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Capabilities

The engineering behindgoverned, connected AI.

Architecture examples, AI agent governance, model integrations and the wider engineering expertise TechnyX brings to custom AI systems.

01

Agent orchestration

Coordinating multiple specialised AI agents, the tasks they share and the checkpoints between them.

  • Multi-agent workflows
  • Review checkpoints
  • Shared tasks & specifications

02

Governance & control

A layer between people, agents and models that evaluates policy, checks access and records activity.

  • Policy evaluation
  • Role-based access
  • Prompt & response checks
  • Usage monitoring

03

Model integration

Integrating, adapting, evaluating and deploying language models inside the systems a business already runs.

  • Model routing
  • Evaluation
  • System integration

04

Security & data

Access control, monitoring and responsible handling of sensitive data across AI-powered operations.

  • Access control
  • Sensitive data handling
  • Risk-reduction safeguards

Engineering capabilities

Intelligence,engineered for control.

From multi-agent orchestration to governed model access, we build the infrastructure that helps organizations operate AI systems with greater visibility and control.

AI agents & teams

  • Support agent
  • Finance team
  • Engineering copilot
  • Operations agent

Governance & orchestration

  • Model routing
  • Policy evaluation
  • Role-based access
  • Prompt & response checks
  • Sensitive data handling
  • Usage monitoring
  • Shared tasks & specifications

Approved models & tools

  • General-purpose model
  • Private model
  • Code model
  • Knowledge base
  • CRM & ticketing
Simulated demonstration — no data is processed

See a governed request, step by step.

Choose an example task to see how a governance layer can evaluate, route and record an AI request.

Example task
actor: Legal teamstatus: ready
  1. 1

    Request received

  2. 2

    Policy evaluated

  3. 3

    Model selected

  4. 4

    Tool access checked

  5. 5

    Response returned

  6. 6

    Activity recorded

Select a task and run the simulation.

Applications

Built for the waybusinesses operate.

Illustrative examples of what can be built. These are possible implementations, not customer case studies.

Example 01

Enterprise Knowledge Assistant

Give authorized teams access to organizational knowledge through a custom AI assistant.

Example 02

Intelligent Document Workflows

Extract, classify, review, and route information across operational processes.

Example 03

Multi-Agent Operations

Coordinate specialized AI agents to execute complex workflows with review checkpoints.

Example 04

AI Development & Project Coordination

Connect AI coding assistants, shared project specifications, and task management.

Additional expertise

Supporting engineering, beyond core AI systems.

  • 01Conversational AI
  • 02API Development & Integration
  • 03Computer Vision
  • 04Robotics & Prototyping
  • 05RFID & QR Tracking Systems
  • 06Intelligent Enterprise Software

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