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§ Private Profile · Halifax, NS, Canada
Harbr is a technology company.
Harbr develops a credit onboarding orchestration platform, automating critical processes like trade reference validation, real-time payment insights, and AML/KYC screening. It employs AI for document evaluation and data extraction, providing integrated decisioning insights. This technical approach streamlines data delivery directly into customer ERP or CRM systems, effectively eliminating manual intake and qualification steps for businesses.
The company was co-founded by David Kim, Anton Kats, Ashley Kielbratowski, and Jeff Kielbratowski, leveraging deep enterprise technology experience. Kim and Kats previously co-founded GoInstant, which was acquired by Salesforce. Their foundational insight stemmed from the pressing need to automate and simplify historically complex, manual credit and customer onboarding processes, driving the company's mission.
Harbr primarily targets businesses seeking to optimize and accelerate their customer qualification and credit approval workflows. The platform enhances operational efficiency for these organizations by providing instant results and seamless integration with existing systems. Harbr's vision focuses on prioritizing customer success through creating products informed by data-backed insights, empowering companies for faster, more precise credit decisions.
Harbr has raised $47.0M across 3 funding rounds.
Harbr has raised $47.0M in total across 3 funding rounds.
# Harbr: A Technology Company Overview
Harbr is a data infrastructure platform company that enables organizations to build private data marketplaces where they can securely share, govern, and collaborate on data and AI assets at scale.[1][4] The company serves enterprises across industries by solving a critical operational challenge: transforming isolated, siloed data assets into organization-wide value drivers without requiring teams to move data, disrupt workflows, or rebuild integrations.[4]
The platform addresses a fundamental problem in modern enterprises—data fragmentation. Organizations accumulate vast amounts of data across departments, regions, and business units, but this data often remains inaccessible or underutilized due to governance concerns, technical complexity, and lack of visibility. Harbr's solution democratizes data access by enabling both technical data engineers and business users to discover, package, publish, and consume data products through a unified marketplace interface.[1][4] Notable customers include Moody's (which uses Harbr's DataHub platform) and Aboitiz Group, demonstrating traction across financial services and diversified enterprise sectors.[4]
Harbr operates at the intersection of several powerful trends reshaping enterprise technology. The explosion of data generation and AI adoption has created an urgent need for better data governance and sharing mechanisms—yet most organizations lack the infrastructure to safely monetize or collaborate on data assets.[2][4] Harbr addresses this gap by enabling what might be called the "data economy": organizations increasingly recognize that data locked in silos represents unrealized value, whether for internal optimization, customer collaboration, or new revenue streams.
The company also reflects a broader shift toward data democratization. As organizations recognize that insights and value creation depend on data accessibility—not data hoarding—platforms that lower technical barriers and enable cross-functional collaboration become strategic assets. Harbr's positioning as a "private data marketplace" acknowledges this reality: enterprises want the benefits of data sharing without the risks of public cloud exposure or loss of control.
Harbr is well-positioned to capture significant market share in the enterprise data infrastructure space. As organizations accelerate digital transformation and AI adoption, the need for governed, scalable data collaboration will only intensify. The company's focus on ease of deployment and accessibility across technical and non-technical users gives it a competitive advantage in a market where adoption friction often determines success.
Looking ahead, Harbr's trajectory will likely be shaped by the maturation of enterprise AI initiatives. As companies move beyond isolated AI pilots toward production systems that require reliable, governed data pipelines, platforms enabling secure data collaboration become essential infrastructure. The company's ability to expand its customer base beyond early adopters in financial services and diversified enterprises—and to deepen usage within existing customers—will be key indicators of its long-term impact on the broader data and AI ecosystem.
Harbr has raised $47.0M in total across 3 funding rounds.
Harbr's investors include Dawn Capital, Tiger Global, Brandon Deer, Daniel Dines, Mike Chalfen, Backed, Boldstart Ventures, Crane Venture Partners, Seedcamp, Audacious Ventures, ENIAC Ventures, Insight Partners.
Harbr has raised $47.0M across 3 funding rounds. Most recently, it raised $39.0M Series A in November 2020.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2020 | $39M Series A | Dawn Capital, Tiger Global | Brandon Deer, Daniel Dines, Mike Chalfen, Backed, Boldstart Ventures, Crane Venture Partners, Seedcamp | Announced |
| Jun 1, 2020 | $6M Seed | Boldstart Ventures | Audacious Ventures, Dawn Capital, Eniac Ventures, Insight Partners, RED DOT Capital Partners, Thomson Reuters Ventures | Announced |
| Mar 1, 2018 | $2M Seed | — | Concrete Ventures, Panache Ventures | Announced |