
Bridgit is the leading AI workforce planning software built exclusively for construction. Trusted by over 40% of the ENR 400, Bridgit gives general contractors and specialty contractors a single source of truth to align business development and operations, forecast labor demand, and build high-performing project teams with confidence.
Construction workforce planning is too complex for spreadsheets and disconnected tools. Bridgit replaces scattered emails, whiteboards, and siloed systems with one clear, real-time view of your people, projects, and pipeline — so operations leaders can plan ahead, staff smarter, and protect margins.
Bridgit AI delivers intelligent staffing recommendations, experience-based matching, and 5-year scenario forecasting powered by your own data. Track skills, certifications, project history, and utilization across your entire workforce — from long-term project admins to craft workers in the field.
Bridgit connects seamlessly with the tools contractors already use, including Procore, Autodesk Construction Cloud, Salesforce, BambooHR, Unanet, and more — eliminating double data entry and keeping every team aligned.
Recently expanded to serve specialty contractors with purpose-built Labor Forecasting and Crew Management capabilities, Bridgit is now the definitive workforce planning platform for the full construction workforce.
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Okyline is an Executable Data Design (EDD) platform focused on executable validation contracts and operational data quality control.
Rather than managing separate specifications, validation code, tests, and monitoring dashboards, Okyline centralizes validation and quality supervision around a single readable executable contract acting as the operational reference for enterprise data flows.
The same contract powers deterministic validation, advanced business invariant checks, multi-format execution, data quality gates, and historical quality analytics across APIs, events, files, LLM structured outputs, and distributed operational systems.
Contracts are designed directly from annotated sample data, making validation rules immediately understandable for developers, architects, QA teams, and business analysts.
The Community Edition includes the public specification, a free Java runtime engine, a Claude AI assistant for contract generation, and an online studio supporting executable JSON validation contracts and JSON Schema transpilation.
The Enterprise Edition adds native validation for JSONL, XML, CSV, FIXED, and EDI flows together with operational quality dashboards and data quality gates, without requiring databases or centralized infrastructure.erprise Edition supports direct validation of JSON, JSONL, XML, CSV, FIXED, and EDI flows with operational quality dashboards and analytics, without databases.
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Veovo
Veovo’s Intelligent Airport Platform offers a holistic solution that integrates flight operations, passenger traffic, and revenue management within a cohesive framework. By utilizing real-time data, machine learning, and analytics, it empowers airports to effectively plan, anticipate, and enhance their performance across various domains such as flight management, resource allocation, flow control, passenger prediction, queue oversight, capacity enhancement, and financial management. This platform facilitates the consolidation, verification, and enrichment of data, establishing a singular truth for all airport stakeholders and fostering more informed decision-making, agile resource distribution, and heightened operational resilience. The Flight Management & AODB component specifically allows users to oversee and control scheduled flight operations in real-time, which significantly improves coordination between airside and landside activities. Consequently, this enhances the overall efficiency of airport operations, ultimately leading to a better experience for travelers.
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GroundStar
GroundStar, an innovative Airport Resource Management solution developed by INFORM Software, aims to enhance the efficiency of fixed airport infrastructure, including stands, gates, baggage belts, and check-in counters. The system empowers airports to strategically manage their capacity over various timeframes—short-, medium-, and long-term—by utilizing advanced optimization algorithms that take into account specific business regulations, preferences for stands and gates, and limitations related to infrastructure. Additionally, it facilitates complex what-if scenario modeling and provides real-time decision-making support, enabling resource managers to swiftly adapt to any unexpected changes or disruptions. By employing advanced machine-learning analytics alongside historical data insights, the software forecasts resource demand and assists in reducing bottlenecks, thus promoting a more strategic allocation of resources on operational days. Ultimately, this leads to improved punctuality and heightened satisfaction for both passengers and airlines, contributing to a more streamlined airport experience.
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