Back to Cases
#arrow-left

Unibrix

Engineering / Knowledge Base

#menu

Cases / FinTech / Avail

BLOG_ARCHIVE

#logo
#close
Start building now
#arrow-right
Get in touch
#envelope
LET'S BUILD

Ready to start your project?

Tell us about your challenge. We'll engineer a solution that scales with precision.

We typically respond within 24 hours
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
KNOWLEDGE REPOSITORY

Avail

[ AI DUE DILIGENCE & REPORTING TOOLS ]

TRANSFORMING LEGAL DUE DILIGENCE WITH AI-POWERED REPORTING THAT CONVERTS LAND PLANS INTO STRUCTURED INSIGHTS FOR REAL ESTATE AND LEGAL TEAMS

CATEGORY
FinTech / Legal Tech / AI
TIMELINE
SCOPE
AI-powered reporting, data retrieval, interactive mapping, cloud infrastructure
STATUS
● DELIVERED
SERVICES PROVIDED
#brain
AI Integration
#location-marker
Interactive Mapping
#cloud
Cloud Infrastructure
TECHNOLOGY STACK
Angular
HTML
CSS
Website header with text 'Accelerate reporting on leases with artificial intelligence' and cartoon of a person in a spacesuit holding a flashlight.
01
STEP 01 — Project overview

Assembly Requirements

MODULE INVENTORY (5 COMPONENTS)

Avail is an AI-powered solution designed to simplify the workflow of real estate agents and lawyers. By uploading land or building plans, users can generate multiple reports swiftly.

Leveraging extensive databases and pre-trained AI tools, Avail ensures efficiency and accuracy throughout the process. The application retrieves crucial data based on land or building title numbers, offering comprehensive insights.

Users can also utilize interactive maps to visualize lease objects, or to choose any particular building on a map for future reporting.

Primary focus
#dot
Helping teams handle large volumes of due diligence data
#dot
Strengthening cloud infrastructure for reliable processing
#dot
Designing clear, intuitive interfaces for complex workflows
What we delivered
#dot
AI-assisted reporting flows for land/building plan uploads
#dot
Data retrieval logic tied to title numbers for structured insights
#dot
Interactive map experience to support object selection and visualization
#dot
Cloud-focused improvements to support performance and stability
02
STEP 02 — CHALLENGES IDENTIFIED

Assembly Requirements

MODULE INVENTORY (5 COMPONENTS)
REQUIRED CAPABILITIES
A
#checked
Engagement
Making due diligence workflows fast and usable for both real estate agents and lawyers without overwhelming users.
B
#checked
Structure
Connecting uploaded plans, title-based data retrieval, and generated reports into a consistent and reliable system.
C
#checked
Scalability
Supporting heavy data processing with cloud infrastructure that stays stable as usage and datasets grow.
03
STEP 03 — ASSEMBLY PROCESS

Solution Architecture

MODULE INVENTORY (3 COMPONENTS)
MODULE 3.1
● DUE DILIGENCE ENGINE

A reporting workflow that combines uploaded land/building plans with database-driven retrieval based on title numbers, producing structured insights efficiently.

Diagram showing process steps: Upload Plans with land/building docs, AI Processing for data extraction, Generate Reports with structured output, and Title-Based Retrieval for automated data retrieval of property information.
MODULE 3.2
● USER WORKFLOWS

Clean, minimal interfaces were designed to hide Web3 complexity, allowing users to interact with decentralized systems intuitively across mobile and browser environments.

Interactive map showing three colored property areas with details for LA423928 including address, ownership, and owner; list of lease objects with addresses and owners on the right; captions describe visual selection and lease objects features.
MODULE 3.3
● PLATFORM STABILITY

Infrastructure improvements focused on performance, reliability, and scalability for data-heavy processing and report generation.

Three colored boxes labeled Performance, Reliability, and Scalability with key points including optimized processing, stable uptime, and growth-ready features.
Infrastructure Focus: Built to handle data-heavy processing workloads with consistent performance across varying usage patterns and dataset sizes.
04
STEP 04 — RESULTS

Delivered Impact

MODULE INVENTORY (5 COMPONENTS)
Lowered Barriers
ADOPTION
Simplified workflows for real estate
agents and lawyers
AI-Powered
ARCHITECTURE
Automated data extraction an
d report generation
Universal Access
PLATFORM REACH
Cloud-based accessibility
for all team members
PERFORMANCE OUTCOMES
A
#checked
Simplified legal due diligence workflows for real estate and legal teams
A
#checked
Enabled fast report generation from uploaded plans and title-based data
A
#checked
Improved reliability and scalability for data-heavy processing
A
#checked
Delivered a clearer, map-supported user experience for complex selection flows
ASSEMBLY PHILOSOPHY
We don't just code.
We build systems.
Piece by piece,
designed to snap perfectly
into your vision.
#dot-circle
#dot-circle
#dot-circle
#dot-circle
Start building now
#arrow-right