AI Partners

An Ecosystem for Applied Intelligence

TECKVENTUS assembles the best AI platforms, models and infrastructure partners — so your enterprise can compose the right stack for every use case.

Microsoft AI
Azure OpenAI · Copilot Studio · Fabric AI

Enterprise-grade LLM deployments on Azure OpenAI, agentic apps on Copilot Studio, and analytics AI on Microsoft Fabric.

  • Azure OpenAI enterprise deployments
  • Copilot Studio agentic workflows
  • Microsoft Fabric + Power BI AI
OpenAI
GPT · Realtime · Assistants API

Production-grade GPT integrations, function calling, structured outputs and evaluation harnesses for regulated workloads.

  • GPT-class model integrations
  • Function calling & Assistants API
  • Enterprise evaluations & guardrails
Anthropic
Claude · Agentic · Long-context

Claude-powered agentic workflows for the enterprise — deep reasoning, long-context document AI and safety-first design.

  • Claude Sonnet & Opus deployments
  • Long-context document AI
  • Constitutional AI safety patterns
Google Cloud AI
Gemini · Vertex AI · GKE

End-to-end Gemini and Vertex AI implementations — from data-to-model pipelines on GCP to production MLOps.

  • Gemini enterprise deployments
  • Vertex AI + AutoML pipelines
  • BigQuery ML & Analytics AI
NVIDIA
NIM · TensorRT · Triton

GPU-accelerated inference, NIM microservices, TensorRT optimisation and Triton multi-model serving at scale.

  • NIM microservices deployments
  • TensorRT / TensorRT-LLM tuning
  • Triton inference server scaling
Hugging Face
Open-source · Fine-tuning · Spaces

Open-source model curation, PEFT/LoRA fine-tuning, private endpoints and enterprise Hugging Face Spaces deployments.

  • LoRA / PEFT fine-tuning
  • Private inference endpoints
  • Transformers + Datasets tooling
80+
Models in Production
12
Foundation Models Supported
6
Global AI Partners
24/7
AI Ops Coverage
Compose your AI stack

Not sure which model or platform is right?

Book a 45-minute architecture review with a TECKVENTUS AI lead and get a tailored partner + stack recommendation.