Ship AI Agents That Do Real Work
Our AI agent development services build autonomous, tool-using agents — not chatbots. We engineer agents that plan, call your APIs, retrieve from your data, and complete multi-step workflows end to end, with guardrails and human-in-the-loop checks so they stay safe in production.
Trusted by innovative teams worldwide
AI Agents Built for Production, Not Demos
Anyone can wire up a prompt. We engineer the architecture, retrieval, tool integration, and safety layers that let an agent run unattended against real business systems.
Agent Architecture & Orchestration
We design the agent's reasoning loop and orchestrate single or multi-agent systems using LangGraph and LangChain — so a planner agent can delegate to specialist agents and recover gracefully when a step fails.
RAG & Knowledge Retrieval
RAG (Retrieval-Augmented Generation) lets an agent pull facts from your documents and databases instead of guessing. We build the embedding, vector search, and chunking pipelines that keep answers grounded and current.
Tool & Function Calling
We give agents real capabilities by wiring tool and function calling to your APIs, databases, and SaaS tools — so an agent can create a ticket, issue a refund, or update a CRM record, not just talk about it.
Memory & Context Management
Short-term scratchpads, long-term vector memory, and context windowing that let agents remember prior steps, user history, and prior decisions across a session or across days without blowing the token budget.
Guardrails & Evals
We build input/output guardrails, allowed-action policies, and automated eval suites that score accuracy, hallucination rate, and tool-call correctness on every change — so you catch regressions before users do.
Human-in-the-Loop Workflows
For high-stakes actions, we add approval gates, confidence thresholds, and escalation paths so a human reviews or signs off before the agent commits an irreversible step like a payment or data deletion.
Have a Workflow Worth Automating? Let's Prototype It.
Book a free 30-minute scoping call — we'll map your workflow to an agent design and tell you honestly whether an agent is the right tool.
An AI agent is software that takes actions — so we build it like software.
We treat agents as production systems with versioning, evals, observability, and rollback — not as a clever prompt you ship and hope for the best. That discipline is what keeps an agent trustworthy past the demo.
Agent Engineering Grounded in Reality
At OpenMalo, agent development isn't a prompt-engineering experiment — it's disciplined software engineering applied to non-deterministic systems, with the safety rails enterprises actually need.
Why Teams Choose Us for AI Agent Development
We build agents that survive contact with real users, messy data, and edge cases — and we are upfront when a simpler tool would serve you better.
Tell Us About the Workflow You Want to Automate
Share the task and the systems involved — our agent engineers will respond within 24 hours with an initial design direction and a rough scope.
Our Engagement Process
Discovery & Feasibility
We map the target workflow, the tools and data the agent needs, the failure costs, and where a human must stay in the loop — then tell you honestly whether an agent is the right fit.
Agent Design
Reasoning loop, single vs multi-agent topology, tool and API contracts, retrieval (RAG) strategy, memory model, and guardrail policy — documented and reviewed before we build.
Build & Evaluate
We build the agent in short iterations against a real eval set, wiring tool calling, retrieval, and memory while measuring accuracy and tool-call correctness on every change.
Hardening & Guardrails
Prompt-injection defenses, output validation, rate limits, cost caps, human approval gates, and red-team testing before any agent touches a production system.
Deploy & Monitor
Staged rollout with tracing, cost dashboards, and drift alerts (LLMOps), plus a 6-month support window for tuning prompts, evals, and tools as real usage comes in.
Insights from
Our Consultants
Frequently Asked Questions
A chatbot answers questions in text. An AI agent takes actions — it plans a multi-step task, calls tools and APIs, retrieves data, and completes the work, often with little human input. Our AI agent development services build this action-taking kind: agents that issue refunds, update records, or run workflows, not just reply with words.
