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AgentSmyth secures $8.7 million in Seed funding from investors including FinTech Collective, Thomson Reuters Ventures, and BNY to expand its AI-powered autonomous agent platform for institutional trading. The system delivers real-time market intelligence across macro data, sentiment, earnings, and more, already in use by 48 institutional clients. The funding supports product scaling and deeper integration with major financial institutions.
Wall Street Bets on AgentSmyth’s Autonomous Trading Agents
AgentSmyth has secured an $8.7 million Seed funding round co-led by FinTech Collective and Thomson Reuters Ventures, with additional participation from BNY via its Ascent fintech-innovation program. This brings the company’s total raised capital to $11.2 million, which includes a previous $2.5 million pre-seed round led by Michael Rafferty, president and CEO of Rafferty Holdings. Rafferty also joined in the current round.
The New York-based company delivers real-time, institutional-grade investment intelligence through an autonomous agent platform built specifically for professional traders. Within a year of launch, AgentSmyth has been adopted by 48 institutional clients, including banks, hedge funds, and asset managers managing client assets ranging from $2 billion to $50 billion.
Why AgentSmyth Isn’t Just Another AI Fintech Startup
AgentSmyth’s platform employs a team of five autonomous agents, each designed to extract and interpret live market intelligence across various dimensions. These agents process macroeconomic data, investor sentiment, corporate earnings, options activity, and quantitative analysis—delivering insights with speed and accuracy aligned to volatile trading environments.
Pulkit Jaiswal, co-founder and CEO of AgentSmyth, emphasized the strategic edge the platform offers: “Investment research is becoming a commodity; the real edge is turning that raw insight into basis-point-generating trades.” Jaiswal highlighted that while competitors may generate broad commentary, AgentSmyth is designed to translate insight into specific trading direction.
The platform is already active on trading floors at some of Wall Street’s largest institutions.
What $8.7M Means for AgentSmyth’s Growth Trajectory
The fresh capital is earmarked to accelerate the rollout of additional fully autonomous, trade-ready agents and to expand usage across more institutional desks. The funding also supports product development and integration efforts, including AgentSmyth’s collaboration with BNY through the Ascent program.
The Ascent initiative aims to foster fintech innovation and connects emerging companies with established financial institutions. Through this collaboration, AgentSmyth will work with BNY to refine platform capabilities and further its adoption in institutional workflows.
Inside the Platform: How AgentSmyth’s AI Actually Works
The system integrates over 100 data sets streaming in real time. These inputs feed into an architecture of AI agents that apply multiple investment disciplines to deliver structured, actionable insights. AgentSmyth focuses on information that directly supports trading decisions rather than generic market overviews.
Each autonomous agent specializes in an area of investment intelligence:
- Macroeconomic data interpretation
- Investor sentiment analysis
- Corporate earnings insights
- Quantitative trading signals
- Options market activity tracking
This modular structure allows trading desks to respond rapidly to market shifts without manual synthesis of disparate data points.
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From Wall Street to Snap Veterans: Who Backs AgentSmyth
In addition to FinTech Collective and Thomson Reuters Ventures, AgentSmyth’s backers include a diverse range of experienced operators and investors:
- Binnacle Financial Group
- Systemic Ventures
- Scott Friedman, founding team member at Robinhood
- Jason Halbert, behavioral scientist and early Snapchat executive
- Will Mayer and Alyssa Bonanno of Better Half
Halbert and Bonanno also contribute as brand partners, bringing prior experience from scaling technology companies like Snapchat and shaping brand strategy at firms such as Bilt Rewards and Equinox.
How AgentSmyth Already Impacts 48 Institutional Clients
Within 12 months, AgentSmyth has been deployed by 48 institutional organizations. These clients span asset management firms, hedge funds, and banks, with client assets ranging from $2 billion to $50 billion.
The rapid adoption highlights a demand for automated tools that provide faster, more precise trade signals in dynamic market conditions. These institutions use AgentSmyth to supplement internal research with agent-delivered insights across asset classes and strategies.
Why This Matters for the Future of Institutional Trading
AgentSmyth reflects a broader shift in institutional finance toward platforms that combine AI, real-time data, and autonomous decision frameworks. The company’s model replaces static research outputs with continuous insight delivery, allowing institutional desks to respond in real time.
With backing from influential fintech and financial players, AgentSmyth’s trajectory indicates continued momentum in applying agentic AI to capital markets. The funding round signals confidence not only in the technology but in a fundamental change in how professional investors approach intelligence gathering and execution.
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