SERVICE / AI-AGENTS-LLMS

AI Agents & LLMs

Blaron builds custom AI agents, RAG knowledge chatbots, and LLM integrations that work inside the tools you already use. Each deployment includes retrieval over your own data, domain and brand customization, and safety guardrails with monitoring.

Capabilities

  1. 01

    AI Agent Workflows

    Agents that can call your internal/external APIs (CRM, shipping, payments, dashboards), execute structured actions, and return verified results, using a tool-calling loop that keeps control on your backend.

  2. 02

    RAG Knowledge Chatbots

    Private assistants that answer using your PDFs, docs, SOPs, tickets, and databases, via Retrieval-Augmented Generation (RAG): retrieve relevant sources, feed them to the model, then respond with grounded context.

  3. 03

    Vector Search & Retrieval

    Build semantic search for websites, e-commerce catalogs, knowledge bases, and internal tools using embeddings + vector stores (better than keyword-only search).

  4. 04

    AI Assistants Inside Your Apps

    Embed LLM features directly into your web/admin panels: smart drafting, summarization, ticket triage, auto-tagging, classification, and “next best action” suggestions, tailored to your workflow.

  5. 05

    Domain & Brand Customization

    When retrieval isn’t enough, we customize outputs to match your tone, terminology, and structured formats using strong prompt systems and domain fine-tuning.

  6. 06

    Multi-Channel AI Bots

    Deploy the same AI brain across Telegram and other messaging channels so lead capture, support, and notifications work consistently across platforms, connected to your back office.

  7. 07

    Safety & Monitoring

    Guardrails, access controls, redaction rules, audit logs, and continuous evaluation so AI behavior stays reliable and business-safe, aligned with risk-management best practices.

  8. 08

    Multimodal Agents

    Voice agents and multimodal flows (text + images) for use cases like appointment booking, inbound support, and visual checks, integrated with your systems.

What we build

  • AI document processingIntelligent extraction, classification, and routing from messy documents (invoices, contracts, forms) straight into your systems.
  • Multi-agent systemsA director model assigning specialist agents that cross-check each other in real time, for research and tasks too big for a single prompt.
  • Custom AI agent developmentA bespoke agent designed around one workflow end to end, with the tool access, guardrails, and evals to run it safely in production.

How we work

A tight loop from description to running system. You always know the scope, the timeline, and what you get back.

01

Describe

Tell us the process that eats your team's time, in plain language. The inquiry assistant shapes it into a structured brief while you type.

02

Scope

We translate the brief into a fixed scope with a clear timeline and a confirmed estimate. No open-ended retainers, no surprises.

03

Build

We write the system from the ground up and ship in focused milestones, with async updates and live checkpoints in your working hours.

04

Run

The system goes live on infrastructure you control, documented and monitored. You get back the hours it was built to reclaim.

Frequently asked questions

Which LLM providers do you work with?

We integrate with OpenAI, Anthropic Claude, Google Gemini, open-source models (Llama, Mistral), and custom fine-tuned models. We choose based on your cost, latency, and privacy requirements.

Is our data safe with AI integration?

Yes. We deploy RAG systems within your own infrastructure when needed. No customer data is sent to third-party APIs unless you explicitly approve it. We implement access controls, redaction, and audit logs.

What's the difference between a chatbot and an AI agent?

A chatbot answers questions from a knowledge base. An AI agent can take actions: calling APIs, updating databases, triggering workflows, and making decisions within rules you define.

Related work

Ready to put AI Agents & LLMs to work?

Agentic systems, RAG, and domain fine-tuned models for teams securely.

Start a project