Fundraising Fox

Zigguratum

Chattanooga, US · Founded 2023 · Delaware corporation · 1 known investors

Ziggiz (ziggiz) provides a managed security data foundation that collects logs from cloud, SaaS, and on-prem sources and maps them to a unified semantic layer, running enriched detections at ingest before forwarding events to existing SIEM/SOAR and ticketing tools. Built on Palantir and Databricks, it targets enterprise security teams in complex, regulated industries such as financial services and pharmaceuticals.

Also known as ziggiz · Ziggiz · Ziggurat um, Inc. · Zigguratum, Inc.

Founders & leadership

GW
George WebsterNamed on SEC filing

Board

MSMarton Sarkadi Nagy
Marton Sarkadi Nagyin𝕏Board directorPartner at Visionaries Club
AV
Aurelia von PentzBoard director
BH
Benjamin HolzmanBoard director

Investors · 1

Reported raises · per SEC filings

Form D private placements

$10.7M disclosed across 1 round · 2026

$10.7MraisedMar 2026 · 4 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Marton Sarkadi NagyDirector
  • Aurelia von PentzDirector
  • George WebsterExecutive Officer, Director
  • Benjamin HolzmanDirector
Offering amount
$11.9M
Amount sold
$10.7M
First sale
Mar 2026
Incorporated
Corporation, Delaware, 2023
Federal exemptions
06b
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Zigguratum, Inc., which markets its product as "ziggiz," builds a managed security data foundation for enterprise security analytics. The platform collects telemetry from cloud, SaaS, and on-premises sources via "Courier" collection clusters, maps records from different vendors into a single unified data model through a semantic layer, and runs detections on the stream at ingest. Matching events are enriched with device, identity, and activity context and then forwarded to the customer's existing SIEM/SOAR and ticketing or alerting tools, so the product is positioned as an additive layer rather than a replacement for incumbent tooling [0][1][6].

The company frames the problem as security teams acting as data engineers: log formats change, sources multiply, and separate queries must be written for equivalent products from different firewall vendors, while application logs, fraud signals, and AI-generated data fall outside legacy tooling. Its stated design principle is to build the semantic layer first across firewall, identity, endpoint, application, fraud, and AI-tooling data so that downstream agents, automations, and detections operate on normalized, structured, and explainable data rather than on AI features bolted onto fragmented inputs [0][1][6].

Under federal research funding the company is developing ESCAPE (Enhancing Security Capabilities through an Analytic Platform Ecosystem), an AI-driven semantic layer with an entity-resolution engine that links identities, dynamic network addresses, and assets across noisy or incomplete records. Phase II objectives include building connectors and scalable pipelines for real-time and batch ingestion of at least three representative data sources, applying machine-learning and rule-based reconciliation of conflicting records to enrich an enterprise knowledge graph with a target of over 90% resolution accuracy, and demonstrating auditable data lineage and dashboards, advancing the system from TRL 6 to TRL 7 [2].

Business model

Zigguratum sells software as a managed data foundation that layers into a customer's existing security stack rather than replacing it. Its federal project materials describe a cloud-native, FedRAMP-targeted SaaS offering with subscription, managed-service, and value-added reseller resale revenue streams, and the company states it will support non-profit healthcare organizations at cost [0][2][6].

Planned revenue streams described in the company's SBIR Phase II abstract are SaaS subscriptions, managed services, and VAR resale, positioned at up to 25x lower total cost of ownership than incumbent SIEMs. Federal SBIR/STTR contract awards are an additional source of non-dilutive funding [2][3].

Traction

Reported 13 employees and self-certified as having fewer than 500. Federal award activity comprises three prime awards with about $5.9 million in lifetime contract value, including $600,000 in SBIR Phase I dollars and $1,757,237 in Phase II dollars ($2,357,237 total across SBIR awards), a first award year of 2024, and a 100% Phase I to Phase II conversion rate; the most recent award is dated August 1, 2026. Registered primary NAICS is 513210 Software Publishers, with reported PSC DA10 (business application/application development software as a service). A third-party profile describes the commercial platform as set to launch in 2024 [2][3][4].

Latest developments

The SBIR Phase II ESCAPE award of $1,757,237, tagged 2025 and associated with DARPA, funds connector and pipeline development, semantic mapping and entity resolution models, and a knowledge-graph prototype with stakeholder dashboards, culminating in an operational showcase at month 12 and positioning the work for Phase III transition. Federal vendor records show a SAM registration renewal in February 2026 and a most recent award date of August 1, 2026. The company also operates the ziggiz.ai domain alongside zigguratum.com [2][3][4][6].

Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

An early-stage, venture- and SBIR-funded security data platform vendor competing against incumbent SIEM and cyber data lake tooling on onboarding speed and total cost of ownership. Its federal award record shows three prime awards totaling about $5.9 million in lifetime contract value, split roughly 70% National Institutes of Health and 30% DARPA, and a 100% SBIR Phase I to Phase II conversion rate. A third-party profile cites endorsements from cybersecurity advisor Freddy Dezeure and Palantir engineering lead Zoë Nengite [2][3].

The company contrasts a "foundation-first" approach — normalizing and enriching data in a semantic layer before applying AI — with platforms that add chatbots, copilots, or summarizers on top of unnormalized data. It emphasizes vendor-agnostic normalization so a single detection runs across multiple vendors, no rip-and-replace deployment alongside existing SIEM/SOAR tooling, and claimed efficiency gains including 15x greater efficiency, roughly 80% less engineering effort than self-managed pipelines, and no data loss against a stated industry average 3-6% security event drop rate. Its federal abstract cites up to 90% reduction in manual data-onboarding effort and 25x processing efficiency versus legacy tooling [0][1][2][6].

Technology

The architecture has three stages: Courier clusters that collect data from cloud, SaaS, and on-premises sources while emitting real-time telemetry on latency and volume; a semantic layer that maps each vendor's raw data to a single unified model so one detection can run across sources and playbooks survive schema changes; and stream-time detection with enrichment of device, identity, and activity context before forwarding. The ESCAPE research effort adds automated ingestion and harmonization of heterogeneous security logs, an entity-resolution engine that reconciles identities, dynamic addresses, and assets, an enterprise knowledge graph, and transparent, auditable lineage. Third-party profiling describes the platform as built on partnerships with Palantir and Databricks, with capabilities spanning management of thousands of edge devices, real-time security alerting and failure detection, remote asset management, bi-directional intelligence across data sources, and compliant data storage [0][1][2][3][6].

Go-to-market

The website funnels prospects to a gated product demo requiring contact details, and messaging is segmented by buyer role (CISO/CIO versus SOC director/head of SecOps). The company leans on ecosystem and platform partnerships with Palantir and Databricks, including "Built on Databricks" partner status, and pursues federal agency channels through SBIR/STTR contracts with ARPA-H/HHS and DARPA alongside planned managed-service and reseller distribution [0][2][3][6].

Enterprise security buyers in complex, regulated environments, including financial services, pharmaceuticals, and other regulated industries, plus non-profit healthcare providers served at cost. The company addresses both leadership buyers (CISO/CIO) and operators (SOC directors and heads of security operations). Federal-facing materials add government agencies, DoD agencies, healthcare providers, regulated critical-infrastructure operators, and Global 2000 corporations [0][2][3][6].

Geography

Headquartered at 200 W. Martin Luther King Blvd, Suite 1000, Chattanooga, Tennessee 37402, in Tennessee's 3rd congressional district, and incorporated in Delaware. Work under its federal awards is performed in the United States [2][3][4].

History

Federal registration records date the corporation's founding to March 3, 2023, in Delaware, with initial SAM.gov registration on January 9, 2024. The company received its first federal award in 2024 — an ARPA-H/HHS SBIR Phase I feasibility study for ESCAPE-IDNETIFY — and followed with an SBIR Phase II award tagged to DARPA in 2025. SAM registration was renewed in February 2026 with an expiration of February 3, 2027, and the most recent federal award recorded is dated August 1, 2026 [2][3][4].

Risks & controversies

Several headline performance figures on the company website render as "0x" or "0%" placeholders, and one third-party profile notes that company structure, employee count, and location details were absent from its underlying source material. The FedRAMP authorization referenced in the federal project abstract is described as a target rather than an achieved status, and revenue is concentrated in a small number of federal research contracts from two agencies [0][2][3].

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Claimed efficiency gainJan 202615 x
Claimed processing efficiency vs legacy toolingJan 202525 x
Claimed reduction in engineering effort vs self-managed pipelineJan 202680%
Claimed reduction in manual data-onboarding effortJan 202590%
EmployeesJan 202613 people
Federal SBIR/STTR dollars awarded (total)Jan 2026$2.4M
Lifetime federal prime contract valueJan 2026$5.9M
Number of federal awardsJan 20263 awards
SBIR Phase I dollarsJan 2024$600K
SBIR Phase I to Phase II conversion rateJan 2026100%
SBIR Phase II dollarsJan 2025$1.8M

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 5

launches, deals, and filings
Aug 2026
Most recent federal award recorded

Federal awardee tracking lists August 1, 2026 as Zigguratum's most recent award date.

source ↗

Jan 2025
SBIR Phase II award for ESCAPE semantic layer and entity resolution

A $1,757,237 SBIR Phase II award, tagged to DARPA under topic ARPA-H-06, funds connectors and scalable ingestion pipelines, machine-learning and rule-based entity resolution targeting over 90% accuracy, an enterprise knowledge graph, and auditable lineage with stakeholder dashboards, advancing the platform from TRL 6 to TRL 7.

$1.8M source ↗

Jan 2024
Initial federal SAM.gov registration

Zigguratum, Inc. (UEI K6EQCCTKPBW6, CAGE 9U5C1) completed initial federal registration for federal contracts and assistance; registration was later renewed with an activation date of February 5, 2026 and expiration of February 3, 2027.

source ↗

Jan 2024
SBIR Phase I award from ARPA-H/HHS for ESCAPE-IDNETIFY feasibility study

Zigguratum received a $600,000 SBIR Phase I award under topic ARPA-H 6 to study a semantic-layer approach to acquiring, processing, and analyzing disparate data sources for identity and access management in healthcare environments.

$600K source ↗

Jan 2024
Built on Databricks partner status and Palantir platform partnership

A third-party federal vendor profile describes Ziggiz as leveraging partnerships with Palantir and Databricks to consolidate and process data through a semantic layer, including status as a Built on Databricks partner.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
ZigguratumDelaware

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Zigguratum do?
Zigguratum (ziggiz) runs a managed security data foundation that normalizes enterprise logs into a unified semantic layer.
Who are Zigguratum's investors?
Zigguratum's investors include Visionaries Club.
How much funding has Zigguratum raised?
Zigguratum has disclosed $10.7M raised across 1 round.
Where is Zigguratum headquartered?
Zigguratum is headquartered in Chattanooga, US.