Dallas, TX – February 11, 2025 – Uptiq proudly announces the launch of the Developer Edition of the AI Workbench, a cutting-edge platform designed to empower developers in creating AI Agents and Agentic applications for the financial services industry. This new release offers low-code/no-code tools, an LLM-agnostic framework, and enterprise-grade security to accelerate AI innovation in banking, wealth management, and lending.
The AI Workbench Developer Edition provides financial services developers with a robust environment for building AI-driven solutions. It supports over 16 Large Language Models (LLMs), including a library of fine-tuned models for wealth, banking, lending, and capital markets industry verticals. The platform enables developers to:
• Create and Configure AI Agents – Design, fine-tune, and deploy custom AI agents tailored for financial workflows, such as commercial lending, credit underwriting, and customer service automation.
• Utilize a Low-Code/No-Code Workflow Builder – Easily design complex business workflows using preset nodes for data integrations, user interactions, and AI-powered decision-making.
• Leverage a Pre-Built Data Gateway – Access a library of pre-configured integrations with financial data sources, ensuring seamless connectivity with banking, credit bureaus, and accounting platforms.
• Implement RAG (Retrieval-Augmented Generation) – Convert structured and unstructured financial documents into usable AI knowledge, enhancing decision-making capabilities.
• Ensure Enterprise-Grade Security & Compliance – Built-in features like hallucination control, PII masking, and compliance monitoring provide financial institutions with the highest level of AI governance.
• Leverage Quick Create Agent Capability – One of the most innovative features of the Developer Edition, this allows users to rapidly create AI agents with minimal setup, streamlining development and deployment. This feature enables developers to quickly build agents for tasks such as summarizing loan documents, extracting critical information like interest rates, payment dates, and loan amounts, and providing user-friendly summaries to clients.
• Monetize Innovation with the Agent Store – Developers can leverage the Agent Store to commercialize their AI solutions, making their AI agents available to a growing network of over 300 financial institutions using the Uptiq Platform. This provides a unique opportunity for developers to market their innovations to a rapidly expanding customer base.
The AI Workbench is LLM-agnostic, giving developers flexibility in choosing the best AI models for their specific use case. The Model Hub allows seamless switching between models, while fine-tuning options ensure industry-specific performance.
The Developer Edition was beta-tested by a closed group of 100+ agent builders and engineers. Following this successful phase, Uptiq now has a waitlist of over 1,000 developers eager to gain access to the platform and build innovative AI agents for financial services.
"The AI Workbench Developer Edition is a game-changer for financial services AI development. It provides a secure, scalable, and highly customizable environment where developers can build next-generation AI agents without needing deep ML expertise,” said Snehal Fulzele, CEO of Uptiq.
The Developer Edition of AI Workbench is now general available for partners and enterprises. Developers interested in building financial AI agents can access the platform at www.uptiq.ai
Uptiq delivers an Enterprise AI Platform for Banking, Wealth Management, and Fintech industries. By combining cutting-edge AI technology with compliant solutions, Uptiq helps financial institutions modernize their services, enhance operational efficiency, and deepen client relationships. With a particular emphasis on delivering reliable, accurate AI outputs, Uptiq’s technology is designed to avoid common LLM pitfalls like hallucinations, making it a trusted partner for highly regulated industries.
After years of development and refinement, Uptiq has successfully processed over $1 billion in financial transactions, proving the platform’s impact and reliability in handling complex financial transactions.
With over $20M in equity funding and a team of industry veterans, Uptiq is positioned at the forefront of the AI revolution in financial services.
For more information, please visit www.uptiq.ai or contact:
Sarin Kuruvilla
Director of Public Relations
UPTIQ
Phone: (412) 304-4272
Email: sarin@uptiq.com
Join more than 140 banks and financial institutions that are using Uptiq's AI agents to automate underwriting, financial spreading, covenant monitoring, document collection, credit intake, and credit memo generation. The future of banking is intelligent, automated, and always-on, and it starts here.


AI for banking refers to the deployment of intelligent, self-learning agents that can automate complex banking workflows, analyze financial data, and make or support decisions in real time. Unlike traditional banking software services that require manual input and follow rigid rule-sets, AI banking solutions learn from data, adapt to changing conditions, and can handle unstructured information like financial statements and tax returns. Uptiq's banking agent approach means these AI systems work alongside your existing team and software stack, no rip-and-replace required.
AI underwriting automates the most labor-intensive parts of the credit decisioning process. Uptiq's AI loan underwriting agent ingests borrower financial data, performs automated financial spreading, evaluates creditworthiness against your institution's criteria, flags risks, and generates a preliminary credit assessment, all in a fraction of the time a manual process takes. AI for loan underwriting is applicable across commercial, retail, SBA, and equipment finance portfolios.
An AI Banking Agent is a digital assistant designed to automate and streamline core banking processes such as loan origination, customer onboarding, compliance checks, and service requests. By handling repetitive tasks, AI agents free up staff to focus on relationship-building and high-value services. This leads to faster processing times, reduced operational costs, and improved customer satisfaction across all banking channels.
Financial spreading is the process of extracting key financial data from borrower documents (tax returns, financial statements, CPA reports) and organizing it into a standardized format for credit analysis. Financial spreading software for banks automates this data extraction and mapping process. Uptiq's AI agents for financial spreading can process financial documents in minutes rather than hours, with greater accuracy and full integration into your credit workflow.
Uptiq's AI credit memo solution automatically generates structured, institution-specific credit memos by pulling together data from your financial spreading, underwriting analysis, borrower intake, and deal terms. Credit memo automation means your analysts review and approve memos rather than drafting them from scratch, typically cutting credit memo time by 60% or more while improving consistency and compliance.
Yes. Uptiq is SOC2 compliant and built with regulatory alignment at its core. Every AI agent includes embedded compliance guardrails, full audit trails, and data governance controls that meet the requirements of federal banking regulators including the OCC, FDIC, and CFPB. Our banking software services are designed specifically for the security and compliance demands of FDIC-insured financial institutions.
Most Uptiq AI agents can be deployed and integrated with your existing systems in days to weeks, not months. Our no-code platform and 100+ pre-built integrations with core banking systems, LOS platforms, and CRM tools mean minimal IT lift for your institution. Many banks see their first live agents within 1-2 weeks of project kickoff.
Yes. Uptiq offers 100+ integrations with leading LOS platforms, core banking systems, CRM tools, and document management solutions. Our AI platform for banking is designed to work with your existing technology stack, augmenting your current systems rather than replacing them. This plug-in approach means your team keeps working in familiar tools while AI agents handle the heavy lifting behind the scenes.