Real estate developers move slowly because the tools they rely on were built for another era. Hectra replaces fragmented spreadsheets, manual feasibility modelling, and disconnected project workflows with a single, AI-native platform — built by practitioners, for practitioners.
A typical feasibility study takes two to four weeks. By the time analysis is complete, the deal window has often closed or a competitor has moved first.
Spreadsheets, project trackers, lender templates, and investor packs that don’t connect create duplication, version errors, and compounding execution risk.
Structuring financing without clear visibility of lender appetite, product terms, and submission standards delays drawdown and inflates the cost of capital.
Hectra integrates AI tooling, financial analysis, and project delivery into a single environment — so developers stop stitching together point solutions and start executing with confidence.
Hectra automates the most time-intensive part of the deal cycle. Input deal parameters and the platform produces a full feasibility model — IRR, DSCR, profit margins, and sensitivity tables across multiple scenarios — in hours, not weeks. Models are calibrated to real-world construction cost data, current planning frameworks, and live financing benchmarks.
Structuring debt is as much an information problem as a financial one. Hectra aggregates lending product data, benchmarks terms across development finance providers, and generates bank-ready submission packs formatted to lender requirements — reducing the back-and-forth that delays drawdown. Mezz and equity structuring tools included.
The gap between a viable underwriting model and a delivered asset is where most value is lost. Hectra’s project management layer provides milestone tracking, contractor and stakeholder coordination, and automated investor reporting — keeping every party aligned from groundbreak to practical completion.
A selection of engagements where Hectra’s tooling compressed timelines, improved underwriting accuracy, and supported capital raising across different asset types.
A NYC Metro investment firm was evaluating a value-add multifamily acquisition with a tight exclusivity window. The operator needed a full underwriting model, scenario analysis across repositioning options, and a financing pack covering both conventional and Shariah-compliant debt structures. Hectra built the integrated model, ran base, upside, and stress scenarios calibrated to current Metro rent growth assumptions, and produced a consolidated lender submission within 10 days of instruction.
A Belgian real estate operator was evaluating the acquisition of a mixed hospitality asset comprising a traditional hotel, a serviced apartment block, and an apart-hotel — three distinct income streams with different occupancy drivers, cost structures, and financing profiles. Hectra built an integrated underwriting model that consolidated all three revenue lines under a single feasibility framework, modelled blended yield and NOI under nine occupancy scenarios, and produced a consolidated financing pack that enabled the operator to approach lenders with a coherent, single-asset narrative despite the operational complexity.
A pan-European build-to-rent operator expanding across five markets was running inconsistent underwriting processes — different models, different cost assumptions, and no version control between country teams. Hectra standardised the acquisition underwriting template across all markets, integrated live comparable transaction feeds, and implemented an IR reporting layer that replaced four separate manual outputs with a single automated investor update. Deal screening time fell by 65% within the first quarter of deployment.
Built by people who have sat on both sides of the table — as developers and as capital partners — Hectra addresses the structural friction points that generic software ignores.
Feasibility modelling, scenario testing, and sensitivity analysis run in parallel — automatically. What used to require an analyst and three weeks now runs overnight. Developers can screen more opportunities and act on the best ones before the market moves.
Hectra scores and ranks incoming opportunities against your return thresholds, capital constraints, and risk appetite. It surfaces the highest-conviction deals and flags structural problems early — before you’ve committed due diligence spend on a deal that won’t stack.
Planning records, zoning data, comparable transactions, and regulatory filings are pulled directly into the underwriting model. Assumptions are validated against live data rather than analyst judgment — reducing the risk of costly oversights at acquisition or planning stage.
Spreadsheets, lender templates, project trackers, and investor packs consolidated into one connected environment with version control and full audit trail. When a cost assumption changes, it flows through the model, the financing pack, and the investor update automatically.
Formatting and populating lender submission documents is manual, repetitive, and error-prone. Hectra generates structured, professional-grade packs in a fraction of the time — formatted to development finance lender requirements and checked against standard approval criteria.
Consistent, professional investor updates build trust and reduce ad hoc requests from capital partners. Hectra produces formatted IR memos from live project data automatically — so stakeholders stay informed without the team spending hours on manual preparation.
A linear workflow that removes the gaps between deal origination, underwriting, financing, and delivery.
Submit deal parameters — location, asset type, site area, target returns. Hectra benchmarks the opportunity against comparable transactions and flags structural issues immediately.
The platform generates a full financial model with base, upside, and downside scenarios. Cost inputs are calibrated to current construction data. Output includes pro forma, IRR, profit margin, and DSCR.
Hectra compares lending products, models debt structure options, and generates a formatted submission pack ready for lender review — with assumptions linked directly to the feasibility model.
Project management tools track delivery against programme. Automated investor reporting keeps capital partners informed throughout construction — from first drawdown to practical completion.
Hectra was built by people who have worked across the full real estate stack — from asset operations to development finance. The platform reflects the problems they encountered firsthand, not hypothetical ones.
Operational background spanning hospitality, logistics, and healthcare real estate, with a focus on driving value through asset performance and tenant outcomes. Sakina leads Hectra’s delivery infrastructure, bringing cross-sector rigour to the project management and reporting layer of the platform.
Background in development finance and multi-purpose asset underwriting, with experience across residential, mixed-use, and commercial portfolios. Mohammad shaped Hectra’s financial modelling architecture and financing intelligence module — drawing directly from the frustrations of structuring deals with inadequate tools.
Schedule a walkthrough with one of our founders. We’ll map Hectra’s capabilities to your current pipeline and show you exactly where the platform adds the most value.
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