sift through mountains of data and pluck out the most valuable insights.
ngen helps you run a step‑by‑step AI analysis across many thousands of files, merges the results, and delivers clear and trustworthy insights that no single‑window chatbot can match.
BRING IN YOUR DATA.
Drop your files in a familiar spreadsheet-like interface or use our API to send data in. We support a vast variety of file types, including CSV, Parquet, JSON, PDF, DOCX, and more.
| File | Text | Date |
|---|---|---|
call 1 | Good afternoon. My name is Andrea. I'm calling about the refund... | 2023-04-15 |
call 2 | Hello, who do I have the pleasure of speaking with? Good afternoon. This is Tim... | 2023-04-16 |
call 3 | Hi there, how can I help you today? I'm having an issue with my recent order... | 2023-04-18 |
call 4 | I'd like to discuss the installation timeline for my new system. It seems delayed... | 2023-04-20 |
call 5 | The billing amount on my invoice doesn't match what we discussed. Can you check... | 2023-04-22 |
Run enrichments.
Use a familiar chat-based interface to describe how you want to process all of your data. This will run every single row of your dataset and create a new column with the results.
Label
Extract Structured Data
Summarize and Ask Questions
Based on the text here: {{Text}} what do you think the near-term outlook for the company is ? Please only return yes or no and a brief argument for why you think that.
Sift through your data in a spreadsheet.
Once your data is enriched it is returned back to your spreadsheet as new columns.
Labels
Labels help you narrow in and dive deeper into the data that matters to you.
Structured Data
Identify structured entities from unstructured text. Extract only the relevant information from large text.
Summaries
Get the gist of your documents in seconds and filter out the noise.
Get ACCURATE & GROUNDED insights.
With your newly enriched data, you can now get significantly more accurate, grounded and clear insights from LLMs. Use our MCP plugin to query your data.
Why not just use ChatGPT?
Run on millions of rows
Single window LLM chats are not well suited to run on large datasets. Context windows are very limited. With ngen, every document has its own context window.
Hallucination-free
Instead of passing the whole dataset into the context window, ngen analyzes each document individually and then helps you aggregate the results. This significantly reduces the risk of hallucinations.
Repeatabile & Auditable
ngen lets you specify a repeatable multi-step pipeline for your data. Don't trust the results? You can always go back and check the steps.
Right LLM for the job
ngen allows you to choose between different LLMs for different tasks. Use the best LLM for the job. Not all LLMs are created equal.
Integrated with your data sources
Push your private data.
Create connectors to bring your private data in through our API.
Bring in data from integrated vendors
Enrich your data using 3rd party data vendors and integrations.
Ingest live data streams.
Support for real-time data for up-to-the-minute analysis.
Superior Analytics
Process and analyze customer interactions with unmatched accuracy and speed.
Real-time Insights
Get immediate insights from your data as it flows through your systems.
Enterprise Security
Your data is protected with enterprise-grade security and compliance measures.
Data enrichment
Automatically fills out the gaps in your data
Data extraction
Transform unstructured documents into structured data in seconds
Audio
Images
Get started.
- Connect your data sources in minutes
- Create your first worksheet
- Run enrichments & analyze your data
Get comfortable.
- Refine your enrichments & analysis
- Automate your process and auto-run worksheet daily
- Send out processed data
Bring your team in and collaborate
- Give your team the ability to define their workflows
- Gather new insights
- Refine your process
On-Prem Certified
Our analytics platform is available globally through cloud deployment. In addition, we offer on-premise solutions for enterprises requiring dedicated infrastructure.