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Nonlinear

No-code AI workflow automation for AEC firms

Visual no-code platform that enables AEC firms to build, customize, and deploy AI workflows for automating repetitive tasks like submittal reviews, QA/QC, estimating, and proposals without coding.

Pricing
free tier, contact the vendor
Alternatives
Knetyc, HaloSHARE, data copilot
Who it's for
Architecture, Structural Engineering, MEP Engineering
$1.1M raisedEarly Stage
Founded 2023 · 3+ early adopters (Preload, Gulf Coast Underground, PAE Engineering)
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

AEC teams waste significant time on repetitive, document-intensive tasks like submittal reviews, RFI processing, and QA/QC checks. Manual reviews of specifications, drawings, and compliance requirements can consume 5-10 hours per week per person and delay project timelines.

The Solution

Nonlinear provides a visual no-code builder that enables non-technical team members to create AI workflows tailored to their firm's processes. Workflows automatically extract data from documents, check compliance, route submissions, and populate templates—meeting teams where they work (email, Teams) rather than requiring new platform adoption.

USAGE

How You Use It

Delivery Method
SaaS
Integrations
Autodesk Construction CloudProcoreMicrosoft OutlookMicrosoft TeamsSharePointEgnyte
Disciplines
Architecture, Structural Engineering, Mep Engineering, Construction
Workflows
Visualization & Presentation
Project Phases
Bidding/Procurement, Construction Administration
Project Types
Commercial, Residential, Mixed-Use, Infrastructure
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project documents, PDF files, Email submissions
Optional:Specifications, Drawings, Previous workflows, Custom templates
Formats:PDF, Email attachments, Files in integrated systems (Procore, ACC)
Output
What you get
Format:Automated actions and extracted data
Fields:Extracted document information, Compliance flags and alerts, Routed submissions to responsible parties, Populated templates and proposals, Task assignments and notifications
Algorithm
How it works
Model:Proprietary AI for document understanding (model details not publicly specified)
Accuracy:Not publicly specified
Privacy
How your data is protected
Retention:Project-based retention (specific duration not publicly specified)
Training:Not publicly specified whether customer data is used for model training
Compliance:SOC II compliant
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Automate submittal review workflows with compliance checking
  • ·Extract data from PDFs and populate proposal templates
  • ·Flag non-compliant materials or specifications
  • ·Route RFIs to responsible parties based on contract deadlines
  • ·Perform QA/QC on specifications and drawings identifying discrepancies
  • ·Automate quantity takeoffs and estimating from design documents
PRICING

Pricing

Free
Not publicly available
Pro
Contact vendor for pricing
Enterprise
Custom pricing with dedicated support
Sources & Research NotesResearch date: 2026-02-01
Data Sources (7)
Fields Checked (22)
vendor, website, fundingTotal, yearFounded, maturityStage, problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, input-required, input-optional, input-formats, output-format, output-fields, algorithm-approach, privacy-compliance, control-features, use-cases, customerBase
Not Found (8)
pricing-tiers, api-documentation, algorithm-model-details, privacy-training-data, privacy-retention-duration, algorithm-accuracy-metrics, api-rate-limits, complete-customer-list
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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