Hebbia is a general-purpose "AI analyst" built on a spreadsheet interface. You define the rows (files) and columns (questions), and it extracts the answers. Colabra is a dedicated M&A workspace. We do not just answer questions; we augment your entire diligence workflow—categorising files, mapping ownership structures, and screening entities for risk—without a single prompt.
Hebbia is a horizontal tool. It excels at custom extraction projects (e.g. "Pull the termination date from these 50 contracts"). But it treats every file as text. It does not know what a "subsidiary" is, it cannot check a company against a sanctions database, and it cannot tell you if a file is missing. You have to build the logic yourself.
Colabra is a full-stack diligence platform. We automatically cluster and rename messy file dumps, identifying relationships between documents. We extract entities and instantly screen them for sanctions, PEP, adverse media, and litigation history. We don't just read the text; we accredit the target.
Hebbia leaves the VDR as it is. Colabra cleans it up. We automatically categorise, rename, and cluster files, identifying "file families" (e.g. linking an amendment to its original agreement) to turn a chaotic dump into a structured index.
Hebbia sees company names as strings of text. Colabra builds an ownership graph. We map the corporate structure and automatically run background checks on every entity and individual for licences, litigation, and blacklists.
Hebbia extracts what exists. Colabra reveals what is missing. Our Reconcile lens maps the evidence against a diligence checklist to automatically flag gaps—like a missing board resolution or an expired licence—so you can push back immediately.