Inbox instead of form overload
At the beginning, only the core inputs needed for the first screen are captured. That reduces friction and brings deals into a workable state faster.
Totus was built on the belief that deal work should not begin with maximum analysis, but with a clear workflow: capture quickly, enrich automatically, decide in the overview, and go deeper only where it makes professional sense.
Totus will become the central platform for real estate investment decisions — from first assessment to institutional valuation.
We are transforming real estate valuation with controlled AI, transparent logic, and reliable data.
Large parts of the real estate industry still work with fragmented Excel models, subjective location assessments, and manual processes. Every initial deal review takes hours — without standardized comparability.
At the same time, AI creates new possibilities. But it also creates new risks: hallucinations, opacity, and false precision. Many new tools are black boxes that professionals cannot trust.
Totus positions itself deliberately in between: structured, reliable, and traceable decision foundations. AI is used intentionally — but in a controlled and transparent way. Valuation logic stays rule-based.
Consistent valuation logic instead of individual Excel models. Comparable results across all deals.
OCR, scraping, and algorithmic scoring — where automation delivers real value, not just speed.
Every calculation is traceable. No hallucination risk. Trust through rule-based logic.
The new Totus interface is intentionally not designed as a rigid analysis tool. A deal starts with a few core inputs in the Inbox-flow, is automatically enriched with geo and context data, lands in the Overview as the first decision layer, and only then moves deeper into analysis when it makes professional sense.
At the beginning, only the core inputs needed for the first screen are captured. That reduces friction and brings deals into a workable state faster.
After capture, Totus automatically adds geodata, location signals, and initial context so the overview is not based on raw inputs alone.
The overview is where the decision is made: move into the pipeline, go straight into deeper review, or put the deal on hold for now. Analysis follows need, not the other way around.
Irrelevant, paused, or completed deals do not disappear into folders or Excel files. They move traceably into the archive and stay visible in the history.
The new interface starts deliberately lightweight: enter core inputs, import a brochure, create the deal. After that, Totus handles the first round of structuring and enrichment.
The overview shows where a deal stands, which metrics are available, and which next action makes sense. It is intentionally the central transition between intake and depth.
Instead of isolated analyses, Totus organizes the operational deal flow: stage, status, verdict, and priority remain visible while teams decide who works on what next.
We are not building a system that forces every deal into a heavy model immediately. We are building a workflow system for real estate teams: start fast, qualify automatically, decide deliberately, deepen selectively, and archive cleanly.
Every calculation is traceable. No black-box algorithms, no hidden assumptions. Our users understand every result.
Better one fewer feature that works properly. Data quality and valuation logic always take priority over feature breadth.
Investment decisions are based on trust. We earn it through reliability, clarity, and consistent quality.
Break complex problems into manageable modules. Build step by step, improve iteratively, and offer flexibly.
Every feature must deliver clear value for the investment decision. No tech for tech’s sake.
Long-term competitive advantage through data and quality instead of short-term feature racing.
Between simple online calculators and complex institutional software — with the best of both worlds.
Simple, but too superficial for professional decisions.
Too simpleFlexible, but opaque, error-prone, and not comparable.
FragmentedInstitutional logic, data-driven automation, intuitive use.
Structured & dependablePowerful, but complex, expensive, and often oversized.
Too complexTotus is built for semi-professionals and professionals who need reliable valuations — without months of implementation.
Fast pre-screening of incoming deals. Residual value calculations and financing logic for development projects.
Structured decision foundations for real estate investments. Comparability and transparency across the portfolio.
Ongoing valuation and monitoring of property holdings. Market data and benchmarks for portfolio decisions.
Institutional-grade valuation quality without the complexity and cost of large software platforms.
We are looking for partners, early adopters, and visionaries who want to rethink real estate valuation.
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