Retina AI
Last updated: Jul 31, 2026
Retina AI is a predictive customer-intelligence platform for estimating customer lifetime value, lapse probability, and related behavioral signals early in the customer lifecycle. ONAR Holding Corporation acquired the software platform in 2025 and has described it as an ONAR Labs capability being integrated and relaunched within its marketing technology stack.
Visit WebsiteCompany Overview
Retina AI built software around predictive customer lifetime value (CLV), especially early customer lifetime value (eCLV) for leads and customers that do not yet have enough repeat-purchase history for conventional cohort analysis. Its public product material describes ingestion of transaction, engagement, demographic, journey, and session data; machine-learning-based imputation and forecasting; and outputs such as predicted CLV, lapse probability, persona, likely next transaction, typical order value, and predicted lapse date. The product is intended to turn those signals into operational decisions rather than leave them in a data-science notebook.
The primary customers are consumer businesses with repeat-purchase economics, including e-commerce, retail, consumer packaged goods, financial services, healthcare, and paid apps. Retina's FAQ says the strongest fit generally involves customer identity resolution, substantial repeat-purchase history, and roughly 18 months or more of data; it also describes integrations or transfer paths involving Shopify, CDPs such as mParticle and Segment, and a customer's data warehouse. The commercial value proposition is to identify high-value acquisition cohorts earlier, allocate marketing spend more intelligently, prioritize retention work, and give finance and executive teams a more forward-looking view of customer profitability.
The technology is commercially credible but not obviously a defensible frontier-model platform. The differentiating package is a focused workflow combining customer-level forecasting, time-to-event or lapse modeling, feature and persona outputs, integrations, recurring scoring, and business-facing recommendations. Competitors and substitutes include customer-data and product-analytics suites, lifecycle-marketing platforms, specialist CLV vendors, and internal analytics teams. Public pages describe customer examples and performance outcomes, but those claims are company-provided and should be validated through customer references, retention data, calibration tests, incremental-lift experiments, and evidence that the models remain useful across sectors and changing acquisition channels.
The corporate status has changed the diligence frame. ONAR announced a definitive agreement in July 2025, later reported that it had acquired the software platform, and described a rebuild, closed testing, and planned relaunch under ONAR Labs. Retina should therefore no longer be treated as an independent Series A company or as a standalone Israeli startup. The important current questions are whether the relaunch achieved production adoption, whether ONAR preserved the original team and data-science capability, how recurring software revenue is measured, and whether integration with ONAR's agencies improves distribution without creating concentration or execution risk.
Defense and national-security relevance is limited and indirect. The underlying methods—forecasting behavior from sparse, permissioned event data and presenting uncertainty-aware scores to operators—could inform workforce retention, contractor planning, logistics demand, or other resource-allocation workflows. There is no public evidence in the reviewed sources of government, defense, classified, or security deployments, and marketing data is not a substitute for mission data. Any public-sector transfer would require a new use-case validation, lawful data access, privacy and civil-liberties controls, procurement fit, and testing for bias and distribution shift. The asset is consequently more relevant as a general predictive-analytics capability than as a defense-native technology.
Strategic Fit Assessment
Retina addressed a concrete commercial problem and had a productized forecasting workflow, but it is no longer an independent startup: ONAR announced the acquisition in 2025 and has been integrating and relaunching the software inside ONAR Labs. This record should be evaluated as an acquired technology asset, with diligence centered on post-acquisition adoption, retained technical capability, customer renewals, recurring software revenue, data rights, model lift, and ONAR's ability to fund and execute the relaunch. The evidence does not support treating it as a current standalone venture priority or as an investment recommendation.
Strategic Value to U.S.-Israel Alliance
The asset's strategic value is a focused predictive layer for customer profitability that can be distributed through ONAR's agency network and connected to broader marketing analytics. Its reusable value lies in data-pipeline and decision-workflow patterns, not in demonstrated defense-specific capability. Value will depend on successful integration, measurable incremental performance for clients, trustworthy data governance, and whether ONAR can turn a historically services-adjacent product into durable recurring software revenue.
Key Technologies
- Early and predictive customer lifetime value modeling
- Customer lapse probability and time-to-event forecasting
- Machine-learning imputation for sparse customer histories
- First-party transaction, demographic, journey, and session-data ingestion
- Customer identity resolution and warehouse/CDP data pipelines
- Recurring customer-level scoring with persona and next-transaction outputs
- Explainable customer segmentation for acquisition and retention decisions
Use Cases & Applications
- Early lead-value scoring for acquisition campaign targeting
- Paid-media budget allocation toward higher-value customer cohorts
- Subscription and repeat-purchase lapse prioritization
- Retention and customer-success outreach sequencing
- Customer persona and product-bundle segmentation
- Cohort profitability and long-horizon revenue forecasting
- Agency reporting and marketing performance optimization
- Potential workforce or contractor planning adjacency, subject to new validation
Sources and verification
This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile. The editorial policy explains how profiles are researched, where automated drafting is used, and how corrections work.
This record lists 11 public references used for company identity, status, positioning, or material-claim review.
Public sources
The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.
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- LinkedIn company page Public source used for profile verification.
- onar.com Public source used for profile verification.
- onar.com Public source used for profile verification.
- onar.com Public source used for profile verification.
- SEC filing Public source used for profile verification.
- retina.ai Public source used for profile verification.
- Profile update timestamp Last updated in the Claw & Talon database on Jul 31, 2026.
Investor Lens
What this entry is
Acquired asset
Why it may matter
Retina AI may matter as a AI & Data Platforms entry with not currently an investable standalone company for Israeli technology research.
How an independent investor should read this
Not currently an investable standalone company. Read this profile as a starting point for independent verification, not as a recommendation or suitability assessment.
Evidence to verify
- Verify current status
- Verify technical claims
Main investor questions
- Is this entry a benchmark, buyer, ecosystem node, acquired asset, or strategic reference rather than a live startup opportunity?
- What does this reference clarify about buyers, sector structure, public-market context, or strategic demand?
- What evidence would change the thesis or show that the profile is stale?
What not to infer
- Inclusion does not imply endorsement.
- Inclusion does not imply allocation availability or current fundraising.
- Scores do not indicate investment suitability or expected returns.
- Strategic importance does not automatically imply venture return potential.
Diligence questions
- What evidence verifies Retina AI's current customer traction, deployment status, and revenue concentration?
- Which technical claims are independently demonstrable today, and which remain roadmap or pilot-stage assertions?
- Is there a credible national-security or public-sector use case, or is the company primarily a commercial technology asset?
- What data rights, model-evaluation, compute, and reliability constraints determine whether the system can operate in mission-critical settings?
- Is the company a live venture opportunity, a mature strategic reference, an acquired asset, or primarily a market-mapping entry?
Related sector
See the AI & Data Platforms sector page for market context, related subcategories, and other Israeli companies in this part of the database.
Related companies
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