Scattered licenses
Each team subscribes to its own AI tool with a different provider, and spending grows without an overall view.
Technology
Artificial intelligence across all your teams, without exposing code, customers or credentials
In a technology company, AI is already part of product, support, sales and engineering work. NiuCore organizes it in a single platform, with models from several labs, each team's connectors and criteria, sensitive information protected and consumption under control.
The challenge
Adoption already happened; governance is missing
Exposed information
Customer data, support tickets, contracts and credentials end up in conversations with external providers.
Uneven criteria
Everyone works with their own instructions, and customer replies or documentation vary depending on who writes them.
Disconnected tools
Information lives in email, documents, repositories and management tools, and has to be copied from one to another.
Tags
Each team's knowledge and tools, one tag away
In the chat, each employee cites with «@» the libraries, connectors and skills of their area: product documentation, the GitHub repository, email or the customer-reply procedure. NiuCore works with those resources and applies active anonymization to everything it sends to the model.
- Libraries, connectors and skills citable with «@»
- Connectors such as GitHub, Google Drive, Gmail, Slack and Notion
- Anonymization also on what connectors bring in
Control by area
Each team, with its connectors and permissions
Product, support, sales and engineering each work with the models, connectors and libraries they need. The company decides which connectors to enable and which actions to authorize — for example, reading emails but not sending them — and NiuCore asks for approval before running an action.
- Connectors and models enabled per area
- Allowed or restricted actions per connector
- Prior approval of actions, on by default
Applications
Tasks where NiuCore helps
Illustrative examples.
Customer support
Draft replies from product documentation and the case history.
Product documentation
Writing and updating guides, release notes and FAQs with the company's structure.
Technical review
Looking up repositories and technical documents from the conversation, with the employee's permissions.
Sales and proposals
Proposals and commercial follow-up in the company's tone and criteria.
Analytics by chatting
Usage and business dashboards built by describing them in the chat.
Spend control
Usage by team, person and model instead of scattered licenses.
Observability
One platform instead of several licenses
With NiuCore, the company replaces individual subscriptions to different tools with one license per person with access to several labs. Usage is recorded by license, person, model and date, and each area can be limited to the providers the company approves.
- One license per person, several labs
- Usage by team, person and model
- Approved providers per area
Before you subscribe
Frequently asked questions
Can developers use NiuCore with the company's code?
Yes, through the GitHub connector and libraries, with each employee's account permissions. Information that reaches the model goes through active anonymization.
Can the models each team uses be restricted?
Yes. Each area has the models the company decides to enable.
Does NiuCore have an API?
Yes. The public API lets you bring conversations, libraries, skills and analytics into the company's systems. The documentation describes its operations.
How is AI spending controlled?
Usage is recorded by license, person, model and date, and each user and the company can check it in the application.