Working with businesses in the USA and internationally
Software · Data · Automation · Growth
Ormoos helps businesses build high-performance web applications, automate complex workflows, collect structured web data and grow their online presence through technology, SEO and digital marketing.
What we do
Web applications, SaaS platforms, portals and APIs in Laravel, Python and modern JavaScript.
Explore →Custom crawlers and ETL pipelines that turn public websites into clean, structured, scheduled data.
Explore →LLM integration, document processing and workflow automation that remove repetitive work.
Explore →Technical SEO, content architecture and conversion work that turns search traffic into leads.
Explore →Data engineering
Website sources
Public sites, portals, APIs
142 sources
Crawler network
Scheduled, rate-limited spiders
scrapy · playwright
Extraction
Selectors, parsers, documents
fields → records
Validation
Schemas, required fields, anomalies
rules: 38 passed
Data processing
Normalize, dedupe, detect changes
dedupe · diff
Database / API
Postgres, MySQL, S3, REST
CSV · JSON · API
Business intelligence
Dashboards, alerts, exports
daily delivery
Services
Web applications, portals and business websites built on Laravel, Python and modern JavaScript, designed to be fast, secure and maintainable.
Laravel applications, APIs and SaaS platforms, plus upgrades and rescue work on existing Laravel codebases.
Python applications, APIs, automation and data processing with Django, Flask and the scientific Python stack.
Custom crawlers and data pipelines that turn publicly accessible websites into clean, structured, regularly updated datasets.
Practical AI: LLM integration, document processing, RAG search and workflow automation that removes repetitive work.
Technical audits, Core Web Vitals, structured data, migrations and site architecture, implemented by engineers rather than just reported.
Portfolio
Real Estate
Multi-source property data collection, address normalization and an investor dashboard with search, alerts and exports.
Legal Technology
Automated daily extraction and normalization of publicly available court filings from multiple county portals, delivered by API.
SaaS
Multi-tenant SaaS application with team accounts, Stripe subscriptions, role-based permissions, dashboards and a public API.
Industries
Technology
How we work
We learn the business problem first: who uses the system, what it replaces, and what success looks like in numbers.
Features, integrations, data and constraints are written down and agreed, so scope and cost are predictable.
We choose the stack, hosting and integration approach, and flag risks before any code is written.
Data model, API contracts and module boundaries designed for the next three years, not just the launch.
Short iterations with working software you can review on a staging environment every week.
Automated tests for business rules and APIs, plus manual QA across browsers and devices.
Repeatable, scripted deployments with backups, SSL, monitoring and a rollback path.
Error tracking, uptime checks and performance metrics, so problems are caught before your users report them.
Ongoing support, upgrades and new features, on a retainer or as needed.
Why Ormoos
Solutions are designed around real business requirements, with architecture decisions you can explain to your team.
Years of building custom spiders, crawlers and extraction systems for difficult, changing sources.
Frontend, backend, APIs, databases, servers and deployment, handled by the same team.
Technology is measured by what it changes: hours saved, data delivered, leads generated.
A one-off project, long-term development or an ongoing technical partnership.
You talk to the engineers doing the work, without layers of account managers in between.
Knowledge
AI assistants and answer engines are a new discovery channel. Here is what you can realistically influence (crawlability, clarity, structure and consistency) and what nobody can promise.
Collecting data is the easy part. Here is how to make it trustworthy: schemas, validation rules, normalization, deduplication and change detection between runs.
Both frameworks are mature, productive and well supported. The right choice depends less on features than on your team, your data and your ecosystem.
Tell us what you're building. We'll reply within one business day with questions, a suggested approach, and a realistic estimate.