Titan has raised USD $3 million in new funding, led by Entropy Ventures.
The money will support product development, hiring and broader growth as Titan expands its artificial intelligence platform for banks, credit unions and fintechs in regulated markets.
Titan is targeting a problem facing much of the financial services sector as institutions look to deploy AI tools while meeting compliance, risk and audit requirements. The company argues that general-purpose large language models do not reflect the data structures, workflows and regulatory demands banks manage every day.
Its platform is built around banking-specific models trained on the language and processes used by financial institutions. Titan says this approach is meant to give firms AI systems that can be governed, audited and explained to examiners.
Investor backing
The deal is the first investment from Entropy Ventures Fund I. The firm focuses on early-stage companies in business-to-business software, fintech, applied AI, and crypto infrastructure, targeting businesses raising their first USD $15 million in funding.
Jeff Reitman, Founder and General Partner of Entropy Ventures, said the firm sees growing demand for AI systems built specifically for banking rather than adapted from broader consumer or enterprise models.
"Banking is one of the most demanding, compliance-driven operational environments in the world, and its next generation of winners will be those institutions that can adopt AI with governance, regulatory alignment, and real domain reasoning built in," said Jeff Reitman, Founder and General Partner, Entropy Ventures.
"Titan is defining what banking-native AI looks like from the start, and we're excited to lead this round as Entropy Fund I's first investment because trusted banking AI isn't a future concept, it's rapidly becoming required, foundational infrastructure. The window for banks to adopt AI safely is opening fast, and the cost of waiting will only compound over time. The institutions that get it right now will define the next era of financial services," Reitman said.
Growth claims
Titan emerged from stealth in October 2025 and says it has since recorded strong growth. It launched with seven-figure annual recurring revenue and says it tripled it over the following seven months.
That growth comes as lenders and financial technology groups face mounting pressure to introduce AI into customer service, operations, underwriting, fraud management and internal workflows. At the same time, supervisors and internal risk teams are pushing firms to show how automated systems make decisions, handle data and fit within existing controls.
Titan's products are aimed at community, regional and super-regional banks, as well as credit unions and fintechs. The company says those customers need tools that fit operational environments where regulators and examiners may review decisions.
Arjun Sirrah, Founder and Chief Executive Officer of Titan, said the company has focused on practical use inside banks rather than general AI use cases.
"Since coming out of stealth seven months ago with a seven-figure ARR, we've tripled our live ARR in this short period by focusing on what banks actually need to adopt AI safely, which are systems that actually understand banking's products, workflows, and governance from day one," said Arjun Sirrah, Founder and Chief Executive Officer, Titan.
"AI adoption in banking is no longer optional, but delaying or getting it wrong can create real operational and regulatory risks. This is why we're building banking-native AI now that allows teams to move with urgency without sacrificing effectiveness, control, and examiner readiness," Sirrah said.
Sector focus
The funding round reflects continued investor interest in specialist AI companies targeting heavily regulated industries. Rather than competing head-on with large general-purpose model providers, firms such as Titan are trying to build software tailored to sector-specific data, processes, and compliance needs.
For banks, that means systems that can operate within established governance frameworks and support record-keeping, review and oversight. Titan says its platform offers a private interface, access to foundational models, its own banking models and AI agents tailored to banking tasks.
A team with experience in artificial intelligence, bank operations, technology and regulatory compliance founded the company. With the new capital, Titan plans to expand that base as competition grows among AI suppliers seeking a place inside core financial services workflows.