Introducing Madav 2.0 · cloud, desktop and your own servers See what's new →

Hand off the work.
Keep the proof.

One workspace for every AI model, premium or free. Chat, build software, write real documents and run agent teams, connected to Google Workspace and any tool you use, on our cloud or on your own servers.

Any model, one placeUp to 10x fewer tokens*Your servers, your data

Base fee + credits at cost · Your files stay yours

madav.ai/app · live demo, sample data
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1 app

End to end, in one place

Chat, code, documents, agents, routines and connectors live in one workspace. No copying context between five tools, no five bills.

≤10x

Fewer tokens for the same work

The right model for each step, documents read once into text, cached context and compaction keep every run lean.*

0 bytes

Of your data at Madav, if you choose

Run the whole stack on your own servers with your own models. Only sign-in and billing talk to our cloud.

74 models · 17 makers · cloud and local
How it works

Say what you need.
Watch it work. Keep everything.

✦
01

Describe the outcome

In plain words, with your files, folders or a Google Doc attached. Madav picks a model that fits the task and your budget.

Madav asking permission before editing a file, showing the exact change
02

Watch it work, stay in charge

A visible plan and live narration. Every edit, command or email waits for your yes, or runs on the autonomy level you set.

A finished run listing what changed and what was checked
03

Keep the proof

What changed, what was checked, what it cost. Real files in your folder or Drive, and a record of every run.

One workspace

Everything AI can do for you,
without the tab juggling.

Madav replaces the chat app, the coding agent, the document tool, the automation tool and the model router you would otherwise stitch together.

Sessions

Chat and build on any model

Ask a question or hand over a whole folder or repository. Madav plans, edits, runs the checks and shows you the evidence before it says done.

Madav's home screen: What shall we create today?
Agents & teams

Specialists you set up once

Describe an agent in your own words. Call it with @ in any session, or put several to work as a team that hands work down the line.

Routines

Work that runs on a clock

Daily summaries, weekly reports, watchdogs. Routines run in the cloud after you close the laptop, read-only unless you allow more.

Documents

Real Word, Excel, PowerPoint, PDF

Files you can open and send, read once into plain text before any model sees them, so long documents cost far less.

Models

Recommend me, Model gym, Routing

Madav suggests a model for your work and budget, ranks models on your own runs, and never spends on a paid model without approval.

Interfaces

Skills, connectors, plugins, hooks

Teach Madav a task once as a skill. Plug in any connector. Everything it can do and reach sits in one page you control.

Your interfaces.
SkillsConnectorsPluginsHooks
Gmail
Read · drafts need your yes
Connected
GitHub
Read and write · 3 repositories
Connected
Themes

Your look, every screen

Light, dark and custom themes across web, desktop and phone, so Madav feels like your own tool.

House dark
House light
Midnight
Forest
Paper
Rose
Agents & teams

Hire specialists in a sentence.
Put them to work as a team.

Describe an agent in your own words and Madav builds it: its job, its model, the tools it may touch. Call one with @ in any session, or line several up so work flows from one to the next.

madav.ai/app · Agents
Your agents.
Specialists you set up once and hand work to, alone or as a team.
+ New agent
AgentsTeamsActivities
  • Describe, don't configure · "Read every new contract in Drive and list the renewal dates." Madav writes the agent, you review it.
  • Any model per agent · A flagship for the researcher, a small local model for the contract reader. Each agent keeps its own.
  • Only the tools it needs · Each agent gets its own connectors, read-only unless you allow changes.
  • @ in any session · Type @code-reviewer and hand over the work without leaving the chat.
  • Activities · Every run of every agent, with what it did, what it asked and what it cost.
Team · Launch week
@launch-week draft the announcement for Madav 2.0, with a deck and a reviewed blog post
Documents

Real files, not chat transcripts

Madav writes Word, Excel, PowerPoint and PDF files you can open, send and sign, and reads any document once into plain text so it costs a fraction to work with.

DOCX
Weekly brief · 9 NovDrive › Reports · 2 pages
XLSX
Revenue model 20274 sheets · formulas kept
PPTX
Q3 board deck14 slides · your template
PDF
MSA · Acme CorpRead once into 11k words of text
Skills, plugins & hooks

Teach it once. It remembers how.

Turn a way of working into a skill: your report format, your review checklist, your release steps. Add plugins and hooks to shape what every session does.

/weekly-reportYour format, every Monday /review-prYour checklist on every PR /brand-voiceWrites like your team /releaseChangelog, tag, announce /invoice-checkMatches POs to invoices /meeting-notesActions, owners, dates
Models

Premium or free.
Cloud or local.
One list.

The frontier models when the work is hard, open models when it isn't, and local models when nothing may leave the building. Switch per task, or let Madav choose.

  • Premium · Claude on your own Anthropic key or cloud account; GPT, Gemini, DeepSeek and more on Madav credits or your key.
  • Free and open · Qwen, Gemma, Llama, GPT-OSS, Mistral, DeepSeek-R1 and more, on your laptop or your own servers.
  • At cost · A flat base fee, then credits at the provider's own price, cache reads included. Spend limits per person and per team.
madav.ai/app · Models
Your models.
Every model Madav can send work to: your keys, Madav credits, and what runs on your machines.
OverviewLocal modelsRecommend meModel gymRouting

The whole catalog

Every model Madav knows, with where it runs and what it is good at.

Integrations

Connect it to everything.
Literally everything.

Madav speaks MCP, the open standard for AI tools. Add any of thousands of connectors, your company's own APIs, or a server you write in an afternoon. Each one is read-only until you allow changes.

MadavAny MCP server
Google Workspace

Lives where your
team already works.

Connect Gmail, Drive, Docs, Sheets, Slides, Calendar and Meet once. Madav reads what it needs, writes real files back to Drive, and asks before anything leaves your outbox.

  • Sheets → Docs → Gmail · "Every Monday, summarise last week's sales sheet into a Doc and draft the email to the team."
  • Drive as memory · Point a session at a Drive folder; contracts, decks and notes are read once into text.
  • Calendar and Meet · Prep notes before each meeting, action items after, filed where your team looks.
  • Admin-set for the whole org · Connectors set once by an admin, tokens kept in Madav's vault, never inside a session.
Example routine

Set it once.
Read it Monday.

Routines are agents on a schedule. They run in Madav's cloud or on your servers, on the model you pick, with exactly the connectors you allow.

madav.ai/app · Routines
Monday sales brief.
Every Monday at 08:00 · Gemini 3.5 Flash · runs in the cloud
On
StepsConnectorsRuns
Read "Sales 2026 · Weekly"
Google Sheets · read-only
1
Write the brief to Drive › Reports
Google Docs · allowed to create files
2
Draft the email to sales@
Gmail · draft only, you press send
3
Post the summary in #sales
Slack · allowed to post
4
Last run: Mon 08:02 · done1m 48swithin spend limit
Token efficiency

Up to 10x fewer
tokens per task.*

Most AI bills are paid for waste: the biggest model on easy steps, whole PDFs pasted again and again, the same context re-sent to five tools. Madav is built to not pay for any of it.

Tokens for one weekly report task · illustrative
Five separate AI tools100%
Madav≈10%
Flagship model on easy steps Documents re-read as pages Context re-sent between tools Uncached prompts Bloated history
The right model per step

Recommend me and Routing send easy steps to small, cheap models and keep the flagship for the hard part.

Documents read once

Word, PDF, slides and web pages are turned into clean text before any model sees them, not sent as pictures again and again.

Cached and counted

Repeated context is served from the provider's cache at a fraction of the price, and every token is metered so you see it.

Compaction built in

Long sessions are compacted, not truncated, so the context meter stays low without losing the thread.

Tools, not tokens

Mechanical work runs as deterministic tools, so the model reasons and the tools do the typing.

One context base

Your organisation's knowledge is loaded once for every session and every agent, never pasted by hand.

* Illustrative. Savings depend on the task and the models used; "up to 10x" compares Madav's routing, caching and document handling with running the same work through separate tools on one flagship model.

For business · Self-host

Your servers. Your models.
Our control plane.

Install Madav's signed package on your own servers or private cloud. Your code, documents and prompts never leave your network; only sign-in, billing and updates talk to Madav, and only outbound.

Your network · private AI server
OrchestratorSessions, routines, the org's context base
Node agentsRun sessions on each of your servers
GatewayYour keys and model endpoints, counted
Tools serviceConnectors and MCP, your vault
Web appServed on your own address
Postgres + storageBundled, or yours
Your modelsOllamavLLMAny OpenAI-compatibleYour API keys
Madav cloud
Sign-in & SSOYour identity provider, roles, invites
Billing & licencesSeats, credits, spend limits
ManagementUpdates, health, which servers are online

Data stays home

Code, files and prompts live on your servers and your storage. Nothing is trained on your data.

SSO and roles

Sign in with your company's identity provider. Admins set who can use which models, connectors and spend.

Audit trail

Every session, approval and tool call recorded in a write-once archive your security team can read.

Air-gapped models

Run open models on your own GPUs through Ollama or vLLM. Add premium models on your own keys only if you want them.

One context base for the org

Your rules, glossaries, allowed models and connectors loaded into every session on every server, kept in one place.

Why one app

Why teams choose
Madav over a stack of tools

Madav
Separate AI tools
Every premium and open model in one list
✓ 74 models
One vendor each
Chat, code, documents, agents, routines
✓ One workspace
Four or five apps
Google Workspace and any MCP connector
✓ Built in
Per tool, if at all
Asks before edits, sends and spending
✓ Always
Varies
Local and self-hosted models
✓ Laptop or your servers
Rarely
Token use per task
✓ Up to 10x lower*
Flagship for everything
Run on your own servers
✓ Self-host package
Cloud only
One base fee, models at cost
✓ Credits at cost or your keys
Many subscriptions
Everywhere you are

Start on the web.
Finish on your phone.

Web

The full workspace in your browser. Cloud sessions keep running after you close the tab.

Desktop

macOS, Windows and Linux: local models, your folders, a real terminal.

Your servers

The same app on your own address, for everyone in your company.

Madav · desktop
Madav desktop app

Madav Remote

Approve, steer and follow every session from your phone.

Sessions

Monday sales briefDone · 1m 48s
Add a --version flagDone · tests pass
Send "Weekly brief" to sales@?
Gmail · drafted by Madav
DenyAllow once
Pricing

One base fee. Every model at cost.

A flat base fee per user for the workspace, then credits for model use at exactly what the provider charges. No markup on tokens.

Personal
Base fee + credits at cost

For one person: the full Madav, on the web and on your desktop. Early-bird pricing.

  • The full workspace: chat, documents, agents, routines
  • The desktop app: file system, terminal, tray routines
  • Local, fully private models on your own hardware
  • Time Machine for your real project folders
  • Phone control and cloud sessions
  • Premium models on credits at cost, or your own keys
Get early access
Teams
Base fee per user + credits at cost

Everything in Personal for each user, with one shared bill and one shared context.

  • Everything in Personal, for every user
  • One bill, shared credits at cost
  • Spend limits per person and per team
  • Shared agents, skills, connectors and routines
  • Roles and an admin console
Get started →
Enterprise · Self-host
Let's talk

Madav on your own servers, with your models and your identity provider.

  • Private AI server, data never leaves
  • SSO, roles and audit archive
  • Org-wide context base and connectors
  • Onboarding and support
Contact sales
Madav's robot reading a book
Madav University

A creator's blog, shared forward.

The honest path from a first repository to a product shaped by hundreds of experiments, and every AI idea behind it in plain English. 66 free lessons on AI and Git.

Start reading →
Answers

Questions, answered.

How does pricing work?

Each user pays a flat base fee, which covers the workspace, agents, connectors and the web, desktop and phone apps. Model use is paid with credits at exactly the provider's price, input, output and cache included, with no markup. Local models on your own hardware use no credits, and your own keys bill you directly. Self-hosted Enterprise is priced with you.

Do I need an API key to start?

No. Starter models work the moment you sign in. Add your own keys whenever you like; they are kept sealed and never shown again.

Which models can I use?

74 models from 17 makers: Claude, GPT, Gemini, DeepSeek and other premium models, plus open models such as Qwen, Gemma, Llama, GPT-OSS and Mistral that run on your laptop or your servers. Claude runs on your own Anthropic key or cloud account.

How does Madav use up to 10x fewer tokens?

It sends each step to a model that fits it, reads documents once into text, reuses cached context, compacts long sessions and lets deterministic tools do mechanical work. The saving depends on the task.

Does it work with Google Workspace?

Yes. Connect Gmail, Drive, Docs, Sheets, Slides, Calendar and Meet as connectors. Each is read-only until you allow changes, and anything that sends or shares waits for your yes.

Can we run it on our own servers?

Yes. The self-host package runs sessions, connectors, the gateway and the web app inside your network, with your models. Only sign-in, billing and management talk to Madav's cloud, outbound only.

Is it safe to let it edit files or send email?

Every change is shown before it happens and logged after. Risky actions ask first, you choose the autonomy level, and spending on paid models never happens without approval.

What runs under the hood?

Claude runs through Claude Code on your own key. Every other model runs through OpenCode on Madav credits or your key. Madav adds the workspace, the tools, the metering and the keys around them.

Your work,
proven.

Every model, every tool, one workspace. On our cloud or your own servers.

Base fee + credits at cost · Your files stay yours