General

Optiml is a decision platform for institutional real estate. You bring your assets and whatever data you have, from an address up to full audits and rent rolls. Optiml builds a model of each building, runs investment and decarbonization strategies against your financial goals and constraints, and returns a decision pack: the recommended Capex plan, the alternatives, and the assumptions and sensitivities behind it, at asset and portfolio level. The REDI entry below explains the category Optiml belongs to.

Real Estate Decision Intelligence (REDI) is the decision layer for capital allocation and active asset management in institutional real estate. It sits between your systems of record, which hold the evidence, and your systems of execution, which carry out the work. REDI determines what capital should be deployed, where, when, and why, and makes that decision reproducible, challengeable, and refreshable. Optiml is our implementation of the REDI standard.

Optiml is built for the people who allocate and defend capital in institutional real estate: fund and portfolio managers, asset managers, transaction teams, and sustainability and ESG leads, as well as the technical consultants who support them. Each role works from the same decision model, so asset plans, portfolio priorities, and investment cases stay consistent.

ESG and data platforms collect, clean, and report the evidence about your buildings. Optiml is the decision layer on top of that evidence: it determines which measures and assets should receive capital, under explicit financial, technical, regulatory, and operational constraints, links asset decisions to portfolio outcomes, and keeps the investment case live as assumptions change. We work with the data you already hold in those systems rather than replace them. Where the evidence itself is fragmented, Optiml's Data Management Services can turn it into decision-ready data first, but that is a separate offer and not a prerequisite.

Optiml is headquartered in Zurich, Switzerland, with teams in London, Munich, and Berlin. We work with institutional investors and asset managers across Europe, North America, and APAC, on single assets as well as multi-country portfolios.

Optiml currently covers 22 countries across Europe, North America, and APAC: Austria, Belgium, Canada, Czechia, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Japan, Luxembourg, the Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland, United Kingdom, and United States. Coverage is extended quarterly.

Book a demo. We will walk through your portfolio and the decisions you need to make, show how Optiml applies to your assets, and agree on a first scope, typically a lighthouse portfolio where we can show the decision delta against your current process.

Optiml streamlines the traditionally time-intensive processes of collecting building data and developing investment and decarbonization strategies at both asset and portfolio levels to meet users' targets. Tasks that previously required days of manual effort can be completed in minutes. Optiml has been shown to save 90% in time and effort (soft costs) along with up to 30% reductions in Capex and CO₂ for buildings with optimal investments. Overall, payback is in a few months.

An address alone is enough for a first assessment. Address, floor area, construction year, and use type unlock full onboarding and strategy generation. From there, every additional input, such as energy bills, rent rolls, EPCs, audit reports, or a short site checklist, tightens the result. Accuracy increases with data quality, and the platform shows you where the gaps are.

Two ways. Single assets, for example in a transaction, are added directly in the app and assessed within minutes. Funds and portfolios are uploaded in bulk with Optiml's Excel template, and strategies and assessments are generated automatically on upload. After purchase, we run an onboarding workshop with you to agree the data exchange and onboard all of your assets within days. Access is through your web browser, with nothing to install.

Optiml covers residential and commercial buildings out of the box, including mixed-use portfolios. Industrial and other complex assets can be represented with additional data on operations and systems.

The decision logic is mathematically exact operations research (mixed-integer linear programming and dynamic programming), not generative AI. It is deterministic, constraint-based, and reproducible: the same inputs always produce the same recommendation, and every result can be traced back to its objective, constraints, and assumptions. AI is used around the decision, for example to extract data from documents or draft summaries, never to make the capital decision itself.

Every asset comes with four reference strategies to 2050: Status Quo (no interventions), Minimum Cost (lowest life-cycle cost including Capex, Opex, and energy), Minimum CO₂ (lowest life-cycle emissions across Scope 1, 2, and embodied Scope 3), and Feasible Low CO₂ (the balance between life-cycle cost and emissions). Custom strategies with your own objectives and constraints are built on top of these.

Optiml uses a deterministic, physics-based monthly heat balance following the ISO 52016 and DIN/TS 18599 family of standards. It produces energy intensity (kWh/m²/yr) and carbon intensity (kgCO₂e/m²/yr) by energy carrier, end use, and scope, for the building as it is today and for every strategy.

On our validation set, simulated energy consumption lands within roughly ±10% of measured consumption, compared with the 10% to 30% under-prediction typical of conventional monthly methods. Where metered data is available, outputs can be calibrated to it, and the calibration basis is declared for every output.

For every asset and portfolio you get the decision pack: the recommended strategy with its sequenced measures and Capex plan, the alternatives it was compared against, financial and transition outcomes side by side, and the assumptions and sensitivities behind them. Everything is available in the platform and exportable to Excel and PDF, including full DCF and cash-flow detail. Our Assistant feature also allows for flexible reporting.

Yes. Optiml is built to sit on top of the systems you already run. Building, ESG, and Capex data from ESG platforms, ERP and MIS systems, and asset management software can be brought into Optiml, and strategy outputs such as measures, Capex plans, and CO₂ impacts can be returned to those systems for reporting and execution. Integrations are set up per client depending on the systems in place.

Optiml runs on Google Cloud infrastructure hosted in the EU/EEA. Data is encrypted at rest and in transit, and customer data is never shared across clients.

No. Customer data is never used to train models and never leaves the platform for third-party services or large language models. It is used only to run your analyses and strategies.

Optiml is ISO 27001 and SOC 2 certified and GDPR compliant. Controls include role-based access, segregated client environments, data classification, incident management, and third-party agreements with confidentiality commitments. Current evidence is published at trust.optiml.com.

Yes. Optiml operates in the EU and uses AI in its platform, so the EU AI Act applies. Our optimization model produces advisory recommendations that are always reviewed and approved by people, which places it outside the high-risk category. Language models assist with drafting and summarizing and are clearly labeled. A formal AI governance policy defines guardrails, ownership, risk management, and human oversight.

Optiml optimizes each asset against its own evidence and constraints and consolidates the results into a portfolio view, where fund-level KPIs are steered against targets. Portfolio-wide rules, such as rolling out a measure across all assets within a set period or applying a standard target to every asset, can be applied on top.

Every strategy is expressed in the terms your Investment Committee uses: Capex and Opex over time, NOI, cash flows and DCF valuation, IRR, and value impact, alongside energy and carbon outcomes. Rents, values, discount rates, and cost assumptions are visible and editable, so the financial case can be challenged line by line.

Fund life, hold period, exit year, and liquidity limits are the constraints that make a capital decision fund-specific rather than generic. Strategies can be run and compared under different exit and budget assumptions, so you can see which assets to renovate then sell, hold, or exit, and which works pay back before the exit date.

Yes. The decision pack is designed for the people who approve, fund, or challenge a capital decision: it shows the recommendation, the alternatives, the assumptions, the sensitivities, and the evidence behind each number, and it can be reproduced and refreshed when conditions change.

Yes. Rent and value assumptions can be set per asset, and the Excel export includes the full DCF and cash-flow plan with rents and valuations, so rental uplifts from planned measures can be reflected in the return calculation.

A first assessment takes minutes. Enter the address, construction year, use type, and gross area, and Optiml returns the current energy and carbon position, the CRREM stranding risk, and a first set of strategies with indicative Capex. As due diligence data arrives, the same asset is refined rather than rebuilt.

Capex benchmarks come from national cost databases such as BKI (Germany) and BCIS (United Kingdom) and from Optiml's own multi-source benchmark distributions at postal-code granularity, refreshed semi-annually. For each component and location we assemble cost data points from developers, consultants, and databases, apply the local median, and extrapolate to thinner locations through labor-cost drivers. All cost parameters remain editable.

Green Capex is the delta against a like-for-like replacement. If an improved facade costs €700k and the like-for-like replacement €500k, the green Capex is €200k. Optiml reports this per intervention as a marginal Capex table, so the incremental cost of the transition path is visible separately from maintenance you would spend anyway.

Optiml applies the official CRREM decarbonization pathways (1.5°C and 2.0°C) directly in the platform, by country and asset class, at both asset and portfolio level, and computes the stranding year for every strategy. Energy intensity pathways are considered alongside carbon pathways. Custom pathways can be defined to reflect fund targets, investor requirements, or internal commitments.

From the optimized intervention schedule, Optiml reports the Capex needed to reach 2030 and 2050 CRREM alignment as absolute figures and classifies it as high (above 10% of Capex), medium (3% to 10%), or low (below 3%), split between landlord and tenant.

Yes. For every retrofit measure, embodied emissions are calculated from the quantity of newly installed components (by kg, m², or m³) multiplied by an embodied carbon factor per unit, using the Swiss KBOB database. Embodied carbon is included in the Minimum CO₂ strategy alongside operational emissions.

No. Optiml is software, not an auditing service. It produces decision-grade results from the data available and shows where a site visit would tighten them most. Where a regulator or lender requires a signed-off audit, that remains the role of a qualified consultant, who can work directly in Optiml with the client's data.

Yes. With whole-building metered data, the model is calibrated to the building. With partial data, calibrated zonal projections are used. Without metered data, archetype priors apply. The basis used is declared for every output, so a reviewer can see whether a figure rests on measured, inferred, or assumed inputs.

Optiml builds a 3D model of every asset (LoD 1.3) from public and client data to simulate the real building rather than a generic archetype. Where floor plans and zoning information are available, a more detailed representation with individual zones, HVAC assignments, and construction layers can be created.

Optiml is a software subscription (SaaS) priced per rentable floor area of buildings (in m² or ft²) per year, or in certain cases per building. Prices vary across the tiers.

Flexible one-year contracts include annual or monthly billing options. Billing can be tailored to entities, funds, portfolios, or countries, with pricing varying by the selected tier.

Yes. We provide a free 30-day trial for one building.