Investra combines the deal pipeline, document analysis, and valuation into a single platform. Property documents are parsed using AI, relevant fields are automatically extracted, and the entire process—from import to a valuation report ready for decision-making—takes minutes instead of days.
People who buy real estate spend most of their time not on evaluating properties, but on preparing documentation. Real estate investors frequently encounter recurring problems in this process.
The result: lower efficiency, less transparency, and a slower deal process.
co2lect can integrate data from various sources. Are only invoices available? The intelligent algorithm in co2lect can capture data directly from PDFs or even scans of invoices.The relevant data from the invoices is recognized, read and structured using the latest AI technology. A quality check ensures that the correct information is integrated into the database.
The measurability and traceability of sustainability goals is playing an increasingly important role for real estate owners. The members of the Asset Management Association Switzerland (AMAS) are required to publish all environmentally relevant key figures in a standardized format. There are also binding standards at European level in the form of the EU Taxonomy and the CSRD. However, reporting ESG data is very time-consuming and laborious, as the necessary data is often stored in different data sources or has to be collected in a structured manner in the first place. The manual collection and preparation of data for the various standards and benchmarks is time-consuming and, above all, error-prone. ESG Data Management can automate these processes and guarantee high data quality at the same time. This frees up resources to focus on the essentials: analysing the data and optimizing the building stock.
If the necessary data is available, co2lectcan be used for any reporting standard. co2lectcan be used to fill in individual KPIs (e.g. according to AMAS, KGAST, ASIP, ESRS) as well as complete templates (e.g. GRESB Asset Spreadsheet, REIDA Template) or generate a complete ESG report (e.g. sustainability section for the annual report).
We always strive for the highest possible degree of process automation.
Various data is already available in source systems (e.g. area data). Wherever possible, direct access to the source system is sought in order to keep manual effort to a minimum. Alternatively, the data can be exported from the systems as structured Excel/CSV or PDF files and thus integrated into co2lect.
Some of the data required for ESG reporting does not yet have a source system (e.g. energy data, waste). This data can be recorded in a structured manner using specific input masks or via data uploads in our co2lect application.
For energy data from consumption invoices, we have also developed an intelligent algorithm that can read the energy data from invoices.
The collection of energy data is crucial for ESG reporting. Our smart ESG application co2lect supports you in the collection, management, processing and quality control of your consumption data (energy, water).
More and more owners are collecting their energy data via smart meters. The data can then be aggregated and integrated directly into co2lect. If no smart meter solution is yet available, some of the energy data can be obtained directly from the energy company in a structured form or there is an interface to their source system.
Until all data collection processes are automated, consumption inovices often remain the only source of consumption data. To avoid having to laboriously read these out by hand, we have developed an intelligent AI-based algorithm that can automatically read the data from PDF invoices or even scans of invoices and integrate it directly into co2lect.
Within co2lect, all energy data and other consumption data are processed, structured, historised and subjected to a data quality check. The application allows you to correct incorrect values or add missing data.
A combination of human and artificial intelligence is used to automatically check the quality of the energy data integrated in co2lect. On the one hand, these are rule-based and check, for example, whether a value is within the defined range of last year’s value. The detection of outliers in the data is also an issue, i.e. data points that deviate significantly from the general mean value are reported.
The results of the various data quality checks are processed in an interactive quality report. This allows warnings and errors in the data to be viewed and, if necessary, rectified.
The pressure towards sustainability from investors is also increasing on smaller real estate owners. Various associations such as AMAS, KGAST and ASIP have defined environmentally relevant KPIs that must be published. European standards such as DNK or ESRS have also defined reporting guidelines. All standards now require detailed data on the energy consumption of all properties in the portfolio.
Often, smaller companies in particular do not have standardized processes for recording this data and it is recorded manually in a laborious process. This is not only time-consuming but also prone to errors.
co2lectis a smart application for recording and managing energy data and other consumption data (e.g. water). If, for example, only the AMAS KPIs are relevant, all energy consumption data is processed first and foremost. Automating the processes for recording the data and calculating the KPIs saves a lot of time and guarantees high data quality.
The application can also be continuously adapted to new and growing needs by integrating new data sources and generating additional KPIs.
As an ESG Data Partner, Alphaprop supports ECOREAL in the structured collection and management of energy data and the calculation of high-quality KPIs for ESG reporting.
Industriestrasse 24
6300 Zug
Switzerland
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