AI models are getting smarter. We make them do things.
AI capability is advancing faster than anyone predicted. But raw intelligence without execution is just a chatbot. Autonoly is the platform that turns AI reasoning into real-world action โ browsing websites, extracting data, running scripts, calling APIs, and building workflows that run on autopilot.
As models improve, every task Autonoly handles gets faster and more reliable โ not because we retrain anything, but because our platform learns from every session. Successful patterns, navigation flows, and proven workflows compound over time. The AI gets smarter. The platform gets wiser.
100+
Automation Nodes
60+
Integrations
30+
Node Types
17
Languages Supported
The gap between thinking and doing
AI capability is advancing every quarter โ reasoning, planning, code generation. But intelligence alone doesn't automate anything. It doesn't open a browser, navigate a site, handle a CAPTCHA, or retry when a page times out.
The execution layer is what sits between a model's reasoning and real-world results: real browsers, real error handling, real operational knowledge built up over thousands of sessions.
Foundation models will never ship with operational knowledge specific to your sites, your workflows, or your infrastructure. That's the layer we build.
How It Works
Three steps to full automation
No code. No config files. Just describe what you want in plain English and your AI agent builds, runs, and schedules it.
Step 01
Describe your task
Type what you want in plain English. No code, no config files, no learning curve.
Step 02
Agent executes live
Watch your AI agent open a real browser, navigate pages, extract data, and run code โ all in real time.
Step 03
Get a reusable workflow
One click converts your session into a scheduled automation you can edit, share, or run on repeat.
Capabilities
Automate any digital task
From scraping a single page to running a full data pipeline โ if you can describe it, Autonoly can do it.
Web Scraping
Extract data from any website โ even behind logins, infinite scroll, or CAPTCHAs.
Reports & Dashboards
Generate Excel workbooks with charts, PDF reports with analysis, all on schedule.
Python & Code
Run Python scripts, ML pipelines, data processing โ full SSH environments on demand.
Email & Alerts
Send Gmail digests, Slack notifications, Discord alerts based on triggers and schedules.
Multi-Step Workflows
Chain scraping, analysis, and delivery into one automated flow that runs 24/7.
API Integrations
Connect Google Sheets, Slack, Gmail, Discord, Airtable, Notion, and more natively.
A platform that gets better with every session
AI models will keep improving. But model intelligence alone doesn't know which interaction pattern works on LinkedIn, or that a site throws a CAPTCHA after the third page. Autonoly accumulates operational knowledge that no foundation model ships with.
Learns Every Website You Touch
Every successful interaction teaches the platform what works. Navigation paths, page structures, and interaction patterns are indexed per domain and injected into future sessions. The more your team automates on a site, the faster and more reliable it becomes.
Adapts per domain automatically
Remembers Proven Workflows
When an agent successfully completes a task, the full step sequence is distilled into a reusable playbook. Next time anyone on your team asks for a similar task, the agent doesn't explore from scratch โ it follows the proven path, updated automatically when better approaches emerge.
Proven step sequences retained
Anticipates Obstacles Before They Hit
CAPTCHAs, login walls, bot detection, rate limits, geo-blocks โ the platform remembers every obstacle it encounters. When a pattern is confirmed across sessions, future agents are warned before they hit the same wall. Your team's institutional knowledge accumulates automatically.
CAPTCHAs, bot detection, rate limits cataloged
One Conversation Creates a Permanent Automation
Every completed agent session converts into a visual workflow with proper nodes, edges, and data flow. These aren't throwaway scripts โ they're editable, schedulable, production-grade automations. Your library grows with every session.
Permanent schedulable automations
Infrastructure That Learns From Errors
For teams running SSH commands, Python scripts, and remote operations, the platform tracks error patterns and successful workarounds. Package conflicts, permission issues, timeout patterns โ all cataloged so future sessions avoid known pitfalls.
Error patterns and workarounds indexed
Integrations Surface When You Need Them
Connected services โ Google Sheets, Slack, Gmail, Airtable, Notion, Discord, and more โ are automatically surfaced when relevant. The platform understands your setup and recommends the right output destinations without per-task configuration.
60+ integrations auto-surfaced
Why we're building the execution layer
AI models are advancing at an unprecedented pace. We believe the companies that win aren't the ones building the models โ they're the ones building the systems that deploy them against real work.
01
AI capability will commoditize. Execution won't.
Foundation models are getting better every quarter. Within a few years, reasoning and language understanding will be table stakes. The bottleneck shifts from "can the AI think?" to "can the AI reliably do things in the real world?" That's where we operate โ the orchestration layer between intelligence and action.
02
Agents need institutional memory, not just intelligence.
A frontier model doesn't know that LinkedIn throttles after 50 profile views, or that a government portal requires a specific browser user-agent. Autonoly accumulates this operational knowledge across every session, every team member, every site. This compounding data layer is something no model provider ships and no competitor can shortcut.
03
The human-in-the-loop model is the right trust architecture.
Full autonomy is a research problem. Useful autonomy is a product problem. Our agents explore and execute autonomously, but humans approve the workflow, can take over the browser mid-session, and review every action log. As AI capability increases, we widen the autonomy gradually โ without rebuilding the product.
04
Every conversation should create a permanent asset.
Most AI tools produce an answer and forget. Autonoly converts every successful agent session into a visual workflow with proper nodes, data flow, and scheduling. One conversation with the AI creates an automation you can run forever. Your library of proven workflows is the real product โ the agent is how you build it.
05
Model-agnostic by design.
We separate the reasoning engine from the execution engine. When a better model drops โ and it will โ we plug it in. Our agent loop, browser tools, operational memory, and workflow execution engine are all independent of any single model provider. The platform gets every improvement for free.
06
The best automation is the one you didn't have to build.
Traditional tools like Zapier, Make, and n8n require you to know every step upfront. You need to understand the API, configure the modules, handle the edge cases. With Autonoly, you describe the outcome in plain English, and the AI figures out the navigation, the selectors, the pagination, the error recovery. Then it hands you the workflow.
Ready to stop building automations manually?
Built for teams that ship fast
From solo founders automating data collection to enterprise teams replacing entire internal tools โ here's how teams use Autonoly.
Data & Research
Automated data collection at scale
Research teams use Autonoly to scrape job boards, real estate listings, financial filings, product catalogs, and competitor pricing โ then pipe results into Excel, Google Sheets, or databases. The AI handles pagination, dynamic content, and anti-bot measures that break traditional scrapers.
Scrape 500+ LinkedIn job listings daily
Monitor competitor pricing across 20 sites
Extract SEC filings into structured Excel reports
Aggregate Glassdoor salary data by role and city
Operations
Eliminate repetitive manual workflows
Operations teams automate form submissions, invoice processing, CRM updates, and cross-platform data syncing. One workflow replaces hours of copy-paste between tools. Schedule it to run daily and forget about it.
Sync CRM leads to Google Sheets every morning
Auto-fill government compliance forms weekly
Route support tickets to Slack channels by category
Generate weekly PDF reports from dashboard data
Engineering
Automate testing, monitoring, and pipelines
Engineering teams run automated smoke tests, monitor uptime across services, execute deployment scripts via SSH, and build data transformation pipelines. Combine browser actions with terminal commands, API calls, and database queries in a single workflow.
Run E2E smoke tests on staging after every deploy
Monitor SaaS dashboards and alert on anomalies
Execute Python ML pipelines on remote servers
Scrape API docs and generate SDK wrappers
Free to start. No credit card required.
Stop building automations
Describe it. Watch it happen. Schedule it forever.
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