Energent.ai use case
Transform complex economic files into research-ready dashboards, statistical models, scenario analyses, and defensible reports with every important result traceable to its source.
Trusted by 100k+ companies across the globe.
It is a way to use AI to analyze economic datasets, compare indicators across countries and time periods, build statistical models, and turn findings into dashboards and reports. Energent works with spreadsheets, PDFs, Word documents, presentations, scanned images, handwriting, and other complex formats. Researchers can use source-grounded macroeconomic research to investigate relationships while keeping the underlying evidence visible and reviewable.
Explore the types of analysis Energent can turn into interactive dashboards, downloadable workbooks, and reviewable reports.
The GDP-only model reported a log GDP coefficient of -24.49 with a 95% confidence interval of [-29.28, -19.70]. The trade and log GDP correlation was -0.441, with a scatter fit R² of 0.195 across panel years 2010–2023.
Open Macroeconomic Gravity DashboardA historical monthly dataset covering January 2005 through May 2026 produced a baseline PV anchor of $1,460.6 and a scenario range of $1,376.2–$1,484.1. The dashboard compares risk-free rates, credit spreads, proxy WACC, inflation, and valuation outcomes.
Open Discount-Rate Scenario DashboardUsing volatility and rate behavior, the latest 126 observations contained 71.4% bull conditions, 28.6% base conditions, and no bear observations. Average following six-month returns were +10.4% in bull conditions, +1.1% in base conditions, and -13.2% in bear conditions.
Open Macro Regimes DashboardThe workforce dashboard found a 2023 average gender participation gap of 12.2 percentage points, a 6.0-point youth penalty, and 5 of 20 economies in the masked-slack zone. It demonstrates why headline unemployment alone can miss underutilized labor capacity.
Open Workforce Gaps DashboardMove from raw files and fragmented analysis to repeatable, reviewable economic research.
Analyze spreadsheets, PDFs, scans, presentations, handwriting, and other complex files at scale.
Build dashboards with regressions, correlations, confidence intervals, scatter plots, coefficient charts, heatmaps, and regime views.
Save recurring work as reusable research workflows for weekly, monthly, or quarterly updates.
Deliver Excel workbooks with live formulas and audit tabs, Word reports, PowerPoint presentations, annotated PDFs, HTML dashboards, and ZIP packages.
Continue multi-day work across desktop, phone, and tablet without interrupting long-running jobs.
Work across Portuguese, Russian, Spanish, Arabic, French, Italian, German, Korean, and many other languages.
A practical workflow from source files to a defensible research artifact.
Upload economic files and describe the research question or recurring analysis in natural language.
What you see: source files, instructions, and a defined research task.
Energent analyzes the data, builds models, compares indicators, and assembles charts, tables, and findings.
What you see: dashboards, coefficients, confidence intervals, and interpreted results.
An independent auditor recomputes figures, traces evidence, corrects issues where possible, and issues a pass or fail verdict.
What you see: downloadable deliverables and an evidence trail ready for review.
The workflow is organized around analysis, control, and usable research outputs.
The supplied analyses show how the same workflow can support labor, credit, environmental, market, and valuation research.
| Research area | Key result | Observed period or sample |
|---|---|---|
| Macroeconomic gravity modeling | GDP-only log GDP coefficient β = -24.49; correlation = -0.441; R² = 0.195. | Panel years 2010–2023 |
| Workforce utilization | Average gender gap 12.2 pp; average youth penalty 6.0 pp; masked slack in 5 of 20 economies. | 2023 cross-section and changes since 2010 |
| Credit stress | All-accounts rate reached 21.00%; delinquency reached 2.92%. | Latest supplied data: February 2026 |
| Forest economics modeling | Forest-cover/economic-share correlation +0.33; protected land versus sector share correlation -0.48. | Country sample and Republic of Congo focus |
| Portfolio analysis | Ten-year withdrawal survival was 100%; supplied scenarios survived 10 years at 4 of 4. | June 2016–June 2026; 120-month simulation |
| Period | All accounts | Revolving | Delinquency |
|---|---|---|---|
| 2021 | 14.61% | 16.43% | 1.64% |
| 2023 | 20.70% | 21.95% | 2.81% |
| 2025 | 21.26% | 22.36% | 3.01% |
| 2026 YTD | 20.98% | 21.91% | 2.92% |
| Regime | Proxy WACC | PV |
|---|---|---|
| Base | 4.08% | $1,478.6 |
| Bear | 5.10% | $1,376.2 |
| Bull | 4.02% | $1,484.1 |
Historical dataset: 257 monthly observations from January 2005 through May 2026.
Energent Audit is designed to make the quality-control layer visible instead of leaving researchers to check every result manually.
The audit checks figures, traces evidence, verifies references, fixes issues where possible, and produces a pass/fail report. It can review work generated by another AI system as well as Energent output.
The evidence supplied by Energent combines published claims, dashboard outputs, and direct user feedback.
Energent reports powering workflows for 100,000+ clients worldwide.
The platform supports more than 150 file types, including CAD, scans, G-code, InDesign, BOMs, PDFs, XLSX, and DOCX.
Company materials claim 3× fewer hallucinations in public evaluations and describe triple-auditing of results and numbers.
The company cites 94.4% accuracy and a number-one placement on a published HuggingFace leaderboard.
“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.”
“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”
“Energent.ai is a great platform... the interactive outputs add real value to my work.”
The supplied information supports this comparison of capabilities, not a comparison of competitor pricing or performance.
| Dimension | Energent.ai | Generic AI workflow | Manual review |
|---|---|---|---|
| Independent verification | Separate AI auditor with pass/fail evidence | Not specified in supplied information | Human review required |
| Source traceability | File, row, and field tracing | Not specified in supplied information | Depends on reviewer process |
| Recurring research | Named, re-runnable workflows | Not specified in supplied information | Repeated manual work |
| Complex file support | 150+ file types | Varies by system | Can inspect files manually |
| Deliverables | Excel, Word, PowerPoint, PDF, HTML, ZIP | Varies by system | Depends on team tools |
Selected company-reported figures and supplied analysis results.
Clients worldwide
File types supported
Published leaderboard accuracy claim
Fewer hallucinations claimed
Answers to practical questions about AI-supported macroeconomic research and data modeling.
AI for macroeconomic research and data modeling uses AI to inspect economic files, compare indicators, build statistical models, and create analytical deliverables. In the supplied Energent use case, this includes regressions, correlations, confidence intervals, scatter plots, coefficient charts, heatmaps, and regime analysis. It can work with spreadsheets, PDFs, Word documents, presentations, scans, handwriting, and other complex formats. The goal is to move from raw evidence to dashboards and reports without losing the connection between a result and its source. Energent also provides an independent audit step intended to identify errors before the research is delivered.
The supplied company information describes Energent as relevant to analysts, finance and accounting teams, operations and procurement groups, engineering and research teams, and enterprise customers. For macroeconomic work, it is suited to people who need to compare countries, time periods, market conditions, labor indicators, credit measures, or valuation scenarios. It can also help teams that repeatedly produce weekly, monthly, or quarterly research updates. The platform is designed to make high-stakes analysis accessible through natural-language prompts and reviewable outputs. Users should still apply their own domain judgment when interpreting results and assumptions.
Energent states that it supports more than 150 file types. The supplied examples include CAD, G-code, scans, InDesign, bills of materials, PDFs, XLSX files, DOCX files, presentations, and complex documents. For research delivery, it can produce Excel workbooks with live formulas and audit-trail tabs, Word reports, PowerPoint presentations, annotated PDFs, HTML dashboards, and ZIP packages. The inputs also mention a 717-page PDF, 805 merged Word tables, and quality checks beyond row 62,000 as examples of batch work. Exact behavior depends on the file, task, and workflow provided.
Energent Audit is described as an independent AI auditor separate from the agent that performed the original analysis. It recomputes figures, traces numbers to the exact source file, row, and field, checks references and evidence, and fixes issues where possible. It then issues a pass/fail verdict with supporting evidence attached. The auditor can review work created by another AI system as well as Energent’s own output. This changes the review process from checking every row manually to focusing attention on what the audit flags, according to the supplied user statements.
Yes, the supplied information says a completed research process can be saved as a named, re-runnable skill. Examples include monthly macroeconomic regime reports, weekly trade reports, repeated country-panel regressions, quarterly labor-market updates, interest-rate monitors, credit-stress monitors, and scenario-based valuation refreshes. New data can be fed into the saved process as it becomes available. The stated purpose is that corrections become persistent audit rules rather than one-time fixes. The workflow can also operate across desktop, phone, and tablet during multi-day jobs.
Specific pricing figures were not included in the supplied information, so this page does not state a price. Energent provides a pricing page through its website navigation and also offers a Book a Demo path. The product entry point is the Energent app, which is linked from the Start Free buttons on this page. Teams with complex file, security, workflow, or audit requirements can use the demo route to discuss their research process. Any final pricing, plan limits, or onboarding terms should be confirmed directly with Energent.
Start building source-grounded macroeconomic dashboards, models, and verified deliverables with Energent.ai.