Our Technology Stack
Technology stack built for production-ready AI systems
Our technology stack is designed to support the full lifecycle of modern AI systems — from data ingestion and model development to deployment, monitoring, and long-term maintenance.
We focus on reliability, scalability, and explainability, selecting tools that are proven in real production environments.
AI & Large Language Models
We design and integrate intelligent systems based on state-of-the-art machine learning and large language models.
Capabilities
Custom AI assistants and copilots
Retrieval-Augmented Generation (RAG) systems
Domain-specific knowledge grounding
Prompt engineering and LLM orchestration
Technologies
OpenAI, custom LLM integrations
LangChain, custom pipelines
Whisper / WhisperX (speech & transcription)
PyTorch, NumPy
Knowledge Retrieval & Data Processing
We build robust data pipelines that transform unstructured information into usable, searchable knowledge.
Backend Architecture
Document ingestion and preprocessing
Embedding generation and semantic search
Vector-based retrieval and ranking
Source attribution and explainability
Cloud & Infrastructure
Vector databases (FAISS, OpenSearch, Pinecone)
Embeddings & semantic indexing
PDF, text, and structured data processing
MLOps & Model Lifecycle Management
We ensure AI systems are deployable, observable, and maintainable over time.
Capabilities
Model training, evaluation, and versioning
CI/CD for ML workflows
Data drift and model drift monitoring
Automated retraining and updates
Technologies
MLflow, Weights & Biases
GitHub Actions, CI/CD pipelines
Evidently AI
Prometheus, Grafana
Cloud & Deployment
We deploy AI systems that scale securely across cloud and hybrid environments.
Capabilities
Secure API-based inference
Serverless and container-based deployment
Role-based access control (RBAC)
Cost-efficient scaling strategies
Cost monitoring and optimization for AI workloads
Technologies
AWS (Lambda, S3, API Gateway, IAM)
Docker, Docker Compose
FastAPI, REST APIs
Embedded & Edge AI
We design AI systems that operate beyond the cloud — directly on devices and sensors.
Capabilities
Edge inference and optimization
Model quantization and compression
OTA updates for deployed devices
Real-time, low-latency inference
Technologies
Edge Impulse
ONNX, TensorFlow Lite
Renode
AWS IoT Jobs
Frontend & System Integration
We integrate AI systems into real workflows and existing tools.
Capabilities
Internal dashboards and admin panels
System and API integrations
AI-powered UX for teams and operators
Technologies
Web-based dashboards and internal AI interfaces
API integrations
Custom internal tools
Our Approach
We do not chase tools for their own sake.
Every technology in our stack is selected based on:
Production readiness
Security and compliance
Long-term maintainability
Clear business value
GENDEL.AI Services — technology chosen for outcomes, not trends.
