AI engineering supervised for production

OpenAIOpenAI provides GPT models and APIs for assistants, content, and automation features. EvoFront integrates OpenAI into product workflows with evaluation gates and human review. OpenAI application development by EvoFront turns model APIs into reliable production features you own.

AnthropicAnthropic Claude models power careful reasoning and long-context AI assistants. EvoFront integrates Anthropic APIs into enterprise workflows with safety checks and senior review. Claude AI integration by EvoFront focuses on production quality, not unsupervised demos.

Google GeminiGoogle Gemini is a multimodal AI platform for text, image, and document understanding. EvoFront integrates Gemini into product features when Google Cloud or multimodal needs fit. Gemini AI development by EvoFront ships assistants and automations with evaluation before release.

Azure AIAzure AI delivers enterprise AI services on Microsoft Azure for models, search, and orchestration. EvoFront builds Azure AI integrations for teams already on Microsoft cloud. Azure AI software development by EvoFront aligns security, identity, and product delivery.

Amazon BedrockAmazon Bedrock provides managed foundation models on AWS without running your own GPU fleet. EvoFront uses Bedrock for AWS-native GenAI product features with IAM and observability. Bedrock AI development by EvoFront keeps models inside your AWS account boundaries.

Hugging FaceHugging Face hosts open models and inference tooling for custom ML and LLM workloads. EvoFront uses Hugging Face when open weights or fine-tuned models fit the product. Hugging Face ML development by EvoFront bridges research models into production services.

LangChainLangChain orchestrates LLM chains, tools, and memory for AI application backends. EvoFront uses LangChain to structure assistants and agent workflows with testable steps. LangChain development by EvoFront turns prompts into maintainable product features.

LlamaIndexLlamaIndex specializes in RAG - grounding AI answers in your documents and data. EvoFront uses LlamaIndex for knowledge assistants and retrieval pipelines. RAG development by EvoFront with LlamaIndex reduces hallucinations with company-specific context.

PythonPython is a versatile language for APIs, data pipelines, and machine learning services. EvoFront uses Python for ML backends, automation, and data-heavy product features. Python software development by EvoFront connects AI models, analytics, and operator workflows into shippable systems.

PyTorchPyTorch is a leading deep learning framework for training and serving neural networks. EvoFront uses PyTorch when custom models or research-to-production ML is required. PyTorch ML development by EvoFront supports training, evaluation, and serving in product systems.

TensorFlowTensorFlow is a mature ML framework for training and deploying models at scale. EvoFront uses TensorFlow when existing pipelines or TensorFlow Serving fit the stack. TensorFlow software development by EvoFront connects model training to reliable product inference.

PostgreSQLPostgreSQL is a robust open-source relational database for transactional applications. EvoFront uses PostgreSQL as the default data store for SaaS, portals, and APIs. PostgreSQL database development by EvoFront covers schema design, migrations, and production reliability.

MongoDBMongoDB is a document database for flexible schemas and fast iteration on product data. EvoFront uses MongoDB when document models fit catalogs, content, or evolving APIs. MongoDB development by EvoFront balances flexibility with indexes, tenancy, and ops discipline.

AWSAmazon Web Services is the leading cloud for compute, storage, and managed services. EvoFront designs and operates AWS environments for production products. AWS cloud development by EvoFront includes IaC, CI/CD, and observability for reliable releases.

Google CloudGoogle Cloud Platform provides cloud compute, data, and AI services worldwide. EvoFront builds and runs products on GCP when Google's stack fits the roadmap. Google Cloud development by EvoFront covers infrastructure, pipelines, and secure deployments.

AzureMicrosoft Azure is the enterprise cloud for apps, identity, and hybrid workloads. EvoFront delivers Azure-hosted products with enterprise security expectations. Azure cloud development by EvoFront includes environments, pipelines, and production operations.

DockerDocker packages applications into portable containers for consistent deploy environments. EvoFront uses Docker so staging matches production for every release. Docker container development by EvoFront underpins modern DevOps for web, API, and ML services.

KubernetesKubernetes orchestrates containers for scalable, resilient production workloads. EvoFront runs Kubernetes when multi-service products need autoscaling and rollout control. Kubernetes DevOps by EvoFront keeps deployments boring and production observable.

GitHub ActionsGitHub Actions automates CI/CD pipelines for build, test, and deploy workflows. EvoFront configures Actions so every merge can ship safely. GitHub Actions CI/CD by EvoFront accelerates delivery without sacrificing quality gates.