TECH STACK · AXIONCORE TECH

Built on the Right Tools.

Every tool in our stack is chosen with purpose — not trend. We select technologies that are battle-tested, scalable, and right for the problem at hand.

— FULL STACK —

Every Layer. Every Tool.

Six axes of engineering capability — each mapped to the exact technologies we deploy in production.

FRONTEND

Web & UI

Crafting interfaces that are fast, accessible, and precise — from pixel to interaction.

Next.jsFrameworkApp router, RSC, SSR/SSG

ReactUI LibraryComponent-driven architecture

TypeScriptLanguageType-safe across every layer

Tailwind CSSStylingUtility-first, zero runtime

Framer MotionAnimationPhysics-based UI motion

Radix UIPrimitivesAccessible headless components

BACKEND

APIs & Services

Scalable server-side systems built for real-world load — not just demos.

Node.jsRuntimeEvent-driven, non-blocking I/O

NestJSFrameworkModular enterprise-grade APIs

FastAPIFrameworkPython async, OpenAPI native

GraphQLAPI LayerFlexible typed query interface

RESTAPI LayerStandard HTTP resource APIs

WebSocketsRealtimeBidirectional live data streams

AI / ML

Intelligence Layer

From raw data to production-grade models — deployed, integrated, and monitored.

PyTorchFrameworkCustom model architecture & training

TensorFlowFrameworkProduction model serving at scale

LangChainLLM OpsOrchestrated LLM pipelines

OpenAI APIInferenceGPT-4o, embeddings, vision

HuggingFaceModelsFine-tuned & open-source models

MLflowOpsExperiment tracking & model registry

MOBILE

iOS & Android

Native and cross-platform — shipped to production, not just to TestFlight.

React NativeCross-platformShared codebase, native feel

ExpoToolchainOTA updates, managed workflow

Swift / SwiftUIiOS NativeFirst-class Apple ecosystem

KotlinAndroid NativeModern JVM Android development

FirebaseBackendAuth, push, Firestore

App Store / PlayDeploymentFull submission pipeline

INFRASTRUCTURE

Cloud & DevOps

Infrastructure that scales without babysitting — automated, observable, and secure.

AWSCloudECS, Lambda, RDS, S3, CloudFront

GCPCloudGKE, BigQuery, Vertex AI

DockerContainersPortable reproducible builds

KubernetesOrchestrationAuto-scaling workload management

GitHub ActionsCI/CDAutomated test & deploy pipelines

TerraformIaCDeclarative infrastructure as code

DATA & IoT

Data & Embedded

From sensor to cloud — real-time data pipelines and hardware-integrated systems.

PostgreSQLDatabaseACID, full-text, JSONB

MongoDBDatabaseFlexible document storage

RedisCacheIn-memory data & pub/sub

KafkaStreamingHigh-throughput event streams

MQTTIoT ProtocolLightweight device messaging

Raspberry Pi / ESP32EmbeddedEdge compute & sensors

— HOW WE CHOOSE —

Technology Philosophy

Right tool for the job

We don't chase trends. Every technology choice is grounded in the specific constraints of the project — scale, team, budget, and timeline.

Proven in production

We avoid bleeding-edge instability. Every tool in our stack has been battle-tested by us in real deployments under real conditions.

Maintainable by default

Good engineering means the team who inherits the system can understand it. We favour explicit, well-documented, standardised stacks.

Scalability as a first-class concern

Architecture decisions are made with growth in mind. We design for 10x load from day one, without over-engineering the MVP.

UNSURE WHAT STACK IS RIGHT FOR YOU?

We'll audit your requirements and recommend the exact architecture — before a single line of code is written.

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