The same work gets repeated
When everyone solves the same problems on their own, the hours add up. New hires often have to start from scratch as well.
Enterprise AI · deployed your way
Build AI into a lasting company capability
Grove brings your team's AI conversations, knowledge, templates and working files into one department workspace. Deploy it in your data center or a dedicated cloud environment, with access controls, audit records and scheduled agents built in.
- Company knowledge and templates in one workspace
- Implementation support from our engineers
- Your data and results stay in the environment you choose
Interface shown in Traditional Chinese; English is available from the in-app language switcher.
Why Grove
Personal AI saves time. Companies need that value to add up.
Employees already use tools like ChatGPT for everyday work, but the conversations, templates and experience often stay in personal accounts. Grove gives the team a place to share, retain and manage what they learn.
Critical know-how is hard to pass on
Important decisions often depend on years of experience. Turning those standards into repeatable workflows makes them easier to teach and apply consistently.
General-purpose AI lacks company context
Internal terminology, report formats and customer requirements differ from one company to another. AI needs that context to produce work your team can actually use.
What Grove includes
Six core capabilities for company-wide AI workflows
Grove offers a familiar chat experience while keeping templates, files and workflows in a shared department workspace. AI can work directly with those files, while access controls and audit records give IT the oversight it needs.
Department knowledge and templates
Turn proven prompts and workflows into shared templates. Company terminology, report formats and decision criteria become a knowledge base that helps AI work the way your team does. Our engineers help set it up during implementation.
Shared AI conversations
Conversations can be shared within a department. Teammates see the full context and can continue the same thread, so both the discussion and the result stay with the team.
File workspace
AI can read and edit files in a shared team workspace, including cell-level Excel changes, Markdown documents, presentations and boards. The result is a usable deliverable, not text to copy and paste.
Scheduled AI agents
Weekly reports, data summaries and routine checks can run on a schedule. Results return to the team conversation automatically, with notifications when the work is complete.
Department access and audit records
Each department has its own workspace and data boundary, with administrator and member roles controlling access. Every request and tool action is recorded for security reviews and later investigation.
Deployed in your environment
Grove can run in your data center or on dedicated infrastructure. Your company manages the templates, knowledge base, conversations and files, while choosing cloud API, hybrid or fully on-premises inference.
Product tour
See how Grove works
These four common workflows use fictional demo data. Select a tab to change the screen.
Colleagues can see the full exchange with AI and continue the same thread. It is always clear who asked a question and who the AI is responding to.
- Shared within the department
- Multiple people can continue the work
- Every tool action remains visible
AI can read and edit files in the shared workspace. Excel files open in the browser for cell-level editing and download, while documents, presentations and boards stay in the same place.
- Cell-level XLSX editing and download
- Results saved to the team workspace
- Documents, presentations and boards together
Sign-ins, shared conversations, AI tool actions and file access appear on a single timeline. Administrators can filter by user and review monthly usage reports.
- Every API request and tool action
- Filter by user or department
- Monthly usage and cost reports
Routine reports, data summaries and regular checks can run on a schedule. Each result is added to the same conversation, while the complete file is saved to the workspace.
- Runs automatically on schedule
- Results stay in one conversation
- Complete files saved to the workspace
Use cases
Start with high-frequency reports and data-heavy routines
Draft technical reports and prepare recurring summaries
Engineers provide the source data and Grove prepares a draft using the company template. Scheduled agents can also compile weekly summaries, leaving the team more time for analysis and decisions.
Turn meetings, documents and raw data into usable work
Bring scattered files into the team workspace, then use AI to compare, organize and turn them into summaries or presentations. Teammates can continue the same conversation, and the finished files stay in the workspace.
Deployment and data location
Run Grove in your environment and choose where AI inference happens
Team files, conversations, attachments and audit records stay in the environment your company chooses, under your own backup and retention policies. You can then select an inference architecture based on data sensitivity and security requirements.
Cloud inference
Use enterprise cloud model APIs
- Where inference runs
- Cloud model API
- What leaves your network
- Inference requests
- Grove and company data
- Your environment
Best forMost business workflows
Hybrid inference
Route requests by data sensitivity
- Where inference runs
- Based on data classification
- What leaves your network
- Only approved inference requests
- Grove and company data
- Your environment
Best forOrganizations with data classification policies
Fully on-premises
Run inference on an internal GPU server
- Where inference runs
- Internal GPU server
- What leaves your network
- Nothing
- Grove and company data
- Your environment
Best forClosed networks and highly regulated environments
Cloud inference can connect to enterprise APIs from Anthropic (Claude) or OpenAI, subject to each provider's commercial terms. For hybrid and fully on-premises deployments, we can help plan the model server and GPU hardware together.
Comparison
The difference is not access to AI. It is how the company manages it.
Grove gives departments a shared, managed workspace. Personal AI accounts leave conversations, knowledge, files and costs spread across individual users.
Lychee Grove Individual ChatGPT accounts
Conversations and knowledge Shared and retained by department Scattered across personal accounts
Data boundaries Department isolation and role-based access Managed separately by account or plan
Audit records Every request and tool action recorded Records spread across individual accounts
Working with company files Read and edit files in a shared workspace Individuals upload and download files
Recurring work Runs automatically on a schedule Set up and managed by each user
Cost management Usage summarized by department and user Subscriptions and usage managed separately
Implementation
Prove one or two real workflows, then expand
- 1
Choose one or two workflows for a PoC
We identify workflows with clear value, such as recurring reports or data summaries, then test them on a small scale using real company data.
- 2
Deploy Grove in your environment
We install Grove in your data center or on dedicated infrastructure, then configure departments, accounts and permissions. Files and records stay in the location your company chooses.
- 3
Expand one department at a time
Once a workflow is proven, it becomes part of the team’s day-to-day work. Additional departments can be added as needed, and eligible PoC fees can be credited toward full deployment.
2016founded
Experience building systems for financial and insurance companies
3Taiwan patents
Product development and systems integration expertise
3deployment architectures
Cloud API / hybrid / fully on-premises
The name
Why is it called Grove?
A grove is a group of trees growing together. Each tree has its own roots, but they share the same ground.
Everyone on a team can use AI independently. When conversations, knowledge, tools and workflows live in one shared workspace, individual productivity begins to grow into a lasting company capability.
Start building your company's AI capability with one workflow
Tell us what your team wants to improve. We will help you scope a small PoC and test the value in real work.