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Kinter

Also known as: Kinter.ai, AI Accountants, Closing Time

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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 builds AI accountants that execute the expense side of the financial close rather than managing a checklist for humans to work through.

Its agents run continuously through the month inside a customer's existing systems: they reconcile bank, cash and balance sheet accounts by pulling data, rebuilding tie outs and surfacing exceptions; prepare accruals for payroll, accounts payable, benefits and expenses; identify prepaid expenses and build the schedules; handle fixed assets, revenue deferrals and amortization by applying recognition rules each period; rebuild allocations and prepare eliminations across intercompany and multi entity structures; run flux and variance analysis; and draft journal entries with evidence attached, matching around 95 percent of transactions and collecting the rest as exceptions in one place.

Agents create working papers in Kinter so each entry carries its context, and they also complete UI driven workflows that require ERP navigation, screenshots and exports. Nothing reaches the general ledger without a human: the agents are read only by default and every ledger affecting action runs through a structured approval workflow, with approval a click away and segregation of duties enforced by role. Kinter connects to NetSuite and QuickBooks over OAuth 2.0 with scoped permissions, to bank accounts through Plaid and to payroll through Finch, never seeing or storing credentials, and posts approved entries back to the system of record.

Every agent execution produces an immutable, exportable audit trail linking source data to the logic applied to the human who approved it, built for SOC 1 and financial statement audits. The platform is SOC 2 Type II and SOC 1 Type 1 certified, GDPR and CCPA compliant and SOX aligned, with SAML SSO, role based access control, IP allowlisting, customer defined retention, AES-256 encryption and airgapped AWS VPCs in the United States, and it never trains on customer data.

Founded by Gregg Mojica in San Francisco with a team including a practicing CPA, Kinter is backed by Andreessen Horowitz, Bain Capital Ventures and Y Combinator, launched publicly in June 2026, and is sold by demo. It does not publish an API, customer chosen models, or a non US hosting option.

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

Automating the expense side of the financial closeAccruals and prepaid expense managementAccount reconciliation and journal entry draftingContinuous close for finance teams

Target customers

Controllers and accounting teamsVPs and directors of financeCompanies on NetSuite or QuickBooksMid market and enterprise finance organizations

Deployment options

Cloud

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.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling Full

Connections to NetSuite and QuickBooks run over OAuth 2.0 with scoped permissions, to bank accounts through Plaid's tokenized infrastructure and to payroll through Finch's unified API; the agents receive only the data needed and post approved journal entries back into the ERP as the system of record. Credentials are never seen or stored by the vendor and each integration can be granted or revoked.

SourceKinter, kinter.ai/product/security and kinter.airead 2026-09-07

Workflow Orchestration Full

Agents run multi step close work end to end across a named checklist: reconciliations pull data, rebuild tie outs, surface exceptions and prepare entries; accruals fetch source data, apply logic, build schedules and draft entries; revenue and amortization rebuild schedules and apply recognition rules each period; intercompany rebuilds allocations, identifies mismatches and prepares eliminations; and journal entry preparation drafts entries, attaches evidence and posts to the ERP on the customer's approval flow. Work runs continuously through the month rather than as a single invoked task, and specialized agents own separate slices of the checklist.

SourceKinter, kinter.airead 2026-09-07

Knowledge Grounding & RAG Partial

Agents ground in the customer's live financial records pulled per run from the ERP, bank and payroll systems, applying recognition rules and the customer's own logic, and they create working papers in Kinter that carry the context for each prepared entry. That is retrieval of source data at execution time and a per period working paper, not a maintained knowledge base; no index, policy library or document knowledge base is described.

SourceKinter, kinter.ai and kinter.ai/product/securityread 2026-09-07

Human Oversight & Guardrails Full

Every write passes through Kinter's own review and approve step. Agents are read only by default, nothing reaches the general ledger without explicit human approval, and any action that would modify the general ledger, such as posting an entry, categorizing a transaction or adjusting an accrual, runs through a structured approval workflow first, with proposed journal entries approved by a click and exceptions surfaced in one place. Approval authority is separated from agent configuration and entry preparation by role.

SourceKinter, kinter.ai/product/security and kinter.airead 2026-09-07

Security, Identity & Governance Full

On compliance, the security page states SOC 2 Type II completed and independently validated across security, availability and confidentiality, SOC 1 Type 1, SOX support, GDPR and CCPA, and says Kinter will undergo annual third party penetration testing as part of its compliance program. For access, it supports SAML SSO with the customer's identity provider, role based access controls with granular permissions over who configures agents, approves entries and views audit logs, segregation of duties enforced through those roles, IP allowlisting, and customer defined data retention with deletion on demand.

SourceKinter, kinter.ai/product/securityread 2026-09-07

Observability & Auditability Full

Every agent execution produces a full audit trail naming the source data referenced, the agent logic applied, the output generated and the approval or rejection, with each prepared journal entry tracing back to the source transaction, the logic that produced it and the human who approved it; the trail is described as immutable and exportable and is built for external auditors in SOC 1 and financial statement audits, alongside audit logs recording every user action, agent execution and data access event. The trail is kept by Kinter itself rather than pulled from the customer's systems.

SourceKinter, kinter.ai/product/securityread 2026-09-07

Memory & State Persistence Not documented

Neither a memory layer with a stated scope and lifetime nor session state is documented. The digital accountants are said to learn on the job, which is learning absorbed into the product, and the working papers, agent configurations, vendor databases and approval history named on the security page are the accounting record itself rather than agent memory.

SourceKinter, kinter.ai and kinter.ai/product/securityread 2026-09-07

Deployment & Data Residency Not documented

The security FAQ states the infrastructure runs on airgapped AWS VPCs with data hosted in the United States, a single disclosed region with nothing for the customer to choose; tenant isolation is logical separation inside those US data centers, which is isolation rather than residency, and no customer environment, self hosted or on premises option and no region selection surface is documented.

SourceKinter, kinter.ai/product/securityread 2026-09-07

Prebuilt Agents, Templates & Packs Full

The homepage presents a named set of task specific AI accountants the customer selects among and puts to work, each with its own product page: Prepaid Expenses, Accruals, Payroll and Fixed Assets, alongside reconciliations, revenue deferrals and amortization, flux and variance analysis, intercompany and multi entity eliminations, and journal entry preparation and posting, each doing its own job when selected.

SourceKinter, kinter.airead 2026-09-07

Triggers & Channel Coverage Partial

As transactions arrive, the agents run proactively and continuously through the month rather than waiting for a prompt, preparing accruals as data lands and preparing entries each period. No customer configured schedule, webhook or inbound queue and no second channel is documented.

SourceKinter, kinter.airead 2026-09-07

Model Flexibility & Routing Not documented

The security FAQ confirms model providers exist, since the no training obligation is said to extend to them, but names none, and the homepage states the AI is run locally and isolated from the internet. No provider is disclosed and no customer or admin choice of model or routing is documented.

SourceKinter, kinter.ai/product/security and kinter.airead 2026-09-07

APIs, SDKs & MCP Extensibility Not documented

Kinter publishes no API, SDK or MCP server for calling its own platform from outside, and no developer surface. The connections named run the other way, Kinter calling NetSuite, QuickBooks, Plaid and Finch.

SourceKinter, kinter.ai/product/security and kinter.airead 2026-09-07

Testing, Debugging & Optimization Not documented

Quality is checked per output. Agents match about 95 percent of transactions and surface exceptions for a reviewer, and the approval workflow gates each entry. No evaluation harness, scored test cases, release gate or optimization loop over a change to the agents is documented, and the security page's vulnerability scanning, code review and planned annual penetration testing are the vendor's own release and security practice.

SourceKinter, kinter.ai and kinter.ai/product/securityread 2026-09-07

Browser & Computer Use Partial

The homepage lists UI driven workflows among the use cases the agents tackle, described as completing workflows that require ERP navigation, screenshots, exports and manual steps, so the agents act inside interfaces Kinter does not control; this sits beside OAuth 2.0 connections to the same ERPs, covering what the API does not. The mechanism is not stated, with no hosted browser, session or virtual machine described.

SourceKinter, kinter.airead 2026-09-07

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact for pricing

What is public

Nothing numeric. The site publishes no pricing page and no entry point, and the only commercial statement is the homepage claim that the digital accountants scale on demand and cost less than BPO.

Billing mechanics

Not disclosed; no unit, tier or rate is published.

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

Quote only. The vendor's cost comparison is to business process outsourcing rather than to a listed alternative, so no figure can be derived from it.

Sales call required

Yes, required for paid access

Free / trial

Get a demo on every route; no free tier or trial published

Lowest paid plan

Not published

Key ambiguities

No public anchor for entry price or scope units.

Missing data

No price, tier, unit or billing basis is published.

Agentic Index verified 2026-09-07

Alternatives to Kinter

The closest documented capability profiles to Kinter among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Lunos7.5 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Docyt7.0 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Maxima AI8.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Triggers & Channel CoverageKinter vs Maxima AI →
  • Nominal7.0 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Pennant Technologies6.0 / 14A lighter documented profile than Kinter
  • Apprentice.io8.5 / 14Adds documented APIs, SDKs & MCP Extensibility and Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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