Advisory · Social & web data

Find the right data source.
Skip the expensive mistakes.

Mulberry helps product and intelligence teams navigate the social and web data landscape so you source smarter and build features that deliver.

Book an exploration call → What we do
The problem

Data sourcing is opaque and costly to get wrong

Most teams spend months evaluating vendors, only to sign contracts that underdeliver. The landscape is fragmented, sales processes are misleading, and coverage gaps only surface after you're locked in.

Months lost on vendor evals

Sourcing teams run trials that stretch to quarters, with no clear framework for comparison.

Coverage gaps found too late

Data quality and geo coverage issues surface after contracts are signed.

Overlapping vendors, duplicate costs

Teams buy overlapping sources because no one mapped the actual landscape first.

Infra decisions made in the dark

Without knowing delivery formats and schema, pipelines get built on wrong assumptions.

What we do

Expert advisory on every stage of sourcing

We come in at any point in the process, discovery, evaluation, or integration, and apply pattern-matched knowledge from working across the full landscape.

Source discovery

Know which vendors actually cover your use case before you talk to any of them. We map the landscape to your specific needs.

Vendor evaluation

Structured frameworks for comparing providers on coverage, freshness, delivery, pricing, and compliance.

Integration guidance

Understand delivery formats, schema quirks, and pipeline gotchas before you build. Avoid the assumptions that cost you later.

Product

Sourced

A guided research tool for companies evaluating social and web data providers. Built on a curated database of providers, sources, and capabilities that Mulberry tracks and maintains.

Guided discovery for data sourcing teams

Search and filter the provider landscape by use case, coverage, and capability. Stop starting from scratch every time you need to find a new source.

Explore Sourced →
Research

Independent analysis of the data landscape

Periodic landscape reports and commissioned independent field assessments of data and model providers.

Landscape reports

State of the social and web data market

Periodic analysis of provider coverage, pricing trends, and emerging gaps across the landscape.

View reports →
Independent field assessments

Commissioned independent product evaluations

Structured assessments of provider products, conducted independently and shared with their customers as third-party validation.

View assessments →
About
Tyler Logtenberg

Tyler Logtenberg

Founder, Mulberry

Mulberry is led by Tyler Logtenberg, an operator with deep experience in external data, data products, market intelligence, and operational execution.

Tyler has worked with data providers, platforms, and downstream consumers. His background includes building and advising data-driven products, supporting teams bringing data-as-a-service offerings to market, and helping organizations navigate sourcing, licensing, and scaling without unnecessary cost or risk.

His approach combines product judgment, market understanding, and hands-on operational experience with an emphasis on clarity before scale and long-term sustainability over short-term optimization.

Let's figure out your data stack together.

One call. No pitch. Just a conversation about what you're trying to build and what's in the way.

Book a call →