Find active investors for your fundraising objective
Up to ten investors who have backed your kind of company recently, the partner who decides at each, dated evidence for every claim, and a contact route labelled Verified, Likely or Not found. Where we could not confirm something, we say so.
Not sure it is any good? Read a real sample report first, including what it could not verify.
Objective
Seed round for a London B2B AI startup, £1.5m
Organisation
Northbeam Ventures, UK seed fund
Person
Anna Reyes, General Partner
Decision maker (by role)Evidence
Led a £1.8m seed round in a B2B AI company, 12 Mar 2026
Source: a dated press article
Best way in
Published work email on the firm site
Likely
- 10
- investors per search, ranked by fit
- 3
- decision makers at most per firm
- 24
- months of activity checked
- 1
- source for every claim
Working backwards from your objective.
Objective → organisation map → function → verified person → evidence. Click any stage to jump to it.
> objective: "Find the person who can approve this partnership."
Parsed into what actually needs to be true for this outcome to happen.
Real research, real API calls. Takes a few minutes.
Objective
It doesn’t find people. It finds the right person for this objective.
Search and lead tools return everyone who could plausibly match. Access Agent starts from your objective and works out who actually matters to it.
LinkedIn or Google search
Finds people who match a title. Doesn't know if they're still the right target for your objective.
Apollo or generic lead databases
Returns volume: hundreds of contacts at a company, ranked by nothing in particular.
CRM search or manual research
Only surfaces what someone already logged. Says nothing about who's actually relevant today.
The trade-off: this takes a few minutes of real research per objective, not an instant list. If you just need volume fast, a lead database will still get you there quicker.
Built for agents
Give your agents the same research, over an API or MCP.
Everything above is also available as infrastructure: an agent submits an objective, Access Agent runs the same organisation, function, and person resolution, and returns a structured, evidence-backed answer.
curl
curl https://aidealigence.com/api/v1/objectives \
-H "Authorization: Bearer dl_live_xxx" \
-H "Content-Type: application/json" \
-d '{
"objective": "Find the person responsible
for UK fintech partnerships at Gulf banks"
}'Every recommendation comes with its evidence, in the open.
Not a black-box score. You see the claim, the source, how current it is, and how strong the evidence is, so you can judge the recommendation yourself before you act on it.
- Why this person, stated plainly
- Verified, likely, or unverified, never blurred together
- Evidence strength and how current it is
- Contact details only where published, each with its source
Publicly named as CEO across three independent sources, one first-party.
“...is currently Chief Executive Officer at Meridian Gulf Bank.”
See what you get.
Ranked results, the person behind each one, and the evidence path from article to opening line. Illustrative screens: the names and firms are invented. For real output, read the sample report.
Illustrative sample, invented firms
- fit 91
Northbeam Ventures
Led a seed round in B2B AI, March 2026
- fit 84
Harbour Capital
Closed a £60m fund focused on UK software
- fit 78
Kestrel Partners
Backed two AI infrastructure seeds this year
Anna Reyes
General Partner, Northbeam Ventures
“Northbeam led the £1.8m seed round...” Source: a dated press article
- Work email
- Likely
- Verified
- Phone
- Unconfirmed
Evidence path
- 1Article
- 2Signal
- 3Investor
- 4Decision maker
- 5Contact
- 6Opening line
Every link has a source. A missing link is shown as a gap.
Why I built AI Dealigence
“Every deal comes down to one person who can say yes. Everyone else is noise.”
I run a buy-side property advisory sourcing off-market deals and capital between GCC investors and the UK. Every tool I tried searched by job title and gave me hundreds of names, none of them telling me who had the authority and the timing to act.
So I built what I needed: a system that starts with the objective, finds the person who holds real authority, and backs it with checkable evidence. You can use it directly, or connect your own agent through the API or MCP.
Tell us what you’re trying to achieve.
Most objectives return an initial recommendation in under 5 minutes.