From a simple, fast company website to a complex application built with Python - we design and build web software that performs under real-world load and stays maintainable as you grow.
Marketing sites, landing pages and company websites that are quick to launch, easy to edit and score well on speed and SEO. No bloated page builders - clean markup you own.
Client portals, SaaS products, dashboards and internal tools - built on a Python back-end with clean architecture, so they stay fast and maintainable as your business grows.
Fast, good-looking marketing sites and landing pages that are easy to maintain and rank well.
SaaS platforms, client portals, dashboards and internal tools built with Python and tailored to your workflow.
Secure, documented APIs and clean integrations with the services your business already runs on.
MySQL and PostgreSQL schemas, migrations and reporting queries that stay fast as data grows.
Get to market fast with a lean, well-architected first version ready to iterate on.
Refactor, rebuild or incrementally migrate ageing websites and systems without downtime.
Routes, models and workers arrive typed, tested and documented - the way a codebase should look after year three, from day one.
from flask import Blueprint, jsonify, request from .auth import require_scope bp = Blueprint("orders", __name__, url_prefix="/api/orders") @bp.get("/<int:order_id>") @require_scope("orders:read") def get_order(order_id: int): order = Order.query.get_or_404(order_id) # scoped, audited return jsonify(order.to_dict())
from sqlalchemy.orm import Mapped, mapped_column from .extensions import db class Order(db.Model): id: Mapped[int] = mapped_column(primary_key=True) total_cents: Mapped[int] = mapped_column(nullable=False) status: Mapped[str] = mapped_column(default="PENDING", index=True) def to_dict(self) -> dict: return {"id": self.id, "total": self.total_cents / 100}
from celery import Celery import pandas as pd celery = Celery("reports", broker=BROKER_URL) @celery.task(autoretry_for=(IOError,), retry_backoff=True) def weekly_report(account_id: int): df = pd.read_sql(SALES_SQL, engine, params={"id": account_id}) email_report(account_id, df.to_html()) # observable, retried
Type hints, tests that mean something, and review on every change - before speed, we guarantee it works.
Proven frameworks and SQL over hype. We spend innovation budget where it pays you back.
Architecture notes, runbooks and clean READMEs ship with the code - your team is never locked out of its own system.
Least privilege, dependency audits and secrets hygiene are baked into the pipeline, not bolted on later.
A focused, battle-tested toolkit chosen to fit each project - never technology for its own sake.
Share your requirements and we'll propose an architecture and a realistic plan.
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