Solvd, Inc.

How to adapt LLMs for real-world, specialized use cases The conversation around LLMs is shifting from general capabilities to domain-specific performance. This Thursday, we’re joining the Artificial Intelligence Society Golem at Warsaw University of Technology for a session dedicated to these challenges. Patrycja Cieplicka, our NLP & LLM Engineer will deliver a lecture on “Adapting LLMs to domain-specific tasks”. It will cover the full adaptation pipeline, including preparing and selecting domain-relevant datasets, designing prompts for specialized tasks, applying fine-tuning and pretraining techniques, and evaluating outputs using both classical metrics and LLM-as-a-judge methods. If you’re in Warsaw and want to learn more about practical techniques for building domain-ready LLMs, join the session. 

Scaling quality assurance for Reddit, Inc. fast-changing ecosystem  Reddit wanted every new feature to work smoothly for millions of people using the platform each day. Together, we built a manual testing process that caught real issues early, from missed edge cases to functionality gaps that could affect performance. By validating functionality, performance, and usability across releases, the team strengthened product quality, cut post-release fixes, and kept users’ experience consistent no matter how fast Reddit evolved. See how Reddit and Solvd refined QA to support one of the world’s most active social platforms: https://hubs.la/Q03SNHnj0  

Commerce is becoming multimodal and customers now expect experiences that adapt to them, not the other way around. A new type of shopping experience is taking shape, one where customers move naturally between talking, showing, typing and scanning. Multimodal commerce brings these moments into one flow, helping people find what they want without needing to switch channels or start over. Solvd helps companies build multimodal systems with the right guardrails, expertise and engineering. In this latest article, Solvd CTO Skylar Roebuck explains how multimodal commerce works and why anticipating a customer’s needs is becoming one of the most valuable services a brand can offer. Read the full piece to see how companies can build these systems and support customers in a more intuitive way: https://hubs.la/Q03VBRBv0  

Why does enterprise AI struggle to deliver results for most companies? That is the question Observer explores in a new article featuring insights from Solvd on why so many AI initiatives fall short. The piece examines where teams get stuck, why scaling remains difficult and how gaps in strategy and governance slow real progress. Read the full article and see what our findings show about the gap between enterprise AI plans and real oversight: https://lnkd.in/eJxAjh6q  

Did you know that 97% of CIOs and CTOs are concerned about unethical AI use, but only 38% have oversight?  With our AI-first approach, Solvd is helping leaders bridge the gap between innovation and impact. Grounded in insights from Solvd CIO & CTO insights: AI research 2025, we’re highlighting what it takes to turn enterprise AI into measurable business results.  Download our full research to uncover how enterprises are tackling ethical AI, governance, recession fears and ROI under pressure: https://hubs.la/Q03RR0X50  

How NerdWallet built a faster, smarter QA foundation NerdWallet sought to scale quality testing without compromising delivery speed. They needed a framework built for scale, capable of running fast, reliable tests across web and mobile.   To make that possible, we built a QA framework together, which changed how testing was conducted across the company. It automated 95% of test cases, reached 90% regression coverage, and improved sign-up statistics by 100%. The new framework removed repetitive manual tasks and gave engineers time to focus on meaningful improvements. Explore how NerdWallet and Solvd redefined quality assurance to move more efficiently: https://hubs.la/Q03SMGTW0  

Banking is entering its most critical phase of AI adoption. 47% of AI projects were delayed last year due to economic uncertainty – yet 93% of financial institutions still plan to deploy agentic AI within 24 months.  Solvd’s white paper lays out how banking leaders are navigating this transition, from trust and compliance to the frameworks that make agentic AI safe to scale. How is your organization approaching this challenge today? Get the white paper which outlines a framework for responsible AI adoption in banking. Explore the full white paper to discover how agentic AI is shaping banking’s next chapter, delivering lower operational costs, faster decisions, and more personalized customer experiences: https://hubs.la/Q03SM-KR0  

From traffic bottlenecks and data complexity to clarity and peak performance When Under Armour needed to handle millions of users during peak shopping seasons, they partnered with Solvd to maintain a seamless customer experience and prevent any revenue loss. Solvd engineers designed a performance and load testing strategy that simulated real-world traffic, uncovered bottlenecks early, and helped deliver a smoother, more stable experience across platforms, addressing the challenges holistically. Read the full story to see how Solvd helped Under Armour test smarter and scale with confidence: https://hubs.la/Q03RZvwT0   

Join our growing global team as a Full-Stack Developer or Test Automation Engineer and shape real-world AI-driven projects. As a Full-Stack Developer, you’ll work end-to-end, building scalable back-end services with .NET Core, creating responsive front-end experiences in React or Vue.js, and connecting AI models and data pipelines within Azure. As a Test Automation Engineer, you’ll take ownership of automated test suites, ensure stability across releases, and enhance our internal automation framework while supporting release testing for a social news aggregation platform. Apply now, and help build AI-powered and data-driven applications. Full-Stack Developer job opening: https://hubs.ly/Q03R1gxG0 Test Automation Engineer job opening: https://hubs.ly/Q03R1ltb0

AI innovation can’t rely on a “move fast, break things” mindset. In Unite.AI, Solvd CTO Skylar Roebuck shares a blueprint for balancing speed and responsibility—embedding governance into AI workflows and establishing oversight systems that scale with growth. For companies building what’s next, responsible AI isn’t optional; it’s essential. Read the full article: https://hubs.la/Q03Q_3M90