Thousands of deliveries to thousands of senior stakeholders at institutions like J.P. Morgan, Visa, and Amazon. Highly customized intelligence that cuts through the noise so your teams can focus on strategy, not signal-hunting. Our proprietary datasets, built and curated by domain experts, are now accessible at the individual level, including through the AI tools you already use, via Model Context Protocol (MCP) integration.
For enterprises that need to move faster on AI but aren't sure where the real opportunities are, we serve as an embedded R&D partner. We identify where the AI capability boundary actually is today, build working solutions using frontier tools your enterprise can't yet approve, and run them while they deliver value from day one. When your internal tools catch up, we transfer the full capability to your team. We're designing for your autonomy, not your dependence.
Most enterprise AI initiatives fail before delivering value. We absorb the experimentation, and the risk, so you skip straight to what works.
AI capabilities are advancing at an unprecedented pace. The gap between what's possible and what regulated enterprises can deploy isn't closing, it's widening. That's exactly where we operate.
ChatGPT launches and reaches 100 million users in two months, the fastest consumer adoption in history. The AI era begins in earnest.
GPT-4 raises the bar for reasoning, analysis, and code generation. Meta open-sources LLaMA and Llama 2, democratizing access to powerful AI. AutoGPT becomes the fastest-growing project in GitHub history. Enterprise teams start experimenting, but compliance and security reviews haven't caught up, and most employee-built solutions can never be brought inside the enterprise.
GPT-4o and Claude 3 go multimodal, processing text, images, audio, and video. OpenAI's o1 introduces reasoning-first architecture. 92% of Fortune 500 firms report using generative AI in operations. Protocols like MCP enable AI to connect directly to enterprise data and tools. The cost of GPT-4-level performance drops from $30 to under $1 per million tokens in just twelve months.
Frontier models like Claude Opus, GPT-5, and Gemini 3 achieve expert-level reasoning. METR finds AI task capability doubles every seven months. Visa, Mastercard, and PayPal launch AI agent payment rails. Yet enterprise governance can't keep pace, the gap between what's possible and what's deployable becomes a defining challenge for regulated industries.
The EU AI Act enters its first major enforcement cycle. Gartner projects 40% of enterprise applications will embed task-specific AI agents. 62% of organizations are actively deploying agentic AI systems. Yet most regulated institutions still operate tools from two generations ago, the frontier gap has never been wider or more consequential.
Seven years of delivering intelligence to the world's leading financial institutions.
"I like using Transaction Insights to get tailor-made intelligence whenever I need to dive deeper into an emerging trend that's specificially interesting to us. I've been impressed by the company's ability to find innovative early-stage fintechs before they are on the radars of mainstream market databases"
"Transaction Insights has brought significant efficiency and insights to our business and freed up our staff to focus on strategic implications of important market and competitive activity."
Shaun Abraham, CEO
Built on deep roots in financial services. Shaun's journey to co-founding Transaction Insights was featured in J.P. Morgan Chase's Alumni network.
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