VERTICAL AI PLATFORM FOR THE CONSTRUCTION INDUSTRY
Simplify complex workflows and streamline knowledge management
with CONXAI’s No-Code Agentic Automation
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Lack of systematic knowledge retention hinders productivity growth and improvements
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The construction industry is highly complex, involving varied stakeholders, unique projects, and constant cost pressures, often leading to assumption-driven decisions.
Although data-rich, it struggles to convert data into actionable insights due to fragmented sources and lost or inaccessible information.
Limitations of Existing AI Approaches
Existing AI approaches in the construction industry
remain limited in applicability, scalability and affordability
- AI point solutions cannot easily adapt to new use cases or variations, reducing their overall utility
- Poor interoperability with other systems/software increases fragmentation and creates IT management headaches
- Horizontal AI lacks AEC-specific knowledge, leading to poor performance in construction use cases
- Requires major changes in design, training, and data to handle new tasks and industry complexities
- Custom-built AI solutions are expensive, time-intensive, and risks obsolescence in a rapidly evolving AI landscape
- Requires ongoing data labeling, and results in slower deployment with higher maintenance costs
Our Technology
CONXAI is purpose-built for construction, combining advanced AI with deep industry knowledge to analyze diverse data and automate workflows. Our AI application layer is designed to integrate effortlessly into your real-world workflows
Meticulously curated datasets of project lifecycle data across different stages and processes
Knowledge representation encompassing traditionally tacit, unstructured and undocumented knowhow
The domain ontology and the use case adaptability are continuously enhanced by user feedback
CONXAI’s AEC Vision Transformer identifies and localizes various domain-relevant features
Our GenAI architecture understands the visual layouts and textual semantics of AEC documents
Dynamically executes relevant use-case logic and incorporates predictions from diverse ML models
Seamlessly integrate rich repository of Machine Learning capabilities and relevant business logic
Enables swift creation and refinement of workflows via natural language and intuitive graphical interfaces
Instant incorporation of user-inputs and feedback via few-shot in-context learning
Our advanced MLOps architecture enables rapid iteration, dynamic scaling, maximum throughput and cost efficiency
Fully compatible with all leading cloud infrastructures and effortlessly integrates into the client’s enterprise IT ecosystem
Seamlessly integrates with external systems, applications, and AI agents, combining reliability, scalability, and security with flexibility, adaptability, and contextual awareness
ISO 27001, SOC 2 Type II and GDPR certified together with a continuous monitoring, alerting, and performance tracking, with proactive anomaly detection
We follow 'Privacy by Design' and use industry-standard encryption methods for data at rest and in transit to ensure the secure storage and transmission of sensitive information
Containerized and event-driven design of our platform combines seamless scaling of use cases and high availability of our services with the ability to deploy platform-components in compliance with different data residency laws
Thought Leadership
FAQ
We maintain a robust Information Security Management System (ISMS) with strict access controls, data encryption, network segmentation, and continuous monitoring. Our systems ensure redundancy and high availability, supported by backups and disaster recovery measures to protect data integrity and availability.
We maintain a documented and regularly updated cybersecurity policy, reviewed periodically to align with evolving threats, compliance requirements, and best practices. Our ISO 27001 and SOC 2 certifications ensure continuous monitoring and improvement of customer data protection and cybersecurity framework.
As outlined in our Data Processing Agreement (DPA), we provide regular employee training on secure data handling and incident reporting.
We process the following categories of personal data in full compliance with GDPR:
- Personally Identifiable Information (PII): Includes names, email addresses, and other identifiers provided by the controller for user account creation.
- Audit Data: Includes IP addresses and access logs generated from user interactions with our products or platform.
User account data is securely stored, while input data within documents is fully anonymized. We protect sensitive data using industry-standard encryption (AES-256 for data at rest and TLS 1.2+ for data in transit).
The customer retains full ownership of their data while granting Conxai consent to process and retain input data as necessary to provide its services. Conxai follows a data minimization policy, retaining only the necessary data for service delivery within the agreed duration. Data is automatically deleted upon service termination or business relationship closure. We do not use data for secondary purposes, and no third parties, except designated sub-processors outlined in our DPA, have access.
If any customer data is used for training AI models, then it is used exclusively for that specific customer. The Conxai platform enforces strict data partitioning to ensure multi-tenancy without risk of data leakage.
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Contact UsYour AI platform for construction-focused,
data-driven operations at scale
Versatile
Gain extensive reusability across projects and use cases
Gain extensive reusability across projects and use cases
Synergistic
Build and preserve collaborative knowledge
Build and preserve collaborative knowledge
Analytical
Use fact-based decision-making for better results
Use fact-based decision-making for better results
Faster ROI
Improve ROI
with minimal effort
Improve ROI
with minimal effort