40+ financial ratios with formulas
Profitability, liquidity, leverage, efficiency, growth and valuation ratios, each shown with the exact formula and inputs ("Gross Margin = $37,800 / $51,600 = 73.3%"). No black-box numbers.
Finance, model in Intel TDX
AI Financial Analyst on a TEE model in Intel TDX
Board-ready financial analysis with the receipts, without sending MNPI to OpenAI, Anthropic or Google.
An AI model following an analysis checklist, not a CFA or auditor, that reads your P&L, balance sheet, cap table and management discussion. Documents are parsed by our servers and passed to an open-weight model in an Intel TDX enclave; never used for training. Forty-plus financial ratios with formulas, anomaly detection on revenue recognition and accruals, and a one-page executive summary you can hand to the board. Built for finance teams whose data should never be pasted into ChatGPT.
Built for: CFOs at $20M-$200M revenue, FP&A leads, M&A teams, audit partners
The pain
Sending board materials, 10-Q drafts or M&A models to ChatGPT is a Reg FD risk, an SEC disclosure risk and a competitive leak, but financial analysis still takes 4-8 hours per report and external audit support costs $300-800/hr.
The outcome
Model 3-statement scenarios, sensitivity tables and ratio dashboards in minutes, without sending data to OpenAI, Anthropic or Google.
Capabilities
What the Financial Analyst does on every document, with a TEE model that runs inside an Intel TDX hardware enclave.
Anomaly and earnings-quality detection
Surfaces channel stuffing patterns, hockey-stick quarters, accruals diverging from cash flow, and unusual related-party transactions, the things a PE buyer would flag during due diligence.
Industry-benchmark comparison
Compares your metrics against SaaS medians (KeyBanc), S&P industrials, French SME peer groups or PE portfolio benchmarks. Tells you which median is being applied.
Multi-period trend analysis
YoY and QoQ trend lines on every metric, with inflection-point detection. Flags margin compression two quarters before it shows up in EBITDA.
Scenario modeling
Bull / base / bear projections built from the actual growth and cost-structure data in the document, not generic assumptions. Use it for runway analysis, covenant headroom or board scenarios.
One-page executive summary
Board-ready output: financial health rating, three positive findings, three concerns and a priority recommendation, for your finance lead to review before it goes to the board.
How it works, end to end
Four steps from upload to export. Your document is parsed by our servers and passed to a TEE model; never used for training.
- 01
Upload financials
Drop in P&L, balance sheet, cash flow, 10-K, cap table or audit workpapers as PDF, DOCX or CSV. Files go over TLS, are parsed by our servers and passed to a TEE model; never used for training.
- 02
Inference inside Intel TDX
The model runs inside an Intel TDX enclave with CPU-level memory encryption during inference. Nothing is stored or used for training.
- 03
Review structured output
Executive summary, key metrics dashboard, trend analysis, red-flag register, earnings-quality score and scenario tables, all with formulas and source citations.
- 04
Export to the board pack
Copy the markdown into your board deck, paste tables into Excel, or pull JSON via API (Pro tier) into your FP&A workflow.
Frameworks and regulations covered
Every output cites the specific article, section or control. The Intel TDX hardware boundary handles the data-protection side; the agent handles the analytical side.
SOX (Sarbanes-Oxley)IFRS / US GAAPSEC Reg FDMaterial non-public information (MNPI)GDPR (financial PII)DORA (EU financial)
What people actually ask it
Real prompts from finance teams.
Analyze this P&L, flag anything a PE buyer would scrutinize in due diligence.
Compute all liquidity and leverage ratios. Am I at risk of covenant breach?
Are there anomalies in these quarterly transactions? Check for earnings management.
Prepare a 1-page board summary of this annual report.
Sample output
Prompt: Score the earnings quality of this 10-K from 1-10 with justification.
Output: 6/10. Cash conversion is healthy (OCF/Net Income = 1.14x). Concern: accrual ratio jumped from 4% to 11% YoY, and DSO extended from 47 to 63 days, receivables growth is outpacing revenue growth, suggesting aggressive revenue recognition late in Q4. Recommend reviewing AR aging detail and revenue policy disclosures.
Prompt: What's our cash burn rate and runway at current spend? Model 3 scenarios.
Output: Base case: $640K/mo burn, 14 months runway. Bull (revenue +18% by Q2): 22 months. Bear (NRR drops 8pp, new logos -30%): 9 months. Covenant breach risk on cash floor at month 11 in bear case, recommend bridging discussion before Q3.
Pricing
Every tier runs inside Intel TDX hardware enclaves. Plans stay in sync with /pricing.
Plus
$20/mo
1,000 requests/month, 1 seat, 25 MB uploads. For individual analysts and fractional CFOs.
Starter
$349/mo
3 seats, 2,000 requests/month, 100 MB uploads, audit log. For finance teams at $5M-$50M revenue.
Pro
$1,199/mo
10 seats, 5,000 requests/month, 500 MB uploads, full API access, 12-month audit log retention. For FP&A and M&A teams.
Enterprise
Contact sales
Unlimited seats, fine-tuning on your historical financials, SSO/SAML, dedicated TDX capacity, custom DPA, DPIA support.
AI Financial Analyst vs the alternatives
Honest comparison. Hardware-rooted confidentiality is what most alternatives are missing.
| Alternative | Pros | Cons vs VoltageGPU |
|---|---|---|
| ChatGPT Enterprise |
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| Anaplan / Pigment |
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| Big Four advisory |
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FAQ
Is my financial data sent to OpenAI or another third-party model?
No. Inference runs on an open-weight model inside an Intel TDX hardware enclave, under a French controller. Your financials are parsed by our servers and passed to that TEE model; never used for training. Nothing reaches OpenAI, Anthropic or Google.
Which model powers the Financial Analyst?
The default TEE model of our catalog running inside an Intel TDX enclave on the Free tier. The Plus, Team Starter and Pro tiers use the larger Qwen3.5-397B-A17B (256K context). The Pro and Enterprise tiers add DeepSeek-V3.2-TEE reasoning for valuation and scenario work. All deployments are hardware-attested with Intel DCAP.
Can the analyst replace my external auditor?
No, and we do not market it that way. The analyst handles the first-pass review work that audit seniors and FP&A analysts do, ratio dashboards, anomaly detection, scenario tables. Audit opinions still come from licensed auditors. Output is framed as "analysis and observations for qualified decision-makers."
How does this handle Reg FD and MNPI exposure?
It reduces third-party exposure; it does not make the disclosure decision for you. Documents are parsed by our servers and passed to a TEE model; never used for training. Inference runs in an Intel TDX enclave on listed US compute sub-processors, and nothing goes to OpenAI, Anthropic or Google. Your Reg FD and MNPI policies still apply.
Can I get API access for FP&A automation?
Yes, on the Pro tier. The API is OpenAI-compatible, change the base URL, keep your existing SDK. Requests pass through our relay, which sees them in clear (TLS ends at our host). To keep plaintext off our servers, run your own inference server in a Confidential VM and terminate TLS inside its trust domain. Teams use it to auto-summarize monthly close packs, run anomaly checks on consolidated TBs and pull structured JSON into Workday Adaptive or Pigment.
How does this compare to Anaplan or a junior analyst?
Anaplan is a planning platform, it does not read documents. A junior analyst takes 4-8 hours and costs $50-120/hr fully loaded. The agent gives a checklist-based first pass in minutes, freeing the junior to do the judgment work.
What compliance coverage do I get?
GDPR Art. 28 DPA signed on request. The operator is VOLTAGE EI (France, SIREN 943 808 824). Intel TDX provides attestation of the enclave. Not SOC 2 certified yet (status on /trust), and no ISO 27001 certification.
What if I need a custom system prompt for my industry?
On Enterprise, we tune the system prompt and (optionally) fine-tune the model on your historical financials and accounting conventions. The fine-tuning runs inside a confidential VM; the resulting weights stay private to your tenant.
Keep exploring
Run Financial Analyst on hardware you can prove
Model in an Intel TDX enclave, with an attestation of its serving instances on your nonce. French company (VOLTAGE EI), compute at US sub-processors under SCCs. Cancel anytime.