An onshore data team for the businesses the AI boom skipped.
Benner House turns the records a business already keeps into data that can train and test AI models. We work from Jackson, Mississippi, with an employed, US-based team of engineers and domain experts, for regional enterprises and the AI companies that build for them.
Why this company exists
The largest training-data vendors have organized themselves around a small number of frontier AI labs: their contracts, their crowds, their tooling, their timelines. That work is real, but it leaves a different customer without a natural partner.
A hospital system with fifteen years of discharge summaries, a carrier writing coastal property in three states, a freight operator with a decade of bills of lading and dispatch notes: these organizations have exactly the data a useful model needs. What they lack is a team that will read the actual records, inside their own environment, with people who understand the work those records describe, and then prove that the resulting dataset made a model better.
That is the whole job, and it's the one we built Benner House to do. The data your business already has is the model you haven't trained yet. Our work is making it trainable, safe to use, and measurable.
Why Jackson and the Gulf South
Our clients' data looks like our neighbors' work. The Gulf South runs on hospital systems and rural clinics, on insurers who price hurricane and flood exposure, on river and port logistics, on refineries, pipelines, and power plants, on row crops and timber, and on law practices with decades of paper files. The people who do that work live here, and many of them want serious, well-paid part-time work that uses what they know. They make up our expert network.
Jackson also lets us keep an employed, onshore team at prices a mid-market budget can carry. That is a large part of how our published starting prices stay where they are without sending work offshore or to an anonymous crowd.
And it puts us within driving distance of the clients who want us in the room: New Orleans, Baton Rouge, Memphis, Birmingham, Hattiesburg, and the Mississippi Gulf Coast. Most of our work happens remotely inside a client's cloud tenant, but when records can only be read on-site, we go to them. More on the region is on our Gulf South page.
How the team is built
Everyone who touches client data is a US person employed by Benner House, background-checked, and bound by a written confidentiality agreement. We don't use an anonymous crowd and we don't subcontract offshore.
Data engineers
Build the parsers, deduplication and redaction pipelines, and distributed jobs that run in your cloud. They own the Source, Parse, and Clean gates of our method.
Privacy reviewers
Map where personal and health information sits, configure redaction or pseudonymization, and measure what it misses on hand-labeled samples. They own the Protect gate.
Annotation leads
Write guidelines and rubrics with your experts, run calibration rounds, and watch agreement batch by batch. No batch ships without their sign-off on the Label gate.
Domain experts
Clinicians, coders, adjusters, underwriters, attorneys, paralegals, engineers, and field technicians who score, rank, and write examples. They are part-time employees, verified before they see a record.
Machine learning engineers
Run baseline fine-tunes, calibrate judge models against expert scores, and produce the before-and-after measurements of the Prove gate.
Engagement leads
One person per project who owns scope, schedule, risks, and the weekly written report. You always know whom to call, and that person knows the data.
The principles we work by
- Measure before we claim. Every dataset ships with a before-and-after against an evaluation set your experts accept.
- Leave raw records where they live. We work inside your cloud tenant or on your premises, through access you grant and can revoke.
- Write down where everything came from. A provenance manifest listing sources, licenses, transformations, and reviewers goes with every delivery.
- Stay neutral. We have no ties to any AI lab or model vendor, and we recommend no platform by default.
- Publish prices. Assessments and pilots have starting prices anyone can read before calling us.
- Treat experts as professionals. They are employed, paid hourly at professional rates, and shown their own quality scores every week.
- Delete on schedule. Client data is deleted within 30 days of project close, and you receive a written deletion record.
What we won't do
Some lines are easier to hold when they're written down in public.
We won't
- Copy your raw records into our systems or a vendor's cloud for convenience
- Send your work to an offshore team or an anonymous crowd
- Train our own models on your data or reuse it for another client
- Accept referral fees or commissions from model vendors or software platforms
- Sell you a production run before a pilot has shown a measured gain
- Give legal advice about your data rights or obligations
What we do instead
- Work inside your tenant or on your premises, under access you control
- Staff every project with employed, US-based people you can ask about by role
- Use your data only for your project, then delete it with a written record
- Recommend tools on fit alone, and tell you when what you already own is enough
- Recommend stopping or redesigning when the number doesn't move
- Document the evidence and work alongside your counsel, who makes the call
Editorial policy
Benner House publishes practitioner articles in Insights, along with reference pages such as the glossary and the readiness scorecard. This policy explains how that material is written, sourced, and corrected.
The Benner House Research Desk byline
Articles are published under the byline "Benner House Research Desk" because each one is a team product. A practitioner who does the work described drafts the piece; a second team member checks the method, the arithmetic, and every cited source before it is published. We keep individual staff names off the public site because many of our people handle sensitive client records. Some drafts are prepared with the help of AI writing and research tools; nothing is published until a person has traced each statistic to its source and approved the final text.
How facts are sourced and dated
- Every statistic and external fact links to its primary source: the regulator, the statute or rule, the standards body, the official announcement, or the original paper. We don't cite coverage of a study when the study itself is available.
- Each cited fact is recorded with the source's own publication date, and every article shows the date it was published. An article never cites a source published after its own date.
- Articles are written as of their date. Laws, prices, and model capabilities change; when a change makes an article materially wrong, we add a dated update note rather than quietly rewriting it.
- Case examples are illustrative composites built from common patterns, and they are labeled as such. They are not accounts of named clients.
- Where an article describes a law or regulation, it describes rather than advises. Benner House is not a law firm and does not provide legal advice.
Independence
We don't publish sponsored content, accept payment for coverage, or use affiliate links. When an article names a tool, format, or vendor, it is because the method requires it, not because anyone paid for the mention. Links to our own services are ordinary links, and they are never disguised as sources.
Corrections
If you find an error, email hello@bennerhouse.com with the article's address and what you believe is wrong, ideally with a source. We acknowledge correction requests within two business days. When we correct a factual error, we fix the text and add a note at the end of the article giving the date and what changed. Typos and broken links are fixed without a note.
Questions about Benner House
Do you only work with companies in the Gulf South?
No. We work with organizations anywhere in the United States, almost always through remote access to their own cloud or network. Our depth is in the industries the Gulf South runs on, which happen to be the industries with the hardest records: healthcare, insurance, logistics, energy, and legal.
Are you affiliated with an AI lab or model vendor?
No. We have no ownership, reseller, or referral ties to any AI lab, model provider, cloud, or labeling platform. That lets us tell you when a smaller open model, a retrieval system, or no model at all is the better answer.
Why don't you list clients or staff names?
Most of our work is covered by confidentiality agreements, so we don't publish client names, logos, or case studies about identifiable organizations. The engagement examples on this site are labeled illustrative composites. We keep staff names off the public site because they handle sensitive records. You meet the people who would work on your project, by name, before any data moves.
Can we visit your office?
Yes. We're at 188 East Capitol Street, Suite 1350, in downtown Jackson, and we're glad to host a working session by appointment. Write to us through the contact page.
Keep reading
Bring us one messy data source and one question.
Tell us what the data is and what you want a model to do with it. A data engineer, not a salesperson, will reply within one business day with questions and a proposed first step.