AI-Native ERP Systems: Rillet, DualEntry & Rivals (2026)

AI-Native ERP Systems: The New Generation, Independently Reviewed

AI-native ERP systems are financial platforms built around large language models from their first line of code — led by Rillet, DualEntry, Campfire, and Light — that promise dramatically less manual accounting work than the incumbent mid-market suites they target, above all NetSuite and Sage Intacct. Venture investors have put approaching half a billion dollars into the category in just over a year, and "switch off NetSuite" is the literal sales pitch. This guide profiles each credible vendor with verified funding, scope, and customers, explains what these products genuinely do and don't do yet, and gives a straight answer to the question that matters: who should consider one, and who shouldn't.

Updated July 2026. ERP Research is independent and vendor-neutral — no vendor pays for placement or ranking.

The category is young enough that most coverage is either venture-press enthusiasm or incumbent FUD. Neither helps a controller deciding whether a two-year-old GL can carry their company through an audit. We have held these profiles to the same standard as the rest of our research: specifics are sourced, company claims are labelled as claims, and the limitations section is as load-bearing as the praise.

What Is an AI-Native ERP?

An AI-native ERP is a business system designed around artificial intelligence from the outset — the automation is the architecture, not a feature release. In practice today that means a modern general ledger where AI drafts journal entries, reconciles accounts, applies revenue recognition, and accelerates the close, with human accountants reviewing rather than keying.

That definition carries two honest qualifications. First, today's AI-native vendors are financials-first: general ledger, revenue recognition, billing, AP/AR, consolidation. None yet offers the inventory, manufacturing, or supply-chain depth of a full suite — so "AI-native ERP" currently means "AI-native accounting ERP" (one operations-first exception, Doss, is profiled below). Second, the incumbents are not standing still: every major vendor now ships embedded copilots and agents, as we cover in our AI in ERP guide. The real distinction is architectural — automation-first design versus AI layered onto a form-based suite — and it shows up most in how much manual work the accounting team still does.

At a Glance: The AI-Native ERP Landscape (July 2026)

Adjacent players worth knowing: Numeric ($51M Series B led by IVP, Nov 2025) automates close management on top of your existing ERP rather than replacing it; Puzzle (~$50M raised) is an AI-native ledger for the startup/QuickBooks end of the market; Truewind layers AI close automation onto Sage Intacct. We have excluded erp.ai from the comparison — despite the domain, public evidence that it ships a general ledger is lacking.

Vendor Profiles

Rillet

The category's bellwether. Founded by ex-N26 US CEO Nicolas Kopp, Rillet launched publicly in 2024 and raised a $25M Series A led by Sequoia (May 2025) followed ten weeks later by a $70M Series B co-led by Andreessen Horowitz and ICONIQ (announcement), with a reported — not confirmed — valuation around $500M. It claimed 200+ customers at the Series B.

The product is an AI-native general ledger aimed at mid-market companies, strongest for SaaS and subscription businesses: ASC 606 revenue recognition, billing, AR/AP, and multi-entity consolidation with AI-drafted journals and automated reconciliation. Publicised customer proof points include Postscript closing its books in three days and AI startup Windsurf running finance with a two-person team (company-supplied examples). Rillet does not attempt inventory or operations — it partners with Doss for that — and pricing is complexity-based rather than per-seat, with third-party procurement benchmarks reporting a typical range around $20,000–35,000 per year (reported figures, not a vendor price list).

DualEntry

The fastest-funded entrant: founded in 2024, it emerged from stealth in October 2025 with a $90M Series A co-led by Lightspeed and Khosla Ventures at a $415M valuation (coverage). Its signature wedge is migration: NextDay Migration uses AI to map and move a company's historical financials from a legacy system inside 24 hours — a direct attack on the months-long implementations that keep unhappy customers on their incumbent ERP. The company claims automation of up to 90% of routine finance tasks (a company claim) and targets mid-market through pre-IPO finance teams. Pricing is tiered by transactions, users, and features, without published amounts; named early customers include fintech Slash.

Campfire

The Silicon Valley favourite. Founded 2023 by John Glasgow, a Y Combinator alum, Campfire raised a $35M Series A led by Accel in June 2025 — TechCrunch's coverage was headlined by how many startups it was winning from NetSuite — and a $65M Series B co-led by Accel and Ribbit only months later. The customer list skews to fast-growing technology companies: Replit, Decagon, PostHog, and TwelveLabs among the named accounts, plus a first public-company customer.

Scope is a finance suite on one system: GL, revenue automation, close management, billing, treasury, and conversational AI reporting. Pricing is custom-quoted by size and modules rather than published.

Light

The European entrant. Founded 2022 in Copenhagen, Light raised a $30M Series A led by Balderton (September 2025, $43M total) to build what it calls agentic accounting for multi-entity global companies — GL, AP/AR, expenses, spend, revenue recognition, global bill pay, consolidation, and multibook accounting, with named agents handling processes such as bill intake. Its claims of processing speed and finance-ops time savings are company-supplied. For European multi-entity groups it is the most directly relevant of the cohort, and it is expanding into the US.

Everest Systems

The heavyweight wildcard. Built by former SAP executives — co-CEO Franz Färber was a principal architect of SAP HANA — Everest came out of stealth in November 2024 with $140M from Sutter Hill Ventures, Altimeter, Redpoint, and D1 Capital (announcement). Its ambition is the largest in the category: not a GL replacement but a full "business operating system" for SaaS companies — subscription accounting, billing, cloud-cost management, HR, and generative-AI custom extensions. It is also the least proven commercially: publicly named customers are scarce, so treat it as a vendor to watch rather than a shortlist default.

Doss (the operations-first exception)

Doss attacks the other half of the problem. Rather than the ledger, it rebuilds the operational core — inventory, procurement, sales orders, warehousing, production planning — for consumer and physical-goods brands in the $20M–$250M range, and explicitly partners with Rillet, Campfire, and QuickBooks as the accounting layer rather than competing with them (TechCrunch). It raised an $18M Series A led by Theory Ventures (April 2025) and a $55M Series B co-led by Madrona and Premji Invest (March 2026). For a products business drawn to the AI-native pitch, the emerging pattern is a pairing — an AI-native GL plus Doss — which is a very different proposition, in integration burden and vendor risk, from one suite.

The Honest Limitations

Every vendor above is younger than the audit history of the companies they court. Before shortlisting, weigh:

• Functional breadth. No AI-native vendor matches the operational scope of NetSuite, Dynamics 365, or Acumatica. If your ERP runs inventory, manufacturing, or complex projects, the AI-natives are not yet a like-for-like alternative — at best a GL paired with an operations platform.
• Vendor risk. Venture-funded, pre-profitability companies can be acquired, repriced, or shut down. Ask about escrow, data export, and what happens to your ledger if the company's trajectory changes.
• Ecosystem depth. The incumbents have decades of accountants, auditors, implementation partners, and integrations. The AI-natives have small teams and short partner lists; your auditors may be meeting the product for the first time.
• Claims versus evidence. Three-day closes and 90% automation are company-supplied figures from favourable deployments. Real results depend on your entity structure, data quality, and process complexity — validate against a reference customer that looks like you.
• The incumbents are responding. As our NetSuite AI and SAP Joule guides detail, the established vendors are shipping agents into products that already have the breadth. The AI-natives' automation lead is real but not permanent.

The determinism objection

The most-voted community criticism of the category deserves its own answer: accounting is deterministic — debits equal credits and every number has exactly one right answer — while generative AI is probabilistic. The credible AI-native vendors do not dispute this; their architecture answers it. The LLM drafts — journal entries, reconciliation matches, coding suggestions — while posting happens through deterministic, rule-validated paths with human approval gates and an immutable audit trail. AI proposes; validated code and accountants post. When evaluating, probe exactly this boundary: which actions can the system take without review, how are AI drafts validated before posting, and can the approval thresholds be tightened by account or amount.

Which Should You Choose?

Scenario-based, as ever:

• SaaS or subscription company on QuickBooks hitting its limits, or unhappy on NetSuite/Sage Intacct for financials only — the AI-native shortlist is genuinely worth running: Rillet and Campfire for SaaS-pattern businesses, DualEntry if migration pain is the blocker, Light for European multi-entity groups. Insist on audit-readiness evidence and reference customers at your scale.
• Products business (inventory, orders, fulfilment) — an AI-native GL alone cannot run you. Either evaluate the Doss-plus-GL pairing with eyes open about integration ownership, or stay with the established mid-market suites and pressure-test their AI (NetSuite, Acumatica, Dynamics).
• Manufacturer or complex multi-national — remain in incumbent territory: the evaluation is SAP, Oracle, Microsoft, Infor, and peers, judged partly on their AI. See our AI in ERP guide for that comparison.
• Any scenario — run the AI claims through the same discipline as any ERP selection: your data in the demo, named references, audit trail and governance in writing, exit terms understood.

Frequently Asked Questions

What is the best AI-native ERP?

There is no single leader yet. Rillet has the most customers and funding pedigree in the mid-market GL space, Campfire dominates the startup-to-growth segment, DualEntry differentiates on 24-hour AI migration, and Light leads for European multi-entity groups. The right answer depends on your size, geography, and revenue model — and for many companies the honest answer is still an established suite.

Is Rillet better than NetSuite?

They are different bets. Rillet automates core accounting more deeply — AI journals, automated reconciliation, faster closes — while NetSuite offers vastly broader functionality (inventory, orders, projects, an ecosystem built over decades) plus its own expanding AI capabilities. Financials-led SaaS companies are Rillet's best case; operationally complex businesses still need what NetSuite covers.

How much does an AI-native ERP cost?

Most vendors quote custom subscriptions rather than publishing prices. For orientation, third-party procurement data has reported typical Rillet contracts around $20,000–35,000 per year, and DualEntry advertises no implementation fee with tiered subscription pricing. Total cost comparisons should include migration effort — historically the largest hidden cost of switching ERP.

Are AI-native ERPs safe for audited companies?

They are being used by venture-backed companies through audits today, and at least one vendor has a public-company customer. But ecosystem familiarity is thinner than with incumbent systems, so put audit-readiness at the centre of evaluation: immutable audit trails, reviewer approval workflows on AI-drafted entries, SOC reports, and a reference customer that has completed an audit at your scale.

Can an AI-native ERP handle inventory and manufacturing?

Mostly not yet. The funded AI-native vendors are financials-first; none offers manufacturing depth comparable to the established suites. The exception path is pairing an AI-native ledger with an operations-first platform like Doss, which explicitly integrates with Rillet and Campfire — workable for consumer brands, but it makes you the integrator of record.

Related Resources

• AI in ERP: the 2026 guide
• NetSuite AI capabilities
• SAP Joule explained
• NetSuite ERP overview
• NetSuite alternatives
• Sage Intacct overview
• Cloud ERP guide
• ERP selection fast track
• ERP systems list