The AI Workspace
For industry-grade deep research
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Data grid interface
VALUE

ngen helps researchers run comprehensive reviews across thousands of curated documents, to produce transparent and trustworthy insights that no AI chatbot can match.

An AI workspace that is fast.

A new way to discover insights and synthesize knowledge from thousands of documents.

Trusted AI Research

  • AI reasoning over your curated and trusted content
  • Transparent and explainable search algorithms
  • Verify claims and prevent hallucinations

Efficient and Comprehensive

  • Synthesize insights across documents and don't leave out any important evidence
  • Process thousands of files in parallel

Up to date and automated

  • Ingest and incorporate fresh data as it becomes available
  • Set up repeatable workflows to run your analysis automatically

Your data, our engine

Import your files and run a multi-step analysis pipeline powered by LLMs.

01

Upload Your FILES

JSON
PDF
DOC
HTML
PNG
CSV
TXT
MP3
MP4
File
Text
Date
Audio file

From this PDF, identify the primary research question, study design, and key findings, and return a concise abstract-style summary.

2023-04-15
Audio file

Using only the contents of this PDF, extract all details about the study population (inclusion/exclusion criteria, sample size, demographics) and present them in a structured table.

2023-04-16
Audio file

Review this PDF and list all reported efficacy endpoints, the statistical methods used to evaluate them, and the corresponding numerical results, highlighting any statistically significant findings.

2023-04-18
02

Extract Insights with prompts

03

Build ACCURATE & GROUNDED reports

Please take all the documents that are tagged withmeta-study, pull out thesummary sections and create one master list of all the factors mentioned in the studies.

Research report workflow
Powered by leading LLMsOpenAI and Anthropic logos

Use ngen when you need to...

Process thousands of files poster image

Process thousands of files

Scale analysis across massive document sets without losing accuracy or control over the workflow. LLM chats have limited context windows and struggle with large datasets.

Stay hallucination-free poster image

Stay hallucination-free

Per-document orchestration keeps results grounded so your team can trust every generated insight. Easily verify and audit results back to source.

Control the research process poster image

Control the research process

ngen allows you to define exactly how you want your data analyzed while LLMs chats can digress and analyze your data in ways that are not suitable for you.

Here is how people use ngen today

Researchers

Clinical researchers ingest hundreds of trial papers and conference abstracts into ngen, then tags each by indication, trial phase, and patient population. They extract the data from relevant documents, then synthesize the findings into a structured report. The result is a living “Trial Landscape” brief that updates automatically when new studies are published.

Data Sources

PM
Pubmed
AX
arxiv

Lawyers

Lawyers use ngen to turn preliminary case search results into a structured, decision-ready brief after getting a set of preliminary results from Lex Machina. They perform deep search by filtering down to the most relevant cases by jurisdiction, motion type, and outcome, quickly summarize the holdings and reasoning across those cases, and write a litigation strategy memo or client update.

Data Sources

LM
Lex Machina
P
PACER
W
Westlaw

Financial Analysts

Financial analysts use ngen to turn raw filings and transcripts into structured answers on the fundamentals. Instead of paging through hundreds of pages, they cut through hundreds of pages to surface the exact metrics and narratives they need, then publish a living “Company Brief” that updates automatically with each new filing. Because the workflow is recorded, it re-runs automatically anytime there are new documents.

Data Sources

AS
Alpha-Sense