Guepard

Cover Block

Attribute	Details
Name	Guepard
Tagline	Serverless data platform bringing Git-like version control to terabyte-scale datasets with instant branching and time-travel. [guepard.run]
Headquarters	San Francisco, US [Preqin, 2025]
Founded	2024 [Preqin, 2025]
Stage	Pre-Seed
Business Model	API / Developer Platform
Industry	Deeptech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Koutheir Cherni (CEO), Ghassen Menaouar (Co-Founder), Hani Chalouati (Co-Founder) [Bizprofile.net; RocketReach]
Funding Label	Pre-seed
Total Disclosed	$2,100,000 [Newsfile, September 2025]

Links

• Website: https://guepard.run/
• GitHub: https://github.com/Guepard-Corp

Executive Summary

Guepard is a pre-seed company building a serverless data platform that applies Git-like version control workflows to terabyte-scale databases [Newsfile, September 2025]. The company's launch follows a $2,100,000 pre-seed round in September 2025, led by Schematic Ventures with participation from UC Berkeley Skydeck [Newsfile, September 2025]. The platform's primary differentiation lies in its ability to create ephemeral, production-identical database clones in seconds through a copy-on-write snapshot system [Guepard Documentation, retrieved 2026].

Founder details identify Koutheir Cherni as CEO, with Ghassen Menaouar and Hani Chalouati listed as co-founders [Bizprofile.net]. The business model targets revenue from developers and data teams in startups and enterprises needing to manage staging, testing, and AI experimentation environments.

Data Accuracy: YELLOW -- Core product and funding details are confirmed by multiple sources; founding team and early traction rely on a narrower set of public records.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	API / Developer Platform
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Funding	Pre-seed (total disclosed $2,100,000)

How the Company Got Here

Guepard emerged in 2024 as a San Francisco-based entity [Preqin, 2025]. The company's founding premise is a response to the slow, resource-intensive process of provisioning and managing database copies for development, testing, and AI workloads. Its public launch and a $2,100,000 pre-seed funding round were announced in September 2025 [Newsfile, September 2025]. The company maintains a headquarters in San Francisco with noted operations in Europe and the Middle East [Newsfile, September 2025].

Data Accuracy: GREEN -- Company details confirmed by Crunchbase, Preqin, and the company's own press release.

Product and Technology

Guepard's core proposition is a serverless data platform that treats databases like code repositories. The platform enables developers and data teams to create ephemeral, production-identical database clones for staging, testing, or AI agent interaction in seconds [guepard.run]. This virtual data management approach is designed to serve many isolated copies from a single underlying dataset [docs.guepard.run].

Key product capabilities include instant cloning and branching for databases, including Postgres, MySQL, and Mongo [guepard.run]. It provides version control operations such as commit, branch, merge, and time-travel [gfs.guepard.run]. For compliance, the platform includes data masking tools [StartupSeeker]. A significant feature is its Model Context Protocol (MCP) interface, which allows AI agents to query and operate on this versioned data [Perplexity Sonar Pro Brief]. The underlying technology uses copy-on-write snapshots that are incremental, encrypted, and deduplicated [guepard.run].

Data Accuracy: YELLOW -- Core product features are confirmed by the company's own website and documentation. Performance claims and specific technical implementation details rely on a single third-party source or company statements.

Where the Demand Sits

The global database management system market was valued at over $80,000,000,000 in 2024 and is projected to grow at a compound annual rate above 10% [Gartner, 2024]. Guepard's wedge intersects the market for test data management and database DevOps tools.

Metric	Value
Database Management Systems (Analogous Market, 2024)	$80,000,000,000
Projected Annual Growth Rate	10%

Data Accuracy: YELLOW -- Market sizing figures are from analogous, broad industry reports. Tailwind and driver analysis is supported by general tech industry research, but no Guepard-specific market study is publicly cited.

Competitive Landscape

Guepard enters a crowded field of data infrastructure companies, but its positioning as a serverless, Git-inspired version control layer for live databases carves out a distinct wedge.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Guepard	Serverless platform for Git-like version control, branching, and time-travel on terabyte-scale databases.	Pre-seed, $2,100,000 (2025)	Virtual data management for instant, ephemeral clones; native MCP interface for AI agents.	[Newsfile, September 2025]
Neon	Serverless Postgres with branching and autoscaling.	Series B, $104,000,000 (2024)	Branching tightly coupled to its own managed Postgres service.	[Crunchbase]
Dolt	SQL database with Git-style versioning and collaboration features.	Series A, $21,000,000 (2023)	Embeds versioning directly into a MySQL-compatible database engine.	[Crunchbase]
Supabase	Open-source Firebase alternative providing a full Postgres backend.	Series B, $116,000,000 (2024)	Broad platform offering; database branching is one feature within its ecosystem.	[Crunchbase]

Data Accuracy: YELLOW -- Competitor data is confirmed via Crunchbase, but direct feature comparisons are inferred from public positioning.

Opportunity

Guepard’s opportunity is the decoupling of data access from physical infrastructure. The core premise is that developers, data engineers, and AI agents need instant, isolated copies of production data for testing, staging, and experimentation [guepard.run]. The company’s integration of the Model Context Protocol (MCP) for AI agents positions it at the convergence of developer workflows and autonomous AI tools [Perplexity Sonar Pro Brief].

Data Accuracy: YELLOW -- Opportunity analysis is based on company claims and market comparables; specific growth catalysts and efficiency metrics are not yet independently verified.

Sources

1. [guepard.run] Guepard, Spin Up 100s of Staging Databases in Seconds | https://guepard.run/
2. [Preqin, 2025] Guepard Inc. Asset Profile | https://www.preqin
3. [Newsfile, September 2025] Guepard Secures $2.1M to Launch Git-Inspired Data Platform Built for AI Agents and Enterprises | https://www.newsfilecorp.com/release/266463/Guepard-Secures-2.1M-to-Launch-GitInspired-Data-Platform-Built-for-AI-Agents-and-Enterprises
4. [Bizprofile.net] Bizprofile.net Guepard listing | https://www.bizprofile.net/
5. [RocketReach] RocketReach Guepard listing | https://rocketreach.co/
6. [Tunisian Engineers PFE Book 2026 - Guepard] Tunisian Engineers PFE Book 2026 - Guepard | https://www.tunisianengineers.com/
7. [Guepard Documentation, retrieved 2026] Guepard Documentation | https://docs.guepard.run/
8. [docs.guepard.run] Deep dive into Guepard's virtual data management | https://docs.guepard.run/guepard/overview/how-guepard-works
9. [gfs.guepard.run] GFS - Git For database Systems | https://gfs.guepard.run/
10. [StartupSeeker] StartupSeeker Guepard profile | https://www.startupseeker.com/
11. [hello.guepard.run] Guepard Sandbox - Instant Sandbox Environments for Enterprise AI Agents | https://hello.guepard.run/
12. [guepard.run/post/gfs-database-per-tenant] Guepard File System: Rethinking Database-Per-Tenant Architecture ·Guepard - Blog | https://www.guepard.run/post/gfs-database-per-tenant
13. [Crunchbase] Crunchbase Guepard profile | https://www.crunchbase.com/organization/guepard
14. [Gartner, 2024] Gartner Database Management Systems Market Forecast | https://www.gartner.com/
15. [McKinsey, 2024] McKinsey AI and Workflow Integration Report | https://www.mckinsey.com/
16. [Accelerate State of DevOps, 2023] Accelerate State of DevOps Report | https://cloud.google.com/devops/