Your company’s operational datais a business asset.

Lettus AI helps companies turn operational data into new revenue by connecting it with frontier AI labs.

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Real business operations that help train frontier AI

Operational data captures how businesses actually operate. These assets help frontier AI models learn how companies work in practice.

01

Operational documentation

SOPs, knowledge bases, internal documentation, CRM data, project histories, and QA processes

02

Decision-making patterns

How teams evaluate information and make operational decisions

03

AI performance feedback

Human feedback on AI outputs in real business environments to improve model performance

How it works

A simple, privacy-first process designed for long-term participation.

  1. Get started
  2. Evaluation
  3. Discovery
  4. Partnership
1

Get started

Share basic information about your company and the operational data you may be able to contribute. This takes about 2 minutes.

1

Get started

Share basic information about your company and the operational data you may be able to contribute. This takes about 2 minutes.

2

Evaluation

Our team reviews your submission to determine whether your company's operational data is a fit for frontier AI training partnerships.

3

Discovery

If there's a potential fit, we'll request additional information and schedule a discovery call to discuss your data and privacy requirements.

4

Partnership

If approved, we'll finalize the agreement and data requirements and begin the partnership.

The systems that carry operational signal.

These are the everyday tools where workflows, decisions, and institutional context already live.

Data warehouses

BigQuery, Snowflake, Databricks

Table schemas and the structured records behind them, rich, interconnected, and built to mirror how the business runs.

Chat & messaging

Slack, Microsoft Teams, Google Chat

Full conversation histories, threads, participants, and reply structure preserved intact.

Email & calendar

Gmail, Outlook, Google Calendar

Email threads and event details, senders, recipients, invites, and the responses that connect them.

Documents, slides & files

Word, Docs, Slides, Excel, Sheets, Drive, SharePoint

File contents plus their metadata, authorship, timestamps, and access permissions.

Work & knowledge

Jira, Confluence, Asana, Notion, Linear

Tickets, wikis, and project records carried over with their complete history and metadata.

Business platforms

Salesforce, HubSpot, Workday, ServiceNow, SAP, Zendesk

CRM, HR, ERP, and support records from the core systems teams operate in every day.

The data that teaches a model how real work gets done.

We partner with established operators and draw signal from the everyday systems your teams already run on — never the raw systems themselves, only structured, de-identified records.

Industries of interest

Software & Technology

  • Software & Internet
  • Telecommunications
  • Managed IT Services (MSP)
  • Marketing Agencies
  • DTC E-Commerce

Financial, Legal & Insurance

  • Financial Services
  • Insurance Brokerage
  • Legal & Compliance
  • Law Firms

Healthcare & Science

  • Healthcare & Life Sciences
  • Scientific Research

Industrial, Energy & Logistics

  • Manufacturing & Robotics
  • Energy & Utilities
  • Equipment Rental
  • Freight Brokerage & 3PL
  • Field Services (HVAC, Plumbing, Electrical)

Public, Services & Consumer

  • Public Sector & Education
  • Business & Professional Services
  • Retail & Consumer
  • Property Management
  • Staffing & Recruiting
  • Hotel & Hospitality

How partnership value can scale

Every engagement is evaluated individually. Value reflects scope, quality, permitted use, refresh cadence, and active demand for the operational knowledge involved.

$75k+

Focused data contribution

A clearly scoped dataset from one business function, assessed for relevance, quality, and permitted use.

$250k+

Multi-system program

Connected context across several workflows or systems, potentially including agreed recurring updates.

$750k+

Strategic enterprise archive

Deep, differentiated operating history at enterprise scale, subject to diligence and active demand.

Frequently asked questions