You have a process that runs on web data. We make it run itself.

We engineer automated systems that pull data from websites, APIs, and platforms, then act on it: alert your team, draft a response, adjust a price, submit a form. With the right guardrails so the system doesn’t get you banned or send something you’d regret.

We respond in 12 hours on average

Trusted by 300 public and private organizations.

Accor
Bridgestone
Corsica Ferries
Veolia
MAIF
L'Oréal
Ville de Paris
La Poste
Nocibé

Stratalis data automation

15 years
building systems on unstable web data
3–6 weeks
kickoff to production system
0
client accounts banned to date

What We Automate

Problem solved

Your team reads incoming data (reviews, leads, mentions), decides what to do, and acts manually every time. The process is clear. The execution is slow.

Advantages

AI drafts the action. A human approves with one click. The system executes.

In practice

We build systems where incoming data triggers an AI-generated response or action, routed to a human for approval via chat, email, or a simple dashboard. Approve, edit, or reject. The system handles the rest: submitting the response, updating the record, logging the outcome.

Problem solved

The data you need lives across 5 or 10 sources, some with APIs, some without. Combining them manually takes hours.

Advantages

One pipeline that collects, merges, and triggers downstream actions automatically.

In practice

We connect scraped websites, API feeds, email inboxes, and internal systems into a single automated pipeline. The output isn’t a spreadsheet. It’s an action: an alert, a price change, a form submission, a CRM update. Every source normalized, every action logged.

Problem solved

Some decisions in your process need judgment, not just rules. But full AI autonomy is too risky for your use case.

Advantages

AI handles the gray areas. Deterministic code handles everything else.

In practice

We engineer the boundary between AI and code for each step of your process. Sentiment classification, response drafting, lead scoring, anomaly detection: AI handles what rules can’t. Price calculations, form submissions, data formatting: code handles what AI shouldn’t. The result is a system that’s smart where it needs to be and predictable where it must be.

Problem solved

You’ve seen what happens when automation runs without limits. Banned accounts, bad responses, runaway actions.

Advantages

Rate limits, approval gates, and fallback logic designed into every system.

In practice

Every system we build includes guardrails calibrated to the platform and the stakes. Rate limiting to stay under detection thresholds. Approval gates for high-risk actions. Fallback routing when AI confidence is low. Circuit breakers when something looks wrong. The system protects your accounts and your reputation.

Problem solved

The websites and APIs your process depends on change without warning. Layouts shift, endpoints break, anti-bot systems evolve.

Advantages

We maintain the system against source changes. That’s part of the service.

In practice

We’ve been maintaining scrapers and web automations against hostile changes for 15 years. When a source changes, we adapt. When an anti-bot system upgrades, we adjust. Your system keeps running. You get an alert, not a broken process.

How We Deliver

Fully Managed System

We build, host, and operate the entire automation. You consume the results and approve actions.

Self-Hosted Deployment

We build on your infrastructure. Your security perimeter, your data residency, your rules.

Chat & Email Integration

Approval flows delivered where your team already works: Slack, WhatsApp, Teams, email.

Dashboard & Reporting

A web interface showing system activity, pending approvals, and outcome history.

API Layer

A documented REST API so your existing systems can trigger and consume automation results.

Webhook & Event Integration

Push events to your systems in real time. CRM updates, ERP entries, Slack notifications.

Why Stratalis for data automation

We engineer the AI boundary

Anyone can wire up an LLM. The hard part is deciding what should be AI and what shouldn’t. We’ve built enough of these systems to know where AI adds value (drafting responses, classifying intent, scoring relevance) and where it creates risk (submitting forms, setting prices, contacting people). We get that boundary right.

Scraping-native engineers

Most automation agencies treat web data as an input they can assume works. We started as a scraping company. Our engineers understand anti-bot systems, rate limiting, and platform fragility at a level that no-code tools and generalist developers don’t. That experience shapes every automation we build.

Not getting banned is a process

It starts with a conversation about what’s allowed, what’s risky, and what the platform actually enforces. We’ve been automating interactions with websites for 15 years. We know how platforms detect automated behavior and how to stay under the threshold. No client account has been banned to date. That’s not luck. It’s engineering discipline applied from day one.

Human-in-the-loop, designed right

Not every action should be fully automatic. We design approval flows that match your risk tolerance: one-click approve/reject over chat or email, edit-before-send for high-stakes responses, full autonomy for low-risk actions with logging and alerts. The human stays in control without becoming a bottleneck.

Fixed-price, maintained systems

We quote a fixed price for the build. Ongoing maintenance (source changes, anti-bot updates, platform adaptations) is a predictable monthly fee. No hourly billing, no surprise invoices when a website changes its layout.

You can describe the process? We can automate it.

Tell us what your team does manually today. We’ll tell you what the automated version looks like and what it costs.

Get a Quote

Our Tech Stack

Automation & Orchestration

Pipeline orchestration, scheduling, and human-in-the-loop flows

Python Airflow NiFi FastAPI

AI & Language Models

AI processing for classification, generation, and scoring

OpenAI Claude spaCy

Web Scraping & Browser Automation

Data collection and web interaction from any source

Espion Playwright Proxy Networks

FAQ

Zapier and n8n are connector tools. They work well when every system has an API and the logic is simple. We build for the cases they can’t handle: scraping data from websites without APIs, managing anti-bot defenses, calibrating AI output quality, maintaining systems when sources change, and designing guardrails that prevent your automation from causing damage.

If your workflow fits in Zapier, use Zapier. Call us when it doesn’t.

We detect the change and update the system. That’s included in the maintenance fee. You get an alert when we intervene, but in most cases the fix is deployed before the next scheduled run.

It starts before we write any code. We review what each platform allows, where the enforcement boundaries are, and what interaction patterns look realistic. Then we engineer rate limiting, session management, and proxy rotation to stay well under detection thresholds. No client account has been banned to date. That record comes from treating platform risk as a design constraint, not an afterthought.

Yes. Not every automation needs AI. If your process follows clear rules, we build it with deterministic code. AI enters only when the process requires judgment: classifying unstructured text, generating human-sounding responses, or scoring relevance. We’ll tell you which parts need AI and which don’t.

Fixed price for the build, based on the number of sources, the complexity of the logic, and the number of action types. Ongoing maintenance is a predictable monthly fee. No hourly billing.

3 to 6 weeks from kickoff to production system, depending on the number of sources and the complexity of the approval flow. We start with a proof of concept on the most critical path.

Tell us about the process you want to stop doing manually

Describe your workflow. We’ll scope the automation and quote a fixed price within 48 hours.

  • Free, no-obligation quote
  • Response within 24 hours
  • We never share your data

Next: tell us about your project (2 min). We'll reply with a proposal, and a quick call to clarify if needed.