Emergence AI's CRAFT—Automating the Enterprise Data Pipeline in a Fraction of the Time

Enterprise data infrastructure wasn't built for the pace of today's economy. As organizations scale and data sources multiply, the pipelines that once moved information reliably are now a source of constant friction. Small format changes trigger cascading failures. Custom scripts, hastily patched over time, become brittle under the weight of complexity. And highly paid engineers spend more time firefighting than building anything new. But what if there were a way to fundamentally rethink data workflow automation, eliminating the frailty and reducing developer burden?

Emergence AI, a company based out of New York, recently launched CRAFT, a platform designed to replace fragile, hand-coded data workflows with dynamic, self-improving automation. CRAFT uses a swarm of adaptive agents trained to build, test, and run workflows without human intervention. This approach radically shifts the paradigm from manual intervention to complete automation and streamlines entire data management lifecycles.

The Fragility of Current Data Pipelines

Most organizations still rely on custom scripts developed by specialized teams that are so delicate that even a minor change to a logic layer can trigger system-wide failures and weeks of backlogged operations. Resolving these issues often requires seasoned experts with deep institutional knowledge, long debugging sessions, and coordination across teams just to get systems running again. And as the layers of tooling and logic systems accumulate over time, even the most well-staffed teams find themselves struggling to map the full web of cross-system dependencies.

Keeping these pipelines running also demands constant attention from highly skilled developers and eats up time that could be spent on higher-value projects. And, it doesn't take much to break them. A single API change or new file format from a vendor can trigger cascading failures. The result? Enterprises get trapped in a costly cycle of financial reporting delays, compromised data quality, and stalled product development cycles that rely on real-time information to move forward.

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

Introducing CRAFT: Intelligent Agent Swarms

CRAFT replaces brittle scripts with something fundamentally different: a swarm of evolving autonomous software agents that manage the pipeline from the inside out. Instead of relying on manual logic or centralized control, these agents detect issues, reroute flows, and rebuild workflows without tickets, downtime, or even an engineer in the loop.

If a schema changes or a data source goes dark, the system doesn't freeze. It adapts. Agents self-organize, assign tasks dynamically, and spin up new agents when needed to handle exceptions in real time. CRAFT agents form a living pipeline that evolves as conditions change.

The more it runs, the more resilient it becomes, learning each time CRAFT encounters a disruption to protect the system against future failure. That means fewer breakages, faster recovery, and less time spent firefighting edge cases that used to derail entire workflows.

"Every design partner engagement sharpens the platform," said Nitta. "With each use case, we add a reusable blade to the toolkit."

For teams used to babysitting brittle code, it's a clean break from the past. No more rebuilding pipelines every time the business changes. No more pouring developer hours into maintenance work that never quite holds. With CRAFT, the pipeline becomes something new entirely: teams that move with less cross-functional drag and greater speed.

Realizing Immediate Impact

Extracting actionable insights from data can now be done in minutes, rather than months. By removing the friction of hand-coded logic and manual scripting, teams can bring new systems online with a fraction of the effort. Coordination across engineering, operations, and analytics now improves because the infrastructure layer no longer creates friction at the point of integration. Instead of reacting to breakages, teams move in parallel—shipping faster, aligning more easily, and spending their time building the future, not debugging the past.

For example, 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.

"Previously, by the time manual analysis was complete, the next production batch was underway, limiting timely action," said Eran Rousseau, VP & Fellow of Business Development and Strategic Partnership of NI/Emerson. "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."

This is a fundamental shift in how technical capacity is allocated. And in a climate where time-to-impact is everything, CRAFT is helping enterprises move faster and do their work better.

A Glimpse into the Future of Enterprise Automation

CRAFT's debut is part of a growing shift inside enterprise IT: moving from static infrastructure to autonomous systems that can evolve alongside the business. As data environments grow more fragmented—and the cost of downtime grows steeper—organizations are seeking systems that can make decisions, respond in real time, and reduce the operational burden on technical teams.

"Agentic AI is transforming how software is designed, tested, and scaled, and it calls for a new kind of developer," said Carrol Chang, CEO of Andela—a private marketplace for technical talent—as she explained how the company's partnership with Emergence would provide Andela's engineers with the scaffolding they needed to succeed in the agentic era of engineering.

CRAFT delivers on this promise by embedding intelligence directly into the infrastructure itself. Instead of brittle scripts and constant reactivity, enterprises get adaptive pipelines that move at the speed of real work to minimize failure and accelerate deployment, all with the goal of giving teams the freedom and time to focus on innovation.

As timelines shrink and teams look for leverage, platforms like CRAFT are changing how work gets done. For businesses trying to stay ahead without adding headcount or complexity, adaptive systems like CRAFT are quickly becoming the new baseline for organizations that can't afford delays.