Help content managers and business leaders turn operations into a competitive edge with AI-driven processing, semantic understanding, and scalable distribution, saving time and effort.
Organizations across media, eCommerce, publishing, marketing, and genealogy face manual processes, fragmented data, and missed real-time opportunities.
Manual processing of earnings reports (45-60 min). Analyst burnout. Missed publishing windows. Inconsistent quality.
Content fragmented across CMS, S3, SharePoint, ERPs. 23 languages. Real-time traffic data integration missing.
Multi-platform sentiment analysis. Multi-lingual, multimodal content. Data scattered, insights delayed.
Product content scattered across legacy systems with no unified schema
Different APIs block semantic matching.
ML models cannot understand fragmented data relationships.
Real-time syndication requires integrated context.
Our integration-first approach: build data foundation on existing platforms. Layer 0 uses iBEAM to reduce 12-18 months to 90 days.
Integrated foundations service multiple applications, reducing time-to-value while maximizing reusability.
Each content challenge handled as a separate project with months of work and no shared infrastructure.
Build unified foundation serving processing, syndication, insights, and more. Deploy first capability in 12-16 weeks, then expand rapidly.
Our AI agent orchestration platform with 50+ pre-built agents demonstrates proven effectiveness, inspiring confidence in your team. Accelerated deployment means your team sees results quickly.
Accelerated with iBEAM: Data preparation foundation reduced from 12-18 months to 90 days, with 75% effort reduction.
The same foundations adapts to these and many other content challenges:
Historical Document Processing & Record Linking (Genealogy)
Content Personalization & Dynamic Recommendations
Digital Publishing Operations & Workflow Automation
Marketing Content Optimization & Performance Analytics
Multi-Channel Content Distribution Management
Automated Content Categorization & Metadata Tagging
Content Compliance & Governance Automation
AMulti-Language Content Operations
Seamless integration with existing content and data platforms ensures adoption without rework.
Integrate content sources, normalize schemas, deploy vector embeddings.
OCR, NER, and entity extraction pipelines implemented and tested.
Topic modeling, summarization, cross-content search deployed.
Recommendation, multichannel syndication, and real-time adaptation live.