Finster AI raises $15m to transform financial intelligence
October 21, 2025 - Finster AI, an AI-native platform for investment banks and asset managers, has raised a total of $15m across its Seed and Series A rounds. The company will use the capital to scale in New York, expand hiring, and build new data and technology partnerships across the financial ecosystem.
Funding at a glance
- Series A led by FinTech Collective.
- Seed led by Peak XV, with continued participation from Hoxton Ventures.
- Focus: team growth, technical depth, and integrations with tier 1 institutions.
What Finster AI does
Founded in 2023 by former Google DeepMind researcher Sid Jayakumar, Finster AI is built to mirror how finance actually operates. The platform adapts to roles and workflows across front-office teams-drafting investment memos, running research, and preparing client materials.
The emphasis is on precise, secure, and verifiable outputs. That means controls for accuracy, confidentiality, and governance-table stakes for regulated firms.
Why this matters for banks and asset managers
- Moves teams from reactive tasks to proactive, insight-led decisions.
- Integrates into front-office operations with strict regulatory and information controls.
- Supports auditability and permissioning across sensitive workflows.
What's next for Finster
The company plans to deepen enterprise features, expand partnerships with top-tier banks and asset managers, and accelerate hiring in New York. Expect more data connectivity, stronger verification, and closer alignment with existing compliance processes.
What they're saying
Sid Jayakumar, founder and CEO: "Finance has unique demands and AI is a critical tool for staying ahead of the market. We designed Finster as a secure, scalable, and verifiable platform that doesn't just support workflows; it anticipates them. Our mission is to help financial professionals move from reactive tasks to proactive, insight-driven decision-making at industry scale."
Hussein Kanji, Hoxton Ventures: "More than four decades ago, the Bloomberg Terminal brought speed of information and transparency to the financial markets. We believe Finster AI is at the forefront of a new transformation through its investment banking workflows⦠Finster's AI-native approach is solving critical inefficiencies where others have struggled."
Toby Triebel, FinTech Collective: "Deep AI and financial services expertise are both essential ingredients to create truly impactful, deeply integrated enterprise-grade AI for such a complex industry. Already, the proof is in the product, which resonates with clients on a global scale."
Team updates
Finster has added Chris Andrews as chief operating officer, based in New York. Andrews previously served as global COO of research at Morgan Stanley.
Veeral Manek, formerly general manager of Revolut's Wealth & Trading division, has also taken a product leadership role at Finster.
Chris Andrews: "Finster's thoughtful design is defined by two strengths: a platform purpose-built for scale and trust, and a team with proven excellence across AI and finance."
Veeral Manek: "For some time, I have been considering how AI will impact the future of work. I believe Sid and the team are building the most thoughtful solution to solve the unique complexities of the financial industry."
How finance teams can evaluate platforms like Finster
- Start with 2-3 high-impact workflows (memos, research summaries, client materials) and define success metrics upfront.
- Validate data security: entitlements, PII handling, retention, and audit trails. Align with your internal model risk policies.
- Test verifiability: source citations, version history, and approval flows that fit existing controls.
- Check integration paths: SSO, VPC deployment options, DLP, and connectors to internal and market data.
- Run a head-to-head pilot against current tools and baselines; measure speed, accuracy, and error rates.
Resources
- For governance and controls, see the NIST AI Risk Management Framework.
- For a scan of practical AI tools in finance, explore this curated list: AI tools for finance.
Bottom line: Finster AI is positioning itself as an enterprise-grade platform for front-office teams where precision, control, and speed matter. If you're evaluating AI for research and client workflows, this is one to put through a structured pilot.
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