The short answer: because finding startups was never the hard part. A company database gives you a search bar and a list. The work that turns a list into a partnership still lands on your team: defining the problem, judging fit, finding the right founder to talk to and getting a business unit to commit. Corporates need something that does that work too. That’s an AI agent that runs the process, with people free to focus on the relationships and decisions.
A decade of matching corporates with startups has taught us one thing above all. The search takes 20 minutes. The work around it takes 20 weeks.
Why isn’t a company database enough on its own?
Most company databases, and plenty of startup scouting tools, are built around one moment: the search. You type in a keyword, set a few filters and get a list. That’s useful when you know exactly what you’re looking for. Corporate partner searches rarely work like that.
- Briefs start fuzzy. A challenge usually arrives as one line between two meetings, and the best answer often sits in a neighbouring industry that uses completely different words.
- The right partner might be an early-stage startup or a university spin-out that barely shows up in company data yet.
- A list isn’t a decision. Someone still has to read every company, score it against your priorities and explain the shortlist to people who weren’t in the room.
- Finding a name is the easy bit. Getting the founder on a call and a business unit to run a pilot is where the weeks go.
Add another login and another search bar, and you’ve given your team more to do, not less.
Where does the time actually go?
Corporate innovation has three stages. Most databases only really help with the middle one.
| Stage | What a company database usually gives you | What still lands on your team |
|---|---|---|
| Before: defining the problem | An empty search bar | Turning a vague request into a clear brief, with priorities, constraints and what’s out of scope |
| During: discovery | A list of results | Reading every company, scoring each one against your strategy and explaining why it made the cut |
| After: decision and action | An export button | Deciding who to meet, finding the right person to contact, setting up introductions and planning the pilot |
The middle stage is the quickest and the least valuable. The first and last stages are where most innovation programmes quietly stall.
What does it look like when an AI agent does the work?
We spent a decade learning how corporate innovation actually gets done. Now our AI agent, Goob, runs it for you.
You describe a challenge in plain language. Goob turns it into a proper brief, tells you which angles are worth chasing (and which it’s leaving out) and checks the plan with you before it searches a thing. Then it searches live, reads what comes back, scores every candidate against your Corporate DNA™ and puts a shortlist on your desk with its reasoning next to each name. When one catches your eye, it tells you who to speak to.
Want the whole thing done in one go? AutoScout takes a problem statement and runs it end to end when you ask it to: longlist, scoring, a top 20 shortlist, deep dives on the top 10 and a deck you can present. Got five departments asking five different questions about the same shortlist? Add a research column and Goob looks up the answer for every startup on the list.
And because Corporate DNA™ learns from every brief, the work compounds. The shortlist on your fiftieth brief is sharper than the one on your first.
What changes for the innovation team?
Corporates have the resources and the talent to change things. What they don’t have is time. When the operational work is handled, your team stops scouting and starts deciding.
Tesco’s innovation team already had strong scouting through Tesco’s Red Door and its external network. It wanted a faster way to find partners it wouldn’t reach organically. With Goob, the team now works with many more teams across the business, giving colleagues a prioritised shortlist of credible partners for their problems. In Tesco’s words, Goob and Co:cubed are “reducing the reliance on manual scouting and helping teams access potential solutions at the pace they need.” Read the Tesco story.
At dsm-firmenich Ventures, Goob took the team from a starting idea to a full startup map in one place, and its due diligence agents narrowed the longlist to a clear shortlist. The result was as much about recognition as speed. As Philip Hul, Deal Captain, put it, “the work of our scouting team is much more visible.” Read the dsm-firmenich story.
You can run Goob yourselves with Goob Direct, with monthly support from a dedicated Matchmaker, or have a Matchmaker run it for you with Goob Delivered. Either way, your people spend their time on the relationships, the pilots and the decisions that move things forward.
Is there still a place for databases and scouting platforms?
Absolutely. We’d be the first to say that some jobs are best done by a database or platform you run yourselves.
| If your main job is to… | Look at |
|---|---|
| Have enterprise-ready startups respond to your needs, with one shared record from sourcing to rollout | SwitchPitch |
| Govern lots of startup and vendor pilots across the business | Traction Technology |
| Get heavily validated shortlists before engaging | Novable |
| Run your own scanning of markets and partners | FounderNest |
| Dig into patents, publications and research | Wellspring Scout |
| Keep ideas, partners and innovation portfolios in one place | HYPE, Bloomflow, ITONICS |
| Check one company’s history, deals and news | PitchBook, Tracxn |
Plenty of corporates run two layers: something that finds and lands the right partners, plus the system of record or data platform the organisation already uses. For a fuller side-by-side, see our guide to the best startup scouting platforms for corporate innovation teams.
How can you tell whether a vendor does the work or hands it back?
Ask these questions in the demo. Then test the answers on a real brief.
| Ask the vendor | If it does the work, you’ll hear… |
|---|---|
| What happens if my brief is one vague sentence? | We’ll turn it into a clear brief and check it with you before searching |
| How do you decide who makes the shortlist? | Every candidate is scored against your priorities, with the reasoning shown |
| What do I get at the end? | A shortlist you can present, with recommendations and the right contact for each company |
| Who reads all the results? | The agent does. You read the shortlist |
| Is our brief used to train your models? | No, and here’s what the contract says |
| How do colleagues outside innovation use it? | They bring a challenge; they get back a prioritised shortlist |
Then run one live brief, with a named business owner, through two or three options in the same week. Compare how many good candidates were new to you, how well each fit was explained and how many hours your team spent getting to a first founder call. That last number tells you most of what you need to know.
Frequently asked questions
A company database gives you data and a search tool, and your team does the work around it. An AI scouting agent like Goob does the work itself: it builds the brief, searches, scores and shortlists, and tells you who to talk to. Your team reviews the recommendations and makes the decisions.
No. It gives them their time back. Goob handles the operational work so your people can focus on what only they can do: founder relationships, internal buy-in, pilots and decisions.
The search itself can take minutes. In one recent run, Goob’s AutoScout went from a problem statement to a ranked shortlist and presentation deck in under half an hour. Founder calls, validation and internal alignment take longer. Reckitt’s brain health partnership with Cognifit went from idea to market in six months.
Ask every vendor whether your data is used to train models, who can see your searches and what the contract commits them to. For Goob, queries aren’t used for model training, searches stay in your own account with admin access limited to three people at Co:cubed, and paid licences include a confidentiality clause. Free trial users agree to our published policies at sign-up.
Usually two at most. Several overlapping databases tend to create more lists, not more partnerships. Before adding anything, ask what decision it will help someone make faster, and who outside the innovation team will actually use it.
Bring us a brief
Got a challenge your team keeps putting off? Book a demo and we’ll run it with you, or start your free seven-day trial and let Goob get to work.
Sources
Details checked in October 2026, on each organisation’s own website unless noted:
- Co:cubed: Tesco story, dsm-firmenich story, Reckitt story, pricing, policies
- SwitchPitch: switchpitch.com
- Traction Technology: about page
- Novable: novable.com
- FounderNest: innovation scouting page
- Wellspring Scout: wellspring.com/scout
- HYPE: hypeinnovation.com
- Bloomflow: homepage
- Tracxn: Capterra listing