Reliable software · AI automation · Data engineering

Software engineered for reliability, automation, and scale.

AyzalSoft builds software that automates business processes, connects critical systems, and transforms complex technical challenges into scalable solutions.

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Trusted by startups, agencies and growing businesses across the US, UK & Europe

Track record
170+
projects delivered
100+
business workflows automated
16
automation tools published
7+
years building production software
Upwork Top Rated · 100% Job Success Fiverr Level 2 Seller · 4.9★ from 92 reviews Apify 16 Actors · 393+ users
Capabilities

Four things built
to run in production

All services & pricing →
01

Web scraping & data extraction

Resilient crawlers that handle pagination limits, rate limiting, anti-bot defences and schema drift.

From $600
02

Data pipelines & ETL

Scheduled syncs into PostgreSQL, Supabase, MySQL, Sheets or your CRM — idempotent, safe to re-run.

From $1,500
03

Custom web applications

Full-stack builds from data model to deployment — Next.js, Node, PostgreSQL, on your own VPS.

From $3,000
04

AI integration

Claude, GPT and Gemini wired into real workflows — analysis, classification and enrichment on your data.

From $1,200
Selected work

Shipped, running,
paid for

Read the full case studies →
SaaS platform · Next.js · AI

Optolix

AI-powered profile intelligence platform combining social-media scraping, authentication and LLM analysis with Claude, GPT and Gemini.

optolix.com ↗ E-commerce · Crawlee · GraphQL

Retail catalogue sync

Automated daily sync of thousands of Shopify products, variants, inventory, pricing and media against a live retailer catalogue.

Read the case ↗ Published product · Playwright

Google Ads Transparency

Commercial scraper screening 100,000+ advertiser domains. 393+ users and 2.3K+ executions on the Apify Store.

apify.com ↗ Published product · Python

Ofsted Reports Data Scraper

Daily synchronisation of UK Ofsted inspection reports into a searchable client database — eighteen structured fields parsed straight out of the source PDFs.

Read the case ↗ Reporting automation · Python

Data centre demand report

Two Excel workbooks and 31 sheets rendered into a branded 14-page PDF of charts and ranked tables. A full day of manual work became a single run.

Read the case ↗ Automation · ETL

US Dept. of Labor job feed

Federal job-order PDFs parsed daily into a recruitment client's Monday.com CRM through an automated ETL workflow.

Read the case ↗
How it works

No discovery
theatre

You describe what needs building. I come back with a fixed scope, a price and a delivery date — usually within a day. Then I build it, document it, and hand it over running.

  1. 01

    Scope

    A written spec: scope, interfaces, data, schedule and the edge cases.

  2. 02

    Build

    Working increments you can run yourself, not a black box at the end.

  3. 03

    Hand over

    Deployed, scheduled and documented — plus a retainer if you want me on call.

Have something
that needs building?

Tell me what it has to do, and where it has to run.

Discuss your project