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Custom AI Agents

We build custom AI agents—not generic chatbots—connected to your data and tools. RAG over your documentation, function calling to execute real actions (create a lead, schedule a meeting, check stock), integration with your CRM, WhatsApp, or Telegram, and guardrails to prevent hallucinations. Multi-provider rotation (Groq, Mistral, Cohere, and more) to avoid vendor lock-in and control costs.

Datos del sector

El mercado global de agentes de IA pasará de US$5.400 millones en 2024 a US$50.310 millones en 2030 (CAGR 45,8%)

Una sola fuente por vertical para no contradecirse (otras firmas dan cifras distintas).

What's included

Deliverables

AI agent connected to your knowledge base (RAG)
Function calling: the agent executes actions in your systems
Integration with CRM, WhatsApp, Telegram, or your website
Guardrails and source citation to prevent hallucinations
Multi-provider rotation (Groq/Mistral/Cohere) for cost and uptime
Conversation dashboard, evaluation, and continuous improvement
Tech Stack
Next.jsNode.jsRAGVector DBGroqMistralCohere
How we do it

Process

01

Use case

We define which tasks the agent should solve and with what data.

02

Knowledge

We set up RAG over your documentation and connect your tools.

03

Actions

We enable function calling so it operates, not just responds.

04

Evaluation

We measure quality, implement guardrails, and iterate.

By location

Custom AI Agentsby city

Frequently asked questions

FAQ

How is this different from a regular chatbot?

A chatbot responds with scripts; an agent reasons, consults your real data (RAG), and executes actions (create a lead, schedule a meeting, check stock) via function calling. It resolves problems, not just converses.

Are my data exposed to the model?

We use RAG: the model only receives the necessary fragment to respond, not your entire database. We can work with providers that enforce non-training policies and, in sensitive cases, use self-hosted models.

Am I locked into OpenAI or a single provider?

No. We use multi-provider rotation (Groq, Mistral, Cohere, and others) to control cost, latency, and availability without depending on one vendor.

How do you prevent the agent from hallucinating?

With guardrails, source citation, and an evaluation layer that measures responses. If the agent lacks the data, it acknowledges it or escalates to a human instead of making things up.

Have an idea? Let's make it real.

No strings attached. Just an honest conversation about your project.