Closed systems see the raw work
Standard AI workspaces process sensitive prompts and files in plaintext. Your team’s IP, customer data, and strategy depend on vendor policy, account settings, and trust.
Maple Teams
Sovereign AI for teams
Give every employee powerful AI for strategy, research, writing, coding, and analysis while keeping your IP, customer data, and reasoning under your control.
$30
per user / month
2x
Pro usage per seat
0
closed AI labs receiving your prompts
The ownership risk
Your team is already putting company intelligence into systems you do not own.
Business AI is not just a writing tool anymore. It now sees customer lists, product roadmaps, financial models, board prep, source code, legal strategy, and the messy reasoning behind decisions. In closed systems, that context becomes part of someone else’s intelligence layer.
Your expertise can train the competition
When proprietary context flows into standard AI platforms, the same shared intelligence layer gets better for competitors using those platforms too.
The vendor owns the intelligence layer
Closed providers control models, behavior, moderation, memory, and product incentives without your team being able to inspect what changed.
Ownership boundary
Paste a client note, strategy memo, or roadmap. See what stays yours.
The difference is not just a policy promise. Maple encrypts the work before it leaves the device and only reveals it inside protected infrastructure, so your IP, customer data, and strategy are not handed to closed AI platforms.
What closed AI platforms receive
Plaintext business context.
A readable record of your team thinking through sensitive work.
Policies decide who can access it and how it may be used later.
What Maple Teams receives
Encrypted bytes before the request leaves your device.
Decrypted only inside hardware-isolated infrastructure for inference.
Your IP, customer data, and strategy are not routed to closed AI labs.
Browser-side preview. AES-256-GCM with a session-only key.
Start a TeamWhat teams get
Sovereign AI without the IT project.
Maple Teams gives businesses the AI workflows people expect, with structural controls for company data, IP, strategy, and connected business data.
End-to-end encrypted workspaces
Keep strategy, customer data, research, and files inside your organization’s AI workspace.
TEE-hosted open-weight models
Run capable open intelligence inside hardware-isolated environments that make the data boundary verifiable instead of trust-only.
Chat, research, coding, and file creation
Give your team everyday AI workflows without routing company work through closed labs.
Connect the data your team already uses
Maple supports MCP, giving your team access to thousands of compatible data sources. Incoming data is encrypted when it enters Maple.
Encrypted API access
Maple Proxy API brings the same ownership boundary into workflows and developer tools that should not send company data to plaintext providers.
Maple Proxy API
Bring sovereign AI into the workflows your business already runs.
Maple Proxy API lets teams route existing apps, developer tools, automations, and internal pipelines through Maple’s encrypted infrastructure instead of sending company prompts, files, and workflow data directly to standard AI providers.
- Drop into tools and scripts that already speak to AI APIs.
- Keep prompts, files, and intermediate reasoning inside Maple’s ownership boundary.
- Use the same private-by-design architecture for chat, code, research, and workflow automation.
import OpenAI from "openai";
import { createCustomFetch } from "@opensecret/react";
const apiKey = process.env.MAPLE_API_KEY!;
const apiUrl = "https://enclave.trymaple.ai";
const openai = new OpenAI({
baseURL: `${apiUrl}/v1/`,
apiKey,
fetch: createCustomFetch({ apiKey, apiUrl }),
});
await openai.chat.completions.create({
model: "glm-5-2",
messages: [{ role: "user", content: confidentialStrategyMemo }],
stream: true,
});Open intelligence is ready
The models are strong enough for real business work.
Open-weight models now handle the work most teams need every day: writing, analysis, research, coding, customer insight, and decision support. Maple Teams gives your organization access to capable models without making your proprietary work part of a shared black box.
Kimi GLM Gemma GPT-OSS
Use strong open-weight models where ownership matters most, with Maple’s encrypted architecture around your company work.
Built for proprietary work
For teams whose knowledge is the business.
Law firms, accounting practices, medical professionals, human rights organizations, government teams, journalists, creative studios, musicians, software teams, advisors, and operators use AI differently when their work stays theirs.
Professional services
Draft, summarize, and analyze client work without turning privileged materials into vendor-side records.
Creative and media teams
Develop scripts, pitches, music concepts, campaign ideas, and production plans while keeping unreleased work inside the team.
Sensitive-mission teams
Work through source material, case notes, research, field reports, and operational plans without handing sensitive work to closed AI platforms.
Product, finance, and operations
Explore code, forecasts, customer analysis, pricing, vendor notes, and launch plans with a sovereign AI workspace.
Built for business ownership
| FEATURE | MAPLE | INDUSTRY STANDARDS |
|---|---|---|
| End-to-end encrypted workspaces | Maple: Included  | Industry: Not included  |
| TEE-hosted model execution | Maple: Included | Industry: Not included |
| Open-weight models | Maple: Supported | Industry: Not supported |
| Admin-managed team seats | Maple: Included | Industry: Not included |
| No closed AI labs receiving your prompts | Maple: Included | Industry: Not included |
Sovereign AI Questions
What is Maple Teams?
Maple Teams is a sovereign AI workspace for businesses that want AI for research, writing, coding, analysis, and file work without handing IP, customer data, or strategy to closed AI platforms.
What does sovereign AI mean for a team?
It means your organization keeps control over the work your team puts into AI: prompts, files, customer data, strategy, internal reasoning, and the value created from that work.
Does Maple send company data to OpenAI, Anthropic, Google, or Chinese AI labs?
No. Maple runs open-weight models inside protected infrastructure, including models developed by Chinese AI labs. Company prompts and files are not sent to OpenAI, Anthropic, Google, or the labs that developed those open-weight models.
Do we need to run local AI infrastructure?
No. Maple gives teams a cloud AI experience without requiring local servers, GPU management, or an internal AI infrastructure project.
What is Maple Proxy API?
Maple Proxy API lets teams route existing tools, scripts, apps, and workflows through Maple’s encrypted architecture instead of sending sensitive work directly to standard AI providers. It provides zero data retention (ZDR), so API prompts and responses are not retained.
Does Maple support the Model Context Protocol (MCP)?
Yes. Maple supports MCP, so businesses and individuals can connect thousands of compatible data sources. Data is encrypted when it enters Maple; Maple’s encryption does not extend back into the third-party source.
Team plan
One sovereign AI workspace for the whole organization.
Maple Teams includes the encrypted architecture behind Maple Research, expanded for organizations that need secure workspaces, admin-managed seats, pooled usage, unified billing, MCP data connections, Maple Proxy API access, and AI workflows that keep company work under company control.
Encrypted workspaces
Pooled team usage
Unified billing
Maple Teams
$30 /user/mo
- All features from Pro
- 2x more usage per team member
- Pool chat credits across the team
- Unified billing
- Admin-managed team seats
- MCP data source connections
- Maple Proxy API access
Own your companyintelligence.
Give your team AI that keeps the work yours.
