About us

I'm Filip, and I’m excited to share the story of Wordware. It's a tale of passion, perseverance, and a shared dream to push the boundaries of what’s possible with AI. We've been paddling ahead of the wave, striving to stay at the forefront of AI.

How It All Began

The roots of Wordware go back to Cambridge University, where Robert and I first met ten years ago. Both of us were driven by a love for artificial intelligence and a desire to see how far we could push the technology. This wasn’t just a chance meeting—it was the start of a partnership that would see us through years of collaboration and growth.

At Cambridge, we quickly bonded over our mutual fascination with machine learning and large language models (LLMs). We spent countless hours discussing ideas, experimenting with new tech, and imagining a future where AI could transform industries. This early connection laid the foundation for what would eventually become Wordware.

“Imagine the potential if each employee could execute their best AI ideas for the company. With Wordware, you can test hundreds of AI tools every quarter, driving innovation and efficiency.”
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_{— Filip, Co-founder}

Building a Legacy of Creating

Robert and I are product-first builders with a solid track record in delivering practical machine learning solutions. Over the past decade, we’ve honed our skills, shipping successful ML products that made significant impacts in various fields. Here’s a glimpse into our journey:

• Early Adopters of LLMs: Long before AI Ops became a buzzword, we were working with some of the earliest large language models like BERT and GPT-2. We created high-performing stacks that set new benchmarks, showing our knack for staying ahead of the curve.
• Successful Exits: Both of us have had some remarkable successes. Robert was one of the pioneering engineers at FiveAI, which was later acquired by Bosch for a hefty sum. My ventures have collectively raised over $10 million, demonstrating our ability to build valuable companies.
  

A Partnership Forged in Adversity

For the last two and a half years, Robert and I have been working full-time as co-founders of Wordware. This period has been a rollercoaster of highs and lows, challenges, and triumphs. Through it all, our partnership has only grown stronger. We’ve faced setbacks, celebrated successes, and learned invaluable lessons.

Our ability to navigate the startup life together has de-risked the team factor—a critical element in the success of any venture. This strong foundation has kept us resilient and focused on our ultimate goal: revolutionizing how businesses leverage AI.

The Vision Behind Wordware

At the core of Wordware is a bold and ambitious vision. We see a future where AI is seamlessly integrated into everyday business operations, driving efficiency, improvements, and growth. Our mission is to empower companies with the tools and insights they need to harness the full potential of AI.

• Product-First Approach: We build with the end user in mind, ensuring that our solutions address real-world challenges and deliver tangible value. This approach has been key to building products that not only perform exceptionally but also resonate with users.
• Pioneering AI Solutions: With our deep understanding of LLMs and machine learning, we stay at the forefront of AI advancements. We’re committed to exploring new frontiers and pushing the boundaries of what AI can achieve.
• Transforming Industries: Our goal is to drive change across industries. Whether it’s healthcare, finance, retail, or any other sector, we aim to provide AI solutions that enhance decision-making, streamline operations, and unlock new growth opportunities.

Core Beliefs and Values

One of our core beliefs at Wordware is the importance of involving domain experts in the development of AI applications. We understand that the best AI solutions are built with deep industry knowledge and expertise. Domain experts bring invaluable insights and context that enhance the accuracy and relevance of our AI models. By collaborating closely with these experts, we ensure that our solutions are not only technically robust but also practically applicable.

Another key principle we hold is the necessity of keeping humans in the loop. AI can process vast amounts of data and identify patterns that might escape human detection, but the final decision-making often requires human judgment and ethical considerations. We believe in a hybrid approach where AI augments human capabilities, leading to more informed and balanced outcomes.