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

When it comes to regulatory compliance, 'close enough' isn't good enough. SeekrFlow's Sandbox allows enterprises to compare models side-by-side and determine which one provides accurate, compliant responses tailored to their use case. ➡ Example: We fine-tuned a model to CFR Title 21 (FDA regulations) to act as a regulatory assistant that guides users on compliance questions related to FDA standards. We compared its responses with a base model. We asked both: "What warning statements are mandated on the labels of feminine deodorant sprays?" ➡ Results: Fine-tuned model (left): Accurate, regulation-compliant response ✅ Base model (right): Inaccurate with irrelevant information ❌ In industries where compliance is non-negotiable, every response matters. Discover how SeekrFlow helps you meet regulatory standards with precision and confidence: https://bit.ly/40I9rKz

As AI becomes more autonomous, the relationship between humans and AI will change—but how? Moving from operational control to strategic oversight, human-in-the-loop (HITL) interactions at key stages will optimize efficiency while maintaining the expertise enterprises require. Learn more from Director of Product Jonathan Chang on the key HITL strategies every development team needs to build more reliable AI systems, both now and as technology advances: https://bit.ly/4eqWDLH 

Save the date 👇 Our end-to-end AI platform, SeekrFlow, will be featured in the GAI Insights Corporate Buyers' Guide to Enterprise Intelligence Applications—a guide designed to streamline decision-making for enterprise leaders adopting generative AI.

🚨 We've simplified the data creation experience in our SeekrFlow AI platform. With enhancements to the Homepage and Data Creation process, users get more guidance to help train, validate, and deploy custom AI models faster.  What's new? ➡ Easily find what you need with reorganized quickstart cards that streamline your workflow. ➡ New icons and tooltips allow you to reference documentation without interrupting your work. ➡ Enhanced guidance every step of the way, from data creation to deployment. These feature upgrades make AI development more accessible for users of all technical backgrounds and provide a faster path to deployment. Sign up for SeekrFlow today to try them yourself: https://bit.ly/3YAnY8m 

Oxford Road's Daniel Granger shows how our content evaluation platform, SeekrAlign, helps fund respectful, idea-driven political podcasts across the spectrum. SeekrAlign provides clear suitability metrics that empower advertisers to confidently reach their audience while supporting important dialogue.

What if you could rely on AI as if it were a member of your team? That's the promise of agentic AI. This new approach advances AI from chatbots and Q&A systems to autonomous problem solvers equipped to reason and act on their own, transforming how we live and work. Learn from Principal AI Engineer Andrew Bauer how agents are impacting the enterprise: https://bit.ly/4fAUo9B

How can you efficiently build AI models that understand your industry, business, and customers? Our agentic workflow, Principle Alignment, offers a simple method to customize a foundational model to the principles of a specific domain, enabling faster data creation, enhanced model accuracy, and reduced production costs. Here's how it works: 1️⃣  Principle definition: A SeekrFlow user provides a set of high-level principles or policy documents/guidelines that they need the model to adhere to. 2️⃣ Data ingestion: An autonomous alignment workflow begins, ingesting and structuring these principles (e.g. in a hierarchical document knowledge graph) to organize it into structured data that the agentic workflow expects. 3️⃣ Data creation: The agent enters a data generation and refinement pipeline where it iteratively researches, generates, critiques, and refines the understanding of the principles. 4️⃣ Human-in-the-loop: Throughout the process, subject matter experts can iteratively provide feedback on the model's understanding of the principles to refine the generation of synthetic data and maximize accuracy. 5️⃣ The result: High-quality, domain-specific data ready for model fine-tuning 🚀

Errors in foundation models undercut AI performance in production. Hear from our President & CTO Rob Clark on the importance of prioritizing data quality and contestability to deliver trusted AI outcomes.

When trust in AI is mandatory, explainability is mandatory.    Our Chief of AI R&D Stefanos Poulis reveals the questions that enterprise leaders need to ask of their models to build reliable applications.