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§ Private Profile · Warsaw
Quesma is a technology company.
Quesma develops sophisticated simulation environments for independent AI agent evaluation and training. Its infrastructure enables frontier labs, developers, and enterprises to rigorously test agentic AI, ensuring reliability and production readiness. By simulating complex, multi-hour tasks, the platform assesses agent performance in diverse real-world conditions, exceeding simple benchmarks.
Jacek Migdał founded Quesma, leveraging his database technology background. Initially a database gateway, the company pivoted to AI agent development. Migdał identified the critical need for robust evaluation and training of emerging agentic systems, addressing pressing challenges within the rapidly advancing AI landscape.
Quesma targets leading AI labs, developers, and enterprises integrating AI agents. Its platform facilitates transitioning AI applications from development to dependable, real-world deployment. The company's vision is to establish the industry standard for AI agent performance, fostering safe, effective autonomous systems and accelerating production-grade artificial intelligence adoption.
Quesma has raised $2.0M across 1 funding round.
Quesma has raised $2.0M in total across 1 funding round.
Quesma has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in December 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2023 | $2M Seed | Heartcore Capital, Tomek Swieboda | Balderton Capital, Haun Ventures, Latitud, Shilling Capital, Hugo Arevalo, Philippe Teixeira DA Mota | Announced |
Quesma has raised $2.0M in total across 1 funding round.
Quesma's investors include Heartcore Capital, Tomek Swieboda, Balderton Capital, Haun Ventures, Latitud, Shilling Capital, Hugo Arevalo, Philippe Teixeira da Mota.
Quesma is a Warsaw-based technology startup founded in 2023 that develops a novel database gateway designed to simplify and modernize the process of data migration and orchestration for enterprises. Its first product targets companies struggling with complex data stacks like ELK (Elastic, Logstash, Kibana), enabling CTOs to switch and orchestrate databases seamlessly, thus future-proofing their application infrastructure. Quesma serves enterprises facing challenges with legacy data architectures that hinder innovation and agility, aiming to reduce costly, multi-year migration efforts and failures. The company has gained early momentum with a €2.1 million pre-seed funding round co-led by Heartcore Capital and Inovo VC, planning an open-core product release in 2024 to provide flexibility for ElasticSearch/OpenSearch interfaces[1][2].
Quesma was incorporated in October 2023 by a founding team with deep experience in observability pipelines, database optimization, and large-scale infrastructure from companies like Sumo Logic, Facebook (Meta), Elastic, and Intel. CEO Jacek Migdał, who helped scale Sumo Logic from a startup to a $1.7 billion valuation, leads the company. The idea emerged from firsthand experience with the pain points of database outages and legacy maintenance that stifle innovation in enterprises. Early traction includes securing significant venture backing and assembling a founding engineering team, with a product launch planned for 2024[1][2].
Quesma rides the trend of enterprises seeking agility and resilience in their data infrastructure amid rapid digital transformation and AI adoption. The timing is critical as legacy data architectures often fail to support fast-paced innovation or leverage advances like large language models (LLMs). By enabling seamless database switching and orchestration, Quesma addresses a major bottleneck in enterprise IT, potentially reshaping how companies build and connect applications to data. This innovation supports broader ecosystem shifts toward microservices, cloud-native architectures, and AI-ready data environments[1][2].
Looking ahead, Quesma aims to become the ultimate database gateway within enterprises, expanding beyond ELK stack support to broader database ecosystems. Trends such as AI integration, cloud migration, and demand for real-time data agility will shape its trajectory. Its open-core approach and strong investor backing position it well to influence enterprise data strategies and accelerate innovation. The acquisition of its initial database gateway IP by Hydrolix suggests strategic evolution and focus on AI agent evaluation and training, indicating a dynamic roadmap that balances core database innovation with emerging AI infrastructure needs[1][4].