Albiware vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Albiware

ChallengerConstruction Tech

General

Illinois insurance damage repair contractor management platform (CRM/project mgmt/field docs/scheduling); YC S22 $3M Frontier Growth Series B Aug 2025 with 38 employees competing with JobNimbus and AccuLynx for storm restoration contractor software.

AI VisibilityBeta
Overall Score
C54
Category Rank
#186 of 1167
AI Consensus
47%
Trend
stable
Per Platform
ChatGPT
47
Perplexity
64
Gemini
47

About

Albiware is a Downers Grove, Illinois-based construction technology company — backed by Y Combinator (S22) with $3 million in total funding including a Series B round led by Frontier Growth in August 2025 — providing property insurance damage repair contractors (storm damage, fire restoration, water mitigation, roofing contractors) with an all-in-one business management platform that replaces the fragmented combination of CRM, project management, field documentation, scheduling, business intelligence, marketing automation, and HR management tools that insurance repair contractors typically manage across 5-10 separate systems. Founded in 2020 by Alex Duta and Shamoil Soni and operating with a 38-person team, Albiware serves the specialized niche of contractors who work within the property insurance claims process — a workflow-intensive business model where documentation quality, adjuster communication, and claim cycle time management directly determine contractor profitability and customer satisfaction.

Full profile

Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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