There are over 21,000 organisations in England and Wales, and more than 5,000 in Scotland, whose primary activity is grant-making.
We monitor them all.
Of course, not all of them are actively funding at any given time. Some are closed, some are invite-only, and others operate on irregular cycles.
But that’s exactly the challenge.
Funding opportunities don’t sit neatly in a list. They open quietly, change without notice, and disappear just as quickly.
Most grant databases can’t keep up with that reality.
At Fundin, we’ve built a system designed specifically for it.
Instead of relying on periodic updates, we use real-time monitoring across the entire funder ecosystem, so when opportunities appear, they’re detected immediately.
What Is an AI Agent (And How Is It Different to ChatGPT)
Before we get into how our system works, it is important to know what we mean by Ai Agent. When we talk about agents, we’re not referring to tools like ChatGPT.
ChatGPT is a reactive system. You give it a prompt, it gives you an answer. It doesn’t act on its own, monitor anything, or take actions over time.
An AI agent is fundamentally different.
An agent is a system that can:
- Operate independently
- Take actions without being prompted each time
- Follow a defined goal or task
- Interact with external systems (like websites)
- Run continuously in the background
This approach is often referred to as agentic AI, where AI systems are designed to do work, not just generate responses.
Instead of asking a question and getting an answer, you’re assigning a job and letting the system carry it out.
It Starts With Coverage (But Coverage Alone Isn’t Enough)
Most platforms focus on listing well-known funders.
We don’t.
We monitor the full UK funding ecosystem, including:
- Charity Commission (England & Wales): 21,000+ organisations
- OSCR (Scotland): 5,000+ organisations
- Northern Ireland Charity Commission
That’s tens of thousands of potential funders from national bodies to small local trusts.
But coverage alone isn’t what matters.
The real question is: how often is that data actually updated?
The Problem With Traditional Grant Databases
Most databases rely on manual processes.
A team checks websites, waits for announcements, and updates listings periodically.
That creates a lag.
By the time a grant appears:
- It may have been open for weeks
- Deadlines may already be close
- Or it may already be closed
And fundamentally, it doesn’t scale. No team can continuously monitor thousands of funder websites.
That’s the problem we set out to solve.
A Fully Automated Research System
At the core of Fundin is a continuously running research system powered by AI agents.
Instead of relying on people to find and update grants, we’ve automated the entire process.
Each agent has a specific role:
- Discovering new funding pages
- Monitoring existing funders for changes
- Extracting and structuring key data
They run in parallel, constantly.
This means:
- New opportunities are detected as soon as they appear
- Updates are captured automatically
- There’s no reliance on manual checking
The system is always on.
Real-Time Monitoring Across the Funder Network
Rather than a single process, we deploy multiple agents working simultaneously across thousands of funder websites.
They continuously:
- Scan for new funding opportunities
- Detect updates to existing grants
- Trigger extraction workflows automatically
If a funder quietly opens a short funding window, it’s picked up immediately.
You’re not relying on someone noticing it weeks later.
Built for the Reality of Funder Websites
Funder websites aren’t clean or consistent.
Grants are often:
- Buried in navigation menus
- Hidden across multiple pages
- Loaded dynamically
- Published in unexpected places like news sections
Most tools struggle here because they rely on simple scraping.
Our system is designed to adapt.
It uses deep crawling and, where needed, full browser-based interaction — navigating sites the way a human would.
If the information exists, the system can find it.
From Discovery to Structured Data
Finding a grant is only the first step.
Once detected, our system automatically extracts the details that matter:
- Funding amounts
- Eligibility criteria (including exclusions)
- Opening and closing dates
- Application requirements
- Key conditions and nuances
This happens instantly and consistently.
Instead of clicking through multiple pages, everything is already structured and ready to use.
Clean, Standardised, and Reliable
Raw funding data is inconsistent.
Every funder presents information differently.
Before anything appears in Fundin, it goes through automated validation layers that:
- Confirm whether the fund is currently open
- Remove duplicates
- Standardise funding amounts
- Map geographic eligibility
- Categorise sectors
The result is a clean, structured database you can actually filter and trust.
Human Review Where It Matters
AI handles discovery, extraction, and validation.
But we still apply a final human check before anything goes live.
This ensures:
- Accuracy of key details
- Clarity of information
- Edge cases are handled properly
Humans aren’t doing the research — they’re validating a system that’s already done the heavy lifting.
That’s what allows us to scale without sacrificing quality.
Continuous Re-Verification (Not One-Time Updates)
Most databases stop once a grant is added.
We don’t.
Our system continuously revisits funder websites and compares live data against what’s stored.
If anything changes:
- Deadlines
- Eligibility
- Application details
It’s automatically flagged and updated.
This keeps the database accurate over time — without manual intervention.
What This Means for You
In practice, this changes how you find funding.
You don’t:
- Miss short-notice opportunities
- Waste time checking funder websites
- Work from outdated information
- Spend hours researching basic details
Instead, you:
- See what’s actually open, in real time
- Understand eligibility immediately
- Know what’s required before you start
- Focus on writing stronger bids
Why This Is Industry-Leading
The difference isn’t just that we use AI.
It’s that the entire pipeline is automated end-to-end.
From discovery to validation to ongoing monitoring, everything is designed to run continuously — not periodically.
That’s what allows us to deliver a database that is:
- More up to date
- More complete
- And more usable
Try It for Yourself
The easiest way to understand the difference is to see it in action.
Get started for free and explore live funding opportunities tailored to your organisation.
