React
Core UI and component driven web applications
Byond Boundrys Consulting · Technology stack
Technology choices that move AI from idea to production.
A practical production stack spanning models, documents, data and product engineering, selected around the workflow, controls and outcomes each engagement needs.
11 capability layers
144+ tools and services
18 detailed case studies
Applied AI
data · models · products
React
React Native
Angular 17
TypeScript
JavaScript
Tailwind CSS
governed by design
built around the workflow
01Fit the workflow
We start with the user journey, data and operating constraints.
02Keep providers flexible
Application boundaries make it easier to evolve models and services.
03Design for operation
Latency, cost, access, quality and review are part of the build.
Our working stack
Capabilities, not a random list of logos.
These are representative technologies we use, evaluate or integrate across Byond Boundrys Consulting projects, prototypes and production workflows. The right combination changes with the problem, data controls and delivery scope.
01
Frontend development
Interfaces that make complex systems feel clear.
We build responsive web, mobile and desktop experiences around the way people actually work, with strong information hierarchy, fast feedback and maintainable UI foundations.
React Native
Cross platform mobile application delivery
Angular 17
Enterprise TypeScript web applications
TypeScript
Typed application engineering at scale
JavaScript
Browser behaviour and product interactions
Tailwind CSS
Consistent utility first visual systems
NativeWind
Tailwind style mobile interface styling
Vite
Fast development and production builds
Tauri
Lightweight desktop applications
React Router
Declarative single page application routing
Zustand
Lightweight session and UI state management
React Query
Server state fetching, caching and synchronisation
Recharts
Analytics and dashboard visualisation
Chrome Extension APIs
Browser extension workflows and integrations
02
Backend & runtime
Reliable application layers behind every AI workflow.
Our backend choices keep model orchestration, data processing, APIs and user facing products separable, testable and ready for the next stage of delivery.
Node.js
Scalable JavaScript services and integrations
Python
AI backends, automation and data pipelines
FastAPI
High performance typed REST APIs
Django
Structured Python web applications
NestJS
Maintainable Node.js server architecture
Express.js
Flexible Node.js API services
Nginx
Reverse proxy, serving and load balancing
Uvicorn
ASGI serving for FastAPI applications
C#
Typed application and service development
.NET 8 / .NET 9
Cross platform enterprise runtime and APIs
ASP.NET Core
High performance web APIs and services
Entity Framework Core
Relational data access and migrations for .NET
Java
Enterprise services and integration workloads
PHP
WordPress theme and public site engineering
WordPress
Custom CMS, content and marketing platforms
03
AI models & generative AI
Model choices matched to the job, risk and operating context.
We combine hosted, open and fine tuned models with provider flexible application architecture, evaluation and clear human controls.
OpenAI GPT-5.6 Sol
Frontier reasoning and complex production workflows
OpenAI GPT-5.6 Terra
Balanced intelligence and operating cost
OpenAI GPT-5.6 Luna
Cost sensitive, high volume generation
OpenAI GPT-4.1 / GPT-4o
Established text, vision and structured generation
OpenAI reasoning models
Deliberative reasoning for complex decisions
GPT Image 2
Image generation and editing workflows
Whisper
Speech recognition and transcription
OpenAI embeddings
Semantic representations for retrieval systems
Azure OpenAI (GPT-4o)
Enterprise language and multimodal model access
Google Gemini 2.5 Pro
Complex reasoning over long documents and code
Google Gemini 2.5 Flash
Low latency multimodal reasoning and generation
Google Gemini 2.5 Flash Lite
High throughput extraction and classification
Google Gemini 3.5 Flash
Agentic and coding workflows at production speed
Gemini 2.5 Flash Image
Native image generation and editing
Gemini 2.5 Flash TTS
Controllable text to speech for voice products
Vertex AI Model Garden
Managed model access, evaluation and deployment
Mistral Medium 3.5
Multimodal agentic and coding workflows
Mistral Small 4
Efficient instruct, reasoning and coding model
Ministral open models
Compact models for efficient deployments
Llama open weight models
Self hosted and controlled model options
Qwen3 8B / 30B
Open models for efficient and complex reasoning
Flan T5
Fine tuned text transformation and NLP tasks
RoBERTa
Text classification and AI detection tasks
DALL E 3
Generated visual content and concept exploration
Deepgram STT
Real time speech to text for voice workflows
Amazon Polly TTS
Neural text to speech conversations
Twilio Voice AI
PSTN calling, routing and voice flows
Embedding models
Vector representations for retrieval and RAG
Claude
Provider flexible LLM integration path
04
Document AI & OCR
Document intelligence that preserves structure, evidence and context.
OCR and document models turn scans, PDFs, forms and tables into reviewable, searchable inputs for RAG, extraction and workflow automation.
Mistral OCR 4
Structured OCR with layout, blocks and confidence signals
Google Document AI OCR
Enterprise OCR, quality analysis and layout extraction
Google Document AI Form Parser
Fields, tables and key value extraction from forms
Azure AI Document Intelligence
Read, layout and prebuilt document extraction
Amazon Textract
Text, forms, tables and document analysis on AWS
Tesseract OCR
Open source text extraction from scans and images
PaddleOCR
Multilingual OCR and document parsing pipelines
Docling
Open document conversion and structure aware parsing
LlamaParse
Layout aware parsing for complex documents
Unstructured
Document partitioning and ingestion primitives
05
Databases & storage
Data foundations that stay useful as the product grows.
The right storage model depends on the workflow: transactional records, documents, vectors, real time state or durable files. We design the boundary deliberately.
MongoDB Atlas
Flexible document data and managed search
Firebase
Realtime backend services and authentication
MySQL
Relational application data storage
MariaDB
Open relational database for application workloads
Redis
Caching, queues and real time ephemeral state
Elasticsearch / OpenSearch
Full text search, logs and analytics indexes
Qdrant
Vector search with filtering and payloads
Weaviate
Cloud native vector database and hybrid search
Neo4j
Graph relationships for knowledge and recommendations
Pinecone
Managed vector search for RAG systems
ChromaDB
Open source embedding storage and retrieval
Convex
Reactive real time application backend
PostgreSQL
Structured relational data and reporting
DynamoDB
Serverless key value application data
Amazon S3
Durable object storage and media pipelines
SQLAlchemy / Alembic
Python ORM and schema migrations
06
AI frameworks, libraries & orchestration
The control layer between models and meaningful work.
Frameworks are selected for the workflow they enable: structured outputs, retrieval, agent state, evaluation, fine tuning, document processing and safe integration.
Pandas
Structured data manipulation and analysis
Hugging Face
Model hub and transformer ecosystem
PyTorch
Deep learning training and inference
Transformers
Fine tuning and serving transformer models
LangChain
LLM application and tool orchestration
LangGraph
Stateful agentic workflow graphs
LlamaIndex
Data framework for agents and retrieval workflows
Haystack
Composable pipelines for search and question answering
DSPy
Programmatic optimisation of language model pipelines
Semantic Kernel
Microsoft orchestration SDK for AI applications
vLLM
High throughput serving for open models
Ollama
Local model development and evaluation
ONNX Runtime
Portable, optimised model inference
MLflow
Experiment tracking, model registry and evaluation
NumPy
Numerical computing and array processing
pdfplumber
PDF text, table and structure extraction
Pydantic
Validated schemas and structured outputs
pandas ta / TA Lib
Technical analysis and market signals
PyPDF2
PDF extraction in upload workflows
XlsxWriter
Structured Excel report generation
LaTeX
Structured resume and PDF generation
APScheduler
Scheduled background analytics tasks
07
Cloud, infrastructure & DevOps
Production foundations for secure, observable delivery.
We use cloud and infrastructure tools to make deployments repeatable, services reachable, certificates current, and background work resilient.
Docker
Portable and repeatable application containers
Kubernetes
Container orchestration for production services
Terraform
Repeatable infrastructure as code
Docker Compose
Multi service local and VPS orchestration
Amazon AWS
Cloud compute, storage and managed services
Microsoft Azure
Enterprise cloud and AI services
Traefik
Reverse proxy and service discovery
Let's Encrypt
Automated SSL/TLS certificate renewal
Hostinger VPS
Managed VPS hosting environment
AWS SES
Transactional email delivery
Vertex AI
Google Cloud model operations and deployment
AWS SQS
Queue based processing and retries
RabbitMQ
Brokered work for priority queues
Google Maps API
Location, mapping and place intelligence
OpenTelemetry
Portable traces, metrics and logs for AI services
Prometheus / Grafana
Service metrics, dashboards and alerting
08
Retrieval & search systems
Grounded answers need more than a model call.
Hybrid retrieval combines semantic similarity with keyword precision so users can find, inspect and act on the right source context.
FAISS
Local vector similarity search
BM25
Keyword retrieval for hybrid search
MongoDB Atlas Vector Search
Managed vector retrieval within document data
Pinecone
Managed similarity search for RAG
09
Background jobs & data ingestion
Automation that keeps moving after the screen closes.
Ingestion, scheduled tasks and long running AI work are separated from the request response path so users get dependable products, not fragile demos.
n8n
Visual automation and integration workflows
Celery
Distributed Python task processing
Playwright
Headless browser automation and ingestion
BeautifulSoup
Structured HTML parsing and extraction
HTTPX
Async HTTP integrations and data fetching
Google Sheets
Spreadsheet backed data automation
10
Security, authentication & access
Controls that keep AI useful and accountable.
Access, licensing, consent and review controls are part of the system design, especially where documents, financial data, hiring decisions or voice workflows are involved.
JWT Authentication
Token based API access control
Google OAuth 2.0
Secure Google sign in flows
Role Based Access Control
Permissions aligned to user roles
Concurrent User Licensing
Company and plan level access controls
Device Fingerprinting
Additional signals for account protection
11
Third party APIs & integrations
Connect the product to the systems people already use.
Integrations are designed behind stable application boundaries so the product can evolve without turning every provider change into a rewrite.
Razorpay
Payments and subscription flows
CoreSignal API
Professional profile data provider
Unipile
LinkedIn messaging and connections
Twilio
Programmable voice and communication
Google Play Console
Android publishing and release workflow
Google Cloud IAM
Service accounts and permission management
Google Sheets API
Data driven content and operations
Architecture before tooling
Have a workflow to make production ready?
Bring us the data, integrations and constraints. We will help shape the smallest credible first release and the stack around it.