Streamline your financial documentation process with GenAI solutions & focus more on prioritizing ROI amidst ever-changing economic landscape.
Are you unsure of how to incorporate GenAI when it comes to your financial document process?
Do you lack the internal knowledge to achieve ROI with GenAI?
Have you been challenged to deliver efficiencies on an aggressive timeline?
Have you incorporated GenAI into your cost-cutting strategy?
Embark on your Generative AI journey with our FinanceGPT service, where our unparalleled six sprint program, from ideation to development, positions your company at the vanguard of innovation. Stride doesn't just build software; we enhance and expand your vision, ensuring your GenAI solutions leave a lasting impact.
Our partnership is a catalyst for growth, equipping your team with the knowledge and skills to not only refine you documentation process but also to independently spearhead future GenAI initiatives. With Stride, you fast-track your path to operational excellence and foster a legacy of continuous innovation.
Together, we will explore your employees' problems and workflows that can be addressed by GenAI.
Together, we will build a full-stack end-to-end GenAI product in as little as 6 weeks.
Together, we will provide your team with ongoing training and insights to scale and grow your GenAI capabilities.
For Nick Peddy, CLEAR's CTO, the focus was on the pivotal role of data security in LLM integration. Stride was instrumental in this process, with our team, particularly Rob and Dan, emphasizing the importance of aligning LLM capabilities with CLEAR's specific needs, rather than just implementing technology.
This approach led to the creation of Thena, CLEAR's tailor-made LLM, which has not only strengthened data security but also become a celebrated tool within the company, showcasing Stride's commitment to facilitating responsible and impactful technological innovation.
Short answer: Yes. It is now feasible to go from ideation to production in as little as 6 weeks. In some cases, even sooner. One the very first phone call with Stride, we’ll tell you more about the ins and outs of our unique process that involves identifying a high ROI use case, identifying what you can achieve with today’s cutting edge GenAI tools, and how to create an optimal UX that increases ease of use and adoption.
For the past decade, Stride has been an industry leader in building upon and integrating with existing systems. We rapidly build custom LLM products that fully capitalize on all of the modern GenAI technology from not only the big players but also a broad array of tools and technologies.
A custom secure Large Language Model (LLM) is tailored to a company's specific requirements, ensuring data privacy and regulatory compliance by operating entirely within the company's secure environment, with limited access to industry-specific knowledge and internal data sources. In some cases, a simple custom LLM can be built with off the shelf tools. In some cases, these tools aren’t scalable to more complex cases. Stride can help you parse what’s possible with the most cutting edge tools and what requires a human touch.
Just like with software development, Agile transformation and more - Stride helps make good teams great. With GenAI, we bring deep, hands on experience deploying LLM-powered applications, managing LLM and machine learning infrastructure, and helping teams learn about GenAI and improve their workflows to take advantage. It’s crucial that your team gets GenAI right, and Stride can help avoid mistakes and setbacks that may lead to negative outcomes.
Within a few brief working sessions, the Stride team will help align your stakeholders on a small set of prioritized ideas, and uncover forecasted ROI with each. The outcome is you walk away with either a compelling reason to build an LLM today OR a compelling reason not to.
Our clients are calling on Stride to build custom LLMs both for external (customer-facing) and internal use. LLMs are exceptional at analyzing data, structuring unstructured data, and making repetitive tasks quicker. As such, both tech and non tech teams alike are taking advantage of LLMs.