The Argus Alternative: Minervian AI, Built for AI-Driven Underwriting
Argus Enterprise is the long-standing incumbent for institutional commercial real estate cash flow modeling — desktop software, licensed per seat, with a workflow built around manual assumption entry. Minervian AI is a browser-based alternative built for the same institutional complexity: lease-by-lease projections with probability-weighted renewals, per-tenant grossed-up recoveries, multi-tranche debt, a flexible equity waterfall, and portfolio modeling. The difference is how a model gets built. Argus requires an analyst to enter every assumption by hand. Minervian AI reads the offering memorandum and rent roll directly, proposes the assumptions those documents omit, or asks follow-up questions, and produces a complete first draft in 5–10 minutes. A deterministic engine, not the AI, runs every calculation, so identical inputs always return identical numbers. Pricing is also where the two are most different in kind, not just in number: Minervian AI publishes every rate, including overages, on its pricing page. Argus pricing isn't published — it's quoted per enterprise agreement.
Minervian AI vs. Argus Enterprise, at a glance
| Minervian AI | Argus Enterprise | |
|---|---|---|
| Deployment | Browser, nothing to install | Desktop application |
| Price | $25 / seat / month, published in full (incl. overage rates) | Not published — quoted per enterprise agreement |
| Access | Self-serve, register in one step | Sales-led / enterprise procurement |
| Time to first draft | 5–10 minutes (AI extraction + Auto-Complete) | Days — hours of manual assumption entry plus additional modeling in Excel |
| Modeling depth | Complex lease modeling, financing, and a highly flexible waterfall — any number of classes, investors, and tiers | Complex lease modeling and financing; waterfall follows a GP/LP structure |
| Portfolio modeling | One project holds any number of properties | One file per property |
| Asset classes | Industrial, office, retail, multifamily — in one deal | Industrial, office, retail, multifamily |
| Investment strategy | Development, value-add, and core in the same platform | Separate module for development |
| Model editing | Natural-language chat side-by-side with your live model; manual input also supported | Form-based input screens |
| Outputs | Monthly cash flow (per tenant, rent roll, etc.) plus a full deal summary, packaged — sources & uses, budget, profit & returns, waterfall distribution, financing, timeline, acquisition & exit assumptions | Monthly cash flow, per tenant, rent roll |
| Product updates | Frequent and continuous, nothing required from users | Typically annual, requires a new installation |
| Free tier | Yes — 5 deals, no credit card | No published free tier |
| Learning curve | Built into the product — the AI Advisor walks through your live model, flags missing assumptions, and explains any calculation on request, at no extra cost | Separate paid training, running up to a $1,700 certification bundle¹ |
¹ Per store.altusgroup.com (public training and ARGUS Software Certification collections), checked August 2026: ARGUS Enterprise public training runs $800 (1-day mixed-use) to $1,500 (2-day); certification exam bundles run $600 (ARGUS Developer) to $1,700 (ARGUS Taliance), plus separate $175–$375 exam/retake/recertification fees.
Where the two tools differ
1. Time to first draft
With Minervian AI, a first draft is 5–10 minutes away, driven by AI extraction and Auto-Complete. Argus Enterprise commonly takes days, because of hours of manual assumption entry plus additional modeling in Excel.
2. Modeling depth
Both platforms handle complex lease modeling: large rent rolls, indexed and stepped escalations, recovery structures including base-year stops, net, fixed, and expense stop, renewal options, free rent, TI/LC, renewal probabilities and downtime, plus granular market lease-up assumptions, financing, and a waterfall. Where Minervian AI goes further:
- Value-add multifamily: cohort modeling — units are grouped into cohorts, taken back into inventory, renovated, and re-leased at market rates.
- Development: a screenshot of a construction budget and timing assumptions turns into a full hard-cost draw schedule, with costs modeled as an S-curve instead of straight-line.
- Financing: multi-tranche — land, construction, bridge, permanent, and mezzanine loans — with a precise funding amount and mechanism for each bucket (capex, leasing, shortfalls) and an up-to-date SOFR curve, modeled the way loans are actually structured on term sheets.
- Waterfall: a proprietary engine that is highly flexible — any number of classes, investors, or tiers — configurable by conversing with the AI, where Argus's waterfall follows a GP/LP structure.
- Portfolio modeling: any number of properties in one project, typical for industrial parks, shopping centers, and office campuses. Argus requires one file per property.
3. AI-driven workflow
Minervian AI builds the model with you. Inputs from documents — rent roll, OM, PDF, Excel, screenshot — are extracted and added directly to the model by the AI, rather than retyped. Missing assumptions, which most OMs only supply 30–60% of, are flagged by the AI and proposed by Auto-Complete. Inconsistent information, odd-looking returns, or an unbalanced sources-and-uses table are flagged too, so the model doesn't silently carry a mistake forward. The model can be edited by conversation — “re-time the draw schedule,” “restructure the waterfall to 20/80 until a 12% IRR, then 30/70 until 15%” — instead of navigating input screens field by field.
Argus Enterprise still uses form-based input screens. Per Altus Group's own site, August 2026, Argus Assist's “first agent to be released is focused on valuation.”
4. Deliverables
Both platforms produce a monthly cash flow, including per-tenant detail, rent roll, and debt modeling. However, Minervian AI delivers a full deal summary package — sources & uses, budget, profit & returns, waterfall distribution summary, financing, timeline, and acquisition & exit assumptions — the tables lenders and LPs actually ask for.
What Minervian AI covers
| Commercial asset classes | Office, lab, industrial, retail |
| Residential | Market-rate multifamily |
| Deal types | Core, value-add, development |
| Portfolio | Multiple buildings per deal, mixed-use in one projection |
| Debt | Construction, land, bridge (commercial and MF), permanent, mezzanine, ground lease, seller financing; multi-tranche |
| Equity | Dynamic waterfall by classes of securities |
| Return metrics | Levered and unlevered IRR, equity multiple, DSCR, yield on cost |
| Outputs | Monthly cash flow, cash flow by tenant, rent roll, grossed-up OpEx, exit value, 13-section deal summary |
| Loan mechanics | Interest-only, amortizing, IO-then-amortizing, PIK/accrual, refinancing with multi-loan payoff, extension fees |
| Waterfall mechanics | Contributions, preferred return accrual, return of capital, catch-up, promote tiers, IRR/multiple/profit-share hurdles, residual split |
| Lease mechanics | Base-year stops, expense stops, escalations, free rent, TI, leasing commissions, renewal probability, downtime, renewal options |
| Ingestion | Rent roll, PDF, Excel, CSV, screenshot, or a plain-language prompt |
| Export | Excel — deal summary, full deal, output tabs, MF rent roll, waterfall |
Is Minervian AI a replacement for Argus Enterprise?
Yes, Minervian AI is built to handle the same class of deal for institutional CRE underwriting — cash flow modeling, financing, equity waterfalls, and portfolio-level analysis are all things Argus already does. The big difference is how the model gets built: tell it what you know and Auto-Complete builds out the rest, or work through it with the AI Advisor, rather than entering every assumption by hand. It flags what’s missing, explains how any section calculates on request, and runs validation loops to catch gaps and contradictions as the model comes together. A smaller but real difference sits in the waterfall — Argus’s follows a GP/LP structure, while Minervian AI’s supports any number of security classes, investors, and promote tiers.
What files can I import?
PDFs, Excel, screenshots, and natural language. Argus’s own model files are encrypted and can’t be read directly, but a screenshot, PDF, or Excel export of an Argus model works as an input here just like any other document, so switching over an existing deal doesn’t mean starting from a blank page.
Why is Minervian AI so much cheaper?
Argus was built in an earlier era of software that runs as a desktop application and requires a large engineering team, complex installs, and a big sales organization. Minervian AI is modern and web-based: you log in from any browser. Efficient cloud infrastructure, a lean team, and self-serve distribution with no enterprise sales force keep the cost down, and those savings are passed on directly.
How can it offer more and better functionality for less?
Desktop tools carry years of accumulated complexity that slows updates and forces file-sharing between users. A web-based design allows faster feature development, collaboration between users, and a cleaner experience from day one, without the overhead of maintaining legacy systems.
Does moving off desktop software, or a lower price, mean losing rigor?
No — modeling depth is the explicit design goal, not something traded away for speed. See the coverage table and capability list above; every mechanic listed is modeled today, not planned.
How does ARGUS Assist compare to Minervian AI’s AI?
ARGUS Assist is Altus Group’s own conversational AI layer. Per their own site, checked August 2026, Argus Assist’s "first agent to be released is focused on valuation". Minervian AI’s Auto-Complete and AI Advisor build the full assumption set — acquisition, leasing, financing, fees, exit, and the waterfall — from an OM and rent roll they haven’t seen before, to deliver a complete model.
Who should switch from Argus to Minervian AI, in practice?
Teams for whom Argus’s price and desktop deployment are the friction, not its modeling depth: smaller acquisitions teams, brokers producing IC-ready output for many deals a month, sponsors and developers, and lenders — anyone who wants institutional rigor, and an AI that handles the most mundane work, without an enterprise sales cycle or a high licensing cost.
For the complete platform overview — every asset class, deal type, and mechanic — see the CRE underwriting software page.