Users can enter Tellingly through a property, business, sector, geography, saved search, or emerging signal, then follow the evidence into the relevant workspace.
The Discovery Pipeline combines the search definition, qualification path, ranked candidates, selected geography, map, and the selected-asset context. This lets teams assess both the opportunity and the quality of the evidence that brought it into view.
Representative interface using demonstration data. The screen illustrates the workflow and evidence controls without exposing private search results.
A user can define or rerun a search, inspect how many properties entered the candidate universe, see which qualification gates were met, and review the ranked queue beside a map. Search and filter controls act on the loaded candidate set; opening a record moves the selected property into deeper evidence reconciliation and analysis.
Property Analysis is used after the evidence record has been assembled. It connects the investment thesis, recommended action, why-now catalyst, downside, ownership and occupation, local-market evidence, scenarios, relationships, limitations, and the verification plan. Analysts can retain the review or create a snapshot-bound report from the same evidence position.
Special-situations, acquisition, advisory, and asset-management teams can screen for change, inspect why a property qualified, and focus diligence on evidence-backed candidates.
The workflow is designed to retain counterevidence, missing links, stale observations, and verification priorities alongside the commercial thesis. This supports review; it does not replace legal, valuation, planning, or investment advice.
Acquisition and special-situations teams can begin with a geography, sector, corporate event, distress signal, planning change, or saved search. Asset managers can begin with a known property or monitored portfolio. Advisers and public-estate teams can begin with an owner, occupier, business, or service need.
Each entry point converges on the same discipline: identify the subject, show the evidence scope, preserve conflicting or incomplete records, and make the next verification or commercial action explicit.
Early screening may end with a rejected lead, a saved search, or a contextual watch item. A stronger candidate may move into a property record, premium enrichment, scenario analysis, monitoring, simulation, a review-vault file, or a board-oriented report.
The output becomes more detailed as the decision cost rises, while the complete evidence trail remains available to explain why the asset advanced, paused, or was removed from consideration.
Each workflow begins with a different analytical question and retains the relevant evidence boundaries.
For teams looking for assets where distress, transition, or under-managed ownership may create a route to acquisition.
Run signal-led discovery, open the property record, then use full analytical mode for acquisition and exit scenarios.
For teams building a targeted pipeline across sectors, geographies, ownership profiles, and asset classes.
Save discovery searches, rerun them, compare result snapshots, and shortlist assets for deeper research.
For advisors who need a structured evidence pack before deciding whether an asset or company warrants outreach.
Use the lead queue and source-audited property record to prepare client-facing diligence notes.
For teams monitoring borrowers, guarantors, occupiers, or security-linked assets for early signs of risk.
Monitor watchlists, review owner and occupier financial health, and export false-positive learning back into the model.
For teams tracking tenant quality, capex exposure, and repositioning or disposal opportunities across a portfolio.
Use property records, occupier profiles, EPC/VOA context, and analyst feedback to prioritise management action.
For users who begin with a struggling sector, then want to map companies and operators back to physical assets.
Run sector intelligence, inspect company seeds, then launch sector-led asset discovery.