CombinatorThe AI for regulatoryand technical documents
Upload your source data. Get a first draft with tracked changes and source-linked citations; ready for review
built from scattered source material, but their tools have not caught up.
AI works on snippets, fails on real documents
Most AI assistants are not built for long documents. They lose context across sections, create contradictions, and fail to apply updates consistently in complex reports.
It’s hard to verify generated content
Existing solutions dont show end-to-end traceability.
Output of currently tools generate bad formatting & broken doc structure
You manually stitch changes across sections and versions.
It's hard to iteratively work on documents
Most AI tools do not give you clear, reviewable edits with full control
Fetch any piece of content from your source material
Reduces prompt iteration by attaching granular source context directly to each instruction.
Create standardised documents from examples
Upload previous reports and templates as examples. Vespper can generate standardised documents that match your standards automatically.
Motion to Compel Further Discovery Responses
I. Introduction
Plaintiff TechStart Solutions, LLC ("Plaintiff"), by and through...
Draft the introduction section for this Motion to Compel. State...
Full traceability with source-linked citations
Every statement can be traced back to the underlying evidence. Vespper generates citations that link directly to the exact source passage so outputs are defensible.
Make changes to your document and see whats changed
Every change is clear and easy to review so teams can confidently verify edits before submitting, especially when accuracy and auditability matter.
Results
At T=24h, IL-6 measured 750 pg/mL525 pg/mL in treatment group (n=12). Mean AUC was 0.820.78 ± 0.04 µg·h/mL.
Control arm: IL-6 was 410 pg/mL385 pg/mL (n=11), AUC 0.610.58 ± 0.03 µg·h/mL.
Connect your source data
Upload files directly or connect to cloud storage and knowledge bases
Google Drive
Dropbox
SharePoint
S3
R2
Oracle Storage
Google Storage
Egnyte
Confluence
NotionGoogle DriveDropboxSharePointS3R2Oracle StorageGoogle StorageEgnyteConfluenceNotion
Document360
BookStack
GitBook
Highspot
MediaWiki
WikipediaDocument360BookStackGitBookHighspotMediaWikiWikipediaGoogle DriveDropboxSharePointS3ConfluenceNotionDocument360BookStackGitBookMediaWiki
SOC 2 Type II (In Progress)
GDPR CompliantWe do not train on your data
Your documents are never used to train AI models.
Private by default
Your documents stay private to your workspace.
Bring your own LLM
Use your preferred provider, including self-hosted models.
Private deployments
VPC and on-prem options available on request.
Audit-friendly history
Complete version history with tracked diffs.
Cloud app + public LLMs
We use our cloud app together with public LLM vendors (OpenAI, Anthropic, etc.). Safe for many customers, but since the model sits with the vendor, this is not ideal for highly proprietary R&D data.
Cloud app + private LLMs in your cloud
We use our cloud app and configure it to use LLM running inside your AWS/GCP/Azure account (Bedrock, Vertex, Azure OpenAI). Your data never leaves your environment when it hits the model. We also offer to help spinning those models ourselves as a service.
Fully self-hosted
We deploy both our app and the LLMs entirely inside your cloud. Nothing touches our infrastructure. Strongest option, but requires more setup time and resources.
Our cloud environment
Editor + Diffs
External LLM vendors
These links open the AI of your choice with a pre-filled question about Vespper.
with full visibility and control.