𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 🧠 Without the right tools to evaluate AI, scaling safely and reliably will always be a gamble. 🎲 𝗢𝗿𝗾.𝗮𝗶 𝗺𝗮𝗸𝗲𝘀 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗲𝗮𝘀𝗶𝗲𝗿. Our platform provides teams with the tools needed to 𝗺𝗲𝗮𝘀𝘂𝗿𝗲 and 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 the performance of AI apps at scale: ✔ 50+ Evaluator templates to benchmark accuracy ✔ RAGAS Evaluators for RAG Pipelines ✔ Guardrails for safe, compliant AI output From experimentation to deployment, Orq.ai ensures your AI applications are measurable, reliable, and scalable. 🦾 Check out our product updates below to learn about the features we've shipped to help teams get a grip on GenAI👇🏾 https://lnkd.in/eYwkX9TK #GenerativeAI #AIInnovation #AIPlatform #ArtificialIntelligence
orq.ai
Softwareontwikkeling
Where developers, product teams, and domain experts work side-by-side to build Generative AI products.
Over ons
Orq.ai is a no-code platform where developers and non-technical people work side-by-side to take Generative AI products from prototype to production.
- Website
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https://orq.ai
Externe link voor orq.ai
- Branche
- Softwareontwikkeling
- Bedrijfsgrootte
- 11 - 50 medewerkers
- Hoofdkantoor
- Amsterdam
- Type
- Particuliere onderneming
- Opgericht
- 2022
- Specialismen
- LLMs, LLMOps, Generative AI, GenAI, Artificial Intelligence en AI
Locaties
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Primair
Routebeschrijving
Amsterdam, NL
Medewerkers van orq.ai
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Herman Kienhuis
VC investor, on a mission to support European founders in building Al software companies that serve the world, not eat it.
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Sohrab Hosseini
☸️ Co-founder Orq.ai - Generative AI Collaboration Platform
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Tom Quinten
Corporate Sustainability | Sustainable Sourcing Software | CSRD | EUDR | ESG | SaaS | Head of Sales Europe
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Dr. Nik Tavakoli
Pre-Seed + Seed VC Investor | xdeck | xMcK
Updates
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𝗖𝗼𝗻𝘁𝗿𝗼𝗹 your AI. 𝗕𝘂𝗶𝗹𝗱 with confidence. 🦾 With orq.ai's new Evaluator Library, AI teams now have the tools to test, measure, and control interactions between AI applications and end users. ✔ 50+ Evaluator templates ✔ RAG Evaluators ✔ Real-time Guardrails for safe outputs ✔ Improved Programmatic Evaluators ✔ Built-in AI Act Compliance From hypothesis to production, Orq.ai helps teams build AI that’s not just powerful, but also 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝘀𝗮𝗳𝗲, and 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲. Learn more about our Evaluator Library and Guardrails below! 👇🏻 https://lnkd.in/eBBSTmA5 #GenerativeAI #ResponsibleAI #AIInnovation #AIProductDevelopment
We finish 2024 off with an entirely new capability within orq.ai Getting control of your AI is prio 1, 2, and 3. With our new Evaluate suite, we bring: - 50+ new Evaluators - RAG Evaluators - Upgraded LLM-as-a-Judge for better reasoning - Online Evaluators - Online Guardrails - AI Act Compliance Now, from initial hypothesis to production, you have your own tailored evaluations that measure and block every interaction between your systems and the AI Models used. Why is this needed, you ask? Because great AI doesn't just generate answers — it performs 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 in production and evolves with user needs. With the Evaluator Library and Guardrails, we're not just giving AI teams the tools they need to build AI applications that work. We also give teams the tools to make them safe, scalable, and aligned with real-world applications. #GenerativeAI #LLM #GenAI #Guardrails #LLMEvaluation
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𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗿𝘁 𝗼𝗳 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 💻 Building successful AI applications goes beyond technical expertise. It requires cross-disciplinary collaboration, strategic foresight, and risk management tailored to AI's unique challenges. In partnership with Neoteric, we’ve co-authored a blog that dives deep into the essentials of managing AI projects from ideation to deployment. In this post, you’ll learn about: ✔ Aligning product teams, developers, and subject matter experts ✔ Minimizing AI-specific risks to avoid common pitfalls ✔ Staying agile in a fast-evolving AI landscape Success in AI isn’t just about building innovative solutions — it’s about managing them intelligently. 📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗯𝗹𝗼𝗴 𝗵𝗲𝗿𝗲: https://lnkd.in/dtTCPkwh Let us know your thoughts in the comments below! 👇🏻 Sohrab Hosseini Claudia Słowik-Lubańska #AI #ProjectManagement #AIInnovation #Collaboration #Leadership
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Yesterday, NOS visited us to discuss the challenges and opportunities for European startups like orq.ai in the AI space. Europe has incredible potential to lead in innovation, but there’s work to be done. For startups, it’s not about asking for handouts — it’s about creating a clear and supportive ecosystem that encourages growth. Here’s where we see room for improvement: ✅ Streamline compliance regulations: One unified framework across member states can make scaling across borders easier. ✅ Foster VC investments: Allocating more savings and provisions toward venture capital can unlock enormous potential. ✅ Simplify cross-border hiring: Growing startups thrive on global talent. ✅ Encourage collaboration: Large organizations and governments can drive innovation by working closely with startups. As we expand and continue to develop tools that empower businesses to harness AI, we’re optimistic about Europe's potential to remain competitive. It starts with action. Let’s build a stronger ecosystem for startups together. 🦾 #AI #Startups #Innovation #Tech
Although the highest echelons of the EU are warning about the slow-moving train wreck that is incoming for our economy (cue the German automotive industry), local governments simply are not doing their part to streamline and smoothen the path in the timely implementation of guidelines. Yesterday, NOS visited us to share our perspective as a Dutch startup in AI. Anke Huiskes is also always doing her part to move the ecosystem forward. We are not asking for any handouts; let's start with swift policy and actions: - Unify compliance regulations across member states (not: provide guidelines and allow for 27 local interpretations) - Simplify cross-border hiring (and firing) - Take the lead in allocating more savings/pensions into VC-class investments - Act as a good client by creating fast tracks to buy from startups instead of sending all our money to US Big Tech - Facilitate and increase corporate awareness of the innovation power by working more with startups - Stop endless reports and research on obvious problems The above doesn't require significant budgets, just the will of bureaucrats to roll up their sleeves, break down some walls and get shit done. Other parties tirelessly pushing this and doing a big service to the ecosystem are Techleap with Constantijn Van Oranje-Nassau, and Dutch Startup Association with Lucien Burm and Johan Schaap, Golden Egg Check with Thomas Mensink. Thank you! Link to article: https://lnkd.in/ej_naxhz
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Struggling to manage LLM prompts? 🤔 Hard-coded prompts and Google Sheets plugins might get you started — but they won’t help you scale an AI-powered product. ❌ Teams that are serious about building AI apps must level up their prompt engineering workflow. That's where orq.ai comes in. Our end-to-end platform gives product teams and engineers the tools needed to manage and deploy LLM prompts at scale: ✅ 𝗣𝗿𝗼𝗺𝗽𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Keep all LLM prompts in one secure repository and build reusable templates for future use cases. ✅ 𝗣𝗹𝗮𝘆𝗴𝗿𝗼𝘂𝗻𝗱𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀: Test system prompts in a safe environment before deploying to production. ✅ 𝗘𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Store granular data on prompt, model, and deployment performance in a single platform. ✅ 𝗣𝗿𝗲-𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: Run simulations, regression tests, and backtests to ensure your prompts perform as expected. Your AI team deserves a better workflow. Go beyond the basics — make your AI ambitions a reality with Orq.ai. Learn more about our prompt management tools below! 👇🏻 https://lnkd.in/dJ6kTBrt #GenerativeAI #AIInnovation #LLMOps #PromptEngineering #AIWorkflow #ScaleAI #AIProductDevelopment
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What does it take to build a 𝗰𝗼-𝗽𝗶𝗹𝗼𝘁 that delivers? 🧑✈️ Sohrab shares three essentials for success: ✅ 𝗛𝗶𝗴𝗵-𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗗𝗮𝘁𝗮: Clean, structured data ensures accuracy and relevance in your co-pilot. ✅ 𝗣𝗿𝗼𝗽𝗲𝗿 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: Equip people with the right tools to effectively design and manage AI systems. ✅ 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆: Strong workflows and quality checks lead to reliable, user-enhancing co-pilots. Building co-pilots isn’t a shortcut — it’s a thoughtful journey combining data, tools, and processes to create real value. 🚀 #Copilot #GenerativeAI #LLMOps #AIInnovation
"Co-pilot" has become a major “AI buzzword” in 2023/24. But what does it 𝗿𝗲𝗮𝗹𝗹𝘆 take to build one that delivers real value? As co-pilots become integral to how we use software, many SaaS companies and enterprises have already started exploring ways to embed them into their platforms. Here’s my take on what teams need to do to make this a success. The journey to a great co-pilot starts with 𝘁𝗵𝗿𝗲𝗲 𝗸𝗲𝘆 𝗲𝗹𝗲𝗺𝗲𝗻𝘁𝘀: 1️⃣ Data Quality: First things first: 𝗯𝗮𝗱 𝗱𝗮𝘁𝗮, 𝗯𝗮𝗱 𝗰𝗼-𝗽𝗶𝗹𝗼𝘁. If your internal data isn't clean and structured, don't expect developing a co-pilot to be smooth sailing. Co-pilots rely on high-quality data to provide accurate and contextually relevant assistance. Get your data foundation in place first. 2️⃣ Technology Enablement: Your people are your strongest asset. They need the right tech stack to succeed. Empower them with reliable tools and frameworks to operate AI models and build these experiences effectively. 3️⃣ Process Maturity: Building co-pilots requires discipline. Solid processes and quality checks ensure that what you ship isn’t just “functional” but actually elevates your product’s user experience. Poorly executed co-pilots only frustrate users and undermine trust in your brand. So, what's the magic formula? It’s a blend of high-quality data, tech-empowered teams, and processes that make building high-performing co-pilots easier. Remember, you can’t just slap AI on a product and expect miracles. Building effective co-pilots is a thoughtful journey – not a shortcut. #Copilot #LLMops #LLM #GenAI #GenerativeAI
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orq.ai heeft dit gerepost
⚡ We had such a great time at Slush 2024! Came home from Helsinki with a lot of fresh and new insights 💡 Thomas Mensink: "I really enjoyed this edition of Slush again. It was great to catch up in-person with the founders of 8 of our portfolio companies that were in Helsinki. Many of them are making great progress, so it feels like our fund has some great momentum. And the cherry on the cake was the win of OASYS NOW in the Slush 100! Of course, as one of their first investors that was a proud moment for me, but it also felt that our other portfolio founders and the rest of the Dutchies at Slush were just as excited!" His Golden Egg Check collegae Anna Dyachenko adds: "I learned that European investors love to ask preventive questions and US based funds supportive questions. I noticed that I also ask a lot of preventive questions myself. So my take away: if you want to build better relationships with founders you should not put them in a defensive position but rather ask questions about the potential of their company.“ Sirius Cariqa Roseman Labs orq.ai Deeploy Lucy Cowper Niek J. Bouman Mario La Pergola Kaären Davoli Anastasia Kuskova Issam Tidjani Sohrab Hosseini Ytsen van der Meer Maarten Stolk Nima Salami Roderick Rodenburg Tamara Ciullo Sara Okhuijsen What was your most important thought travelling back home after Slush? Share in the comments! 👇
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How well do you measure your 𝗔𝗜’𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲? 🤔 Running AI features without insight into 𝗟𝗟𝗠 𝗰𝗼𝘀𝘁𝘀, 𝘁𝗼𝗸𝗲𝗻 𝘂𝘀𝗮𝗴𝗲, or 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 is like driving blindfolded. 🚗💨 Hidden costs can skyrocket, and unoptimized configurations might slow down your AI’s impact. ❌ At orq.ai, we make it simple for teams to: ✅ Monitor AI model usage, costs, and requests in real time. ✅ Optimize configurations to improve performance and reduce spend. ✅ Ensure safe and secure AI deployments with built-in guardrails. With the right tools, you can build smarter, faster, and more cost-effective AI solutions. 🧠💰 Check out the link below to learn more! 👇 https://lnkd.in/eHRgp4sv #GenerativeAI #AIOptimization #AIInsights #LLMOps
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orq.ai heeft dit gerepost
Conversation design | Generative AI | Linguistics | NLU/NLP | technical communication | I build communities
🚀 This morning, we kicked off Cohort 7 of GenAI design for conversations and content, aka 'The small miracle cohort'! Because, yes, we did manage to bring together another great group of people, not just from the APAC area, but from all four corners of the world! 🙌🙌 💡And some exciting news too: I've switched one my course's prompt design tools! From now on, I'm using orq.ai as my go-to LLM-playground! I'm always on the lookout for better tooling for content and convo design folks like us, and Orq.ai definitely ticks a lot of component prompt management boxes! ✅A prompt library ✅Prompt version management (minor and major versioning, plus commenting!) ✅ Role & project based access ✅ Prompt snippets for re-using those parts of your prompts that you'd otherwise be re-typing over and over again. ✅ Prompt testing and comparison ✅ A complete prompt evaluation and labelling suite with extensive logging ✅ Advanced variable and dataset management ✅ A full RAG implementation And that's just the start of it! I mostly use Orq for prompt design, but it's meant as a complete, end-to-end Generative AI collaboration platform for managing your LLMOPS workflows. That is, everything you need to take your GenAI from prototype to production. Think experiments, deployments and a whole toolkit full of observability & evaluation tools. 🤖Want to give Orq.ai a spin? ➡️If you're in my current or future courses, free access to Orq.ai will come with the course. ➡️If you're in one of my previous cohorts, keep a eye on Convoclub for a masterclass & demo. ➡️Else, go and get in touch with Orq.ai through their website https://orq.ai/, and tell them I said hi! Thanks to Sohrab Hosseini, Ties Verberne, Kyra Dresen and the wonderful team at Orq.ai for making this collab possible, looking forward to more knowledge exchange! I definitely feel a webinar or masterclass coming up. Or two :-) #fortheloveoflearning #generativeai #promptmanagement #llmops
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𝗛𝗼𝘄 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗔𝗜 𝗶𝗱𝗲𝗮𝘀 𝗶𝗻𝘁𝗼 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 - 𝘀𝘁𝗲𝗽 𝗯𝘆 𝘀𝘁𝗲𝗽. 🗒️ Building and shipping AI features is as much an art as it is a science. At orq.ai, we give teams the tools needed to bring AI features from concept to production 𝘀𝗮𝗳𝗲𝗹𝘆: ✅ 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗮𝗻𝗱 𝗧𝗲𝘀𝘁 𝗜𝗱𝗲𝗮𝘀: Develop and refine AI concepts in interactive playgrounds, testing prompts and selecting the right AI models for your use case. ✅ 𝗥𝘂𝗻 𝗠𝗮𝘀𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀: Scale hypotheses with automated evaluators, like LLM-as-a-Judge, to quickly identify the best-performing prompts and model configurations. ✅ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗚𝗿𝗮𝗱𝗲 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: Deploy AI features with confidence using tools for canary releases, A/B testing, caching, retries, and monitoring — all optimized for stability and scalability. ✅ 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗮𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲: Leverage real-time feedback, guardrails, and fine-tuning to continuously improve the performance of your AI. Developing AI features doesn't stop at shipping — it's about growth, adaptation, and excelling in real-world settings. 💡 #ArtificialIntelligence #GenerativeAI #AIProductDevelopment #LLMOps #AIOperations #TechInnovation #AIExperimentation
Building and shipping AI features is as much an art as a science. Here’s how orq.ai equips teams with the tooling needed to bring that initial spark of an idea all the way to a full-fledged AI product: 1️⃣ Concept & Hypothesis Development: Everything starts with a hypothesis — a new idea for a product or feature that provides value to a user. Orq.ai offers interactive playgrounds for teams to test prompts, explore sequences, and choose a suitable AI model for their use case. 2️⃣ Mass Experimentation: Once the hypothesis holds up, it's time to verify this at scale. Our platform lets teams move from a single-use case to running thousands of experiments with automated evaluators — like LLM-as-a-Judge — to qualify and quantify outcomes at scale. This helps teams quickly identify the best-performing prompt and AI model configurations. 3️⃣ Production-Grade AI Features: Orq.ai makes it easy to deliver production-grade AI features. Teams get to conduct canary releases from development to staging; once in production, flexible A/B testing allows for gradual roll-outs and personalization. Caching, retries, fallbacks, and monitoring are all taken care of. We make sure AI features are ready to meet end-users in a stable, safe, and scalable way. 4️⃣ Monitoring & Fine-tuning: Once AI features go live, it's all about monitoring and fine-tuning. Orq.ai’s real-time evaluators and guardrails protect against unusual behaviors. Subject matter experts can then annotate results for future refinement and regression tests. Explicit and implicit feedback from users can then also be logged back. With Orq.ai, teams control their AI from ideation to production and beyond. After all, it’s all about building AI that grows, adapts, and excels in real-world settings. 🦾 #genai #generativeai #LLM #LLMOps