01AI & Data
OpenAI
Gemini
Claude
PyTorch
TensorFlow
LangGraph
LlamaIndex
PaddleOCR
Qdrant
pgvector
MLflow
Apache SparkTechnology capability
A modern engineering stack across AI, data, software, cloud and specialized platforms—selected around the system, team and lifecycle.
Our stack
End-to-end engineering,
without blind spots.
Capability is more than a logo cloud. Our teams combine tools with architecture, delivery practices and domain understanding.
01OpenAIGeminiClaudePyTorchTensorFlowLangGraphLlamaIndexPaddleOCRQdrantpgvectorMLflowApache Spark
02Backend
.NET Core
Java / Spring Boot
Node.js
Python
PHP / Laravel
REST & GraphQLMicroservicesEvent-driven systems
03Frontend
React
Next.js
Angular
Vue.js
TypeScript
Design systemsProgressive Web Apps
Data visualization
04Mobile
React Native
Flutter
Swift
KotlinOffline-first
Push notificationsBiometrics
Location services
05Cloud
AWS
Azure
Google Cloud
Cloudflare
Docker
Kubernetes
GitHub Actions
Jenkins
Grafana
Prometheus
06Data & GIS
PostgreSQLPostGIS
SQL Server
MySQL
MongoDB
Redis
Elastic Stack
MapboxLeafletOpenStreetMapEngineering principles
The stack serves the system.
01Architecture with an exit
Clear boundaries, portable data and deliberate dependencies reduce long-term lock-in.
02Security in the path
Identity, secrets, data protection, auditability and recovery are engineered from the start.
03Observable by default
Metrics, logs, traces and operational dashboards make system behavior visible.
04Quality as a system
Reviews, automated tests, environments and release controls work together throughout delivery.
Have an ambitious problem?
Let’s turn your ideas into
systems that work.
Bring the context. We’ll bring product thinking, engineering depth and a practical path forward.
Start a conversation