UK home adaptation intelligence
AI-powered intelligence for safer, more independent homes.
AdaptHome AI transforms traditional home accessibility assessments into personalised, evidence-driven adaptation plans — helping professionals understand what could work for a resident and their home before costly adaptation work begins.
Input 01
Resident profile
- Mobility & wheelchair use
- Walking aid dependency
- Functional needs
Input 02
Home environment
- Floorplan & layout
- Room photographs
- Access & circulation
Intelligence layer
AI analysis
- Risk-to-adaptation graph
- Adaptation simulation
- Spatial feasibility reasoning
Options
Adaptation options
- Bathroom
- Stairs / level access
- Doorway widening
Output
Ranked adaptation plan
- Prioritised recommendation
- Clear reasoning
- Assessor validated
- Resident-specific
- Evidence-driven
- Installability-aware
- Human-in-the-loop
The gap
Home adaptation decisions need more than a checklist.
Traditional assessments can be static, generic or fragmented. AdaptHome AI is designed to connect resident needs, the home environment, risks, adaptation options and installation feasibility into one reasoned decision.
Generic checklists
Standardised checklists treat very different residents and very different homes in much the same way.
Fragmented information
Resident information, home context, hazards and adaptation options often live in separate places.
Late feasibility surprises
Installation constraints may only become obvious once a contractor visits the property.
Traditional process
- Generic checklist
- Recommendation
- Installation issues
AdaptHome AI
- Resident + home
- Intelligence
- Compare
- Validate
- Ranked recommendation
- Outcome learning
“From generic accessibility checklists to personalised adaptation intelligence.”
About
Designed around the reality of home adaptation.
AdaptHome AI was developed around a real-world problem in the UK care and home adaptation environment — the distance between the information gathered at assessment and the ability to generate personalised, evidence-based adaptation decisions.
The founder, Uzair Bin Habib, has frontline experience across UK care and support roles, including working with elderly and disabled residents. That experience helped identify where assessment information stops short of a personalised, feasibility-checked adaptation plan. AdaptHome AI is built as decision-support technology: professional judgement stays central, and the platform is designed to support qualified assessors rather than replace them.
- Frontline care experience
- Observed adaptation challenges
- Technology concept
- AdaptHome AI
Uzair Bin Habib
Founder & CEO
- Frontline UK care and support experience with elderly and disabled residents
- BA (Hons) Marketing, University of the West of England
- B.Tech Higher National Diploma
Haziq Raheel
Chief Technology Officer
- MSc Computer Science, Ulster University
- IT consulting, systems migration and frontend engineering
- Responsible for technical architecture and platform development
Platform
One platform. From assessment to adaptation outcome.
AdaptHome AI brings resident information, home context, risk intelligence, adaptation comparison and feasibility reasoning into one connected platform.
Resident Digital Twin
Build a structured representation of the resident's functional needs and the home environment.
Mobility, wheelchair use, walking-aid dependency, cognitive needs, fall history and independence requirements are considered alongside home layout and room information.
MVP (basic representation)Risk-to-Adaptation Intelligence
Connect resident characteristics, hazards and potential adaptation options to identify relevant interventions.
Instead of treating every home as a generic checklist, the graph is designed to relate individual circumstances to specific home risks.
MVP (first generation)Adaptation Simulation
Compare potential interventions and assess their relative safety and independence benefits.
The MVP uses rules-based and statistical scoring; fully learned counterfactual simulation is planned for later phases.
Rules-based in MVPSpatial Feasibility
Consider whether an adaptation can realistically be installed within the physical constraints of the home.
The MVP uses a manual installability checklist validated by a human assessor. Computer-vision-assisted feasibility is on the roadmap.
Human-validated in MVPOutcome Learning
Use real-world adaptation outcomes to progressively improve future recommendations.
Completed assessments and installed adaptations are intended to feed outcome information back into the platform over time.
RoadmapCurrent MVP scope
Proving the assessment-to-recommendation loop
Resident needs
Reduced mobility / wheelchair use · Walking-aid dependency · Early-stage dementia
Adaptation categories
Bathroom adaptation · Stairs / level access · Doorway / circulation widening
What the MVP includes today
- Structured digital assessment questionnaire
- Resident functional profile
- Home layout capture via floorplans or room photographs
- Basic digital twin representation
- First-generation risk-to-adaptation graph
- Rules-based and statistical option scoring
- Manual installability checklist
- Assessor Dashboard and secure cloud data storage
Fully autonomous computer vision, fully learned AI simulation and automated spatial reasoning are roadmap capabilities, not current MVP features.
Experiences
Three experiences. One connected platform.
Assessor Dashboard
For occupational therapists and assessors.
Part of the MVP- Create cases
- Structured digital assessment
- Review resident information
- Review recommendations
- Prioritise caseload
- Support evidence-based decisions
Family / Resident Portal
Designed for accessible, plain-English communication.
Planned experience- Understand recommendations
- Understand why an adaptation is suggested
- Review decisions
- Support questions and approval
Commissioner / Contractor Console
For commissioners and contractors.
Planned experience- Reporting
- Audit
- Commissioning information
- Installability information
- Adaptation delivery support
How it works
From assessment to intelligent adaptation.
A structured, eight-stage workflow designed to keep the assessor in control at every decision point.
STEP 01
Assess
Capture the resident's functional profile.
- Mobility
- Walking aids
- Wheelchair use
- Cognition
- Fall history
- Independence needs
STEP 02
Capture the home
Capture the physical environment.
- Floorplans
- Room photographs
- Home layout information
STEP 03
Build the digital twin
Combine the resident's functional information with the home environment to create a structured representation.
STEP 04
Analyse risks
Use the Risk-to-Adaptation Intelligence Graph to connect resident profile, hazards and adaptation options.
STEP 05
Compare options
Evaluate potential adaptations and compare their relative benefits for safety and independence.
- MVP + Roadmap
STEP 06
Validate feasibility
Check whether the proposed adaptation is physically feasible and installable.
MVP: human-validated manual installability checklist. Roadmap: automated spatial feasibility reasoning.
STEP 07
Generate the plan
Produce a ranked adaptation recommendation with clear, evidence-driven reasoning that assessors can review.
- Roadmap
STEP 08
Learn
Real-world outcomes can feed back into the platform over time, so recommendations become progressively more evidence-based.
Roadmap
The closed loop
- Assess
- Understand
- Analyse
- Simulate
- Validate
- Recommend
- Learn
- Back to assessment
Market & pricing
Built for the organisations that commission and deliver adaptations.
AdaptHome AI is a B2B and B2G platform for UK local authority DFG teams, occupational therapy services, care providers and home adaptation contractors, with a planned accessible experience for families and residents.
Local authorities
Prioritise assessments, support defensible adaptation decisions and make better use of limited budgets.
DFG teams
Occupational therapists
Turn structured resident and home information into evidence-based adaptation recommendations.
NHS & social care
Contractors
Improve installability visibility and reduce avoidable redesign.
Delivery partners
Care providers
Standardise and audit accessibility decisions across multiple properties and residents.
Supported living
Families
Understand adaptation recommendations through clear, accessible explanations.
Secondary audience
Subscription tiers
Straightforward, recurring pricing.
PLAN 01
Core / Assessor Dashboard
From £75
per assessor / month
For individual assessors and teams beginning with the core assessment workflow.
- Assessor Dashboard
- Case creation and structured assessment
- Resident functional profile
- Home layout capture
- Ranked adaptation recommendations
- Manual installability checklist
PLAN 02
Professional Authority Plan
£150
per month
For teams requiring multi-caseload and reporting functionality.
- Everything in Core
- Multi-caseload management
- Team reporting views
- Caseload prioritisation
- Recommendation review workflow
PLAN 03
Enterprise Authority Plan
£300
per month
For larger local authority and care-provider accounts requiring full audit and commissioning features.
- Everything in Professional
- Full audit trail
- Commissioning information views
- Organisation-wide standardisation
- Secure cloud data storage
Pricing is benchmarked against comparable UK health and social care SaaS and occupational therapy case-management tools, while reflecting AdaptHome AI's additional predictive and feasibility-validation functionality.
Additional modules planned
- Per-assessment pricing
- Contractor feasibility-validation module
- Premium analytics / outcome reporting
- Family Portal subscription
Roadmap
A phased path from pilot to closed loop.
Year 1
Foundation & MVP
- Technical architecture
- Assessor Dashboard and MVP
- Three priority adaptation categories
- Pilot with approximately 2–3 UK partners
- Collect feedback and outcomes
- First Risk-to-Adaptation Intelligence Graph
Year 2
Platform expansion
- Kitchen adaptations
- Lighting / sensory adaptations
- External access
- Assistive technology integration
- Computer-vision-assisted spatial feasibility
- Family / Resident Portal and Commissioner / Contractor Console
Year 3
Full closed loop
- Fully learned counterfactual simulation
- Full outcome-learning engine
- UK-wide commercial availability
- Initial international market exploration
FAQ
Questions from commissioners, assessors and partners.
Pilot engagements
Make every adaptation decision more informed.
See how AdaptHome AI can support your assessment, adaptation and commissioning workflow.
AdaptHome AI is decision-support technology for qualified professionals. It does not provide medical diagnosis and does not replace clinical assessment.