Kinter
Also known as: Kinter.ai
Agentic AI accountants that autonomously execute the expense side of the financial close, drafting journal entries, running accruals, prepaids, and payroll, and posting straight to NetSuite or QuickBooks with a full audit trail.
Kinter, also written Kinter.ai, is a San Francisco company building AI accountants, an agentic workforce that executes the expense side of the accounting close. It was founded by Gregg Mojica, whose earlier career built integration platforms and developer tools, and the team includes operators from Drip, Target, Goldman Sachs, Twilio, and Zendesk, among them a practicing CPA. Kinter is backed by tier one investors including Andreessen Horowitz, Bain Capital Ventures, and Y Combinator, alongside dozens of career operators and founders. The company frames its work around a structural labor shortage, with more than three hundred thousand accountants and auditors having left the United States workforce since 2019 while most finance teams remain stuck in a ten to fifteen day close. Kinter argues the answer is autonomous execution, not another checklist tool.
Unlike chat based copilots that wait for instructions, Kinter's agents work proactively and continuously through the month. They prepare accruals, identify prepaid expenses, automate payroll entries, reconcile accounts, rebuild tie outs and schedules, apply recognition rules, and draft journal entry proposals for review, matching roughly ninety five percent of transactions and surfacing exceptions in one place. The agents post approved entries straight into NetSuite or QuickBooks Online through a secure connection built by ERP experts, and they create working papers inside Kinter so every step carries its context. Approval is a click, and every action is logged, reviewable, and defensible, with no black boxes. Early customers report up to seventy percent time savings on identifying and managing expenses, and the company has engaged more than six hundred controllers and finance leaders to shape the product.
Kinter sits alongside a wave of AI finance tools but distinguishes itself by having agents that actually perform close tasks rather than assist with them, targeting controllers, VPs of finance, and directors of accounting who want a continuous close without adding headcount. It is a strong fit for finance teams on NetSuite or QuickBooks that want autonomous, auditable execution of expense side work. It is a weaker fit for organizations that need revenue side automation, open choice of the underlying model, or a self hosted deployment, none of which are documented, and for teams not on a supported ERP.
Vendor details
Canonical URL
https://kinter.ai
Category
Enterprise operations agent
Subcategory
AI accountants (financial close)
Funding status
Independent, based in San Francisco, founded by Gregg Mojica (co-founder and CEO), previously a builder of integration platforms and developer tools. The team brings accounting and technology experience from Goldman Sachs, Target, Drip, Twilio, Liferay, and Zendesk, including a practicing CPA. Kinter is backed by tier one investors including Andreessen Horowitz, Bain Capital Ventures, and Y Combinator, along with dozens of career operators and founders. The product launched publicly in mid 2026 with live customers reporting up to seventy percent time savings on expense management.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Kinter connects directly to the general ledger, posting approved journal entries straight into NetSuite or QuickBooks Online through a secure connection built by ERP integration experts. The agents pull source data, rebuild tie outs and schedules, and create working papers inside Kinter for context. Integration centers on the ERP and the close workflow rather than a broad third party connector catalog.
In practice
A finance team is stuck in a ten day close doing manual expense work. Kinter's AI accountants prepare accruals, reconcile accounts, and draft journal entries continuously so the books close faster.
Prepaids and accruals slip through the cracks during a busy month. Kinter identifies them proactively, including items the team missed, and prepares the schedules for review.
Auditors need a clear trail for every entry. Kinter logs every action with working papers and source context, so approved journal entries are reviewable and defensible.
Sources & related URLs
Research sources
Capability coverage
7.0 / 14 capabilities · 50%
| Integrations & Tool CallingPosts approved journal entries directly into NetSuite or QuickBooks Online through a secure connection built by ERP experts, and pulls source data across financial systems, Kinter docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationAgents work continuously through the month to prepare accruals, reconcile accounts, rebuild schedules, and draft entries as an orchestrated close workflow, Kinter docs 2026-07-07 | Full |
| Knowledge Grounding & RAGAgents apply recognition rules and build working papers with context from the company's financial data, though a document knowledge base or retrieval surface is not described, Kinter docs 2026-07-07 | Partial |
| Human Oversight & GuardrailsAgents draft journal entry proposals for review and surface exceptions, and humans approve entries with a click before anything posts, Kinter docs 2026-07-07 | Full |
| Security, Identity & GovernanceEmphasizes a secure ERP connection and defensible, auditable actions, but its own compliance certifications and access governance are not documented, Kinter docs 2026-07-07 | Partial |
| Observability & AuditabilityEvery action is logged, reviewable, and defensible with working papers and source context, providing a complete audit trail, Kinter docs 2026-07-07 | Full |
| Memory & State PersistenceDigital accountants learn on the job and retain working paper context across periods, but a first class persistent memory store is not documented, Kinter docs 2026-07-07 | Partial |
| Deployment & Data ResidencyDelivered as a cloud service connecting to cloud ERPs, with no self hosted, on premise, or residency option documented, Kinter docs 2026-07-07 | Unable to verify |
| Prebuilt Agents, Templates & PacksShips prebuilt task specific accountant agents for accruals, prepaids, payroll, reconciliation, and eliminations, but not a customizable template or pack library, Kinter docs 2026-07-07 | Partial |
| Triggers & Channel CoverageAgents operate proactively and continuously rather than waiting for prompts, though coverage centers on the accounting close workflow, Kinter docs 2026-07-07 | Partial |
| Model Flexibility & RoutingNo customer model choice, routing, or bring your own model is documented, Kinter docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityNo published customer facing API, SDK, or MCP surface for extensibility is documented, Kinter docs 2026-07-07 | Unable to verify |
| Testing, Debugging & OptimizationReports transaction match rates and surfaces exceptions for review, a domain accuracy check rather than a general agent evaluation harness, Kinter docs 2026-07-07 | Partial |
| Browser & Computer UseNo browser or computer use capability is described, Kinter docs 2026-07-07 | Unable to verify |
Pricing
Not public; quoted through sales, positioned to cost less than business process outsourcing
enterprise subscription scaled to finance team and close workload
What is public
No list prices or entry point are published. Kinter positions itself as costing less than business process outsourcing.
Billing mechanics
Presumed enterprise subscription negotiated with sales, believed to scale with team size and close workload.
Cost watchouts
ERP integration and onboarding of the close process may add implementation effort.
Variable cost rationale
Scope scales with the finance team and the volume of the close, so cost can grow with transaction volume and users, though pricing is negotiated rather than metered by usage.
Additional watchouts
Confirm how pricing scales with transaction volume, entities, and users, and how it compares to current outsourcing or headcount cost.
Sales call required
Yes — required for paid access
Free / trial
No public free tier
Key ambiguities
No public anchor for entry price or scope units.
Related vendors
- Akro AI — On premise operational intelligence that automates document heavy…
- Algebra AI — Delivery led provider that builds and runs human governed AI agents…
- Alloy.ai — Commerce intelligence system for consumer brands that unifies four…
- Apaleo — Open, API first hospitality property management platform pivoting…
- Apprentice.io — AI native manufacturing platform for pharma, biotech, and cell and…
- Archimetis — AI operational reasoning system for refineries and heavy industrial…