Data Brokering & Introductions
The right buyer, introduced the right way.
We assess fit, match you with one best-fit buyer, and make the introduction only with your written consent. In this engagement, we never touch your data.
For companiesData intelligence · AI data · AI training
Know what your company's data is worth before a single file moves.
Steamwire Labs maps your operational records, tells you what's licensable and what stays out, and connects you with the right path to market, with our fees disclosed in writing up front. For AI teams, we source and shape the real-world data models can't get from the open web.
- No files or logins to start
- Written consent before any introduction
- Fees disclosed up front
01 / Why now
Models have read the internet. They haven't seen real work.
The next generation of AI is being trained and tested on how work actually gets done: the ticket that escalated, the deal that slipped, the exception someone handled because the playbook didn't cover it. That record lives inside operating companies, in email, chat, CRM, tickets and documents, and nowhere else. It's becoming a licensable asset. Like any asset, it deserves an honest appraisal, careful handling and the right buyer.
- Outcome-linked records carry more signal than raw volume.
- Cross-system history across a ticket, a thread and a document is rare and valuable.
- Rights and consent decide what can be licensed at all.
02 / What we do
Five disciplines. One standard of care.
AI Data
Permissioned, proprietary data for AI teams.
We turn a capability gap into a precise data spec, then source supply that is licensed, documented and fit for purpose.
For AI teamsAI Training
From records to tasks, environments and evaluations.
Task and rubric design, expert-data programs, evaluation sets and environment specs built on licensed, de-identified or synthetic seed data.
Training workData Preparation
Inventory, export, de-identify, package.
Your administrator runs native exports. We apply scoped exclusions, consistent pseudonymization and a human review, and deliver a documented package. This is a separate engagement from an introduction.
Preparation, separatelyConsulting
Strategy for the data you hold and the data you need.
Readiness reviews, licensing and exclusivity trade-offs, and the right questions for your counsel, for companies, AI teams and the advisors who serve them.
Start a conversationIntroductions and data preparation are distinct engagements with separate terms. For any given company, we do one or the other.Learn how we get paid.
03 / How it works
Nothing moves until you decide.
- 01
Conversation
A short call, under a mutual NDA if you want one. We learn the business. We don't ask for data.
- 02
Data Inventory
One row per system: tools, date ranges, rough volumes, owners, and what's clearly in or out of scope. No files, no logins, no exports.
- 03
Fit & path
A plain answer: introduce you to one best-fit buyer, scope a separate preparation engagement, or wait. "Not now" is a valid outcome.
- 04
Your written consent
Nothing proceeds without it. For introductions, you'll know the buyer's name and exactly how we're paid.
- 05
Execution
Introductions: the buyer runs its own diligence and agreement with you, and we stay in your corner as your point of contact. Preparation: native exports, exclusions, de-identification, QA, a documented package.
04 / Who we work with
Companies, AI teams, and advisors.
Companies with years of records
Established firms with real operating history: professional services, logistics, field services, finance, software, healthcare administration and more. If your team has run real work through email, chat, CRM and tickets for years, there may be something here. We'll tell you honestly either way.
For companiesAI labs & data buyers
Teams that need real-world work, not scraped text: post-training, agent and RL-environment builders, evaluation teams. Bring us the capability gap; we'll come back with a spec, a sourcing plan and a pilot sample.
For AI teamsAdvisors & partners
Accountants, fractional CFOs, IT service providers, VCs and M&A advisors see these companies first. When a client asks “Is our data worth something?”, bring us in. We protect the relationship, keep you informed, and never contact your client without your go-ahead. Partner terms are set out in a written agreement.
Become a partner05 / Why us
Independent, and specific about the work.
Independent by design
We start with what's right for the company, not with a quota for one buyer.
Fees in daylight
Before any introduction, we disclose in writing who pays us and how.
Fluent in what models actually use
Corpora, task datasets, RL environments, evaluations: we know the difference, and why outcomes, timelines and cross-system links matter more than raw gigabytes.
One path, cleanly run
One buyer per company at a time, because exclusivity is common and duplicate introductions can cost you the deal.
06 / Security & consent
The standard we hold ourselves to.
Trust in this market is earned in the details. Here are ours.
- 01
No-data-moves first
Our first engagement never asks for a file, a login or an export.
- 02
Consent, in writing
We introduce a company only after an authorized person agrees, naming the specific buyer.
- 03
Native exports only
When preparation is in scope, your own administrator runs the platform's native admin export. No third-party app is installed in your workspace, and you control what leaves.
- 04
Exclusions before anything else
Sensitive categories are scoped out before de-identification begins.
- 05
Consistent de-identification
People and companies become stable stand-ins, so relationships and timelines survive and identities don't. A human reviews a sample.
- 06
Documented delivery
Manifest, data dictionary, provenance and checksums with every package.
- 07
Separate engagements
Introductions and preparation never mix on the same company.
Questions
Asked plainly.
Do you buy our data?
No. Steamwire Labs is not the buyer. We help you understand what you have and, if it makes sense, introduce you to a buyer or prepare your data under a separate engagement.
How much is our data worth?
It depends on the buyer, your industry, your years of history, the systems you use and how much is licensable once sensitive material is excluded. We don't quote figures on a first call, and we won't promise a payout. Buyers make offers; you decide.
How do you get paid?
Companies pay nothing upfront. When a deal closes, the data buyer or partner compensates Steamwire. We put that in writing before any introduction. How we get paid.
Will our clients' or employees' information be shared?
Not in identifiable form. Sensitive categories are excluded first, and identities are replaced with consistent stand-ins before anything is licensed. The buyer's agreement with you sets the final terms.
Do we have to give anyone access to our systems?
No. The first engagement needs no access at all. If preparation is in scope, your own administrator runs native exports.
Can we license to more than one buyer?
Sometimes, but many buyers require exclusivity. We'll help you understand the trade-off before you commit, and we route each company to one buyer at a time.
Are you affiliated with any AI lab?
No. Steamwire Labs is independent and isn't an agent of any AI lab or data vendor.
Is this legal advice?
No. We work alongside your counsel and help you ask the right questions.
We're an AI team. What do you need from us?
A short note on the capability you are training or evaluating, where current data falls short, and your acceptance criteria. We come back with a spec and a sourcing plan. What to send us.
I'm an accountant, CFO, or MSP. How does partnering work?
Introduce us when a client asks. We never contact your client without your go-ahead. Terms are set out in a written agreement. Read the partner page.
Start with a conversation.
A short call. No files, no logins, no obligation. You'll leave knowing whether there's a fit, and what happens next if there is.