AI & Machine Learning
Large language models, agent frameworks, and evaluation tooling to create reasoning-driven systems with guardrails.
- GPT-5
- Claude
- Gemini
- DeepSeek
- Llama 3
- LangChain
- RAG Frameworks
- LLMOps
The technology behind our AI solutions
We combine modern AI, automation, and cloud capabilities to build reliable systems that plug into your existing infrastructure. From data pipelines to AI agents, our stack blends open-source innovation with enterprise-grade security and performance.
Core pillars
We select tooling based on outcomes, interoperability, and long-term maintainability. Each pillar pairs with specialists who architect, deploy, and run these technologies daily.
Large language models, agent frameworks, and evaluation tooling to create reasoning-driven systems with guardrails.
Low-code and workflow engines for orchestrating multi-app automations with resilience and human-in-the-loop controls.
Modern AI-native development environments and copilots that accelerate prototyping, agent engineering, and code delivery.
Portable architectures across AWS, Azure, and GCP with containerization and serverless foundations for scale.
Operational data stores optimized for structured and unstructured workloads feeding analytics and AI pipelines.
Secure connectors that sync with collaboration, CRM, ERP, and custom systems through API-first integrations.
Continuous delivery, monitoring, and alerting that keep AI services reliable with full telemetry and compliance.
Encryption, secrets management, and audit alignment to ship AI features that adhere to SOC 2 and GDPR standards.
Architecture blueprint
Every deployment follows a consistent reference architecture with secure data ingestion, reasoning engines, workflow orchestration, multi-cloud runtime, and deep telemetry.
Secure ingestion from business apps, warehouses, and knowledge bases.
LLMs + RAG pipelines orchestrated for reliable reasoning and retrieval.
Workflows, approvals, and guardrails coordinating human + AI actions.
Infrastructure-as-code and containerized runtimes across multi-cloud.
Unified telemetry and dashboards for reliability and ROI insights.
Our architecture ensures reliability, scalability, and full observability across every AI deployment.
Layers in focus
We combine GPT, Claude, and Llama 3 with retrieval-augmented generation and agent frameworks to build context-aware assistants that explain decisions and cite data sources.
Using n8n, Argo Workflows, and serverless triggers, we orchestrate end-to-end automations that plug into CRM, ERP, finance, and communications systems with human approvals baked in.
Our teams build portable, secure cloud architectures with Docker, Kubernetes, and Terraform, enabling consistent environments across AWS, Azure, and GCP.
We operate ingestion, transformation, and storage patterns across SQL, NoSQL, and analytics stores so AI outcomes are grounded in real-time business data.
n8n Expertise & Automation Orchestration
n8n is one of a key component of our automation ecosystem, enabling us to orchestrate AI agents, data flows, and business operations reliably at scale. We leverage n8n to build event-driven, AI-enhanced automation across multiple domains and platforms.
We leverage n8n to build event-driven, AI-enhanced automation across multiple domains and platforms.
Verified n8n Creator worldwide
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Industries automated (HR, IT Ops, Sales, Security, DevOps ...)
Our AI ecosystem brings together the leading models, frameworks, and platforms we use to design and deploy intelligent solutions. Explore the technologies that power our AI agents, automation systems, and enterprise integrations.
Amazon Bedrock
Claude
GitHub Copilot
DeepSeek
Google Gemini
OpenAI
Qwen
Anthropic
Hugging Face
LangChain
LangGraph
Lovable
Make
n8n
Mistral AI
Perplexity AI
Python
TypeScript
Stack in action
Talk to our engineers about your AI roadmap. Together we can design the architecture, workflows, and success metrics that transform your operations.