Enterprise AI has the potential to fundamentally transform how your organization gets work done. Getting that to be a reality in the near term? Easier said than done!
We've been relentlessly focused on one question: What does it take to move AI from impressive demos to business-critical infrastructure? The answer isn't a single feature. It's a comprehensive platform evolution that makes AI agents smarter, more capable, and trustworthy enough to scale broadly across every business function.
To that end, let me walk you through the four major themes we’ve recently deployed to production, and the potential impacts for your business transformation.
1. The Assistant evolution: from chat interface to enterprise powerhouse
Remember when "AI assistant" meant a chatbot that could summarize documents? We've moved far beyond that.
Our enhanced Enterprise AI Assistant and new composite app framework represent a fundamental shift in what AI agents can do for your business. This isn't about answering questions—it's about autonomous task completion with the context and knowledge your organization needs.
Our new composite app framework empowers your team to build specialized AI applications that combine multiple agents, data sources, and workflows into unified experiences. Marketing teams are using this to create custom campaign analysis apps. Legal departments are building contract review systems. Operations groups are deploying automated workflow orchestrators.
What makes this different? Knowledge-aware autonomy. These agents understand your business context, access your enterprise data, and complete complex tasks that previously required days, sometimes weeks (or even months!), of human coordination.
With Vertesia, you can work wherever you want, and have custom experiences driven by AI. Our platform's plugin system means you're not locked into our vision of what an AI app should be. Easily build what you need, in a secure and scalable fashion, and utilize where your teams actually work.
2. Making everyone a specialist: how 50+ “Skills” democratize expertise
We’ve built our universal Skills Framework—a system that gives AI agents on-demand access to specialized expertise across dozens of domains.
We have 50+ skills spanning everything from advanced analytics to image processing to specialized industry workflows. These skills aren't simple templates—they're executable code and expert instructions that agents load precisely when needed.
Think about what this means in practice. When a marketing coordinator asks about campaign ROI across channels, the agent automatically activates analytics skills—data extraction, statistical analysis, visualization generation—and delivers sophisticated insights in seconds. No technical knowledge required. No waiting for the data team. No bottlenecks. Immediate insights that help you make better decisions.
The skills we’ve added cover:
- Data science and analytics: Statistical modeling, predictive analytics, cohort analysis
- Image and document processing: Enhancement, extraction, classification
- Financial operations: Complex calculations, report standardization, compliance formatting
- Workflow automation: Multi-step processes, error handling, quality verification
What makes this powerful is the composability. Multiple skills work together seamlessly. An agent might use image enhancement skills to clean up a scanned financial document, data extraction skills to pull the numbers, calculation skills to verify the math, and reporting skills to generate a standardized P&L statement—all in one fluid workflow.
The result? We're seeing marketing coordinators perform attribution analysis that used to require data scientists. Operations managers building predictive models without coding. Finance teams processing complex documents with accuracy that exceeds manual review.
3. Tools that scale intelligence: 50+ new capabilities for real work
Skills give agents expertise. Tools give them hands, so they can actually do the work.
This quarter, we've added more than 50 new tools that extend what agents can do—particularly in data science, database management, and analytics. These tools give agents the practical capabilities they need to handle enterprise-grade work.
The expanded toolkit includes:
- Advanced database operations: Complex queries, schema management, performance optimization
- Interactive dashboard creation: Automated visualization generation with cross-filtering and real-time updates
- Data pipeline management: ETL workflows, data quality verification, automated integration
- Computational environments: Secure code execution, package management, artifact handling
- Third-party integrations: MCP (Model Context Protocol) support enables seamless integration with external tools and services, dramatically expanding what your agents can do
When you combine expertise, and the capabilities to do the work, organizations are putting these agents into production and eliminating costly, repetitive, manual work.
4. Analytical decision making without the overhead: agentic database management
The real bottleneck in most analytics workflows isn't asking the right questions—it's the days or weeks of data preparation, tool configuration, and technical coordination required to get answers.
Our agentic database management capabilities eliminate that friction entirely.
Agents now handle the full analytics workflow autonomously:
- Ingesting data from multiple sources (CSV, Excel, JSON, APIs)
- Automatically inferring schemas and optimizing data models
- Generating and executing complex SQL from natural language
- Creating interactive visualizations with appropriate chart types
- Setting up monitoring and alerts for ongoing tracking
The underlying technology—built on a robust analytical database with integrated vector and full-text search—means you get data warehouse performance without data warehouse complexity. Version control for all data and schema changes. Complete audit trails. And all of it accessible through conversational interfaces.
Marketing teams are using this for multi-channel attribution that used to take weeks of analyst time. Operations groups are monitoring KPIs with automated anomaly detection and smart alerting. Business professionals are asking questions in plain language and getting sophisticated analysis without ever thinking about databases, SQL, or data pipelines.
What this new release means for your business: from AI initiative to business transformation
It’s Q2 of 2026. You don't need more AI experiments. You need AI that handles real work, at scale, with reliability your business can depend on.
Our latest product release represents our commitment to that vision. We're building the infrastructure that lets organizations trust AI with mission-critical functions—the analysis that drives budget decisions, the insights that inform strategy, the operational workflows that can't afford failures. We are building the foundation for what your organization will build next.
So, what are you going to ask your agents to do first?
Learn more
Want to explore specific capabilities?
📊 Revolutionizing Marketing Analytics with Agentic Database Management
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- See how Fortune 500 CMOs are replacing their entire BI stack
🎯 How AI Skills Turn Everyone into an Analytics Powerhouse
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- The technical architecture that makes democratization possible
🧠 The Evolution of AI: Skills Framework for Cross-Model Expertise
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- Deep dive into our modular capability architecture