Model Base, Bear, and Bull discount-rate scenarios from source files, compare valuation outcomes, and verify every number with an independent AI audit trail.
Upload and analyze spreadsheets, PDFs, documents, scans, CAD files, and other supported formats in the Energent app.
Trusted by 100k+ companies across the globe.
Automated discount-rate and WACC scenario modeling uses AI to organize source data, construct regime-based discount-rate assumptions, calculate valuation outputs, and compare the impact of changing market conditions. Energent.ai is designed to recompute and trace numbers from spreadsheets, PDFs, scans, and other files rather than leaving high-stakes verification to a human reviewer. It can support finance teams working on valuation, due diligence, recurring reporting, and broader AI financial analysis. The resulting work can include reviewable outputs, evidence trails, and an independent pass/fail audit.
The supplied valuation analysis covers historical macro regimes from January 2005 through May 2026 across 257 monthly observations. It benchmarks scenario outputs against inflation, policy rates, risk-free rates, credit spreads, and proxy WACC.
| Regime | Risk-free | Credit spread | Term spread | Fed Funds | Proxy WACC | PV |
|---|---|---|---|---|---|---|
| Base (Normal) | 2.84% | 1.23% | 0.65% | 1.41% | 4.08% | $1,478.6 |
| Bear (Tightening) | 4.10% | 1.01% | 0.10% | 3.94% | 5.10% | $1,376.2 |
| Bull (Easing) | 2.20% | 1.83% | 1.57% | 0.14% | 4.02% | $1,484.1 |
Bring together rates, spreads, inflation references, and scenario assumptions while preserving the source context behind each value. This is useful when a valuation model depends on multiple files or document types.
Use scenario tables, charts, and audit notes to explain why present value changes between regimes. The same evidence-first approach can support financial due diligence and red-flag review.
An independent auditor can recompute figures, trace them to source fields, fix issues where possible, and issue a pass/fail verdict with attached evidence. That shifts review from checking every row to investigating what is flagged.
Save recurring jobs as named workflows and rerun them with new files week after week. This supports recurring valuation, expense, trade, and reusable financial workflows.
Ground assumptions in original source documents and fields.
Compare Base, Bear, and Bull proxy WACC and PV outcomes.
Visualize historical rate paths, regime mixes, inflation, and policy-rate clustering.
Trace every number through a reviewable evidence trail.
Reduce hallucination risk through an independent second-agent audit.
Reuse corrected rules and workflows for subsequent analysis.
Upload the spreadsheets, PDFs, documents, scans, or other files that contain the model inputs and assumptions.
What you see: files and a natural-language task.
Energent computes regime inputs, proxy WACC, present value, historical comparisons, and requested charts or tables.
What you see: scenario outputs and visual analysis.
A separate AI auditor recomputes and traces the results, fixes issues where possible, and returns a pass/fail verdict.
What you see: cited evidence and flagged items.
“You can see exactly which source file the number came from, the field it was extracted from, and the reference it was checked against. Not a black box — a traceable chain.”
The audit workflow is designed for analysis that must be defensible in a review meeting, not merely plausible in a demo.
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H.
Digital Collection Curator · Fortune 500, Retail & E-commerce
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
Roberto C.
Data Operations Specialist · Fortune 500, Logistics
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
Kay P.
Power Query Analyst · Fortune 50, Financial Services
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M.
Telecommunications Engineer · Fortune 500, Telecommunications
“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”
Alyse H.
Digital Collection Curator · Fortune 500, Retail & E-commerce
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
Roberto C.
Data Operations Specialist · Fortune 500, Logistics
“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”
Kay P.
Power Query Analyst · Fortune 50, Financial Services
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
Amjad M.
Telecommunications Engineer · Fortune 500, Telecommunications
| Decision dimension | Energent.ai | Manual review | Unverified AI output |
|---|---|---|---|
| Calculation approach | Recomputes and compares outputs | Reviewer checks calculations | Original agent produces output |
| Source traceability | Traces numbers to source file, row, and field | Depends on documentation discipline | No independent evidence trail described |
| Verification result | Pass/fail verdict with evidence | Reviewer conclusion | No separate audit agent |
| Recurring work | Named, reusable workflows | Repeated manual process | Prompt must be repeated |
| File breadth | 150+ supported file types cited | Varies by reviewer and tools | Varies by system and input |
The comparison reflects the supplied descriptions of Energent’s independent audit capabilities, manual review, and outputs without independent verification.
clients worldwide cited by the company
supported file types
published HuggingFace leaderboard accuracy claim
fewer hallucinations in cited public evaluations
Discount-rate and WACC scenario modeling compares how different market regimes affect the rate used to value future cash flows. In the supplied dashboard, Base, Bear, and Bull regimes produce different risk-free rates, credit spreads, policy rates, proxy WACCs, and present values. The analysis covers 257 monthly observations from January 2005 through May 2026. It includes a baseline PV anchor of $1,460.6 and scenario PV outputs from $1,376.2 to $1,484.1. The purpose is to make valuation sensitivity visible and reviewable rather than hiding it inside a single assumption.
Energent is relevant to analysts, finance and accounting teams, operations and procurement groups, engineering teams, research groups, and enterprise customers working with complex files. It is particularly suited to users who need source-grounded numbers and an evidence trail for review. The workflow can support recurring valuation, due diligence, reporting, and scenario-analysis jobs. Users can provide natural-language instructions rather than building every transformation manually. The supplied information also describes workflows that can be rerun with new files over time.
You begin by providing the relevant source files and describing the analysis you want in natural language. Energent can work with spreadsheets, PDFs, Word documents, presentations, scans, and other listed formats. The system then performs the requested workflow, which may include calculations, comparisons, tables, charts, and exportable deliverables. Once a recurring job is corrected and saved as a named workflow, it can be rerun with new files. The supplied information does not specify a fixed onboarding duration, so setup time depends on the files and workflow requested.
Yes, the Energent Audit description says the independent auditor recomputes numbers and traces each number back to the exact source file, row, and field. It can check work produced by other AI systems as well as Energent’s own output. Where possible, it fixes issues and then issues a pass/fail verdict with attached evidence. This is designed to reduce the need for a person to manually check every row. The supplied company information cites up to 3× fewer hallucinations in internal or public evaluations, identified as a company claim.
The company cites support for more than 150 file types. The supplied list includes spreadsheets, PDFs, Word documents, presentations, scanned images, handwriting, CAD drawings, electronics design packages, bills of materials, InDesign files, and G-code. Outputs can include Excel workbooks with live formulas and audit-trail tabs, Word documents, PowerPoint decks, annotated PDFs, ZIP packages, and HTML dashboards. The exact output depends on the task and source material. This breadth is useful when WACC and valuation inputs are distributed across several document formats.
The supplied information provides a product entry point at the Energent app and includes a “Try it for Free” description for that app experience. It does not provide specific subscription prices, usage limits, or plan comparisons. For current commercial details, users should consult the company’s pricing page or contact Energent directly. A demo is also available through the supplied Book a Demo page. This page therefore avoids stating a price or guarantee that was not provided in the source information.
Run source-grounded valuation analysis with reusable workflows and an independent audit trail.