Indicative screening · France pilot coverage

Compare building options.
See every assumption.

Terra.ai helps property teams explore retrofit, solar and site scenarios in reviewable feasibility workflows. Start with an example or scope an assisted pilot.

8
Documented workflows
France
Current building coverage
Visible
Inputs and assumptions
Required
Professional review
Current release boundaries
Screening
Indicative outputs
France
Building pilot
Oman
Fuel sensitivity only
Review
Expert validation needed
About

Transforming complex data into strategic intelligence.

Human-AI develops Terra.ai, a set of early-stage tools for comparing construction, retrofit, solar and site assumptions. Outputs are designed for review and remain indicative until checked by qualified professionals.

Scenario comparison
Baseline and intervention inputs
Visible assumptions
Methods and limits alongside results
Site review
Maps where the workflow supports them
Synthetic examples
Clearly separated from customer data
Country scope
Coverage shown before sign-in
Decision support
Outputs require professional review
Why now

Cities are racing to decarbonize. Capital is harder to allocate. Every infrastructure decision needs to be explainable — not just optimized.

The current release is best suited to assisted feasibility work in France. Gulf workflows require a named country pack and local validation before decision use.

FR
Building pilot
OM
Fuel sensitivity
GCC
Partner validation
Why Human-AI

Built for transparent and reviewable screening.

Inputs, assumptions, source dates and current coverage should be visible before a result is used.

01

Explainable AI

Every prediction comes with transparent reasoning and counterfactuals.

02

Causal Intelligence

Beyond correlation — model interventions and what-if scenarios.

03

Explicit status

Example, screening and pilot states are labeled in the workflow.

04

Input validation

Supported ranges and missing information are shown to the user.

05

Country boundaries

Translation does not unlock an unsupported ruleset.

06

Reviewable output

Results include assumptions and are not professional certification.

07

Simple architecture

A React website connects to a combined React and FastAPI application.

08

Operator verification

Hosting, regions and certifications are confirmed during procurement.

Country-specific scope

Validate one Gulf country at a time.

Gulf workflows need local tariffs, currencies, climate assumptions and qualified partners. The current explicit Gulf fit is an Oman retail-fuel sensitivity demonstration; other country packs remain validation work.

  • Separate country, language, currency and ruleset
  • Use OMR with three-decimal precision for Oman
  • Validate solar tariffs, carbon factors and engineering inputs locally
  • Professionally review Arabic terminology before release
OM
Fuel sensitivity demo
SAR/AED/QAR
Country packs pending
AR
Professional review pending
Regional CoverageStatus
OmanOM
Fuel sensitivity demo
24.7°N
Saudi ArabiaSA
Partner validation needed
27.5°N
DubaiAE-DU
Utility inputs needed
25.2°N
Abu DhabiAE-AZ
Utility inputs needed
24.4°N
QatarQA
Country pack needed
48.8°N
FranceFR
Building pilot coverage
52.5°N
Illustrative buyer workflow · No customer claim

From building inputs to a reviewable feasibility brief.

A proposed France pilot starts with one building, records source data once, compares retrofit and solar assumptions, asks a qualified reviewer to resolve gaps, and prepares an indicative brief. This workflow is a product hypothesis awaiting owner selection and customer validation.

Building intakeRetrofit scenariosSolar screening
"Illustrative workflow only. No customer outcome, turnaround or savings result is asserted."
— Evidence status: pending validation
1
Defined building or site
2–3
Comparable scenarios
Visible
Assumptions and gaps
Pending
Qualified review
Engagement Model

Scope, turnaround, price and success criteria are agreed with the owner and reviewer before a pilot begins.

Technology

A simple current application architecture.

The website is a TanStack React application. It links to a separately deployed combined React and FastAPI application packaged in Docker. Hosting region, backups and key management require operator confirmation.

Architecture
Current Terra.ai application architectureThe TanStack React website links to a separately deployed React user interface and combined FastAPI model API. The core is packaged as one Docker image and currently uses local storage by default. Some workflows call external providers.FrontendTanStack · ReactWebsite serverAuth · public intakeTerra.ai appSeparate deploymentReact UIApplication shellFastAPICombined APIModel codePython modulesLocal storageCurrent core defaultDockerSingle imageExternal providersPer workflowCURRENT IMPLEMENTATION · OPERATOR DETAILS PENDING
TanStack React websiteReact applicationFastAPI backendDocker package
Stack
React
TanStack
TypeScript
Supabase client
Python
FastAPI
Docker
REST endpoints
Contact

Book a strategic AI demonstration.

Tell us about your building, site or country-specific use case. We will review the scope and respond with feasible next steps; timing is agreed after review.

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