A sentence, not a setup.
Say it once. It runs every time.
Describe the recurring work in one line. Azava gives Claude everything it needs to build the whole automation, then run it for you. No canvas, no nodes, no field-mapping.
Whenever an intro email lands, pull the company and the people into my CRM.
That's the whole setup. Below, watch it become a running automation.
Azava is no longer accepting new sign-ups.
Your pipeline
Your agent builds each one once. Azava runs it every time, and checks in with you only where it counts.
Why not just…?
Three obvious options. Each has a catch.
For a one-off, of course you just ask Claude. But the work you repeat every day is a different problem, and every obvious way to handle it makes you trade something away.
Re-ask it every time
Ask Claude live each time and it re-reasons the whole task, so the results drift. It only moves when you trigger it, and you're left fixing what it gets wrong.
Save it as a skill
Feels reusable, but a skill is still Claude reasoning live, every run. Same drift, same waiting for you. You've written the instructions down, not the result.
Fully automate it
Set rules and walk away, and your hands never touch the data again. You lose the feel for your own pipeline, and bad data slips into your systems unnoticed.
Azava is different in kind. Your Claude builds the work once and owns it, so it runs the same way every time, with no re-thinking and no drift.
And you're not cut out. You place yourself in the flow where it matters, and Azava runs the rest. Your hands stay on the data, so your pipeline stays familiar. Consistent and correct, with you where it counts.
How it works
Built once. Run every time.
Your Claude builds the automation once. After that, Azava runs it on its own, the same way, every time.
Built once
by your ClaudeAdd Azava to Claude
Connect it to the agent you already use, once. From then on it works on your behalf.
Describe the recurring work
Tell it in plain language what you keep doing. Claude builds it, and shows you what it built.
Connect the tools it needs
A one-time link to each: your CRM, inbox, files. About three clicks, and you approve it live.
Run every time
by AzavaAn event arrives
An intro email lands, or a record changes. If it matches your automation, it runs.
Your automation takes over
From here it runs the same way every time, reaching for the model where a step needs judgment:
extractPull the facts
LLMs read the messy input and hand back clean, structured values.
targeted AIaskYour checkpoint
A step you placed. The run stops here so your hands stay on the data as it flows.
your callconnectYour tools
It reads and writes to your systems, with all the hard stuff solved.
active
Why Azava
Built by Claude. Run by Azava.
Bring your own Claude
You already pay for Claude. Use it to build. No black-box model you can't see into. It's yours.
Across your real systems
Your CRM, inbox, files, spreadsheets: Azava works over the tools you already use.
Built-in checkpoints
It asks before it commits anything irreversible, so you stay in control of the writes.
Personal and team
Start solo in minutes; bring your workspace along when you're ready. Same product.
Use cases
VC dealflow: author once, run on every intro
Claude builds the automation
You describe how you handle intros: extract the company and people, attach the deck, dedupe against what's there. Claude builds that logic once as an automation.
It runs on every intro
Each email lands, the automation fires, and your CRM gets the right records: company, contacts, round, deck attached. You didn't do it; you didn't re-ask your agent.
You verify, not transcribe
Before anything's written, it checks in with the prepared suggestion. You approve or edit. You're not doing the work; you're making the call.
Dealflow is the worked example. The same author-once pattern fits candidate pipelines, partner onboarding, and any cross-system knowledge work you keep doing the same way.
Integrations
Works with your stack out of the box
Azava is pluggable, so anyone can write a remote adapter to connect a new system. Get in touch if you'd like to build one.
Trust & data
Built to be trusted with your stack
Runs as you
Azava only has the access you give it.
EU data residency
Anything Azava stores is held on our servers in Frankfurt.
No-training AI
The AI runs under terms that forbid training on your data.
Encrypted credentials
Connections to your systems are encrypted at rest.
Some subprocessors, such as Anthropic and Sentry, process data in the US. Each is GDPR-compliant under a signed DPA.
For the full list, and exactly where your data sits, see our Privacy Policy, Terms of Use, Data Processing Agreement and sub-processors.
Pricing
Azava is no longer accepting new sign-ups.
The product is now open source. You can run it yourself: listen-fire on GitHub.
Azava is no longer accepting new sign-ups.
The product is now open source. You can run it yourself: listen-fire on GitHub.