Cerca Partners
VC Fund
Ra'anana, Israel
Cerca Partners is a VC fund in Ra'anana focused on Software and Cyber Security. A leading follow-on VC fund with a sustainable advantage of unique insights and access to the best Israeli startup investment opportunities.
- Total investments:
- 111
- Last investment:
- Lead investor:
- 2%
Last updated:
For AI agents: llms.txt
Industries Cerca Partners invests in
Stages Cerca Partners invests in
Countries Cerca Partners invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Seed
- $4M–$20M
- Series A
- $12M–$50M
- Series B
- $14M–$60M
Investment Focus
Industry
- Software 41 (37%)
- Cyber Security 17 (15%)
- Information Technology 17 (15%)
- SaaS 15 (14%)
- Artificial Intelligence 15 (14%)
Stage
- Series A 39 (35%)
- Series B 23 (21%)
- Seed 19 (17%)
- Series C 9 (8%)
- Series D 4 (4%)
Country
- United States 43 (39%)
- Israel 28 (25%)
- Grenada 1 (1%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Amit Ashkenazi
Venture Partner
|
Venture Partner | Total investments: 1 | Find email | |
Haleli Barath
Co-Founder & General Partner
|
Co-Founder & General Partner | Total investments: 3 | Find email | |
Itzik Lev
Co-Founder & General Partner
|
Co-Founder & General Partner | Total investments: 0 | Find email | |
|
Nir Falevich
Principal
|
Principal | Total investments: 0 | Find email | |
Ofer Katz
Co-Founder & General Partner
|
Co-Founder & General Partner | Total investments: 0 | Find email | |
| See all 6 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
Jedify
|
Jedify is a technology company that develops a contextual data platform designed to support artificial intelligence systems and enterprise data environments. The company focuses on building a “context graph” that connects structured and unstructured data, business logic, and organizational knowledge into a unified layer that AI systems can use toreason more effectively. Its platform, called Semantic Fusion, is intended to translate fragmented enterprise data from sources such as databases, cloud systems, SaaS tools, and documents into an AI-ready knowledge structure. The platform enables organizations to create connected representations of their business entities, relationships, workflows, and metrics, allowing AI agents and analytics systems to operate with better understanding of context. Instead of relying solely on raw tables or isolated metadata, Jedify builds a semantic model that links data points with real-world business meaning, such as customer definitions, revenue logic, permissions, and operational rules.Jedify also provides tools that allow enterprises to integrate multiple data sources and continuously update their contextual models as new information flows through systems. This enables AI applications to generate insights, answer natural language queries, and support decision-making processes while remaining aligned with internal business definitions and governance rules. | $24M / Series A / Jun 10, 2026 | |
A Security
|
A Security was intended to test systems the way genuine adversaries do, following attack vectors until they verify | $37M / Venture - Series Unknown / Jun 08, 2026 | |
Unframe
|
Unframe helps enterprises move beyond generic, low-accuracy AI tools that don’t deliver real business value. Its platform is designed to build tailored production-ready, AI-native solutions fast. Unframe works with each organization to pinpoint the right use case and, in about three days, delivers a fully functional solution that can be tested onsample data or the company’s own data. Only once clear value is demonstrated does Unframe move forward with licensing.The platform supports a wide range of use cases, from observability, business intelligence and analytics to extracting and abstracting unstructured data, and building proactive workflows and agents. Unframe’s platform is built from hundreds of deep technical building blocks that can be tailored and assembled using a Blueprint architecture to meet each customer’s exact needs. Every Unframe solution can run on the customer's cloud, on-premises, or as fully managed SaaS, and is LLM agnostic. | $50M / Series B / May 19, 2026 | |
Ocean
|
Ocean develops an AI-native email security platform designed to detect and prevent phishing, business email compromise, financial fraud, and other targeted email attacks. The platform uses autonomous AI agents to investigate emails in real time by analyzing intent, validating identities, examining links and infrastructure, and gathering contextualinformation. Ocean also provides automated triage, incident response, and employee guidance capabilities to help organizations manage email security operations. | $20M / Series A / May 19, 2026 | |
Frame Security
|
Frame Security is an AI‑driven cybersecurity company focused on human‑risk management and security‑awareness training. It helps organizations defend against AI‑powered social‑engineering attacks, phishing, and deepfakes by turning employees into an active line of defense rather than a passive vulnerability. | $50M / Venture - Series Unknown / May 11, 2026 | |
Matia
|
Matia helps to improve data management by combining uniform ingestion, reverse ETL, observability, and cataloging. It is designed for frictionless collaboration, enabling organizations and the data teams that support them to make faster, smarter decisions with less tool bloat. | $21M / Series A / Feb 10, 2026 | |
Upwind Security
|
Upwind Security creates and develops software and online tools that ensures security of cloud infrastructure. It manages runtime environments of the cloud platform. | $250M / Series B / Jan 26, 2026 | |
Legato AI
|
Legato AI is the first AI Extensibility Layer designed for B2B SaaS systems. | $7M / Seed / Jan 20, 2026 | |
Safebooks AI
|
Safebooks AI develops a platform for enterprises to automate the quality verification of financial data. It enables enterprises to sign off on 100% of their financial data. | $15M / Seed / Dec 09, 2025 | |
imper.ai
|
imper.ai prevents AI-driven impersonation and social engineering attacks at the first point of contact. Its real-time platform analyzes the digital breadcrumbs that hackers cannot fake including device telemetry, network signals and behavioral patterns, then correlates these signals with unique organizational knowledge, so that enterprises cantrust every conversation. | $28M / Series A / Dec 04, 2025 | |
| See all 111 investments → | |||
Co-Investors
Access 48,091 investors
822 industries, 177 countries. Updated daily. Emails and phones included.
Browse database — It's Free!
Find investors for your startup
Search 48,091 investors by industry and country. Emails and phones included.
Similar Investors
Similar industry
Similar stage
Similar country
Featured in Investor Lists
Recommended lists
FAQ
What does Cerca Partners invest in?
Cerca Partners invests primarily in Software, Cyber Security and Information Technology startups, most often at Series A and Series B stage. Most of the 111 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Cerca Partners's check size?
Cerca Partners typically joins rounds of $4M–$20M at Seed, $12M–$50M at Series A and $14M–$60M at Series B. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Cerca Partners participates in.
How do I contact Cerca Partners?
Public channels for Cerca Partners include LinkedIn and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Cerca Partners?
The team at Cerca Partners includes Amit Ashkenazi (Venture Partner), Haleli Barath (Co-Founder & General Partner) and Itzik Lev (Co-Founder & General Partner), among 6 team members tracked by Shizune. The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
Contact your first 100 investors today
Find who invests in your industry, stage, and country. Download investor list with emails in 5 minutes.
Find investors — It's Free!
Continue with Google
Continue with LinkedIn
