About AlignIQ

We Help Solve IT Data
Alignment Challenges

Founded in Toronto, AlignIQ Platform was built by IT operations professionals who experienced the challenges of fragmented asset data across enterprise environments.

Our Mission

Enterprise IT teams need reliable asset data to make informed decisions. Many organizations operate across multiple CMDBs, discovery tools, endpoint managers, and license portals that often produce conflicting, duplicate, and outdated records.

AlignIQ helps address this challenge. We apply AI technology trained on IT asset data patterns to help reconcile records across connected systems, aiming to provide IT teams with improved data consistency across their asset landscape.

Quality Focus
We prioritize data quality improvements over simple record processing volumes, focusing on meaningful reconciliation outcomes.
IT Operations Focused
Features designed around real workflows of IT ops, SAM, and security teams rather than generic data management use cases.
Transparent Operations
AlignIQ logs reconciliation decisions with detailed explanations, so you understand how conflicts are resolved.
Team collaboration in modern office
Modern office workspace with technology

Built by IT Practitioners

The founders of AlignIQ spent over a decade managing large-scale IT environments at financial institutions, healthcare organizations, and global technology companies. The platform evolved from internal tooling developed to address real reconciliation challenges.

Today, AlignIQ serves over 340 enterprise clients across North America and Europe, helping IT teams reduce manual reconciliation effort and improve data consistency.

340+
Enterprise Clients
2.4M
Assets Processed
5+
Years in Market

Our Technology Approach

AlignIQ's AI engine is trained on IT asset data patterns, designed to understand how different systems represent the same physical and virtual assets. Unlike generic data matching tools, our algorithms are built to recognize IT-specific relationships and hierarchies.

Machine Learning Core

ML algorithms trained on IT asset records to help identify data relationships and patterns for reconciliation suggestions.

Real-Time Processing

Process asset data changes efficiently across connected systems with rapid conflict identification capabilities.

Explainable AI

Reconciliation suggestions include detailed reasoning and confidence scores for transparency and auditability.

Platform Architecture Diagram

Leadership Team

Our team brings experience in IT operations, data engineering, and enterprise software development.

David Park
CEO & Co-Founder

15 years in enterprise IT operations. Former Head of IT at a global financial services firm managing large-scale asset environments across multiple countries.

Priya Nair
CTO & Co-Founder

AI and data engineering specialist with PhD in Machine Learning. Previously led platform engineering at a major SaaS company serving millions of users.

Marcus Chen
VP of Product

Decade of ITSM and ITAM product experience. Expertise in CMDB design, SAM tooling, and enterprise IT workflows at Fortune 500 companies.

Our Commitment to Security

Security and compliance are fundamental to our platform design. We understand that IT asset data is sensitive information in organizations, and we've built our platform with enterprise-grade security considerations from the ground up.

SOC 2 Type II Certified

Independently audited security controls and operational processes

End-to-End Encryption

Strong encryption standards for data protection at rest and in transit

GDPR & CCPA Compliant

Designed to support compliance with global privacy regulations

Security and Compliance Illustration