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Engagement Models

Dedicated Engineering Team

A dedicated team is not staff augmentation with a nicer name. It is a standing squad with its own lead, its own quality bar, and one backlog: yours.

2 wks
Typical time to a productive squad
100%
Allocation to your backlog
30 days
Notice to resize or exit

What This Includes

Capabilities you get, spelled out

No line item here is aspirational — each one is something we have shipped on a platform that is live today.

01

Ring-fenced allocation

The team works on your product and nothing else. No silent context-switching to whoever shouted loudest this week.

02

Embedded rituals

Your standups, your board, your definition of done. We adapt to your process rather than exporting ours.

03

Technical leadership

A lead who owns architecture decisions and code review, so quality does not depend on your CTO reviewing every pull request.

04

Elastic composition

Scale the squad up for a push and back down after, with a month of notice and no renegotiation.

05

Knowledge retention

Documentation and pairing built into the cadence, so team changes do not reset your institutional memory.

06

Transparent reporting

Velocity, cycle time and escaped-defect rate reported monthly, whether the numbers flatter us or not.

The Stack

What we deliver it on

Python end to end wherever it earns its place — one language across API, data pipeline and model layer keeps the team small and the feedback loop short. Everything here is a deliberate choice we can defend, not a default.

  • Python
  • React
  • React Native
  • PostgreSQL
  • AWS
  • Jira / Linear
01

Discovery

Opportunity map with effort-vs-impact scoring

02

Clarity

Signed-off build plan and prototype

03

Execution

Production platform, documented and owned by you

Proof

Where we have done this before

The closest matches in our portfolio by stack and problem shape.

Live on the web Google Play App Store
Lotus Eye Hospital logo

Healthcare & Telemedicine

Lotus Eye Hospital — Agentic Healthcare Platform

An autonomous agent running the full patient journey

  • Python
  • FastAPI
  • LangGraph
  • PostgreSQL
Google Play Live on the web
Tada logo

On-Demand Transportation & Mobility

Tada Taxi App

AI dispatch that cut rider wait times by 40%

  • Python
  • FastAPI
  • PostgreSQL + PostGIS
  • Redis

Start Your Project

Tell us what you need built.

Describe the workflow and we will come back with scope, stack and a realistic timeline in writing — within two working days.

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