The product leader’s AI
Autonomous product management.
Elk’s agents run your product loop. They find what to improve and your coding agents build it. Testing and rollout are being built. You set the goals.
Your product loop runs
at reading speed.
Agents write code in minutes. Deciding what to build still takes weeks of dashboards and tickets and meetings.
Elk runs the loop and brings you the decisions.
Business goal40% of new teams reach a first shared task.
Customer signalNew teams stall at the invitation step.
MarketTwo competitors now offer guest access.
Illustrative exampleElk proposes one fix from the sources you connect.
The product loop
Agents run the loop. Two calls are yours.
You set the goals. Agents do the work and stop where a decision is yours.
Your goalsYour callYour callBeing built01/06
Every source you have.
- Agents
- Read product usage, errors, deploys and pull requests as they change, and what your agents report. Your goals too.
- You
- Connect a source once.
- In Elk
Humans in the loop
Agents earn
their autonomy.
Each step will start by asking you, and get more freedom as its work holds up in review.
Observe
Agents watch and report.
Suggest
Agents propose. You decide.
Act
Rollouts run on their own once you allow it, and you hear after.
Autonomy settings arrive with testing and rollout. Every decision reaches you with its evidence.
What reaches you
What is going on?
Elk keeps your team and its agents working from the same facts. You get four lines. Your agent gets the detail it needs to act.
Backstory
How did we
get here?
Name a feature. Elk traces the decisions and the work behind it and cites every step.
Start in Ask Elk. The research keeps running after you close the chat.
Anything Elk could not verify is marked unknown.Elk on Mac and iPhone. People and figures are sample data.
The promise
Read nothing.
- Observe automatically.
- Distill continuously.
- Preserve human judgment.
- Guide execution.
Keeping up is not your job. The agent keeps watch. You keep judgment.
Read the manifestoConnect what
you already use.
Elk reads your tools where they are. If a source is missing an agent builds the connector. Anything your agents can reach is a source too.
Collaboration
Slack
GitHub
Claude Code- Codex
- Grok
- Jira
Systems
- Sentry
- AWS CloudWatch
- Cloudflare
- Supabase
- Datadog
- Vercel
Customer
- PostHog
- Google Analytics
- Stripe
- Amplitude
- Mixpanel
- Zendesk
Look up.
Your market, business and product in one view.
Step in where your judgment changes the result.
Team
Who is building Elk.
Casey Clark
CEO
Casey Clark is Elk’s CEO. He was Chief Customer Officer at Scalyr, the data engine SentinelOne bought in 2021 that now runs under its AI SIEM. A SIEM runs one big loop for a company: gather every signal, distill it, and act. Casey made that loop work for enterprise customers. Elk runs it for product work.
Issac Roth
CPO
Issac Roth is Elk’s CPO and leads product. He co-founded the startups behind Red Hat OpenShift, IBM API Connect and the data-leak detection in F5’s AI Gateway. Most recently he was CEO of Orama, an AI data platform. Each was a platform others built on, and Elk’s architecture grows from that work.
Nathanael Wolfe
CDO
Nathanael Wolfe is Elk’s CDO and leads design. He led product design at Augmedix, where AI drafts medical notes and trained people check them. He is a named inventor on its note-writing patents. At Elk he designs how human judgment is gathered and distilled into context agents can use.
Talk to us.
You set the goals. Agents do the work and stop where a decision is yours.
Have a question or just want a place on the waitlist?