DemoniX Labs
All Services
Agentic AI

AI that thinks, plans,
and executes.

We build autonomous AI agents that go beyond simple automation — they reason, use tools, maintain context across sessions, and complete complex multi-step goals with minimal human intervention.

What We Do

Core capabilities

Autonomous task agents

Autonomous

Agents that receive a high-level goal, break it into steps, call tools, adapt to failures, and deliver a result — without step-by-step instructions.

Multi-agent systems

Multi-agent

Orchestrator-worker architectures where specialized agents collaborate on tasks too complex for a single agent — research, writing, coding, review.

Long-term memory & context

Memory

Agents with persistent memory across sessions — vector stores, episodic memory, and context retrieval that lets agents learn from past interactions.

Code & software agents

Code Agent

Agents that write, review, debug, and test code. Software copilots that can be integrated into your development workflow as a force multiplier.

Deliverables

What you get

  • Custom autonomous agent architecture
  • Tool integration (search, APIs, code execution)
  • Memory and context management system
  • Multi-agent coordination framework
  • Evaluation and reliability testing suite
  • Monitoring and observability setup
  • Human-in-the-loop escalation logic
  • Agent deployment and scaling infrastructure
Our Process

How we work

01
Agent design & capability mapping

We define what the agent needs to accomplish, what tools it needs access to, and where human oversight is required.

02
Prototype with real tasks

We build and test against your actual tasks early — agentic systems need real-world friction to be designed correctly.

03
Reliability & evals

We run structured evaluation suites and edge-case testing to ensure consistent, trustworthy agent behavior.

04
Deploy & monitor

We deploy with full tracing and observability so you can see every decision the agent makes in production.

Tech Stack

Tools & technologies

LangChain / LangGraphAutoGenCrewAIOpenAI Assistants APIAnthropic Tool UsePinecone / QdrantPythonFastAPIRedis (memory)Browser automationCode interpretersFunction callingRAG pipelinesObservability tools
Use Cases

Who this is for

Research & analysis agents

Research

Agents that autonomously search, read, synthesize, and report on complex topics — in minutes, not hours.

Software development copilot

Engineering

Agents integrated into your dev workflow that write code, open PRs, run tests, and suggest architectural improvements.

Customer-facing AI assistant

Customer Success

Intelligent agents that handle complex customer queries, retrieve context, take actions, and escalate intelligently.

Ready to deploy your first AI agent?

Tell us what you're building — we'll scope it and get started.