Seekr Technologies

Today, we're launching SeekrFlow as a complete, self-service AI platform for enterprises to build and run trusted AI applications. Enterprises can now sign up and accelerate their time to market through an intuitive user interface and new features that simplify the path to ROI: ✅ Build a production-grade LLM in 30 minutes or less.  ✅ Manage AI workflows end to end, on the infrastructure of your choice.  ✅ Generate high quality training data at up to 90% cheaper cost.  ✅ Customize models to your business needs with 3x the accuracy.  ✅ Leverage rich explainability tools to validate model accuracy.  ✅ Launch models reliably into production in five easy steps.  ✅ Low cost, usage-based pricing model and compute optimization. 🔗 Learn more about the SeekrFlow enterprise AI platform: https://bit.ly/3zbCH0R #EnterpriseAI #TrustedAI #AIDevelopment #SeekrFlow #AI

With the official roll out of Apple Intelligence, I recently had the opportunity to share my perspective with The Drum on how forward-thinking marketers can harness these innovative AI capabilities to gain a competitive edge. As we do at Seekr Technologies, it's crucial for marketers to stay at the forefront of AI to empower our businesses with intelligent and responsible solutions that drive real results. https://lnkd.in/eSSqFB4z

An insightful deep dive from Digiday featuring our VP of Product Nick Sabharwal on the opportunities and limitations of watermarking AI-generated content. We're focused on making the web more reliable and transparent for all.

There's typically a trade-off between RAG solutions and fine-tuned models: 👉 RAG solutions are quick to deploy but come with high variable costs in production. 👉 Fine-tuned models have a high upfront cost but offer lower variable costs in the long run. Our VP of Product Nick Sabharwal explains how SeekrFlow's Principle Alignment offers the best of both, helping teams automatically create a fine-tuning dataset and launch industry-specific models at a fraction of the time and cost 🚀

How do you ensure your model performs in production? SeekrFlow's Sandbox lets you compare two models side-by-side to determine which model produces the most accurate outputs for your use case. ➡ Example: We fine-tuned a model based on an airline's policies to act as a customer service chatbot and compared its responses to a base model.    We asked both, "When is REAL ID going to be required to fly within the U.S.?" ➡ Results:  Fine-tuned model (left): Accurate, policy-compliant response ✅ Base model (right): Inaccurate with high token count ❌ For enterprise AI, optimizing model performance before deployment is critical. Explore the latest tools to enhance accuracy: https://bit.ly/3Yj9Dgy #XAI #EnterpriseAI #SeekrFlow

The AI lifecycle is complex—and expensive. 🔧 Only 15% of organizations have the infrastructure needed to support AI systems 💸 Organizations spend more than 80% of their total budget on AI infrastructure 📉 85% of AI/machine learning projects fail to produce a return for the business To unlock ROI from AI, enterprise teams must simplify operations and adopt an outcomes-first approach at every stage of the lifecycle.

Transparency can make or break the success of an AI application.    Enterprises that prioritize AI transparency are better equipped to comply with regulations, build trust with users, and achieve the goal of their AI initiative.    But how can teams open the black box of AI and understand the inner workings of models?    Learn about the latest tools and techniques from Director of Product Jonathan Chang: https://bit.ly/3Uiyyzn

AI needs to respect the domain your business operates in. Whether it's finance, healthcare, or legal, each industry has its own regulations and values. To deliver meaningful outcomes, AI needs to understand and behave within the boundaries of that specific domain. Learn how to build industry-specific applications with SeekrFlow: https://bit.ly/48eAejl #AIDevelopment #EnterpriseAI #SeekrFlow

Struggling to validate the accuracy of AI models? SeekrFlow integrates rich explainability features that make it simple to compare model responses and detect hallucinations at the source. Token-level error detection and side-by-side prompt comparisons give you the transparency you need to launch AI applications with confidence 🚀 See what you can build with SeekrFlow: https://bit.ly/3BL5k5Y

Enterprises often face overwhelming complexity in AI development, with many lacking the resources to build advanced infrastructure from scratch.    OneValley used SeekrFlow to automate the process of aligning an AI model to their principles and business guidelines, transforming raw data into a custom AI model without the need for internal infrastructure or coding expertise. Curious how they did it? Read the full case study: https://bit.ly/3BWcRid #AIUseCases #FinTech #EnterpriseAI