Dossier · Private startup · 1 independent source
Unframe
Last updated: Jul 31, 2026
Unframe is a managed enterprise AI delivery platform that turns business use cases into tailored, production-ready solutions in days. Its modular platform connects enterprise data, workflows, models, and governance controls across SaaS, API, database, file, cloud, and on-premise environments.
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Unframe is an enterprise AI delivery company founded in 2024 by Shay Levi, Larissa Schneider, and Adi Azarya. Its product thesis is that the bottleneck in enterprise AI is usually not access to a language model, but the work required to translate a business process into a reliable production system: finding and normalizing data, connecting existing applications, defining human oversight, measuring outcomes, and operating the result. Unframe describes its platform as a modular set of reusable components, branded in part as The Framery, that can assemble tailored solutions without requiring customers to train a model or replace their existing AI stack. The platform supports agents and automation, document extraction and abstraction, enterprise search, data intelligence, and observability/reporting.
The customer proposition is a delivery model as much as a software feature set. Unframe says it works with a customer's data, workflows, and governance framework, and can deploy into the customer's cloud, on-premises environment, or as managed SaaS. Its public customer material covers financial services, manufacturing, real estate, retail, software, recruiting, and logistics-related workflows. Examples include legacy archive digitization, financial reconciliation, requirements engineering, trade-promotion planning, quote handling, investor reporting, and a Slack sales copilot. The company reports that solutions can move from an identified use case to production in days or weeks; public case studies describe results such as faster reporting, reduced manual work, and improved traceability, but these are vendor-presented claims that merit customer-reference and deployment-data validation.
Unframe's May 2026 Series B, led by Highland Europe, followed its April 2025 emergence from stealth and brought publicly announced total funding to $100 million. The company also reported more than $100 million in total contract value and 400% net revenue retention in the twelve months preceding the announcement. Those figures are important traction signals, but they are self-reported and should not be treated as audited revenue, ARR, or independent evidence of gross-margin quality. The company is expanding from a founder-led product-market fit phase toward broader go-to-market execution, including reseller and systems-integration distribution. Its headquarters are now listed in Cupertino, California, with offices in Tel Aviv and Berlin, while LinkedIn reports a 51-200 employee range.
The competitive field includes hyperscaler agent and automation products, horizontal workflow platforms, AI application builders, systems integrators, and internal enterprise engineering teams. Unframe's plausible edge is the combination of managed implementation, reusable building blocks, model portability, integration breadth, and a governance-oriented operating layer. That edge is executional and workflow-specific rather than a clearly demonstrated foundation-model or research breakthrough. Defense and national-security relevance is credible but bounded: the same controlled document processing, search, case management, reporting, and approval workflows can support government or mission-support organizations. The record contains no verified defense contract or defense-specific product, so dual-use value should be understood as conditional commercial infrastructure adjacency rather than evidence of defense-market traction.
Dual-Use Assessment
Unframe's core capabilities have substantive commercial and potential government or defense-mission-support applicability in governed document processing, enterprise search, case management, reporting, and workflow automation. The adjacency depends on deployment security, data isolation, human approval, auditability, and procurement readiness; no public evidence reviewed here establishes a defense contract or defense-specific product.
Strategic Fit Assessment
Priority signal means this entry may be worth researching within the Claw & Talon thesis. It does not mean investable, suitable, endorsed, available, or likely to produce returns.
Unframe is a credible strategic-priority signal for a dual-use and deep-technology database because it has a large enterprise problem, a broad deployment surface, named institutional backers, a verified Series B announcement, and company-reported contract and retention momentum. Its strategic relevance here is a legacy internal priority flag, not an investment recommendation. The main diligence question is whether its managed-delivery model becomes a scalable software platform with repeatable margins, or remains dependent on expensive implementation labor. A serious review should validate customer concentration, contracted versus recognized revenue, retention calculations, deployment cost, security architecture, model-provider economics, and the durability of its claimed time-to-production advantage.
Strategic Value to U.S.-Israel Alliance
Unframe could provide a rapid modernization layer for legacy workflows in regulated enterprises and, conditionally, in government or defense-mission-support organizations. Its strategic value is strongest where integration, audit trails, human approval, and model portability matter more than owning a proprietary foundation model. It may help reduce manual processing and accelerate deployment of bounded AI capabilities, but the company is not currently evidenced as a defense technology supplier and should not be treated as one without procurement, security, and operational validation.
Key Technologies
- Modular AI solution and agent assembly
- LLM-agnostic model integration without customer fine-tuning
- Enterprise workflow orchestration with human-in-the-loop controls
- Document extraction, classification, and abstraction
- Connectors for SaaS applications, APIs, databases, files, cloud, and on-premise systems
- Enterprise search, data intelligence, observability, and outcome reporting
Use Cases & Applications
- Legacy archive digitization and governed document retrieval for financial institutions
- Financial reconciliation, investor reporting, and preconstruction data abstraction
- Manufacturing requirements validation with traceability and human oversight
- Retail trade-promotion analysis, quote intelligence, and cancellation processing
- Enterprise knowledge search and sales preparation across fragmented systems
- Recruiting intake, candidate search, and outreach workflow support
- Case management and image matching for missing-person investigations
- Governed administrative and mission-support automation in regulated public-sector environments
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; the research methodology documents how evidence is graded, what counts as an independent source, and why some profiles are excluded from search indexing.
This record lists 7 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.
- unframe.ai Public source used for profile verification.
- unframe.ai Public source used for profile verification.
- unframe.ai Public source used for profile verification.
- unframe.ai Public source used for profile verification.
- axios.com Public source used for profile verification.
- LinkedIn company page Public source used for profile verification.
- Official website
- Profile update timestamp Last updated in the Claw & Talon database on Jul 31, 2026.
Related sector
See the Cloud & Developer Infrastructure sector page for market context, related subcategories, and other Israeli companies in this part of the database.