Emergence AI announced the launch of CRAFT, the world's first natural language, self-serve platform designed to modernize one of enterprise IT's most costly and persistent challenges: the outdated, labor intensive data pipeline - an area representing over $200 billion in global spend. CRAFT empowers enterprise users - from analysts to executives, regardless of technical background - to turn business goals into intelligent, self-verifying, multi-agent systems - fast. The result: faster understanding of key metrics, greater productivity, and a radical shift in how enterprises execute data-driven work.  

What once took weeks or months of effort by teams of engineers - manually coding ETLs, migrating schemas, cleaning datasets, stitching together tools, and building ML models to bridge gaps across the data pipeline in order to extract actionable insights - can now happen in minutes. CRAFT empowers business users to describe their goals in plain English - and deploy a swarm of specialized agents to automatically build, test, and run the necessary workflows. CRAFT's autonomous agents operate across the entire data pipeline, reducing the need for deep technical skills and filling critical gaps caused by the global shortage of data scientists and engineers. A recent report from the United States Data Science Institute highlighted that the demand for data scientists in 2026 will be over by 50% more than the supply in the US. 

While CRAFT goes far beyond basic RPA-style automations, it doesn't dismiss them - in fact, it makes them radically easier. If you're automating across multiple enterprise systems to build RPA-style workflows, CRAFT's Agents Creating Agents (ACA) system enables you to do so effortlessly, without writing a single line of code. And for teams ready to go further, CRAFT also serves as a launchpad for more intelligent, adaptive, agentic systems - capable of reasoning, self-improvement, and domain-specific execution. In doing so, CRAFT bridges the gap between task automation and truly autonomous enterprise workflows.  

Working with design partners across sectors like semiconductors, oil and gas, healthcare, telecom, and financial services, CRAFT is already enabling teams to dramatically reduce manual work, accelerate analytics, and deliver outcomes at the speed of business. 

"CRAFT is a launchpad for enterprises to build truly agentic systems," said Satya Nitta, Co-Founder and CEO of Emergence AI. "Using just plain English, you get dynamic, self-verifying agent workflows - no code, no drag-and-drop templates, just outcomes. But that's only the beginning. CRAFT also introduces advanced planning and reasoning, self-improvement, and long-term memory modules - pushing the boundaries of what intelligent systems can do. It's a transformative shift that accelerates time to value and moves enterprises from reactive analytics to continuous, AI-led execution." 

"CRAFT brings the intelligence and flexibility needed to compress weeks of work into minutes," added Nitta. "Enterprises can now handle machine-scale data faster, more efficiently, and at significantly lower cost - achieving productivity gains that once required entire teams. Furthermore, this approach transforms billable hours into reusable software - bending the enterprise cost curve and freeing integrators to pursue higher-margin transformation work." 

"CRAFT also marks a new category in enterprise automation: Agent Crafting," Nitta said. "This isn't just about building agents - it's full lifecycle management. Purpose-built agent swarms can now code, test, orchestrate, and self-govern - replacing brittle scripts with intelligent systems that adapt in real time." 

Emergence is partnering with NI/Emerson to bring CRAFT driven data analysis on hundreds of gigabytes of data to improve chip yield for semiconductor companies. 

Eran Rousseau, VP & Fellow of Business Development and Strategic Partnerships of NI/Emerson, said, "Previously, by the time manual analysis was complete, the next production batch was underway, limiting timely action. With CRAFT, we gain real-time insights aligned with complex test workflows, enabling smart automation to improve yields and detect issues quickly. Integrated with NI's O+ solution, CRAFT AI generates insights that translate into immediate actions, allowing customers to focus on solving critical challenges rather than on lengthy reports. This represents the future of semiconductor operations." 

Intuitive Interface for Powerful Multi-Agent Workflows 

At the heart of CRAFT is a user interface that blends intuitive design with technical depth - setting it apart from static dashboards and rigid templates offered by many AI enterprise platforms. Users can create projects, define workflows, and generate fully functional agents using natural language - no coding or canned drag and drop blocks required. CRAFT's AI agents interpret natural language prompts, analyze existing codebases, and generate high-quality, context-aware agents tailored to specific requirements.  

Powering CRAFT's unique approach is Agents Creating Agents (ACA), a novel system Emergence demonstrated earlier this year, where agents dynamically build and improve other agents in real time, enabling complex multi-agent workflows with minimal human input. By enabling the creation of agent-based tools and connectors, the platform compresses design time - accelerating deployment, streamlining cross-system data flows, and enabling faster automation and insights across fragmented enterprise systems-all with less overhead. 

Inside CRAFT: 

• Create - Quickly build with native or custom agents using natural language - no coding required. Integrate with your tools, data, and LLMs to deploy agents directly from conversation.
• Remember - CRAFT retains memory across sessions and workflows, enabling agents to learn, adapt, and stay context-aware over time.
• Assemble - Design workflows manually or let agents plan and execute dynamically. Leverage the Agent Registry - a central directory of all available agents (CRAFT-native, enterprise-created, and third-party) - to reuse and scale automation across projects. Includes starter kits, multi-agent support, and live/offline execution views.
• Fine-Tune - Customize agent behavior, edit code, or let agents self-improve via feedback and self-play - blending no-code simplicity with developer control.
• Trust - Deploy flexibly across on-prem, VPC, or cloud-native environments with full control over privacy, scaling, and infrastructure. Enterprise-grade governance with SOC 2, GDPR, audit logging, role-based access, and runtime safeguards. Full transparency, privacy, and human-in-the-loop oversight built in.

"Enterprise constraints - regulatory, structural, procedural - are no longer blockers for adopting AI; they're scaffolds for building more intelligent agents," added Nitta. "With CRAFT, these constraints become the backbone of agents that learn faster, verify better, and adapt smarter."  

Target Industries and Use Cases

CRAFT is purpose-built to supercharge operational efficiency - especially where data is often spread across multiple repositories, both legacy and modern, and where the sheer volume, velocity, and variability of data make it extremely difficult to analyze in real time to support rapid operational decision-making. This includes financial services, e-commerce, semiconductors, oil and gas, supply chain and logistics, SaaS and technology providers, and data and research firms. In particular, CRAFT is built for enterprises that require:  

• Complex workflows involving multiple coordinated agents
• Rapid adaptation to evolving business conditions
• Cross-system orchestration and real-time data flows
• Integration of siloed tools and processes across teams and platforms
• Scaling of workflows across functions without engineering bottlenecks

 Emergence also sees a bold future for CRAFT in professional IT services and staff augmentation. As these firms face growing pressure to compete with AI-native companies, CRAFT's ambition is to evolve into a force multiplier - driving dramatic productivity gains and fundamentally shifting the services delivery paradigm. While that transformation is still unfolding, CRAFT lays the groundwork for a new model of scalable, agent-powered service execution-enabling firms to reinvent their offerings, accelerate delivery timelines, and stay competitive in an AI-driven market. 

Early Impact

CRAFT is already delivering transformative results for design partners by conducting tasks such as writing and verify ETLs, migrating schemas with zero downtime, querying operational stores like MongoDB, and spinning up ML pipelines and summarizing the output.  

• Semiconductor fabrication: Identified millions of dollars in savings per week through intelligent data-driven insights
• Global telecommunications leader: Achieved a 70% reduction in data discovery and governance effort, accelerating compliance and innovation
• 150-million-member online forum: Reduced 60 million unsafe images per month through AI agent deployment, enhancing safety and user experience

"Every design partner engagement sharpens the platform," added Nitta. "With each use case, we add a reusable blade to the toolkit - solidifying CRAFT as a purpose-built foundation for domain-specific agentic systems and repeatable solutions, creating a sustainable moat against generic automation platforms." 

Emergence AI also announced today an industry defining partnership with Andela, one of the world's largest private marketplaces for technical talent, to train software engineers in the next generation of multi-agent system technologies for implementation across enterprises. 

Carrol Chang, CEO of Andela, said, "Agentic AI is transforming how software is designed, tested, and scaled, and it calls for a new kind of developer. Our partnership with Emergence will empower Andela engineers to build the skills needed to thrive in the next chapter: steering intelligent agents, designing resilient systems, and working creatively alongside AI. Critically, this includes mastering data-centric workflow, from integrating dynamic data sources to ensuring data integrity and governance, which are foundational to modern enterprise applications. It's about preparing talent to lead the future, not just adapt to it." 

Availability and Pricing

CRAFT is currently available in private preview as part of a phased rollout. The platform will offer three tiers: 

• Free - ideal for individual experimentation
• Pro - cost-based tier with expanded capabilities
• Enterprise - custom pricing with dedicated infrastructure, governance, and integrations

Pricing for Pro and Enterprise tiers will follow real adoption, as Emergence prioritizes access and learning. 

"This is enterprise AI, reimagined," added Nitta. "With CRAFT, enterprise leaders can finally interact with AI the way they interact with their teams - setting goals, refining outcomes, and scaling impact. We're starting by automating one of the most painful and expensive challenges in IT: the enterprise data pipeline. And we envision a future where functional specialists - not just software developers - become the architects of intelligent systems. CRAFT lowers the barrier to entry while raising the ceiling of what's possible - turning business intent directly into executable agent workflows."