Technology stack · 7 categories

A supportable stack for modern business systems.

We are deliberately opinionated but not locked in. These are the platforms our team runs in production today — pick what fits your environment, and we will tell you honestly when something on this list is the wrong tool for your problem.

56
Technologies in production support
3
Hyperscalers: AWS, Azure, GCP
24/7
Monitoring on managed estates
1 day
Typical response to a stack question

01 / Interface

Frontend & mobile

Typed React on the web, native where the hardware matters. Design tokens and motion are part of the build, not a later pass.

8 SUPPORTED
NE
Next.js
App Router, RSC
RE
React
Component layer
TY
TypeScript
Types end to end
TC
Tailwind CSS
Design tokens
FM
Framer Motion
Interaction & motion
KO
Kotlin
Native Android
SW
Swift
Native iOS
RN
React Native
Shared mobile

02 / Services

Backend & languages

Services sized to the team that maintains them. We favor boring, well-instrumented runtimes over clever ones.

8 SUPPORTED
NO
Node.js
APIs & edge
PY
Python
Data & AI services
FA
FastAPI
Typed Python APIs
JA
Java
Enterprise services
SB
Spring Boot
JVM framework
.C
.NET / C#
Windows estates
GO
Go
High-throughput services
GR
GraphQL
Aggregation layer

03 / Data

Databases & data access

Relational by default, key-value where scale demands it, and a typed access layer so schema changes stay reviewable.

8 SUPPORTED
PO
PostgreSQL
Primary relational
MY
MySQL
Relational / LAMP
MS
MS SQL Server
Enterprise OLTP
DY
DynamoDB
Serverless key-value
MO
MongoDB
Document store
RE
Redis
Cache & queues
PR
Prisma
Typed ORM & migrations
SN
Snowflake
Analytics warehouse

04 / AI

AI, search & automation

Retrieval-grounded assistants and document automation, with evaluation and cost controls wired in from the first prototype.

8 SUPPORTED
PI
Pinecone
Vector search
AB
Amazon Bedrock
Managed models
OP
OpenAI
Model provider
AC
Anthropic Claude
Model provider
LA
LangChain
Orchestration
PG
pgvector
In-database vectors
AA
Azure AI Search
Hybrid retrieval
N8
n8n
Workflow automation

05 / Cloud

Cloud platforms

AWS-first, fluent in Azure and GCP. Landing zones, cost guardrails, and least-privilege IAM come with the build.

8 SUPPORTED
AW
AWS
Primary platform
MA
Microsoft Azure
M365-aligned estates
GC
Google Cloud
Data & ML workloads
VE
Vercel
Frontend hosting
CL
Cloudflare
Edge, DNS & WAF
LA
Lambda
Serverless compute
EF
ECS / Fargate
Container runtime
S3
S3
Object storage

06 / Identity & payments

Identity, payments & comms

Authentication and money movement are the two places we never hand-roll. Managed providers, audited integrations.

8 SUPPORTED
AU
Auth0
Enterprise SSO
CL
Clerk
App-native auth
OK
Okta
Workforce identity
EI
Entra ID
Microsoft identity
ST
Stripe
Payments & billing
TW
Twilio
SMS & voice
SE
SendGrid
Transactional email
HU
HubSpot
CRM integration

07 / Operations

DevOps & observability

Infrastructure as code, reproducible pipelines, and dashboards your team can read at 2am without calling us.

8 SUPPORTED
TE
Terraform
Infrastructure as code
DO
Docker
Containerization
KU
Kubernetes
Orchestration
GA
GitHub Actions
CI/CD
DA
Datadog
Monitoring & APM
GR
Grafana
Dashboards
SE
Sentry
Error tracking
AN
Ansible
Config management

Not on the list?

Most stacks we inherit are a mix. That is normal.

Tell us what you are running — legacy .NET, an on-prem SQL cluster, a half-finished migration — and we will map it to a supportable target state before anyone writes code.