A decade on the buyer side of these contracts, now on your side of the table. Use Mulberry's tools to map the market and test providers yourself, or bring Mulberry in when you want the guidance, flexibility, and judgment of someone who has signed these deals before.
You signed the contract. Then the gaps showed up.
Missing coverage. Stale data sold as real-time. A provider that looked great in the demo and thinner every month since.
Most data buyers discover what they actually needed only after they have paid for the wrong thing. Mulberry exists so the second contract is not like the first.
Use the tools Mulberry built. Sourced maps your options before you talk to a provider. KeyKit tests whether an API actually works for you. Both are standing products you can use without an engagement.
Advisory, for when you want the personal touch. Requirements built with you, a shortlist made for you, introductions brokered, and judgment on the calls the tools cannot make. See how advisory works.
Data and model providers commission Mulberry too, for Independent Field Assessments they use as third-party proof with buyers.
Requirements before providers. We work through use case, coverage, freshness, delivery, and budget before any provider enters the picture. This is the advisory conversation.
Your matches from Sourced, the map Mulberry built to show your real options before you talk to a provider. A standing product you can use yourself, with no provider sales cycles triggered.
Structured evaluation on KeyKit, the product Mulberry built to do the hard part: seeing whether an API works for you, without the time, resources, or setup you do not have. Fit, Partial Fit, or No Fit against your requirements, plus monitoring after you sign.
Tyler has spent over a decade on the buyer side of the web and social data market, building products in OSINT, social intelligence, and market intelligence. He has run the evaluations, signed the contracts, and felt the gaps firsthand.
Mulberry exists because people came to Tyler to help guide them to building their own products, and the biggest gaps always came from feeding those tools. He built Mulberry to close that gap.
Periodic landscape reports and commissioned independent field assessments of data and model providers.
Which sources teams actually use, by use case. Published on Sourced.
Structured assessments of provider products, conducted independently and shared with their customers as third-party validation.
Commissioned by data and model providers, conducted independently by Mulberry, and published as third-party validation. An IFA gives you credible proof of quality to use in sales conversations, investor decks, and customer materials.
For data and model API providers who want to accelerate trust with buyers.
Even the providers trust Mulberry's analysis.
Mulberry provides a far better value than the major consulting firms at a very competitive price. They don't just run a few quick tests and dump it in a spreadsheet, but conduct a thorough qualitative and quantitative analysis that helps us discover our strong and weak points.
