Announcing Enjamb's $650K pre-seed

Today, we're announcing our $650K pre-seed funding round, backed by Y Combinator and Founders Inc.

Enjamb is the first agentic research workspace for R&D teams. We build autonomous AI agents that execute the full research lifecycle — literature review, methodology design, data analysis, grant discovery, and manuscript drafting — inside a single collaborative platform built for how research actually happens.

We're grateful to be trusted by researchers at 11+ institutions who are already using Enjamb to accelerate their publication and funding cycles.

Research Wasn't Meant to Look Like This

Research touches nearly every part of how a lab or R&D team operates, from submitting grants and running experiments to publishing findings and filing regulatory documents. But instead of driving discovery, the manual work behind research has become the bottleneck.

Every day, millions of scientists, graduate students, and R&D engineers — people who could be curing diseases, designing new therapeutics, and pushing the frontier of human knowledge — are stuck juggling Word, Overleaf, Zotero, GraphPad, Python notebooks, Excel spreadsheets, and ChatGPT. They copy and paste between half a dozen tools. They manually reformat manuscripts for each journal. They burn weeks writing literature reviews that sit unread. They spend months on grant applications with no clear edge.

This costs research billions in lost time, slows the pace of discovery, and buries breakthrough ideas under administrative overhead.

Legacy Tools Can't Keep Up With How Research Works Today

Scientific workflows are highly specialized. Generic tools aren't. That mismatch is why most of the research software stack is held together with duct tape.

Word processors don't understand citations. Reference managers don't understand documents. Chat tools don't understand your data. Statistical software doesn't understand the literature. No single platform knows your research goals, past work, or team context well enough to actually help you execute.

So researchers fall back to fragmented workflows spread across email, Slack, shared drives, and a dozen disconnected applications — managing the same tedious tasks over and over again, manually.

Enjamb Is the Agentic Workspace for Research

Software alone isn't enough to solve this. Chat wrappers that summarize papers and hallucinate citations aren't enough either.

Enjamb is an AI-native research workspace that eliminates the manual work across the entire research lifecycle. Our agents don't just retrieve information — they execute. They run literature reviews across 250 million+ papers and ingest full-text PDFs into your workspace. They design validated methodologies and generate procurement-ready material lists with vendor catalog numbers and pricing. They analyze raw data in a sandboxed Python and R environment, run rigorous statistical tests, and deliver publication-quality figures. They draft manuscripts across 700+ journal templates with perfect formatting. They find grants matched to your research profile and write submission-ready proposals.

Every output is grounded in verified scientific sources. Every citation maps to a full-text paper in your workspace. Every claim is traceable. Every step is visible to your team in real time.

You don't need to change how your lab works. Enjamb adapts to your team's protocols, documents, and institutional knowledge — and automates the hardest parts behind the scenes.

Scaling Agentic Research to Every Lab

Since starting Enjamb, we've been adopted by labs and R&D teams across 11+ leading institutions. Our users are running full literature reviews in hours instead of weeks, drafting grant proposals in days instead of months, and analyzing datasets that used to sit unexplored for years.

With our $650K pre-seed backed by Y Combinator and Founders Inc., we're deepening our agent capabilities, growing our team, and building toward a future where every research team operates at the speed their science demands.