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Briq

AI-powered financial automation and WIP management for construction

Financial automation platform that standardizes and automates financial workflows across construction companies. Automates WIP generation, invoice processing, expense management, and financial forecasting by integrating data from Procore, accounting systems, and other financial tools.

Pricing
contact the vendor
Alternatives
Oracle Construction Intelligence Cloud (formerly Newmetrix), Hadrian X® by FBR, aurivus
Who it's for
Construction, Project Controls, Finance
$54M raisedGrowth Stage
Founded 2017 · 6+ documented major contractors including ACME Constructors ($60M annual volume), Bayley Construction ($200M), Metro Walls Inc. ($100M+), Shamrock Electric, Fessler & Bowman, Vantage Builders (precise customer count not disclosed)
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction finance teams waste 5-10 hours weekly manually consolidating financial data across Procore, accounting software, and spreadsheets to build accurate Work-in-Progress (WIP) reports. This manual process causes delayed financial insights, inaccurate revenue recognition, and missed cost overrun warnings that impact project profitability.

The Solution

Automates financial data consolidation by pulling information from multiple systems in real-time, standardizing formats, and generating accurate WIP reports, revenue forecasts, and cost analysis automatically. AI-powered anomaly detection alerts teams to cost overruns and billing issues before they escalate.

USAGE

How You Use It

Delivery Method
SaaS
Integrations
ProcoreSage 300 Construction and Real EstateViewpointCMiCQuickBooksAcumaticaMicrosoft Dynamics GPAccubidPlexxisCosentialSpectrumProcontractor
Disciplines
Construction
Workflows
Data & Automation
Project Phases
Construction Administration, Operations/FM
Project Types
Commercial, Industrial, Infrastructure, Residential, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Financial data from multiple systems, Project information, Billing data
Optional:Custom chart of accounts, Project budgets, Change order data, Manual overrides
Formats:API integration, CSV imports, Direct system connections
Output
What you get
Format:Financial dashboards, WIP reports, forecasting analytics, automated alerts
Fields:Work-in-Progress (WIP) status by project, Revenue recognition calculations, Cost-to-complete forecasts, Invoice and expense summaries, Cost overrun predictions and alerts, Financial anomalies and variances
Algorithm
How it works
Model:Proprietary AI combining process mining, machine learning, and transformer models (model details not publicly disclosed)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Project-based retention (duration not publicly specified); user control over data deletion
Training:Not publicly specified whether production data used for model training
Compliance:SOC 1 Type 2, SOC 2 Type 2, SOC 3, Two-factor authentication (2FA), Single sign-on (SSO), Data encryption, Role-based access controls
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Automated Work-in-Progress (WIP) report generation across multiple projects
  • ·Real-time consolidated financial dashboards from Procore and accounting software
  • ·Invoice and expense automation with anomaly detection
  • ·Revenue recognition and forecasting by project
  • ·Cost overrun prediction and risk alerting
  • ·Multi-system financial data consolidation without duplicate entry
PRICING

Pricing

Free
No free tier (contact for demo)
Pro
Custom pricing (tiered by company size and integration count)
Enterprise
Custom pricing with dedicated support, advanced compliance, and custom integrations
Sources & Research NotesResearch date: 2026-04-03
Data Sources (17)
Fields Checked (17)
name, vendor, website, yearFounded, maturityStage, fundingTotal, problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, customerBase, privacy-compliance, algorithm-approach, useCases
Not Found (7)
pricing-specific-tiers, api-documentation, algorithm-accuracy-metrics, data-retention-days, data-training-practices, algorithm-model-details, public-api-specification
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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