Your CRM Should Work as Fast as You Do.
Most people do not have a data problem. They have an entry problem.
The information is there. It lives in the conversation after a demo call, in the stack of business cards from last week's conference, in the voice memo you recorded walking back to your car. You know what was said. You know what matters. The problem is that by the time you sit down to log it, the moment has passed, the details have blurred, and the follow-up that felt urgent on Tuesday is already a day late on Thursday.
This is where CRM systems quietly fail most of the people who use them. Not because the software is bad, but because the entry point gets in the way. Forms and fields demand your attention at exactly the wrong time. So information gets deferred. And deferred usually means lost.
Alani Insights is built to solve that specific problem.
Capture the Way You Actually Work
Alani Insights is an agentic database platform from bundleIQ that turns raw, unstructured input into clean, organized records your team can act on immediately. Not after cleanup. Not after someone reformats a spreadsheet. Immediately.
That input can be anything. A spoken note. A photo of a business card. A plain-language message typed on your phone between sessions. You do not need to know what fields to fill in or what category something belongs to. You just need to capture it, and Alani Insights handles the rest.
The platform reads your input and produces structured records automatically, pulling out the relevant details and organizing them into something queryable, shareable, and ready for follow-up. There are no schemas to design, no integrations to configure, and no database knowledge required. The structure appears on its own.
What This Looks Like in Practice
Because Alani Insights is MCP-native, you can connect it directly to a multimodal assistant like Claude and start capturing contacts the way you actually collect them in the real world.
Say you just wrapped up a full day at a conference. You met a lot of people. Some of them matter. Here is how you log one of them:
Snap a photo of their badge or business card. Or just say out loud:
"I met Sarah Chen, VP of Sales at Meridian Group, at the Austin conference. She is interested in a pilot. Follow up next week."
That is it. Alani Insights reads the photo or the spoken note and instantly produces a structured contact record with the relevant fields populated: name, title, company, where you met, what they wanted, and a follow-up date. No typing. No forms. No table to build first.
Now do it for every badge and card you collected. You walk out of the event with the entire room inside a queryable database instead of a rubber band around a stack of paper. Your follow-ups are dated. Your notes are intact. Nothing evaporates on the drive home.
More Than a Better Way to Take Notes
The contact capture demo is the fastest way to feel what the product does, but it is only the front door.
The same logic applies across every kind of unstructured content your team produces: meeting notes, email threads, call summaries, customer conversations. Anything that currently lives in a document, a voice memo, or someone's memory can enter Alani Insights and come out the other side as structured, agent-ready data.
That means your AI is no longer just finding information. It is using it. Surfacing the right follow-up at the right time. Connecting context across conversations. Turning every interaction your team has into something your entire organization can build on.
Try It in 60 Seconds
Claim your $20 in free credits and capture your first contact in under a minute. No typing required.
What Else Can Alani Insights Do?
Contact capture is the simplest thing Alani Insights does, which is exactly why it is a good place to start. But the same engine that turns a photo of a badge into a contact turns any unstructured input into structured, agent-ready data.
Drop in a stack of meeting notes and get a queryable record of decisions and owners. Forward a thread of customer emails and get a structured log of requests, sentiment, and open issues. Pour in reports, transcripts, and operational documents and get tables your agents can filter, update, and run workflows against.
As your use cases get more sophisticated, the platform goes with you: routing leads, triggering automations, reconciling records across sources, and running operations at scale. You start by photographing one badge. You end with agents operating on the structured backbone of your business.
What Makes Alani Insights Different From a Vector Database or RAG?
At the core of Alani Insights is a proprietary context layer, an intelligence engine that reads data the way a person would, then organizes it so agents can reason over it.
This is what separates Alani Insights from the vector databases and RAG (retrieval-augmented generation) tools that have dominated the AI tooling landscape. Those tools store documents and retrieve them based on similarity search. They are fundamentally retrieval systems. Alani Insights, by contrast, converts data into structured records that agents can query, filter, and reason over. The goal is not retrieval. It is action.
An agent that can only search is useful for answering questions. An agent that can query, filter, and update structured records can actually run the work.
What Is MCP, and Why Does It Matter?
MCP, the Model Context Protocol, is an open standard for how AI agents connect to data sources and tools. It is quickly becoming the connective tissue of the agentic web, the lingua franca that lets any compliant agent talk to any compliant system. bundleIQ built Alani Insights natively on top of it.
That means any agent that speaks the MCP protocol can read and write structured records in an Alani Insights database the moment you turn it on, with zero custom integration work required. It is also what makes capture so effortless: connect Alani Insights to an assistant like Claude, and a photo or a spoken sentence becomes a structured record. Agents can also be deployed through a chatbot embed or email workflow hooks, putting intelligence directly into the channels where work actually happens.
The result is a platform that doesn't just store your data. It makes that data immediately deployable across every surface where agents live.
Who Owns the Data in Alani Insights?
You do.
Every workspace gets its own isolated database. You control the schema, the records, and who has access. Alani provides the intelligence layer and nothing else. The data underneath belongs entirely to your team. Your contacts, your conversations, and your operational data are never pooled, shared, or used to train someone else's model.
How Much Does Alani Insights Cost?
The pricing model is refreshingly straightforward: you pay for capacity, not headcount. Adding a new teammate to your workspace does not add a penny to the bill. It is a model built for how teams actually work, which is collaboratively.
New users can get started with $20 in free credits. Enterprise organizations with needs beyond the standard plan can book a custom demo for dedicated support and deployment options.
Why Now?
The rise of AI agents is not a future event. It is happening now, across every industry, in every size of organization. Hundreds of millions of people already use AI assistants every week, and the question is no longer whether to deploy agents, but what data those agents will operate on, and how well-organized that data is.
Alani Insights answers that directly. It is the infrastructure layer that sits between your messy, real-world information and the agents you want to put to work. It turns the raw material of your business, your conversations, documents, photos, and reports, into the structured, queryable, agent-ready fuel that intelligent automation actually requires.
So start small. Snap one photo and watch it become a record. Then imagine what happens when every conversation, document, and report in your business does the same thing.
Your database is ready. Are your agents?
Ready to put your information to work?
Pick a product. Start free or talk to our team.