XenarAI Future of Intelligence
Product • AI Agents • XenarAI

AI Agents for Business
Custom copilots for your workflows.

XenarAI builds domain-specific AI agents that understand your data, tools and processes. From support copilots to automation bots and sales assistants – each agent is engineered with reliability, observability and safety in mind.

Python · Rust · C++ · OpenAI / Anthropic APIs

What XenarAI delivers

Instead of generic chatbots, XenarAI focuses on task-oriented agents tightly integrated with your stack – APIs, databases, queues and telemetry.

Types of agents

  • 🏢 Internal copilots for operations, finance, HR or IT.
  • 📨 Customer-facing support bots in chat, email or portals.
  • ⚙️ Automation agents that watch events and trigger actions 24/7.
  • 📊 Analytics & anomaly-aware agents connected to telemetry streams.

Technical architecture

Under the hood, every agent is a composition of Python orchestration, Rust/C++ performance modules and well-defined APIs – so you always know what it’s doing and why.

Python · Orchestration

Agent brain & tools

Python services (FastAPI / async workers) coordinate LLM calls, tools and business rules. The agent has access only to whitelisted tools: CRMs, ticket systems, databases, email gateways, telemetry APIs.

Rust / C++ · Performance

High-speed backends

For heavy computations and streaming workloads XenarAI uses Rust or C++: real-time scoring, anomaly detection, log processing or integration with embedded / IoT systems.

Observability · Safety

Logging & control

Every action can be logged, traced and replayed. Human-in-the-loop flows, approval steps and rate limits help keep agents safe and predictable in production environments.

How a project looks

XenarAI is a solo engineering brand – projects are built hands-on, with direct contact and a transparent roadmap.

Typical phases

  • 1. Discovery (1–2 weeks) – mapping processes, data sources, tools and expected ROI.
  • 2. Prototype (2–4 weeks) – first working agent with limited scope, tested on real data.
  • 3. Hardening (2–6 weeks) – integrations, monitoring, guardrails, documentation.
  • 4. Long-term run – improvements, new tools, optimisation based on telemetry and feedback.

Interested in an AI agent for your business?

Whether you’re in hospitality, e-commerce, SaaS or industrial tech, we can design an agent around your real workflows – not generic prompts.

Let’s talk

Reach out via the contact section on the main page and describe your current process and tools (CRMs, ticketing, internal apps). You’ll get a short proposal describing what an XenarAI agent could automate first.

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