Inside every Fortune 500 company lives a system that no one fully understands anymore. It runs the general ledger, the supply chain, or the payroll for hundreds of thousands of employees. It was implemented more than a decade ago by a consulting team that has long since moved on, then customized, re‑customized, and patched through years of undocumented business change. The architects have since retired, and the operators have learned through experience not to touch what they cannot see. And every quarter as the CFO closes the books, the enterprise quietly depends on this fragile and indispensable machine to hold together one more time. Now imagine telling that CFO it is time to migrate.

This moment has always defined enterprise software, and it has almost always ended the same way. A global system integrator arrives with an army of consultants, a multi‑year roadmap, and a nine‑figure budget. The project starts and then timelines slip, scope creeps, and the original sponsors rotate out. Eventually, if the program survives, the system goes live late and over budget, and the enterprise spends the next decade discovering what it failed to migrate. Some programs never reach the end at all. Lidl’s €500‑million SAP transformation, abandoned after seven years, is an increasingly common pattern. Nearly every CIO has either lived through a version of this story or watched a peer endure one. The lesson they've internalized: approach transformation defensively, not ambitiously.

What makes these programs so difficult is not the software, but the interpretation. ERP migration is the work of reconstructing fifteen years of accumulated and undocumented decisions. It is the work of extracting tribal knowledge from people who left long ago and then reconciling how the business believes it operates with how transactions are actually executed at quarter‑end. For decades, the only "technology" capable of holding that much ambiguous context was a senior consultant operating with partial information and human limits. That constraint has finally broken. AI systems can now hold, reason over, and act on institutional complexity at a scale no individual or team ever could. After decades of resisting software, this category has suddenly become buildable.

Crucially, the technological breakthrough has arrived at the same moment as a hard market deadline. Tens of thousands of enterprises running older generations of ERP systems (most notably SAP) must migrate on fixed timelines. At the same time, the global supply of senior implementation talent simply does not exist to support these transformations at such historic pace or cost. Enterprises are being forced to a different answer and the budgets to fund it are already approved and sitting on CIO roadmaps. Transformation is no longer optional. The question is not if this work happens, but who will do it.

Tessera is our answer. Most companies entering this space are building tools for system integrators. Such tools include copilots, requirements assistants, and overlays that extract marginal efficiency while leaving the underlying model intact. Tessera is different. Tessera is the system integrator itself. The platform connects directly into a customer’s ERP estate, evaluates years of accumulated customization, and executes the migration end‑to‑end. The net result is that Tessera harmonizes a client’s data, remediates the enterprise's legacy code, maps cross‑system dependencies, and safeguards business continuity through cutover. It is multi‑agent by design, governed by default, and is vendor‑agnostic across SAP, Oracle, Salesforce, and Workday. Tessera is already deployed inside Merck and Xerox, with a growing roster of Fortune 500 customers across manufacturing, technology, retail, consumer goods, and utilities. Their enterprise customers are the kind where every program decision is reviewed at the highest levels, and where early partners are reporting transformation timelines compressed from years to weeks, costs cut by more than half, and savings exceeding $100 million a year.

Because Tessera operates as the system integrator rather than a tool sold to one, it can price to outcomes and sell directly into the transformation budgets CIOs are already defending. That creates a fundamentally different commercial model than per‑seat software, and one with a higher ceiling, deeper alignment, and a more durable moat.

The long‑term opportunity is what makes Tessera generational. Every migration produces artifacts that enterprises have never been able to retain: a clean semantic model of how the business actually works, a complete map of system interactions, and a living record of decisions made along the way. These assets do not exist in legacy suites. They exist with whoever runs the transformation. Over time this modernization layer becomes where the truth of the enterprise lives.  That ground truth will first be the harmonized data foundation for AI and analytics, then it will be the governed execution layer that writes back to systems of record, and eventually it will live as the system of record for what the enterprise builds next. Workday did not displace PeopleSoft by building a better PeopleSoft, it rode a forced migration cycle and expanded scope until legacy systems became a maintenance cost the CFO could no longer justify.

Tessera's team is uniquely matched to a problem of this shape. Kabir Nagrecha, Tessera’s CEO and co‑founder, is the youngest‑ever Ph.D. graduate of UC San Diego, completing his doctorate in computer science at twenty. A Meta Research Fellow with prior roles at Meta, Netflix, and Apple, his work has centered on the systems required to run large‑scale AI in production.  He brings the exact discipline this category demands. Ming Chang, Tessera’s COO and co‑founder, is a former SAP director with more than a decade leading global Fortune 500 ERP programs including frontline escalations through SAP’s MaxAttention practice, and he has lived the cutovers Tessera is now compressing. Together, they have assembled a world‑class team of AI researchers and enterprise operators who understand both sides of the transformation equation.

Enterprise leaders are not looking for another tool. They are looking for a counterparty they can hold accountable for outcomes. Tessera shows up that way. In every conversation we’ve had with CIOs around this thesis, the signal has been the same: urgent need, real budgets, and clear intent to deploy.

We are joining Tessera’s oversubscribed $60M Series A alongside Andreessen Horowitz, Foundation Capital and Osage University Partners. We could not be more excited to partner with Kabir, Ming, and the rest of the Tessera team to bring enterprise modernization—and enterprise workflow itself—into the age of AI.