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AIAgenticDevelopment

The next wave of software isn't just intelligent — it acts. We build AI agents that plan, reason, use tools, and self-correct across multi-step workflows. From a single-model assistant to a full multi-agent orchestration system, we engineer AI that does the work.

01 — What we build

Whatwebuild.

Agents are not chatbots. They complete goals, not just conversations.

Autonomous Agents

Goal-driven agents that break tasks into subtasks, select the right tools, execute, evaluate results, and retry on failure — without human hand-holding.

LangGraphClaudeTool Use

Multi-Agent Systems

Orchestrator-worker architectures where specialised agents collaborate: one researches, one writes, one fact-checks, one publishes.

Multi-agentLangGraphOrchestration

RAG-Powered Assistants

Retrieval-Augmented Generation systems that answer questions from your internal knowledge base — contracts, manuals, policies — with source citations.

RAGVector DBEmbeddings

AI-Native Workflows

Business processes rebuilt around AI: lead qualification, content generation pipelines, support triage, and financial analysis — all automated.

n8nLangChainClaude API

Computer-Use Agents

Agents that navigate web browsers, fill forms, extract data, and perform tasks that previously required a human at a keyboard.

Computer UsePlaywrightBrowser

Model Context Protocol

MCP servers that give your AI agents secure, structured access to your databases, APIs, and internal tools — the new standard for agent integrations.

MCPAnthropicTool Servers
02 — The engineering stack

Theengineeringstack.

We build on battle-tested primitives, not demos.

LangGraph & LangChain

State machines for complex agentic workflows. Cycles, branches, human-in-the-loop checkpoints, and persistent memory across sessions.

LangGraphLangChainPython

Claude & OpenAI APIs

We're model-agnostic and select the right model for each task — Claude 4 for reasoning, Haiku for speed, GPT-4o for vision tasks.

ClaudeGPT-4oGemini

Vector Databases

Pinecone, Weaviate, or pgvector for storing and retrieving embeddings at scale with sub-100ms latency.

PineconeWeaviatepgvector

Evals & Monitoring

Systematic evaluation pipelines to measure agent accuracy, hallucination rates, and task completion — so you can iterate with confidence.

EvalsLangSmithMonitoring
Frequently asked

Questions,answered.

Ready to start?

Let's talk about your project.

We'll ask the right questions, scope it honestly, and tell you exactly what it takes to hit your goal — before you commit to anything.

Email usWhatsApp us

We reply within one business day.