial capabilities and develop alongside its US clients.

Local team becomes part of the product strategy

Vaia's US investment extends beyond sales. The company says the local operation will become an important centre for customer learning, product development and financial services expertise. Its US strategy will focus on direct engagement with senior decision makers, supported by a team embedded in the market.

That gives the expansion two objectives. The first is to win customers in one of the world's largest financial services markets. The second is to use those customer engagements to shape the technology and domain capabilities Vaia develops as it grows.

The company says demand for AI in financial institutions is increasingly moving towards systems that can operate across real investment, data, reporting and operational workflows.

That creates a more complex implementation environment than standalone AI applications, particularly where financial institutions need to connect proprietary data and existing enterprise systems.

Vaia's managed services model is designed around that complexity. The company says it can take responsibility across the lifecycle, from designing and building the technology to integration, deployment and ongoing management.

Financial AI becomes the focus

Vaia's technology portfolio includes proprietary financial and sustainability LLMs alongside its agentic AI capabilities.

The company's financial use cases span investment research, due diligence, financial modelling and portfolio intelligence, while its broader capabilities extend into wealth advisory, compliance, sustainability, reporting and enterprise knowledge.

The platform is designed to work across fragmented information sources within financial institutions.

That includes documents and spreadsheets as well as CRMs, data rooms and internal systems, with the objective of making that information accessible as intelligence across different teams.

The company argues that this is where the next phase of enterprise AI adoption is moving: away from isolated tools and towards systems that understand an institution's data, workflows and operating context.

For Vaia, the US expansion is an attempt to build around that requirement from within the market rather than from outside it.

Vaia's broader technology ecosystem includes NVIDIA Connect, the AWS partner ecosystem, the Anthropic Partner Network, Cloudflare for Startups, the Sarvam AI Startup Program and subsidised AI compute through the IndiaAI Mission.

The company says its expansion comes as it enters its next stage of growth, with an internal valuation approaching high double-digits, which it attributes to investor interest and market sentiment around vertical LLM companies focused on specific industry segments.

The US will now become a key market in that growth strategy.

For Vaia, the objective is not simply to add another geography to its operations. It is to build a local financial AI business that combines technology, domain expertise and managed services around the requirements of financial institutions.