Technology Stack

The complete AI technology ecosystem that powers our intelligent solutions

Model Types

We work with open-source and proprietary LLMs, multimodal architectures, vision models, and time-series forecasters. We specialise in RAG pipelines, fine-tuning, and low-latency inference.

Language Models

State-of-the-art language models that understand and generate human language with remarkable accuracy. Our LLMs can be fine-tuned for domain-specific knowledge and optimized for production use.

Open-source and proprietary LLMs
Domain-specific fine-tuning
Advanced RAG pipelines
Low-latency inference

Vision Models

Computer vision systems that can analyze and interpret visual data with high precision. Our vision models enable applications from quality control to object recognition and scene understanding.

Object detection & classification
Segmentation & recognition
Real-time video processing
Industrial-grade quality control

Specialized Models

Purpose-built AI models for specialized tasks like time-series forecasting, multimodal integration, and anomaly detection. These models combine multiple data types for comprehensive understanding.

Multimodal architectures
Time-series forecasting
Anomaly detection systems
Speech and audio processing

Development Frameworks

We use PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex for model development. NLP and CV projects use tools like spaCy, OpenCV, and Scikit-learn.

PyTorch

Open-source deep learning framework with dynamic computation graph

TensorFlow

End-to-end platform for machine learning with production-ready deployment

Hugging Face

Transformers library with pre-trained models for NLP and computer vision

LangChain

Framework for developing applications powered by language models

LlamaIndex

Data framework for building LLM applications with external knowledge

spaCy

Industrial-strength NLP library with pre-trained models

OpenCV

Computer vision library with extensive image and video processing

Scikit-learn

Machine learning library with diverse algorithms and preprocessing tools

FastAPI

Lightweight, high-speed framework for deploying AI models as APIs

Enterprise Infrastructure

We deploy on Docker, Kubernetes, and FastAPI. All components are containerised and ready for CI/CD using GitHub Actions or Jenkins. Hosting can be cloud, hybrid, or air-gapped.

Cloud infrastructure and technology stack for AI solutions by Perpetuus AI

Containerized Architecture

Our enterprise infrastructure is built on containerized microservices, enabling seamless scaling, resilience, and consistent deployments across environments.

Container Technologies

Docker
Kubernetes
Helm charts
Microservices

API & CI/CD Automation

FastAPI
gRPC services
GitHub Actions
Jenkins pipelines

Flexible Hosting Options

AWS, GCP, Azure
Hybrid cloud
On-premises
Air-gapped systems

Data & Pipelines

We use Airflow, dbt, Snowflake, and BigQuery for batch workloads. For real-time applications, we support Kafka and streaming data sources. Vector databases include Qdrant, Weaviate, and Pinecone.

Data Processing

Enterprise-scale data processing infrastructure with support for batch and real-time workloads.

  • Snowflake
  • BigQuery
  • dbt for transformation
  • Spark for scale

Workflow Orchestration

Advanced pipeline orchestration tools for reliable, scalable, and maintainable data workflows.

  • Airflow
  • Kafka for streaming
  • Prefect
  • ZenML for ML pipelines

Vector Databases

High-performance vector databases for semantic search and AI-powered information retrieval.

  • Qdrant
  • Weaviate
  • Pinecone
  • ChromaDB

Monitoring & Ops

We use MLflow, Weights & Biases, and Evidently AI for experiment tracking, model governance, and bias auditing. Our pipelines include automated retraining and alerting for production drift.

Experiment Tracking

Comprehensive experiment tracking and versioning for model development.

MLflow Weights & Biases DVC

Model Monitoring

Continuous monitoring of model performance and data drift in production.

Evidently AI Seldon Core Prometheus

Governance & Ethics

Ethical AI frameworks and governance processes for responsible AI deployment.

Bias auditing Responsible AI Model cards

Special Capabilities

Perpetuus AI offers private LLM environments, zero-trust architecture, blockchain integration for traceability, and support for digital twin simulation. These features are designed for clients working in regulated, ESG-sensitive, or safety-critical sectors.

Private LLM Environments

Fully private, self-hosted language models for sensitive applications and data sovereignty.

Zero-Trust Architecture

Comprehensive security framework with least privilege access and continuous verification.

Blockchain Traceability

Immutable audit trails and provenance tracking for regulated industries and ESG compliance.

Digital Twin Simulation

Virtual replicas of physical systems for scenario testing and operational optimization.

Ready to build with our technology stack?

Talk to our experts about how our technology stack can power your AI initiatives.

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