The BFSI (Banking, Financial Services, and Insurance) sector operates in one of the most data intensive industries, where slow decision making is a competitive disadvantage. Despite enterprise data efforts, many BFSI firms remain tethered to traditional intelligence tools for business and market intelligence. To compound the issue, less than 2% of BFSI employees specialise in data and insights, highlighting an urgent need for modern intelligence solutions.
Agentic and analytical AI are poised to change this landscape. Amit Shanker, the founder of Bloom AI, identified the need for proactive, synthesised intelligence early on. “We observed that clients were spending most of their time searching for data and information in dashboards and reports”, says Shanker. “There was a strong need for automated intelligence, but companies lacked the tools.”
This realisation led to the founding of Bloom AI in 2021. Backed by two decades of research & analytics experience for global financial institutions, Amit set out to transform how BFSI firms approach intelligence. “Our goal is simple – build agentic and analytical AI technology to bring intelligence to every decision maker’s fingertip.” Backing this trend, Gartner recently claimed that by 2026, 80% of banks will adopt GenAI, up from current levels of 5%.
A Suite for Actionable Intelligence
Bloom AI is building a suite of foundational data platforms and agentic tools to modernize business and market intelligence at BFSI firms. Their approach focuses on deep collaboration, embedding teams within client organizations to fully understand challenges and drive innovation based on emerging use cases. “Deep customization and client engagement are our key differentiators,” notes Amit.
One of their flagship offerings, SynthBI, integrates fragmented data to provide AI-powered analytical summaries appropriate for each user’s work context. Bloom AI’s research indicates that 80% of company data remains unused for decision-making due to system complexity. SynthBI condenses intelligence from multiple dashboards into concise, scrollable emails, making relevant insights accessible to over 80% of the teams, while reducing BI costs by up to 40%.
Another key offering, DYSTL, leverages generative AI to transform unstructured data from multiple sources into automated, targeted market and company intelligence. Leveraged by corporate strategy, investor relations, marketing, research, and sales teams, DYSTL scales competitive and market intelligence beyond human limits. For one insurance client, DYSTL expanded competitive tracking by 5x while cutting costs and effort by 80%.
Bloom AI also provides bespoke, subscription-based generative AI agents designed for task automation and decision support. For example, MARCO, their marketing AI agent, assists content writers with proof-reading, SEO optimization, social media, etc. while DataScout, their AI investment agent, helps private investment teams automate deal sourcing and the due diligence processes.
The Impact So Far
Bloom AI has been working with global investment management, insurance and financial firms with some notable milestones. In 2024, SynthBI delivered automated intelligence to the entire sales and marketing team of a global asset manager, covering nearly 14% of the company’s workforce. Another success story involves DYSTL automating account intelligence on 200+ companies, delivering insights on earnings, news, and leadership for a global tech services firm.
“We realised that data actualisation is not only a data science problem but also a behavioural science problem” Shanker said in the company’s blog. By creating a smart delivery layer for personalized, automated intelligence, Bloom AI is pioneering a future where CEOs and decision-makers have actionable insights at their fingertips every day.
Bloom AI’s impact extends beyond financial institutions. Recently, an Ivy League institution selected Bloom AI to develop a futuristic AI-powered content engagement platform.
What’s Next
Over the past 30 years, India has established itself as a global leader in IT, BPO, and KPO services. AI services are now emerging as the next big wave, and India is positioned to play a pivotal role in this evolution.
Aligning to the trend, Bloom AI is adding new clients in the U.S., while also expanding its footprint in India, targeting emerging use cases with Global Capability Centres (GCCs). Traditionally concentrated on finance operations and software engineering, GCCs are now exploring AI-first applications in marketing, sales, and customer excellence —areas well-suited to Bloom AI’s expertise. “We see GCCs as ideal locations to build AI-first centers of excellence for analytical and knowledge functions” Shanker noted.
As industry moves forward, Bloom AI is optimistic about the transformative potential of generative AI. While many firms are still in the early stages of leveraging AI to boost productivity, Bloom AI anticipates 2025 to be the tipping point for enterprise-scale transformative use cases.
