Custom AI Agents for Business Built and Integrated with Your Systems
Not another platform to configure, but a team that delivers agents in production.
Why companies build their AI agents with HitOcean
Agents designed around your process, not a template
Generic agents force your team to adapt to the tool. We start from the workflow you want to automate, the data it depends on and the decisions it should never make alone. From there we pick the right models and architecture, whether that is a customer-facing assistant, an internal agent for operations or a multi-step automation. It is the same approach behind our generative AI development services, applied to agents that act, not just answer.
Integrated with the systems you already have
An agent is only as useful as the systems it can reach. Our engineers build the integrations, APIs and data pipelines that let your agent read, write and trigger actions safely inside your stack. This is where most agent projects fail and where our background in custom software development makes the difference: we build the agent and the software around it.
From diagnosis to production in clear stages
No open-ended research projects. Our process moves through six stages: context and objectives, data collection, architecture design, MVP in production, roadmap and governance, and measurement and improvement. You get a working agent on a real process early, with indicators that show whether it is delivering. If you are still deciding where agents fit, start with our AI consulting diagnosis.
Security and a team that stays
Agents touch sensitive data, so security is part of the design, backed by our in-house security services unit. And when the agent is live, you don't lose the people who built it: we can keep evolving it with tech teams with AI that work as an extension of yours.
AI agents that do real work, not demos
- Most companies exploring AI agents hit the same wall. Off-the-shelf agent builders look great in a demo, then stall the moment they need to read from your database, respect your permissions or hand off to a human. The result is a pilot nobody uses and a team that is skeptical of the next one.
- HitOcean is not an agent platform and we don't sell licenses. We are a software development company that builds custom AI agents for business: systems that analyze information, make decisions within the rules you define and coordinate actions across your tools. We have already shipped them in production, like the CX Agent we built for Seidor with LLMs, LangChain, Python, PostgreSQL and AWS, which lets their customers access critical information instantly.
- You don't have to bet on a big-bang project to find out if it works. Every engagement starts with a diagnosis and moves to an MVP running in production, so you see value on real processes before you scale. And because our AI consulting team is the same team that builds, the plan you approve is the plan that ships. See our AI consulting
Built by a team with AI already in production
We have shipped AI where it has to work every day: a CX Agent that gives Seidor's customers instant access to critical information, a conversational platform for Miinta, and an AI assistant inside BeValk's digital security platform, launched in 3 months. See the details in our case studies.
See our case studies
Clients in USA, Canada, Mexico, Argentina, Spain, Portugal and more
US 
CA 
MX 
AR 
ES 
PT What our clients say
Thanks to HitOcean, our clients can access critical information instantly. The experience is smoother, more efficient and closer.
SeidorHitOcean's expertise in AI and its frictionless development process helped us create an intuitive and powerful conversational platform.
MiintaThe implementation with HitOcean improved our ability to anticipate critical events and prioritize with real data.
Geopark
Seidor 
Geopark 
Miinta Frequently asked questions about AI agents
01 What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent performs tasks autonomously within defined workflows: it analyzes information, makes decisions under the parameters you set and coordinates actions across different systems. Many of our projects combine both, with a conversational layer on top of an agent that actually gets work done. Not sure which one you need? Tell us about your process.
02 Should we use an agent platform or build a custom AI agent?
If your use case is simple and lives inside one tool, a platform can be enough. A custom agent makes sense when it needs to work with your own data and systems, follow business rules a template can't express, or meet security requirements you can't hand to a third party. In the free AI agent assessment we tell you honestly which path fits your case.
03 How long does it take to get an AI agent into production?
It depends on the process and on how ready your data and integrations are. Our process is designed to reach an MVP in production early instead of spending months on research, and we have launched AI-powered products in as little as 3 months, as with BeValk. Book a free AI agent assessment and after the first conversation we can send you a proposal within 48 hours.
04 What if our data is not ready?
That is common, and it is why data collection is its own stage in our AI consulting process. We review what you have, what is missing and what the agent really needs to work, and we include that work in the plan instead of discovering it halfway through the project. Share where your data stands and we will tell you what is missing.
05 How do you keep AI agents secure and under control?
We define from the start what the agent can do on its own and what needs human approval, and we build monitoring and indicators so you can see what it is doing. Security is reviewed with our in-house cybersecurity team, so access, data handling and integrations are designed with the same standards we apply to the rest of your software. Want to see how it would work on your process? Book a free AI agent assessment.
Find out where an AI agent can pay off first
In a free assessment we review one process with your team, tell you whether an agent is the right fit, and outline what an MVP in production would take. No commitment, and you keep the diagnosis either way.
Book a free AI agent assessment