Drezen Technology

Taking on new engagements for Q4

Software that becomes your advantage

We design, build and run custom web platforms, mobile apps, cloud infrastructure and AI systems — for companies where off-the-shelf software has stopped being enough.

No sales sequence. A 30-minute call, and we will tell you honestly whether we are the right fit.

Years building software
7+Years building softwareFounded 2018
Products shipped
180+Products shippedWeb, mobile, cloud & AI
Countries served
14Countries servedNorth America, EU, MENA, APAC
Client retention
94%Client retentionRolling 3-year average

Trusted by teams shipping software that matters

  • Northbridge Capital
  • Cascade Regional Bank
  • Atlas Freight Group
  • Helios Analytics
  • Verity Health Network
  • Loomcraft
  • Meridian Utilities
  • Kestrel Systems

What we do

Engineering across the whole product lifecycle

Thirty-one services across 9 disciplines — from a first prototype to a platform running under an SLA. Here are the ones we are asked for most.

All 31 services

Custom Web Application Development

Bespoke web platforms built for scale, speed and long-term ownership.

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AI/ML Solutions & Integration

Machine learning and LLM systems that survive contact with production.

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Cloud Consulting & Migration

AWS, Azure and GCP migrations that land on budget and stay there.

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Cross-platform App Development

React Native and Flutter apps: one codebase, both platforms, no compromise.

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SaaS Product Development

Multi-tenant platforms with billing, onboarding and analytics built in.

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UI/UX Design

Interface design grounded in research and built to be shipped.

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Where we work

Domains we already understand

Sector context shortens discovery and stops you paying us to learn what your team already knows. These are the ones we work in most often.

All industries

Fintech & Financial Services

Regulated-grade engineering for payments, lending and wealth platforms.

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Healthcare & Life Sciences

HIPAA-aware platforms for care delivery, patient access and clinical data.

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E-commerce & Retail

Storefronts, commerce operations and the systems behind the order.

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Real Estate & PropTech

Listings, transactions and property operations, properly digitised.

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Logistics & Supply Chain

Visibility, routing and execution across a network you do not fully control.

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SaaS & Technology

Platform engineering for companies whose product is the software.

Explore

How we work

Five phases, no surprises

The same shape on every engagement. You always know which phase we are in, what comes out of it, and what decision is needed from you next.

  • 01

    Discover

    1–4 weeks

    We map the domain, the constraints and the actual decision the software has to support — before anyone proposes an architecture.

    • Stakeholder and user interviews
    • Domain model and process map
    • Technical constraints and risk register
    • Prioritised backlog with a fixed-scope phase one estimate
  • 02

    Design

    2–4 weeks

    Architecture and interface designed together, so nothing gets built before it has been agreed on paper by both sides.

    • System architecture and data model
    • API contracts and authorisation matrix
    • High-fidelity UI covering every state
    • Infrastructure topology and security design
  • 03

    Build

    8–20 weeks

    Two-week increments against a shared board. Every increment is deployed and demoable — progress is visible in the product, not in a document.

    • Working software every two weeks
    • Automated tests in CI from the first sprint
    • Deployed staging environment with real data
    • Open board, open repository, open metrics
  • 04

    Launch

    2–4 weeks

    Hardening, rehearsal and a cutover with a tested rollback. Launch day should be uneventful, and that takes preparation.

    • Load, penetration and accessibility testing
    • Runbooks and monitoring in place
    • Rehearsed cutover with rollback proven
    • Analytics and success measures instrumented
  • 05

    Support

    Ongoing

    SLA-backed operations with reserved capacity for improvement — or a structured handover to your team. Your choice, not ours.

    • Severity-based SLA with reported performance
    • Preventive maintenance and dependency upgrades
    • Monthly improvement allocation
    • Documented handover path whenever you want it

Selected work

Outcomes, not screenshots

Every case study states what changed, by how much, and how it was measured. Where we recommended against a build, that is in there too.

All case studies
Fintech & Financial Services9 months

Rebuilding a lending origination platform around an event-sourced ledger

An event-sourced origination platform replacing a spreadsheet-and-email process, with decisioning, audit trail and reconciliation built in.

Median time to credit decision
4.2 days → 6 hrsMedian time to credit decision
Applications processed per underwriter
3.1xApplications processed per underwriter
Decisions reconstructable for audit
100%Decisions reconstructable for audit
Read the case study
Fintech & Financial Services11 months

Migrating a regional bank to AWS without a maintenance window

43 workloads moved from two ageing data centres to AWS in eleven months, with a governed landing zone and a 34% run-rate reduction.

Unplanned outages during migration
0Unplanned outages during migration
Infrastructure run-rate reduction
34%Infrastructure run-rate reduction
Environment provisioning time
11 days → 40 minEnvironment provisioning time
Read the case study
Logistics & Supply Chain7 months

A supply chain control tower that surfaces exceptions before they land

A real-time visibility platform unifying 19 carrier feeds, with predictive ETAs and exception routing that reaches an operator while options still exist.

Reduction in late-delivery penalties
61%Reduction in late-delivery penalties
Systems an operator monitors
19 → 1Systems an operator monitors
Average earlier exception detection
4.5 hrsAverage earlier exception detection
Read the case study

What our clients say

The discovery phase alone was worth the engagement. They found contradictions in our credit policy that we had been operating around for years without realising it.

Quotes are illustrative pending client approval — see the case studies for the measured results behind them.

Tools

We pick the stack for your constraints, not our comfort

What your team can maintain, what your hiring market supports, and what your compliance position requires — those decide the stack. This is what we work in most.

Languages

  • TypeScript
  • Python
  • Go
  • Java
  • Kotlin
  • Swift
  • Rust
  • C#

Frameworks

  • React
  • Next.js
  • Node.js
  • NestJS
  • FastAPI
  • Spring Boot
  • .NET
  • React Native

Data

  • PostgreSQL
  • Redis
  • Kafka
  • Snowflake
  • ClickHouse
  • dbt
  • Elasticsearch
  • pgvector

Cloud & platform

  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
  • Terraform
  • Docker
  • Vercel
  • Cloudflare

Before you ask

The questions we get most

If yours is not here, the full list is on our FAQ page — or just ask us directly.

Read all frequently asked questions

Tell us what you are trying to build

A 30-minute call is usually enough for both of us to know whether this is a fit. If it is not, we will point you somewhere better.

sales@drezentechnology.comUsually replies within one business day