A consultant-led site study takes four to eight weeks and arrives as a PDF you cannot interrogate. PlanIQ produces the same rigour in an afternoon — cadastral areas measured by a real spatial engine, twenty-five candidate uses screened through four gates, a period cash-flow residual, and a risk distribution instead of a single number. Every figure traces back to the evidence it came from.
Nobody doubts the quality of a good feasibility consultant — the problem is throughput and repeatability. A study costs weeks and a fee, so you commission one per site, on the sites you already like. The scheme you did not test, the use you did not consider and the downside you did not model never appear. Meanwhile the in-house workbook that fills the gap has no provenance, no version history and no way to show an investment committee why a number is what it is. PlanIQ is not a replacement for judgement — it is the machine that lets judgement be applied to every site, every use and every downside, with the working attached.
Not a GIS viewer with a spreadsheet bolted on. Every module is shaped around how land actually gets underwritten.
Cadastral boundaries, flood, slope, soil and road networks resolve to a net buildable footprint using real geometry operations — hazards that overlap are dissolved and deducted once, not double-counted. Areas are computed in the local projected CRS, never in degrees.
Every candidate use is screened against the site's own measured constraints, then its zoning, then its economics, then ranked by productivity. Each rejection carries a coded reason and the threshold that produced it.
A period-by-period cash flow with escrow release, debt drawdown capped at the binding constraint, interest capitalised to practical completion and expensed after. The residual is a stated formulation, not a rule of thumb — and it exports to CSV.
Price, cost, absorption and interest sampled across thousands of iterations to produce P10/P50/P90 returns and a hurdle-clearing probability — then an efficient frontier across scheme configurations, tested for Pareto dominance rather than labelled by hand.
Blend the surviving uses into phased configurations bounded by real catchment demand, with a cap status that refuses to propose more of a use than the trade area can absorb.
Measure a sponsor's proposed scheme against the optimiser's own benchmark, parameter by parameter, with a fragility rating and a written mitigation for each gap. It answers "why is our scheme worth less than it could be" in a table.
Planning regimes are versioned and effective-dated, with forward schedules for rules that have been published but not yet commenced. A pinned verdict always names the exact regime it was decided under.
Public registry spine, operational exhaust, municipal master plans and commissioned field research ingest continuously. The same unit listed on four portals collapses into one canonical record, with confidence that rises as independent sources agree.
Screening memo, investment-committee paper, lender study or master-developer brief — compiled from the pinned baseline rather than retyped, stamped with the study version and carrying a confidence level that cannot be suppressed.
Not mockups. Every screen below is live in the PlanIQ demo environment today.
The funnel is not decorative. Each candidate use meets the site's measured net buildable area, its slope, its soil bearing, its flood exposure and its road frontage before it is allowed to meet the zoning — and the zoning before it is allowed to meet the money.

Gross development value, total development cost, net present value and the residual land value — each derived from a period cash flow you can open, read and export. Escrow release, debt drawdown, capitalised interest and peak equity are modelled, not assumed.

A single IRR is a guess wearing a suit. PlanIQ samples price, cost, absorption and interest across thousands of iterations to report P10, P50 and P90 alongside the probability the scheme clears its hurdle at all. Every scheme configuration is then tested for Pareto dominance: a configuration sits on the efficient frontier only if nothing else offers both a higher expected return and lower volatility.

Registry spine, operational exhaust, municipal master plans and field research arrive through a feed registry that tags each record with its source, how it was acquired, when it was valid and how far it is trusted — and marks whether a value is evidence-derived or merely asserted.

Most underwriting tools are static: they compute what you tell them and forget. PlanIQ closes the loop. Two flywheels turn — one on your own delivered projects, one on the open market — and both feed the same place: how widely the model is willing to bet.
When a study's baseline is locked for underwriting, PlanIQ writes an immutable prediction snapshot — the input assumptions, the model parameters, the confidence interval, and the predicted gross development value, IRR, absorption velocity and residual. It is never edited; it is the record of what you believed, and when.
As those projects complete, the realised outcomes are matched back against the prediction. The difference becomes a forecast error in basis points, and from that PlanIQ builds a scorecard per source: the signed bias (is this source systematically optimistic or pessimistic), the RMSE, a Brier-style accuracy score, and the mean absolute percentage error.
Then it acts on it. That MAPE feeds forward into the next Monte Carlo run as a variance multiplier — a source with perfect calibration widens nothing, and a source that has historically been fifty per cent out doubles the spread of every distribution it informs. A forecaster with a track record of optimism does not merely get a footnote in the file: the model measurably stops trusting them as tightly, and the investment committee can see exactly why the bands got wider.

Alongside your own history, PlanIQ ingests the open market continuously across four distinct layers — the public registry spine (transactions and cadastre), operational exhaust (broker and MLS activity), the municipal master plan (permits and planned infrastructure) and commissioned field research. Each layer carries its own trust weighting; none is treated as ground truth simply because it arrived.
The value is not the volume, it is the agreement. When the same underlying unit surfaces on four competing portals, permit-keyed entity resolution collapses it into a single canonical record and raises its resolution confidence with each independent re-delivery that agrees — because four sources concurring is evidence, and the same source repeating itself is not.
That evidence depth then sets the width of the risk bands directly. A scheme priced against ninety corroborated comparables is modelled tighter than one priced against twelve, and the widening factor is recorded on the run so an underwriter can see the difference rather than infer it. Planned infrastructure is handled with the same honesty: a metro extension is real registry data about something that has not been built, so it carries a realisation probability rather than a promise.

Two walkthroughs — one from the analyst's seat, one across the whole underwriting and governance chain.
Analyst walkthrough
Ingest a parcel, measure the buildable footprint, screen every candidate use through the four gates, and land on a defensible residual land value.
Platform walkthrough
Stress the scheme across thousands of iterations, read the efficient frontier, lock the baseline and compile the investment-committee deliverable.
There is no like-for-like product to line up against, so this compares PlanIQ to what land actually gets underwritten with today: a commissioned consultant study, or the workbook someone built in-house.
| Capability | PlanIQ | Consultant-led study | In-house spreadsheet |
|---|---|---|---|
| Turnaround for a new site | ● Same day | ✕ 4–8 weeks | ◑ Days, if the model fits |
| Cost of testing one more scheme | ● Marginal | ✕ A new engagement | ◑ Rebuild by hand |
| Buildable area from real geometry | ● Spatially measured | ◑ Manual GIS pass | ✕ Estimated |
| Candidate uses actually screened | ● 25 per site | ◑ The two or three discussed | ✕ The one modelled |
| Reason recorded for each rejection | ● Coded, per gate | ◑ Narrative | ✕ None |
| Risk expressed as a distribution | ● P10 / P50 / P90 + clearing probability | ◑ A sensitivity table | ✕ A single number |
| Efficient frontier across configurations | ● Pareto-tested | ✕ Not attempted | ✕ Not attempted |
| Planning rules versioned & effective-dated | ● Rule packs, with forward schedules | ◑ In the consultant's head | ✕ Hard-coded |
| Provenance on every input | ● Source, as-of & confidence | ◑ Footnotes | ✕ None |
| Forecast accuracy measured after delivery | ● Bias, RMSE & MAPE per source | ✕ Rarely revisited | ✕ Never |
| Model tightens as evidence accumulates | ● Variance adjusts from measured error | ◑ Consultant's judgement | ✕ Static |
| Audit trail an examiner can follow | ● Immutable, content-hashed | ◑ The document itself | ✕ Last edited by… |
| Source code ownership & white-label | ● You own & rebrand it | ✕ Not applicable | ◑ A file on a laptop |
| Hosting & data residency control | ● Your infra, any region | ✕ The consultant's systems | ◑ Wherever the file went |
| Commercial model | ● One-time perpetual licence | ✕ Fee per engagement, forever | ◑ Free, then expensive |
● built-in · ◑ partial / requires work · ✕ not available. PlanIQ is not a substitute for professional judgement or for a formal valuation where one is required — it is the instrument that lets that judgement reach every site instead of the few you had time to commission.
When a study costs weeks you only commission the sites you already believe in. When it costs an afternoon you test the ones you would otherwise have passed on — which is where the mispriced land actually is.
Every headline number opens into the cash flow, the evidence and the rule pack that produced it. "Where did that come from" stops being an awkward question.
Assumptions, verdicts and outcomes live in the platform rather than in one analyst's workbook — and the record of what you believed is immutable.
Each delivered project and each ingested feed sharpens the priors. The platform you own in year three is measurably better calibrated than the one you installed.
PlanIQ is not SaaS. Under a source-available license you receive a copy of the source code, brand it as your own, deploy it wherever you choose, and keep full control of your data and your roadmap.
You receive the complete source under a perpetual license. Read every line, audit the models your committee relies on, and never be held hostage to a vendor's roadmap or release cadence.
White-label from the ground up — your name, logo, colours and domain across the analyst workspace and every generated deliverable. Committee papers go out under your mark, not ours.
Your cloud, your on-prem data centre, your region of choice. No mandatory vendor cloud, no per-seat metering, no usage caps that throttle how many sites you can screen.
Which sites you are looking at is among the most commercially sensitive data you hold. It sits in infrastructure you own — not in a vendor's multi-tenant cloud alongside your competitors' pipelines.
Add a jurisdiction, change a residual formulation, wire in a proprietary data source. The code is yours to evolve — by your team or ours — as your mandate changes.
A one-time license to the delivered version, yours to run indefinitely. No subscription that can be switched off in the middle of a live acquisition.
Screen a whole land bank, phase the mix against real catchment demand, and defend the programme.
A downside distribution and a hurdle-clearing probability, with the cash flow open beneath it.
Test the sites you would have passed on — and price risk from evidence rather than instinct.
Effective-dated rule packs and realisation-weighted infrastructure for public land disposal.
PlanIQ pairs decades of business-critical engineering with an AI-powered delivery model — so you get depth and speed, not a trade-off between them.
Implementation partner
For 25 years, BlastAsia has built and implemented business-critical software for global enterprises — bringing deep engineering discipline, domain expertise and delivery rigor to every PlanIQ deployment.
AI-Powered Software Factory
Xamun is an AI-powered software factory that brings speed and reliability to commercial software delivery at scale — compressing what once took years into months, without sacrificing quality.
Book a 30-minute walkthrough with a parcel of your choosing, or jump straight into the live demo environment and click through it yourself.