Digital.ai

United States · digital.ai · 23 vendors

Digital.ai provides an AI-powered DevOps platform that unifies, secures, and generates predictive insights across the software lifecycle. It helps Global 5000 enterprises accelerate digital transformation and deliver secure digital products with greater quality. The company's platform supports enterprise agile planning, software delivery, application security, continuous testing, and AI-powered analytics.

Resilience scores

Disruption prediction

Digital.ai has an estimated 10% probability of disruption in the next 6 months.

9 of Digital.ai's 23 vendors monitored for disruptions.

Technology vendors

Services catalogue

3 services in catalogue across 3 categories; runs on 23 sub-vendors.

Insights

Last updated 2026-08-10 · revision 1

23 direct vendors, 221 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Migration Readiness: 3/10

Assessed by AI based on technology stack characteristics (cloud-native vs legacy, containerization, microservices), regulatory environment, data residency requirements, financial stability, and vendor lock-in risks. The score ranges from 0-10, where higher scores indicate better readiness for technology migration.

Digital.ai's migration readiness is difficult to assess accurately due to a critical lack of information. The most significant gap is the absence of data regarding the internal tech stack (e.g., cloud-native vs. legacy, containerization, microservices adoption), which is fundamental to determining migration complexity and effort. Similarly, details on the regulatory environment, specific data residency requirements (beyond "Not specified"), and financial stability (ability to fund a migration) are all missing. Regarding vendor relationships, the contradictory data ("Total Vendors: 0" vs. 24 services from vendors in 7 countries) makes it challenging to assess vendor lock-in. If vendors are indeed utilized, the "Vendor Lock-in Risk: Unknown" is a significant concern, as high lock-in can severely impede migration efforts. The geographic diversity of vendor countries (7 unique countries) could introduce complexity in terms of varying contractual agreements, data transfer regulations, and compliance requirements across different jurisdictions during a migration. Without crucial information on the current technological landscape and the specific nature of vendor dependencies, it is impossible to identify migration challenges or opportunities effectively. The lack of clarity on data residency requirements further adds to the uncertainty. Consequently, the company's readiness for a significant migration initiative appears low, primarily due to the vast unknowns.

Financials

Three-year financials

Financial Resilience Score: 5/10

Digital.ai is a privately held, TPG Capital-owned enterprise software company with no publicly disclosed audited financials. This opacity makes a precise resilience assessment impossible, but qualitative indicators point to a moderately resilient business. The company benefits from a blue-chip enterprise customer base (53% of Fortune 100, 8 of top 10 US/European banks, 4 of top 5 US airlines and insurance companies, 57 government entities with FedRAMP authorization), a recurring subscription/SaaS revenue model with multi-year enterprise license agreements, and a broad DevSecOps product suite enabling cross-sell opportunities. However, several risk factors temper this. As a typical PE-backed roll-up formed from CollabNet VersionOne, XebiaLabs, and Arxan in 2020 (plus subsequent acquisitions of Numerify, Experitest, ArtOfTest, and HCL SoFy assets), Digital.ai likely carries significant term-loan debt that has become more expensive since 2022 rate hikes. Reported workforce reductions in 2022 and 2023 suggest ongoing cost pressure. The company competes in a crowded, consolidating DevOps market against well-capitalized rivals like Atlassian, GitLab, GitHub/Microsoft, Broadcom, and IBM. Third-party revenue estimates range widely from US $150–260M, and there is no visibility into leverage, cash burn, or profitability. TPG's deep pockets provide financing flexibility and M&A runway, and the April 2021 funding round valued the company at ~US $1.4B (unicorn status). On balance, the company appears operationally viable with sticky enterprise revenue, but the combination of PE leverage, integration complexity across ~7 acquired product lines, and competitive pressure warrants a middle-of-the-road resilience score.

Key strengths: Blue-chip enterprise customer base including 53% of Fortune 100, Recurring SaaS/subscription revenue model with multi-year enterprise licenses, Deep-pocketed PE sponsor (TPG Capital) providing financing flexibility, Broad DevSecOps product suite enabling cross-sell, FedRAMP-authorized with 57 government entity customers, ~US $1.4B valuation at April 2021 funding round

Risk factors: Opaque financials with no audited public disclosure, Likely significant term-loan debt typical of PE buyouts, pressured by rising interest rates, Crowded competitive landscape (Atlassian, GitLab, GitHub/Microsoft, Broadcom, IBM), Integration and platform coherence risks from roll-up of ~7 acquired product lines, Low-growth exposure in legacy ALM (TeamForge) and agile planning segments, Reported workforce reductions in 2022 and 2023 indicating cost pressure, No IPO announced; liquidity path unclear

Revenue by geography

Revenue by product/service

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