Iterate.ai

Your customer service representatives navigate multiple different systems during a single customer interaction, creating frustrating delays and inconsistent responses. These context switches add minutes to each call while customers grow increasingly impatient with repetitive questioning and disjointed service experiences. The resulting customer dissatisfaction directly impacts retention, with many customers citing poor service experiences as their reason for switching to competitors. Iterate.ai's Generate platform transforms customer service by providing representatives instant access to intelligent document retrieval across all enterprise knowledge bases through a single interface. Major financial and insurance companies using Generate-powered customer service have reduced call times while simultaneously dramatically increasing first-call resolution rates. Is your customer experience infrastructure built for intelligence that anticipates needs, or is it still forcing representatives to hunt for information across disconnected systems?

The average enterprise processes over thousands pages of contracts, legal documents, and customer communications every week, with most of that analysis happening manually. Traditional OCR solutions extract text but miss critical context, relationships between clauses, and domain-specific insights that drive business value. This document bottleneck slows decision-making, increases compliance risks, and prevents organizations from leveraging their full information assets. Our Generate platform applies advanced language models to document analysis while keeping sensitive materials entirely on-premise, addressing both the intelligence and security requirements. Financial institutions using Generate have reduced contract review time by 80% while increasing accuracy of key clause extraction to 95%, transforming their document workflows. Is your document intelligence strategy creating competitive advantage by unlocking the value in your unstructured data, or is it still relying on manual processes that can't scale?

Enterprise AI projects have a higher failure rate than necessary, with the average initiative taking longer than initially scoped, delivering underwhelming results against substantial investment. Traditional waterfall approaches to AI implementation collapse under the weight of changing requirements, data challenges, and unexpected technical complexity. This implementation gap creates a competitive vulnerability where companies with faster deployment capabilities can rapidly iterate on customer experiences while others remain stuck in development. Our Interplay low-code platform accelerates AI implementation up to 17 times faster than traditional development, allowing enterprises to move from concept to production in weeks. Major retailers and financial institutions have used Interplay to launch complex AI applications in weeks that would have taken 12-18 months using conventional development methods. Has your organization found effective ways to accelerate AI implementation cycles to stay ahead of market demands, or are you still struggling with extended timelines? Learn more about Interplay: https://lnkd.in/gPXSRVxP

Your IT team spends too much of their time maintaining aging monolithic systems that weren't designed for modern integration patterns or AI capabilities. Custom coding each integration point requires specialized knowledge of outdated protocols, creating technical debt that compounds with each new connection. Meanwhile, your competitors leverage API-first architectures to deliver AI-powered experiences that your customers increasingly expect as the standard. Our Interplay platform bridges this gap with over hundreds of pre-built AI nodes and additional integration components designed specifically to connect legacy systems to modern AI capabilities. Enterprise retailers using Interplay have connected decades-old inventory systems to computer vision and predictive analytics, achieving integration in weeks rather than the months or years required with traditional coding approaches. How is your organization tackling the technical debt challenge that stands between your established systems and the AI-powered future your business needs? https://lnkd.in/gPXSRVxP

The AI security paradox intensifies as models become more powerful. They require more sensitive data to deliver business value, yet this increases the risk of exposing that same data. Organizations face an impossible choice between limiting AI capabilities to protect data or accepting increased security risks to leverage advanced analytics. Iterate.ai's Generate platform resolves this tension by providing Intel-optimized on-premise language models that deliver cloud-level intelligence without any data leaving your infrastructure. Healthcare organizations using Generate analyze sensitive patient records to identify treatment opportunities while maintaining complete HIPAA compliance – something impossible with standard cloud-based AI. How is your security team addressing the growing tension between AI capability requirements and the data protection mandates that govern your industry? Learn more about Generate - https://lnkd.in/gYKEM8GY

Enterprise AI adoption requires integrating with existing systems, but many executives (rightfully) worry about exposing sensitive data during this process. Every integration point between legacy systems and modern AI creates potential vulnerabilities in your security architecture. When customer PII, financial records, or proprietary information leaks during digital transformation, the consequences extend beyond regulatory penalties to irreparable brand damage. Low-code integration platforms with built-in security nodes streamline connecting legacy systems with modern AI while maintaining robust data protection. The most successful enterprises implement on-premise deployment options with end-to-end encryption and role-based access controls to ensure AI innovation doesn't compromise security. How is your organization balancing the need for rapid AI integration with maintaining rigorous data security standards?

Don't wait weeks to validate your AI app build out. Watch how our Interplay platform can transform that process from weeks to days. Our Head of Applied Machine Learning, Shomron Jacob, showcases how Iterate.ai's drag-and-drop low-code platform empowers even C-level executives to rapidly prototype and deploy AI applications without extensive technical resources. Interplay allows you to: - Build and deploy AI applications 17x faster than traditional development Industry and cloud agnostic - works across all environments - Currently powers 4,100+ edge deployments with partners like Intel and Qualcomm - Utilizes 75% less computing resources with 20x less memory than competitors - Seamlessly integrates multiple AI models (both public and private) in one workflow See how major enterprises like Ulta Beauty use Interplay to power their product search across millions of items and deploy customer service chatbots with 200+ intents. You can also take your prototype straight to production without recoding - saving both time and resources. Setup takes under 24 hours, and most clients find the pre-built workflows meet 90% of their needs with minimal customization. Check the video and let us know if this can help you: https://lnkd.in/ggQDrUqX

?? Why Enterprises Need Private AI Models As businesses embrace AI, one critical question remains: Who owns your AI’s knowledge? Most AI models are trained on public datasets, exposing companies to data leakage, compliance risks, and limited accuracy. ?? The future of AI is private. That’s why Iterate.ai builds enterprise-grade, proprietary AI models trained only on your internal data. ? Keeps sensitive business data secure behind firewalls ? Tailored AI responses based on your knowledge base ? Ensures compliance with GDPR, SOC2, and HIPAA ? Delivers a competitive advantage with exclusive AI insights ?? Don’t let your AI train on someone else’s data—take control of your AI today. ?? Read the full blog here: https://lnkd.in/g7V5Wh-S #EnterpriseAI #PrivateAI #AIforBusiness #DataSecurity #AIInnovation #IterateAI

Ever watched your customer service team struggle, jumping between five different screens just to answer a single question? Digging through databases, knowledge bases, and CRMs isn’t just frustrating—it creates a poor customer experience. And when customers don’t get answers fast, they start looking elsewhere. Modern customer service equips your team with instant, accurate access to the right information—no matter where it’s stored. Leading enterprises are already using AI to slash response times and boost first-contact resolution rates. The result? Happier customers, more efficient teams, and a healthier bottom line. What’s the biggest roadblock your team faces when retrieving information? https://lnkd.in/grcwVEHr

Businesses spent 2024 reassessing their AI strategies. In 2025, AI is about implementation and scaling. ?? 46% of executives say their companies are expanding AI to optimize processes. ?? 44% are leveraging AI to drive innovation. ?? Only 6% are still experimenting. This is because of Agentic AI. These autonomous AI agents can make decisions, solve problems, and take action—without human input. Businesses that empower employees with these tools will gain a massive competitive edge. According to a recent study, 77% of leaders say they must adopt AI fast to stay competitive, but only 25% believe their infrastructure is ready. This is a critical juncture for enterprises, where early adopters will edge ahead in the new era of business. How is your company using AI this year?