orq.ai

As the first European all-in-one Generative AI platform for Enterprises, we are happily announcing new products and accelerating our growth with a pre-seed extension. After a first oversubscribed pre-seed round of EUR 800k in September 2023, we closed an extension round of an additional EUR 1.5m, totaling EUR 2.3M. Our new investments are used to expand our fantastic product team and our new go-to-market team. We are grateful for the early trust and ongoing support of our backers: - XO Ventures - Bart Malenstein & Marc van Meerwijk - Curiosity VC - Herman Kienhuis, Maurice Beckand Verwee & Loïc Struyvelt - xdeck - Dr. Markus Gick, Dr. Nik Tavakoli, Dr. Robert Günther - Spacetime - Adriaan Mol, Tim Dolman - Golden Egg Check - Thomas Mensink - Angels - Arjé Cahn & Koen Köppen We enable organizations to easily integrate with Generative AI (75+ models) and empower domain experts, product management, and engineers to collaborate closely. Every team member in an organization is part of AI transformations and should be equipped with easy-to-use tools and security measures to make the transition. We are so much looking forward to the years ahead! #LLM #GenerativeAI #FundingRound #GenAI #LLMOps #AIOps

Not sure why you're having trouble getting a grip on your AI? 😩 Hint: It might be your tech stack 💡 Here's why 👇🏼 Your tech stack can either make or break your AI. Tech stacks that can't adapt to Generative AI product development workflows lack the basic tooling needed to get you in control of your AI 💡 They also open you up to everything that can go wrong when innovating with Generative AI 👀 ⛔ AI Hallucinations ⛔ Spaghetti Code ⛔ Lots of handovers ⛔ High development costs ⛔ Software compatibility ⛔ Compliance issues ⛔ Poor scalability ⛔ Security vulnerabilities ⛔ High model costs ⛔ Messy collaboration The solution? Avoid all of these risks by building with Generative AI tooling ⚙ By using the right building blocks for LLMOps, you empower teams to build and operate reliable AI-powered solutions faster 🔩 Know of any other reason teams struggle to control their AI? 🤔 Let us know in the comments below! 👇🏼 #LLMOps #GenerativeAI #GenAI #AIproductdevelopment

How do you build reliable Generative AI products? 🤔 Tip: Make it easy for your entire team to get involved💡 Here's why 👇 Building with Generative AI is a team effort. Software engineers aren't the only ones that are part of the DevOps process ❌ Both product and non-technical teams play a key role in taking LLM-powered products from prototype to production: ✔ Product managers are responsible for monitoring the performance of AI products and developing strategies for continued product growth ✨ ✔ Domain experts are responsible for providing feedback on the accuracy of AI-generated responses ✨ That's why teams use platforms like orq.ai to streamline & execute complex LLMOps workflows. By enabling engineers, product, and non-technical teams to work side-by-side on Generative AI use cases, cross-functional teams speed up the time it takes to deliver reliable Generative AI products. 💫 Want to learn more? 💡 Discover our platform in the comments below! 👇 #LLMOps #GenerativeAI #Devops #AIproducts

✨ Exciting news! ✨ Sohrab Hosseini, (Co-founder orq.ai) has been chosen as one of the guest speakers at the AlpsGenAI Virtual Summit 2024! 🚀 The AlpsGenAI offers a space where pioneers in Generative AI and innovation come together to share best practices on the advancement of Generative AI products. We are excited that Sohrab has been selected to discuss the approach enterprises should take when leveraging enablement platforms for Generative AI operations💡 The event is scheduled for Thursday 26th September 2024 - register today so you don't miss out! 🗓 #GenerativeAI #LLMOps #Devops #AIproducts #enablementplatforms

✨ Exciting news! ✨ Our very own Sohrab Hosseini (Co-founder, orq.ai) has been featured in the latest Playpod episode hosted by Builders! ✨ In "Building Resilience: Sohrab Hosseini's Path from Early Ventures to AI Impact", Sohrab shared with Michael and Sharon the key lessons he's learnt on his journey as an entrepreneur. He also discussed the state of AI and its transformational impact across companies worldwide. 🌍 Be sure to watch the full episode here: https://t.ly/w-fRW

Building and shipping AI Products is a team effort. That has been one of the guiding principles that have shaped the vision that Anthony Diaz and I have for our orq.ai platform. It’s not (only) about streamlining workflows for software engineers. It’s about democratizing access to Generative AI for everyone in an organization and mobilize them in the current technological wave. Cross-functional teams must all feel empowered to participate in the transformative power of Generative AI, whether they know how to code or not. Yes, software developers are a core part of the Generative AI development process. But domain experts and product managers also play a critical role at every stage of the LLMOps workflow: Domain experts are key players who step in to evaluate, correct, and improve AI-generated responses. They identify edge cases to iterate on or add to datasets for future experiments Product teams monitor the performance, quality, feedback and costs of AI systems and suggest iterations on the product to maximize its success Both domain experts and product teams are critical to optimizing and refining AI systems. For us, the magic of LLMOps is not the AI system itself.  It’s about enabling teams to work side-by-side and build Generative AI solutions together. #GenAI #LLM  #LLMops #GenerativeAI

“We need to build AI co-pilots that our customers can use to improve user experience.” This is one of the most common use cases we hear at Orq from SaaS leaders using our platform to build Generative AI solutions. More and more SaaS companies are feeling pressure from users and investors to start infusing their products with AI and ramp up the overall user experience they get from your product. However, companies must strike a balance between: 1. Shipping features fast to satisfy customer demand and remain relevant AND 2. Building sustainable LLM-powered systems that keep you in control of your AI Building anything customer-facing with Generative AI is not to be taken lightly. The slightest LLM Ops mistake can cause your AI to hallucinate, leading your brand to join the ranks of the known front-page stories and others whose AI chatbots and co-pilots need no introduction. Moral of the story? SaaS teams must layer their products with AI.  But the solution is not to settle for non-native AI dev tooling - the risk is too high. Use development tools made for LLMOps - so you can stay in control of your AI… Instead of your AI controlling you. #GenAI #LLM  #LLMops #GenerativeAI

“Copilots are easier for SaaS companies to start with than autopilots.” 💡 This was one of the key takeaways shared by Sohrab Hosseini (Co-founder, orq.ai) at Microsoft's ScalingLab "Roadmap to AI-infused B2B SaaS Solutions". At the event, Sohrab shared his thoughts on why SaaS companies are investing in AI, highlighting that co-pilots: • are easier to control since their output is vetted by a human ✅ • do not require complex orchestration between multiple agents ✅ • enable teams to automate laborious tasks ✅ Sohrab also discussed the role that data quality plays in the development of copilots, emphasizing the importance of solid data structuring and classification in order to maximize a copilot’s performance. 📝 Do you agree? Let us know what you think in the comments below! 👇 #GenAI #LLM #LLMops #GenerativeAI

Over the last six months, I have met with over 250 founders, CTOs, CPOs, and business leaders to discuss the importance of building Generative AI solutions with proper foundational tooling. One of the most important takeaways is that companies worldwide clearly understand that Generative AI is not just a trendy topic. AI is here to stay, and only those companies that are able to transform stand a chance to survive and capitalize on the new wave of technology. That said, roughly 90% of business and technology leaders I've spoken to underestimate the steep learning curve for organizations to build and ship software with Generative AI. A successful AI transformation is not about patching together the latest tools to improve legacy systems or automating repetitive tasks with AI. True, scalable AI transformation involves addressing people, processes, and technology. Each requires different things across company maturity levels. It requires a clear understanding that building Generative AI solutions (like AI chatbots) to reduce client friction requires a different level of company maturity than what is needed to restructure internal team processes with AI for better productivity.  It also demands that organizations plan ahead to manage this transformation. The amount of safety, security, and guardrails needed for external-facing solutions is significantly higher. Makeshift AI tooling doesn't help your company in the long run, especially as you plan to transition your organization from one Generative AI maturity level to another in the coming years. Enterprises must procure scalable LLMOps tooling that helps teams manage change and stay in control of AI systems as they scale. Streamlined collaboration across silos and the inclusion of domain experts throughout the entire lifecycle should also not be forgotten. Otherwise, you'll be stuck with a patchwork of tools that are built in-house or poorly integrated and can't handle the demands of your organization's AI systems in the coming years. #GenAI #LLM  #LLMops #GenerativeAI

"SaaS founders need to remove friction for their users."💡 Building AI copilots to eliminate user friction is a hot topic Sohrab Hosseini (Co-founder, orq.ai) touched on at "Roadmap to AI-infused B2B SaaS Solutions" hosted by Microsoft's ScalingLab. 💻 During the talk, Sohrab discussed the benefits of AI for SaaS companies, explaining how SaaS leaders are shifting to building customer-facing AI copilots that enable their end-users to: • Manage unwanted friction from bugs or issues ✅ • Automate boring, repetitive tasks ✅ • Simplify user onboarding by shortening learning curves ✅ • Boost product adoption and retention ✅ Sohrab Hosseini also discussed other common use cases for AI copilots in SaaS companies, such as fusing them into core internal processes to improve overall team productivity. 👨💻👩💻 Know other common use cases for AI copilots in SaaS companies? Let us know in the comments below! 👇 #GenAI #LLM #LLMops #GenerativeAI