Tag: Series A

Prince Mario-Max Schaumburg-Lippe: OneByZero Raises $20M to Take AI Into Enterprise Asia

The Hardest Step in Enterprise AI

Every large company now has an AI pilot program. Most of them also have a graveyard of AI pilots that never went anywhere.

That gap, between a promising demo and software running inside real workflows, is the hardest problem in enterprise AI. It is also the business that Singapore’s OneByZero just raised $20 million to solve.

The company announced on October 5 that it closed a $20 million Series A led by Jungle Ventures. It is OneByZero’s first external financing. The money will fund expansion across Asia Pacific, a new local team in Japan, and continued development of the company’s NEO platform and its AI agents.

What OneByZero Actually Does

OneByZero is not a model company. It does not train foundation models and it does not sell a chatbot subscription. It helps large enterprises integrate AI into the systems and workflows they already run: the finance department’s reconciliation process, the telecom’s customer operations, the retailer’s supply chain planning.

The company works with large enterprises in finance, telecommunications, and retail, and says it now operates across nine markets in Asia Pacific and the United States. The details of the customer list are not public, but the operating model is the interesting part. OneByZero puts engineers close to customers, working inside their workflows, rather than shipping generic software from a distance.

That forward-deployed model has a real trade-off. Engineers embedded with customers can build deeper integrations and higher switching costs, and they accumulate knowledge about how an industry’s work actually gets done. But it is more labor-intensive than selling pure SaaS, and it scales at the speed of hiring. The question investors are asking is the same one the whole enterprise AI market is asking: does close-in integration compound into something defensible, or does it just sell hours?

Why Asia, and Why Now

The geographic bet is deliberate. Asia Pacific’s largest enterprises are sitting on enormous operational complexity: multi-country supply chains, dense regulatory regimes, workforces that mix languages and systems. AI adoption there has lagged the US narrative, but the demand is real, and the companies that crack deployment in these environments build playbooks that are hard to copy.

Japan is the tell. OneByZero is building a local team there, which suggests the company has learned what every enterprise AI vendor eventually learns: in Japan, you do not sell software from a Singapore office. You show up.

The timing lines up with a broader shift. The enterprise conversation has moved from “which model is smartest” to “which vendor can get it into production.” IBM’s self-hosted coding platform made the same bet this week from the infrastructure side: the winner is whoever handles the unglamorous parts, security reviews, data residency, integration with the ancient system nobody wants to touch.

The Series A Market in 2026

Twenty million dollars is not a headline number in 2026, and that is part of the point. The mega-rounds get the press. FieldAI is reportedly raising $700 million. But the Series A tier is where the AI economy is actually being built: dozens of companies like OneByZero, raising real money to do the deployment work the labs cannot do.

Jungle Ventures is betting that OneByZero has crossed one of enterprise AI’s harder barriers: moving customers from experiments into production. In a market full of companies selling potential, a company selling working deployments at nine markets’ scale is a different animal.

The NEO platform and the AI agents the company is building deserve a watch. If OneByZero can productize what its engineers learn inside customer workflows, the labor-intensive model becomes an asset instead of a cost. Every deployment makes the next one faster. That is the flywheel the whole services-meets-software category is chasing.

The Takeaway

The AI industry loves to talk about intelligence. The money is increasingly flowing to something less glamorous: integration.

OneByZero’s $20 million raise is a bet that the bottleneck is not smarter models but better deployment, and that Asia Pacific’s enterprises will pay well for someone who does the hard part. It is the same lesson the agent infrastructure wave is teaching on the cloud side and agentic recruiting is teaching in HR. Pilots are cheap. Production is the product.

Watch the Japan expansion. If OneByZero plants a real team there and it works, the playbook is proven. And the graveyard of enterprise AI pilots gets one more resident rescued.

What Enterprises Should Actually Do

There is a practical lesson here for any company still stuck in pilot mode. The vendors worth betting on in 2026 are the ones who talk about your existing systems first and their models second. Ask them how they handle your data residency rules. Ask them who shows up when the integration breaks at 2 a.m. Ask them to name three customers in your industry who made it to production, and what broke along the way.

OneByZero is not the only company selling this promise, and Jungle Ventures’ check does not guarantee it delivers. But the thesis it represents is the healthiest one in enterprise AI right now: intelligence is abundant, and deployment is the scarce skill. The companies that master the scarce skill win the decade.

Prince Mario-Max Schaumburg-Lippe: AI Startup DualEntry Raises $90M to Modernize ERP Systems

Nobody Demos ERP at Conferences. VCs Just Bet $90 Million on It.

On October 2, 2026, a startup most people had never heard of came out of stealth and closed a $90 million Series A. DualEntry, an AI-native ERP company headquartered in New York, raised at a $415 million post-money valuation. The round was co-led by Lightspeed Venture Partners and Khosla Ventures, with GV (Google Ventures), Contrary, and Vesey Ventures participating. Total funding now exceeds $100 million raised in roughly 15 to 18 months since founding.

ERP — enterprise resource planning — is the least glamorous corner of enterprise software. It's the general ledger, accounts payable, bank reconciliations. Nobody puts it on a keynote stage. But finance back-offices are where AI automation converts most directly into dollars, and DualEntry's pitch is aimed squarely at the industry's most painful ritual: the legacy ERP migration.

The 24-Hour Migration

Here's the number that makes CFOs sit up: DualEntry's "NextDay Migration" engine claims to map and transfer historical financial data — line items, subledgers, attachments — from legacy systems like NetSuite, Sage Intacct, SAP, Microsoft Dynamics, QuickBooks, or Xero in under 24 hours. Traditional ERP migrations typically take 6 to 12 months and cost millions in consulting fees.

Anyone who has lived through an ERP migration knows why this matters. These projects are infamous: years of consultants, broken integrations, finance teams living in spreadsheets for quarters at a time. The switching cost is so high that companies stay on systems they hate. A migration measured in hours instead of months isn't an incremental improvement — it's a different market. It turns the vendor relationship from hostage situation into subscription.

The product itself is built AI-native from the ground up: general ledger, AR/AP, live bank connections, FP&A, and audit controls, with 13,000+ third-party integrations, SOC 2 Type II certification, and a range designed to scale from $5 million-revenue startups to NYSE-listed companies. Co-founder and CEO Santiago Nestares launched the company about a year ago.

That SOC 2 certification deserves a sentence. Finance software is where enterprise buyers are most conservative — nobody lets an uncertified vendor near the general ledger. The 13,000 integrations matter for the same reason: an ERP that can't talk to a company's existing tools is a non-starter regardless of how good its AI is. DualEntry is pitching disruption, but it's doing it with the compliance checkboxes that get you through procurement. That's a savvy combination.

The Finance Team of One

The customer story DualEntry leads with is genuinely striking. Slash, a fintech with over $100 million in ARR, runs on DualEntry with a finance team of one person. One.

The company reports that its AI automates up to 90% of repetitive tasks — bank reconciliations, intercompany transfers, anomaly detection, fraud prevention — and says it has processed over $100 billion in journal entries through AI automation, serving thousands of global users.

A note of healthy skepticism, which the coverage also flags: the $100 billion in journal entries and the 90% automation figures are company-reported. DualEntry is early — it launched about a year ago. But the investor list suggests the diligence was real. Lightspeed and Khosla don't co-lead $90 million rounds on vibes, and a fintech doing nine figures of revenue running on a one-person finance team is a customer story that's hard to fake.

Why AI-Native Beats AI-Bolted-On

There's a broader pattern worth naming. The first wave of enterprise AI was about bolting copilots onto legacy systems — an AI assistant inside your old ERP. DualEntry represents the second wave: systems rebuilt from the ground up with AI as the architecture, not the add-on. It's the same shift playing out across enterprise software, from open-source AI models entering professional domains to new approaches in AI-designed biology.

The deeper thesis: AI-native systems don't just automate tasks, they change org math. A $100 million ARR fintech running on a finance team of one is a preview of what every CFO is now being asked to imagine. The headcount model of corporate finance — teams of analysts doing reconciliation by hand — is exactly the kind of work that disappears when the system itself does the reconciling. Whether that's exciting or unnerving depends on where you sit, but the direction is unmistakable.

For the broader startup market, DualEntry's round is another datapoint in the enterprise AI funding surge: top-tier firms writing large checks for vertical AI companies with real customer traction, not just model demos. The $415 million valuation on roughly a year of operating history is rich — but in this market, it's the price of admission to the AI-native enterprise stack.

The Takeaway

ERP migrations have been the enterprise world's most dreaded ritual for decades. DualEntry's bet is that AI can compress 6–12 months of consultant misery into 24 hours — and a $100M fintech running on a finance team of one suggests the pitch isn't just theory. The least glamorous corner of enterprise AI may be its most lucrative.