Run AI agents on your browser.
Build pipeline that converts.
One desktop app. Parallel AI agents with access to your own browser, LinkedIn, your CRM, and any tool you're logged into. Powered by Claude Code, OpenAI Codex, or GitHub Copilot.
Free. Uses your existing Claude or Codex subscription.
macOS 13+ · Apple Silicon & Intel · No account required
Built for GTM Engineering
The desktop runtime that gives your AI agents the one thing hosted tools can't: your own browser, your own sessions, your own data.
Parallel agents, one workspace
Spin up 10 AI agents researching 10 ICPs at once. Each with its own browser, memory, and instructions. Come back to 10 finished CSVs ready to push to Clay or your CRM.
Your own browser
AI agents log into LinkedIn, Sales Navigator, your CRM, and any SaaS tool you have a seat on. They use your own browser, your own cookies, your own IP. No datacenter blocks, no rate limits, no API tax.
Memory per agent
Each AI agent learns the sources it should trust, the formats you want, and the patterns that worked last time. The agent you have been using for 3 months is dramatically better than a fresh one.
Skill Generation
Turn any working agent run into a reusable skill. Describe the workflow in plain English, attach the docs and tools, and Drevon packages it as a one-click skill your agents can run forever.
Skill Marketplace
Install production-grade GTM skill packs from ColdIQ, Extruct, GTM Flywheel, and the open community. Outbound playbooks, scoring rubrics, and research pipelines, ready to drop in.
Local-first, your machine
Your prospect lists, customer notes, and CRM exports never leave your machine. No cloud copies. No third-party storage. No compliance friction.
Every run is traceable
Full session history, output files saved to your filesystem. Every agent action is logged and replayable. When something works, ship it as a skill.
One GTM engineer.
Nine stages. Zero hosted tools.
ICP, signals, prospecting, enrichment, scoring, personalization, sending, routing, measurement. The whole funnel runs in one app, on your machine, with your own browser. Scroll to see how each stage stacks up.
ICP definition & market sizing
A static one-pager that never gets revalidated against real CRM data.
An ICP agent reads your closed-won deals and live signals to output a quantified, living ICP.
Quarterly off-sites become monthly agent runs.
Signal detection
Five subscriptions stitched together. LinkedIn signals stay out of reach.
A signal agent monitors LinkedIn and Crunchbase from your machine and pings Slack on every trigger.
Reply rates jump from 0.8% to 8–12% on signal-triggered plays.
Prospecting & list building
Apollo misses your niche, Sales Nav exports get blocked, hand-built lists take days.
A list agent runs Sales Nav, dedupes against your CRM, and ships a clean CSV. Run 10 in parallel.
Three days of list-building becomes 30 minutes of agent supervision.
Enrichment
Clay credits at $446/mo. Anything behind a login stays unreachable.
A waterfall agent enriches from public web, LinkedIn, Crunchbase Pro, and niche portals. No per-row pricing.
Deeper data than Clay can reach. No credit walls.
Scoring & prioritization
Static rules are brittle. ML scores are opaque. Reps cherry-pick on gut.
A scoring agent learns from closed-won and closed-lost data and explains every score in one line.
Reps work the right accounts first. The bottom 60% stops eating their week.
Personalization
Every cold email opens "saw your Series B, congrats!" Recipients spot the AI in two seconds.
A personalization agent reads 30 LinkedIn posts, podcasts and Substacks, and writes one specific line.
Reply rates climb instead of decay. The "is this AI?" question goes away.
Outreach delivery
Consolidating sending into one tool tanks deliverability. Warmup is a specialty.
One agent action hands the list to Smartlead, Instantly, or HeyReach. Best-in-class sender stays.
Best-in-class research and best-in-class delivery. One-line handoff.
Reply routing & meeting handoff
Replies land in the AE’s inbox with no context. Warm leads cool off.
A routing agent classifies the reply, attaches the brief, and DMs the AE a one-page handoff with a draft.
Time-to-first-reply drops from 4 hours to 4 minutes. Conversion climbs 30–50%.
Measurement & iteration
Dashboards lag a week. Half the data never syncs to the CRM cleanly.
A measurement agent runs nightly and ships a Monday report: what worked, what didn’t, what to try next.
Feedback loops shrink from a quarter to a week. The system gets smarter every cycle.
Five roles.
One GTM engineer.
The leverage isn't 2x. It's 10x. And it doesn't come from working faster. It comes from working at a different level of abstraction.
See Drevon run a real GTM workflow
| Founder | Company | Role | Funding | Stage | ||
|---|---|---|---|---|---|---|
| Sarah Chen | Acme AI | CEO | sarah@acme-ai.com | linkedin.com/in/sarahchen-ai | $12M | Seed |
| James Liu | NeuralPath | CEO & CTO | james@neuralpath.io | linkedin.com/in/jamesliu | $8M | Seed |
| Maria Garcia | DataForge | Founder | maria@dataforge.ai | linkedin.com/in/mariagarcia | $5M | Pre-seed |
| Alex Park | CloudMind | Co-founder | alex@cloudmind.dev | linkedin.com/in/alexpark-ml | $15M | Series A |
| Priya Sharma | SynthLabs | CEO | priya@synthlabs.co | linkedin.com/in/priyasharma | $3M | Pre-seed |
| Tom Wilson | VectorStack | Founder | tom@vectorstack.ai | linkedin.com/in/twilson | $7M | Seed |
| Yuki Tanaka | PixelMind | CEO | yuki@pixelmind.co | linkedin.com/in/yukitanaka | $4M | Pre-seed |
| Raj Patel | AgentFlow | Co-founder | raj@agentflow.dev | linkedin.com/in/rajpatel | $20M | Series A |
| Emma Davis | Cortex AI | Founder | emma@cortex-ai.io | linkedin.com/in/emmadavis | $6M | Seed |
| Chen Wei | DeepGraph | CEO & CTO | chen@deepgraph.ai | linkedin.com/in/chenwei | $10M | Seed |
Why GTM engineers choose Drevon
Run as many agents as your machine can handle. No credit walls, no per-row pricing.
Uses your existing Claude, Codex, or Copilot plan. No new contract to sign.
Download, point an agent at LinkedIn, get a CSV. No setup wizard, no onboarding call.
How Drevon works
Describe your GTM task
Type your goal in plain language: “Build me a target list of 200 fintech CFOs.” Or: “Score these 50 accounts against our ICP.”
Agents run in parallel
Each AI agent logs into your tools, browses with your sessions, and digs through real data. Run 10 at once. Walk away.
Get structured outputs
CSVs, JSON, and Markdown briefs saved to your filesystem. Push to Clay, Smartlead, HubSpot, or your CRM. Ship the campaign.
What GTM engineers build with Drevon
Your own browser. Parallel agents. Structured outputs. The workflows hosted tools can't reach.
Build target account lists
Pull from LinkedIn Sales Navigator saved searches, dedupe against your CRM, enrich with funding signals and tech stack data, score each row by ICP fit. No Clay credits. No Apify scripts.
Deep account research
Pick 50 companies. Get back: positioning, recent press, hiring signals, leadership changes, customer logos, last 90 days of LinkedIn activity from key buyers. In hours, not days.
Prospect intelligence for outbound
For every contact in your sequence, scrape their last 30 days of posts, podcasts, and public commentary. Generate personalization briefs your reps will actually use.
Pre-call research briefs
Synthesize CRM history, LinkedIn activity, recent company news, and past meeting transcripts into a one-page brief. One brief per call. Auto-delivered before each meeting.
Competitor and category monitoring
Daily sweeps across competitor sites, careers pages, customer logos, pricing pages, LinkedIn employee changes. Diffs land in Slack or your inbox automatically.
Custom GTM workflows
Anything you would otherwise build by stitching Clay, Apify, n8n, and Phantombuster together, but in one app, with your own browser and parallel agents. No cron jobs. No credit limits.
Built local. No cloud required.
No cloud VMs, no remote browsers. Drevon runs agents as local processes using your existing CLI tools and your own browser sessions.
Works with your stack
Drevon runs on top of the AI agents you already use, and feeds the GTM tools you already own.
Skills your agents can run
Compatible with your GTM stack
What Drevon users are saying
“Have been trying to shift almost all my existing automations to Drevon only. Currently running an agent to check and report critical issues in all the articles that we have posted so far after Google's AI rankings policy update, and it's working like a charm.
Love the UI and the setup. Will be using it next for some of my browser automations for my influencer writer database.”
“Committing to outcomes as an agency traditionally requires significant human effort and large teams.
With Drevon at TGM, we've changed that equation. Today, a single operator can handle end-to-end execution for a client and deliver results that previously required a team of five without compromising on quality or speed.”
“Love the fact that I can do agentic tasks through Drevon only using my Pro subscription of GPT.
The GTM research tool is really good. I have recommended it to other friends as well.”
Frequently asked questions
Drevon is a macOS desktop app that runs parallel AI agents (powered by Claude Code, OpenAI Codex, or GitHub Copilot) directly in your own browser. It is built for GTM engineers who want to automate lead research, account enrichment, LinkedIn intelligence, and outbound workflows without adding new subscriptions or sending data to the cloud.
Stop hand-building your GTM stack.
Download Drevon for macOS. Free. Uses your existing Claude or Codex plan.
macOS 13+ · Apple Silicon & Intel · No account required