Dossier · Private startup · 1 independent source
Sweep
Last updated: Jul 31, 2026
Sweep is a private enterprise-software company building an agentic metadata layer for understanding, governing, and changing interconnected business systems. Its platform currently emphasizes Salesforce, Snowflake, ServiceNow, HubSpot, and Data 360 environments.
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Sweep provides a control and context layer for enterprise systems whose configuration is spread across objects, permissions, automations, schemas, integrations, and business rules. Its product continuously ingests system metadata, maps dependencies, and presents that structure to business and technical teams. AI-assisted documentation, impact analysis, alerts, deduplication, routing, and change workflows are intended to make system behavior legible before an administrator or agent changes it. Sweep says its connectors index metadata rather than customer business records in at least some workflows, an important distinction that still requires customer-specific security diligence.
The initial commercial wedge is revenue operations and Salesforce administration, but the product has broadened toward cross-platform enterprise architecture. Official product material describes connections to Salesforce, Snowflake, ServiceNow, HubSpot, and Data 360, while recent company announcements describe a cross-platform agent and multi-org intelligence. The buyers are likely business-systems, RevOps, data-platform, and IT operations teams that already spend heavily on consultants and manual administration. The value proposition is measurable time savings and lower change risk, but the record should treat customer testimonials and claimed efficiency improvements as company-reported evidence rather than independently verified performance.
Sweep announced a $22.5 million Series B led by Insight Partners with continued participation from Bessemer Venture Partners in 2025. Its public materials also show an expanding product surface, customer-facing case studies, and hiring across multiple locations. These are useful commercialization signals, but public evidence does not establish recurring revenue, retention, customer concentration, profitability, or the durability of the claimed moat. The principal competitive question is whether Sweep can become a system-of-record for metadata and governed change, rather than remaining an implementation aid that is vulnerable to platform-native features, integration suites, consultancies, or generalized AI agents.
The company was founded in 2021 and has Israeli roots and a Tel Aviv team presence, while current public company information identifies New York as its primary headquarters and lists additional distributed locations. That geographic mix can support enterprise sales and Israeli engineering recruitment, but it also creates operational and regulatory complexity. Sweep is not inherently a defense product: its core workflows address commercial business systems. A credible defense or national-security adjacency exists only when the same metadata lineage, dependency analysis, permission visibility, and auditable change controls are deployed in defense-industry, logistics, critical-infrastructure, or other high-assurance enterprise environments. No public evidence reviewed here demonstrates a defense customer, government contract, or security certification, so the dual-use case should remain conditional.
Dual-Use Assessment
Sweep is civilian-first enterprise infrastructure, not a defense system. Its metadata lineage, dependency mapping, permission visibility, impact analysis, and auditable change controls could transfer to defense contractors, logistics operators, critical infrastructure, and other high-assurance environments. The adjacency is meaningful because configuration errors can propagate across interconnected systems, but it is conditional on deployments, security controls, and customers that are not publicly evidenced here; no defense contract or government use is asserted.
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.
Sweep has a credible enterprise-software thesis: it addresses the operational cost and change risk created by fragmented business systems, has raised a verified Series B, and is extending beyond a Salesforce-focused wedge. The technology could support a defensible metadata graph if integrations remain deep and the system becomes embedded in recurring governance workflows. This supports a positive internal priority signal, not an investment recommendation. Diligence should verify recurring revenue, net retention, implementation burden, customer concentration, gross margins, security posture, and whether AI features produce durable workflow adoption rather than demo value. Defense relevance adds optionality but should not be underwritten without customer or certification evidence.
Strategic Value to U.S.-Israel Alliance
Sweep may be strategically useful as an enterprise control plane for system context and governed change. Commercial value comes from making business logic, dependencies, and permissions visible across CRM, data, and IT platforms. In defense-adjacent settings, the same primitives could improve traceability and reduce configuration risk across contractor, logistics, or critical-infrastructure systems. The strategic case is therefore about transferable infrastructure capabilities and Israeli technology exposure, not a demonstrated defense product.
Key Technologies
- Metadata ingestion across Salesforce, Snowflake, ServiceNow, HubSpot, and Data 360
- Dependency graphs and cross-system lineage for objects, schemas, automations, and permissions
- AI-assisted documentation and natural-language system understanding
- Impact analysis and configuration-change planning
- Agentic workflows for governed system changes, alerts, deduplication, and lead routing
- Multi-org and cross-platform enterprise context
- Model Context Protocol (MCP) access for conversational system insights
Use Cases & Applications
- Salesforce and HubSpot administration, including documentation, deduplication, routing, and automation review
- Revenue-operations analysis of pipeline, attribution, territories, and business rules
- Snowflake schema, lineage, ownership, and dependency investigation
- ServiceNow configuration and IT-service impact analysis
- Cross-org consolidation and readiness assessment before enterprise AI or Agentforce deployments
- Audit-oriented change planning and permission visibility in regulated enterprise environments
- Potential governance layer for defense-industry logistics or critical-infrastructure systems, subject to security 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; 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.
- sweep.io Public source used for profile verification.
- sweep.io Public source used for profile verification.
- sweep.io Public source used for profile verification.
- sweep.io Public source used for profile verification.
- sweep.io Public source used for profile verification.
- LinkedIn company page Public source used for profile verification.
- calcalistech.com Public source used for profile verification.
- Profile update timestamp Last updated in the Claw & Talon database on Jul 31, 2026.
Related sector
See the AI & Data Platforms sector page for market context, related subcategories, and other Israeli companies in this part of the database.