Give us a problem
your company can't solve.
Companies are deploying AI across more of their operations, but difficult business problems still resist satisfactory solutions. Bring us the outcome your organization is trying to achieve, and we’ll determine what is actually standing in the way—the question, the evidence, the data, the structure, interoperability, or something else entirely.
We're not looking for easy problems. We're looking for interesting ones.
A weak AI outcome can come from many places.
Data Universa works across the surrounding problem space to identify the constraint that is actually limiting the result.
The Question
The requested output may be vague, incorrectly framed, or impossible to validate as currently defined.
The Evidence
Useful evidence may already exist, but be fragmented, unstructured, incomplete, or difficult to access.
The Data
Existing datasets may be too narrow, too synthetic, poorly matched, or missing the populations and contexts that matter.
The Parsing
Critical information may be buried in documents, media, records, logs, or other formats not directly usable by AI.
The Interoperability
Relevant information may live across systems that were never designed to work together.
The Real World
The needed evidence may simply not exist yet and may have to be lawfully and consensually collected.
Selected Problems Start with Zero Fees
This is an exploratory problem-solving initiative. We choose the problems that are the best fit for our systems, interests, and capabilities.
Analysis + Existing DU Capabilities
Free
If we select your problem, our analysis and use of existing Data Universa systems, datasets, and capabilities are provided without charge.
New Real-World Data Collection
Quoted first
If the solution requires paying people to collect new data through DAM, we identify the collection cost and ask whether you want to fund it before proceeding.
Start with the outcome. Diagnose everything else.
No prescribed stack. No assumption that more AI is the answer. We begin with what you need to accomplish.
Tell us what you are trying to accomplish.
Describe the outcome, the current approach, and what is preventing you from getting a satisfactory result. You do not need to diagnose the technical root cause.
We determine what is actually missing.
If we select the problem, we examine whether the constraint is the question, the evidence, the structure, the compatibility of sources, the data itself, or another part of the system.
We apply existing Data Universa capabilities.
Depending on the problem, that can include parsing, structuring, normalization, provenance, interoperability, existing DU datasets, indexes, or other internal systems.
If the data does not exist, we can acquire it.
Through DataUniversa, its affiliates, and our Data Acquisition Marketplace, we have experience organizing lawful, consented, real-world data collection through distributed personnel and operating networks.
You approve any collection cost first.
Our analysis and use of existing DU capabilities are free for selected problems. If solving the problem requires paying people to collect new data through DAM, we identify the cost before anything is spent.
What's something AI should be able to do — but can't?
Tell us the outcome you want. Don't worry about diagnosing the cause for us.
A useful submission explains:
- ✓ What you're trying to accomplish
- ✓ What happens today instead
- ✓ Why the gap matters
Why Choose DataUniversa?
Enterprise AI problems rarely live inside a single model. Data Universa combines real-world data acquisition, structured evidence, interoperability systems, and an active global operating network to investigate the constraints that keep organizations from reaching reliable outcomes.
The systems are supported by a real-time global operating network.
Our team of 25 members operates across 7 countries, with data collected from 30+ nations.
Data Universa and Global Fast Fit have spent years developing systems for acquiring high-value, real-world data across multiple countries, with particular experience working in the Global South.
This is not a hypothetical capability.
Data Universa already operates datasets, field systems, identity and provenance frameworks, and interoperability tools. Selected problems can draw on that existing foundation instead of starting from zero.