01
Custom AI Agents
We build autonomous AI agents tailored to your business — agents that research, decide, and act across your tools, APIs, and data without manual intervention.
AI Agents · LLMs · Azure & AWS
AI that works inside your business.
Agents, LLMs and voice assistants connected to your own data and tools — built to automate real decisions, workflows and operations.
Built on
The most advanced LLMs and AI platforms — chosen per use case, not per vendor.
- Anthropic ClaudeModel
- OpenAI GPTModel
- Google GeminiModel
- MistralModel
- Meta LlamaModel
- Azure AI FoundryPlatform
- AWS BedrockPlatform
- Azure OpenAIPlatform
- Model Context ProtocolAgents
- Semantic KernelAgents
- LangGraphAgents
- Azure AI SearchRetrieval
- PineconeRetrieval
What we build
Four capabilities. One integrated system.
02
LLM Integration & RAG
We embed large language models into your products and internal tools — connected to your own data via RAG so every answer is accurate, private, and on-brand.
03
AI Workflow Automation
We replace manual processes with multi-agent pipelines — from document processing and approvals to reporting and customer interactions, fully automated end-to-end.
04
Realtime Voice AI
We let people talk to their business systems — ask a question out loud, get an answer in seconds, and have the agent look things up or take the next step, securely inside your cloud.
Featured · Realtime Voice AI
Beyond chat. Talk to your business systems.
Ask a question out loud, get an answer in seconds, and let the agent look things up or take the next step — connected to your data, running securely inside your cloud, with every action logged.
- Low-latency speech-to-speech
- Connected to your agents & RAG
- Confirmation before any action
NativeCloud VoiceReady
Interactive demoTry: “Which invoices are still open for Alpine Logistics?”
Tap the microphone to try the browser voice demo.
What's included
The full AI stack, end to end.
From the first agent to production observability — one team designs, builds and runs it.
- Agents
Custom AI Agents
Autonomous agents that monitor, decide, and act — integrated with your tools via MCP, Semantic Kernel or LangGraph, deployed on Azure AI Foundry or AWS Bedrock.
- RAG
Retrieval-Augmented Generation
RAG pipelines over your documents, SharePoint, or Confluence — accurate, cited answers with hallucination dramatically reduced.
- LLMs
LLM Integration & Fine-Tuning
Claude, GPT, Gemini, Mistral or open-weight Llama — we select, fine-tune, and integrate the right model for your use case and data-residency requirements.
- Automation
AI Workflow Automation
Multi-agent pipelines that trigger on events, process with AI, and push results where your team already works — email, Slack, ERP, CRM.
- Knowledge
Knowledge Base AI
Turn internal documentation, support tickets, and tribal knowledge into a searchable, AI-powered source of truth for every team member.
- Voice
Realtime Voice AI
Low-latency speech-to-speech assistants connected to your agents and data — for hands-free lookups, service desks, and daily workflows, with every action logged.
- Ops
Evaluation & Observability
Every deployment includes accuracy benchmarks, latency monitoring, and feedback loops so your AI keeps performing in production.
Why AI agents?
The difference between AI as a demo and AI as a business asset is integration.
Agents connected to your real data, systems, and workflows create compounding value every month — not a one-time bump.
For whom?
If your team does repetitive knowledge work, there is an agent for it.
Operations teams drowning in manual processing. Finance chasing approvals. Legal reviewing contracts. Support repeating answers.
How we work
From discovery to production in weeks — not months.
01
Use-Case Discovery
We map your highest-value automation opportunities — interviewing stakeholders, auditing workflows, and pinpointing where AI agents will create measurable, lasting impact.
02
Architecture & Data Design
We design the agent architecture, RAG pipeline, and data connectors — selecting the right LLM, vector store, and orchestration layer for your compliance and latency requirements.
03
Build & Integrate
We build and deploy the agents, wiring them to your tools, SharePoint, APIs, or databases — with monitoring and observability configured from the first commit.
04
Evaluate & Tune
Accuracy benchmarks, hallucination testing, and latency profiling before go-live. Every metric is measured and reviewed with your team before anyone touches production.
05
Ship & Scale
Production deployment with feedback loops, retraining hooks, and an escalation path. We start with one high-value agent and expand from there — systematically.
Services
AI & Data
Products
Not sure where to start?
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Ready to put AI to work?
Book a free consultation. We'll pinpoint your highest-value automation and outline a path to production — no obligation.
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