8-12 day close
Month-end drags for days while staff hand-match exceptions and reconcile statements line by line.
GPU-accelerated finance AI
Owned models that close the books.
Closora is a vertically-integrated, GPU-accelerated finance-operations engine. Fine-tuned GAAP reasoning, an independent verifier, and GPU-served extraction — trained on proprietary close-cycle data — replace 15-40 FTEs and cut month-end close from 8-12 days to two.
Deployed at enterprise finance teams
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The problem
Finance ops is the last great manual workflow
A $500M company employs 15-40 people to process invoices, match POs, reconcile banks, and chase A/R. The work is rule-based, repetitive, and high-error — and existing tools automate barely a third of it.
High error, low leverage
Manual coding and matching produce errors that compound with company size and legacy. No intelligence compounds.
$50B spent on headcount
The cost lives in salaries, not software. Closora is priced against that line — ROI is measured in FTEs returned.
Architecture
Vertically-integrated, GPU-accelerated
Not an API wrapper. Closora owns the models, owns the inference, and compounds proprietary data every cycle. GPUs are a hard, continuous dependency.
// Closora inference pipeline
SOURCES
ERP (NetSuite/SAP) · Banks · Email · Document inboxes
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GPU-SERVED EXTRACTION
Docula Layout-aware document extraction · TensorRT accelerated vision
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REASONING + VERIFICATION
Ledgr Fine-tuned GAAP model · Verifier Independent failure-mode model · Served via Triton/NIM + TensorRT-LLM
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AGENT ACTIONS
Planner → Executor → Verifier → Writer
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TRAINING + SIMULATION
NeMo + DGX Cloud continuous fine-tune · Omniverse ERP digital twin RL
Products
Five GPU-accelerated products, one autonomous function
Each product owns its intelligence. Fine-tuned, self-hosted, verifier-gated. No rented models, no API dependency.
Ledgr
Fine-tuned GAAP-reasoning model and independent verifier — trained on proprietary close-cycle corpus via NeMo on DGX Cloud.
View product →
Docula
GPU-served, layout-aware extraction for invoices, POs, and remittances. Owns OCR — no third-party dependency.
View product →
Vocora
Realtime voice collections agent powered by NVIDIA Riva. Sub-300ms turn-taking, VPC-deployable, no per-minute tax.
View product →
Twinn
ERP digital twin where agents train via RL on synthetic + replayed close cycles before touching a real ledger.
View product →
Reconn
GPU-accelerated matching that reconciles millions of transactions in minutes. Accelerated embeddings + reranking.
View product →GPU utilization
Seven workloads that require GPU acceleration
GPUs are not optional. They are a hard, continuous dependency across training, inference, extraction, voice, simulation, and retrieval.
Technology stack
Built on the NVIDIA AI platform
Every layer of Closora's intelligence runs on NVIDIA infrastructure — from training to inference to simulation.
NeMo + DGX Cloud
Fine-tune GAAP-reasoning and verifier models. DPO/RLHF from controller overrides. Continuous alignment as data compounds.
TensorRT-LLM + Triton/NIM
Self-hosted high-volume inference. Distilled task models for throughput. Converts inference from opex to GPU-served margin lever.
Riva ASR/TTS
Sub-300ms turn-taking for AR collections. VPC/on-prem deployable. No per-minute third-party voice tax.
TensorRT Vision
Layout-aware invoice/PO/remittance parsing on GPU. Owns extraction as both a moat and a cost win.
Omniverse / Isaac-class
ERP digital twin for RL training. Deterministic, replayable sim for safe agent deployment. Regression-tested before production.
NeMo Retriever + Nemotron
Permission-aware RAG over contracts and vendor data. Accelerated embeddings with ACL filtering at enterprise scale.
Agent pipeline
Plan · Execute · Verify · Write
Every action passes through an independent verifier model before it touches the ledger. The verifier is the hardest piece to replicate — and the direct driver of straight-through processing.
Connect your stack
Closora links to NetSuite/SAP, banks, email, and document inboxes. Read-only first, in shadow mode. GPU extraction begins immediately.
Models do the work
Fine-tuned agents ingest invoices, run 3-way match, resolve exceptions, place calls via Riva, and reconcile — all on self-hosted GPU inference.
Verifier gates everything
An independent verifier model — trained specifically on trust-eroding failure modes — checks every action before it writes. Self-consistency voting on critical steps.
Data compounds the moat
Every run emits supervised + preference pairs. Monthly fine-tune/DPO cycles. Higher STP, deeper lock-in, wider moat — GPU-bound and compounding.
Benchmarks
Numbers from the Close-Cycle Exception Benchmark
0%
Straight-through processing
0d
Average close time
0%
Finance FTEs returned
0x
ACV vs. seat-based SaaS
Data flywheel
Every workflow run compounds the moat
Closora's proprietary close-cycle dataset is raw material competitors cannot buy. The flywheel is mechanized: label → fine-tune → eval → deploy — monthly, GPU-bound.
Proprietary corpus
Matched invoices, resolved exceptions, controller overrides, collections outcomes — labeled by the act of doing the work.
Continuous training
Monthly DPO/RLHF from controller overrides and thumbs-up/down. GPU-bound fine-tuning as data compounds. Models improve every cycle.
Simulation hardening
Synthetic adversarial docs and edge-case GAAP scenarios generated in the digital twin. Agents regression-tested before production.
Why now
Four shifts converged in the last 12 months
Reasoning models handle GAAP exceptions
LLMs now handle complex accounting logic reliably enough to trust behind a verifier. Fine-tuning makes them domain-expert.
Realtime voice is indistinguishable
Sub-300ms voice agents handle vendor calls indistinguishably from a human. Riva makes this VPC-deployable and compliant.
Open ERP APIs are finally usable
NetSuite SuiteCloud and SAP S/4 RAP are finally usable for deep, two-way automation. The integration moat is plantable.
Owning models is economically rational
Open-weight models + efficient GPU serving make owning models a margin lever, not a cost center. 18-month window to plant the category flag.
Closora closed our books in two days and our auditor signed off without a single follow-up. The verifier caught three exceptions our team missed.
Controller, Vertex Foods
Built for the controller's P&L
Every agent is reliable, auditable, and aligned to the close. Priced against labor replaced — not seats sold. ROI maps directly to headcount freed.
Read customer stories →Deployment
SaaS to air-gapped. Your compliance, your way.
Cloud SaaS
Multi-tenant, SOC 2, fastest time-to-value.
VPC / BYOC
Single-tenant in your cloud. Data never leaves your perimeter.
On-Premises
Full on-prem with NVIDIA AI Enterprise. FedRAMP, GxP packs.
Jetson / Edge
Distilled models on Jetson for defense, healthcare, and regulated finance.
Pricing
Priced against labor replaced
Not seats. Not tokens. ROI maps directly to your headcount line — 5-20x SaaS ACVs, 130-160% net retention.
$2k-$10k /mo
Mid-market teams getting their first agents live.
- Unlimited agents
- GPU-served inference
- SSO + audit log
- Shadow-mode onboarding
Custom
Multi-entity, regulated, VPC/air-gapped.
- Private fine-tuned models
- VPC / on-prem / air-gapped
- Dedicated FDE
- Compliance packs (FedRAMP, GxP)
50% list 60 days
Prove it on your books before you commit.
- Paid 60-day pilot
- Parallel close comparison
- Benchmark metrics
- Converts to annual
FAQ
Questions controllers ask first
No. Every action passes an independent verifier model — trained specifically on trust-eroding failure modes — and your policy gates. You choose where humans sign off.
No. Closora owns its models — fine-tuned on proprietary data and served on our own GPU infrastructure via TensorRT-LLM and Triton. No third-party AI API dependency. Enterprise customers get BYOK and private fine-tunes.
Legacy tools automate ~30% with rules. Closora uses owned, fine-tuned AI models that reason about GAAP exceptions, handle the long tail, and compound accuracy monthly. We replace the labor layer, not just the workflow layer.
Yes. Closora supports SaaS → VPC → on-premises → air-gapped (Jetson/edge) deployment. NVIDIA AI Enterprise is the supported platform, de-risking procurement for regulated buyers.
Ready to deploy
See GPU-accelerated finance agents in action.
Book a 30-minute demo and watch Closora close a sample period live — owned models, verifier-gating, real-time GPU inference.