Enjamb Labs, an artificial intelligence startup building an agentic research workspace for research and development teams, has raised $650,000 in pre-seed funding to accelerate development of its AI-powered platform. The round was backed by Y Combinator and Founders Inc, providing the company with early-stage capital to expand its AI agent capabilities, grow its team, and advance its mission of helping researchers automate complex scientific workflows.

Founded by Rayan Mubarak and Maadhav Deekshitha, Enjamb is developing an AI-native workspace designed to support the full research lifecycle. The company’s platform uses autonomous AI agents to assist R&D teams with tasks including literature reviews, methodology design, data analysis, grant discovery, and manuscript drafting. Rather than functioning only as a question-answering assistant, Enjamb aims to provide an environment where AI agents can execute research-related tasks within a collaborative workspace.

The company was created to address challenges faced by researchers who often rely on disconnected tools throughout the research process. Scientific teams commonly manage literature searches, experimental planning, analysis, documentation, and publication workflows across multiple software platforms. Enjamb aims to bring these activities together into a unified environment where researchers can use AI agents to accelerate work while maintaining visibility into the process.

Enjamb’s platform is designed for research organizations, including academic laboratories, biotechnology companies, pharmaceutical companies, and other R&D teams. The company says its AI agents can support researchers from initial questions through publication by assisting with evidence gathering, analysis, documentation, and other parts of the scientific workflow.

The startup’s technology focuses on what it describes as agentic execution, where AI systems do more than generate responses and instead complete multi-step research activities. Enjamb’s platform is designed to help users conduct literature reviews, analyze datasets, identify relevant grants, and prepare scientific documents. The company aims to reduce the time researchers spend on repetitive administrative and information-management tasks.

The $650,000 pre-seed investment will support Enjamb as it continues building its platform and expanding adoption among research teams. The company said it plans to use the funding to deepen its AI agent capabilities, grow its team, and develop technology that enables researchers to operate more efficiently.

Y Combinator, one of the investors in the round, is a startup accelerator known for backing early-stage technology companies across industries. Its investment in Enjamb reflects continued interest in AI companies developing specialized tools for professional workflows and knowledge-intensive industries.

Founders Inc also participated in the financing. The venture studio and investment organization supports early-stage founders building technology companies, particularly those developing innovative software products. Its backing provides Enjamb with additional resources as the company develops its AI research infrastructure.

Enjamb has already gained adoption among researchers at more than 11 institutions, according to the company. Early users have been applying the platform to accelerate research activities, including literature reviews, grant preparation, and scientific writing. The company believes that AI agents can help research teams shorten timelines and improve productivity by automating time-consuming parts of the discovery process.

The funding arrives as artificial intelligence becomes increasingly integrated into scientific research and development. Organizations across biotechnology, healthcare, academia, and technology sectors are exploring AI systems that can help researchers process large volumes of information, generate insights, and accelerate innovation. Enjamb is positioning itself within this emerging market by focusing specifically on research workflows rather than general-purpose productivity applications.

The company’s approach is centered on creating an AI workspace that adapts to how research teams operate. Instead of requiring researchers to replace existing processes, Enjamb aims to provide AI assistance across different stages of scientific work while keeping teams connected through a shared environment.

As scientific research becomes increasingly data-intensive, researchers face growing demands to analyze information, publish findings, and secure funding more efficiently. Enjamb believes AI agents can help address these challenges by handling complex workflows that previously required significant manual effort.

With backing from Y Combinator and Founders Inc, Enjamb Labs is continuing to develop its vision of an AI-native research environment. The company aims to build tools that allow R&D teams to move faster, collaborate more effectively, and focus more time on scientific discovery rather than operational tasks.

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