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AI SOLUTIONS

AI Solutions

AI Solutions is an engineering service that builds end-to-end artificial intelligence systems — powered by LLMs, RAG, AI agents and voice AI — to automate your business processes.

From data preparation to model integration, from RAG retrieval to voice AI, we build the whole chain end to end; it works across customer service, operations and decision-support scenarios.

  • LLM

    Integration & agents

  • RAG

    Retrieval & documents

  • Agent

    Process automation

  • Voice AI

    STT · TTS

LLM Integration

OpenAI · Anthropic · open source.

AI Agent

Autonomous flow with tool calling.

Multi-Step Reasoning

Plan → act → observe.

How do we build LLMs and AI agents?

We integrate large language models into your workflows and build AI agents that call tools and plan over multiple steps; we work with OpenAI, Anthropic and open-source models, designing prompts and behaviour for your domain.

Embedding & Vector DB

Documents become semantic vectors.

Semantic Search

Relevant content is retrieved.

Source-Grounded Answers

Cited and up to date.

How does RAG retrieval work?

We embed your enterprise documents into a vector database, retrieve relevant content via semantic search, and ground the model's answer in those sources; this yields fresh, private, source-cited answers.

STT (Deepgram)

Speech to text, real time.

TTS (ElevenLabs)

Text to natural speech.

Voice Agent

RAG-backed, multilingual dialogue.

What does voice AI provide?

With a layer that turns speech into text (STT) and text into natural speech (TTS) we build real-time voice agents; the Deepgram · LLM · ElevenLabs pipeline runs multilingually across call, assistant and hands-free scenarios.

Image Processing

Classification and generation.

Document Extraction

OCR and smart processing.

Decision Support

Analytics and recommendation.

Vision and decision support?

We build decision-support systems with image processing/generation, classification, OCR-based document extraction and data analytics; we deliver domain-specific solutions, including bioinformatics analysis augmentation.

AI SOLUTIONS

How we work

From discovery to monitoring, we run the AI project in measurable steps.

  1. 01 · Discovery

    Needs, data and use-case analysis.

  2. 02 · Data & Prep

    Data collection, cleaning and preparation.

  3. 03 · Model & Pipeline

    Model/LLM selection, RAG and pipeline design.

  4. 04 · Integration

    API and agent integration into your systems.

  5. 05 · Evaluation

    Accuracy, safety and bias testing.

  6. 06 · Deployment & Monitoring

    Go-live, monitoring and improvement.

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SUB-TECHNOLOGIES

The AI technologies we use

We apply each technique in the right scenario.

LLM (Large Language Model)

Large language models that understand and generate text; integration with OpenAI, Anthropic and open-source models, prompt design and tool calling.

When: text generation, summarization, classification and chat-based interfaces.

RAG (Retrieval-Augmented Generation)

An architecture that grounds model answers in documents retrieved from your knowledge base; embedding, vector search and source citation.

When: enterprise questions needing fresh/private knowledge where hallucination is unacceptable.

AI Agent

Autonomous AI that calls tools, plans multiple steps and proceeds by observation; API/search/database tools.

When: multi-step workflows and process automation.

Voice AI (STT/TTS)

A layer converting speech to text (STT) and text to natural speech (TTS); real-time voice agents with Deepgram/ElevenLabs.

When: call centers, voice assistants and hands-free interfaces.

Fine-tuning

Retraining a base model on domain data to improve tone, format and task accuracy.

When: consistent domain-specific output is needed beyond prompting.

Vector Database

A database that stores embedding vectors and searches by semantic similarity; the retrieval layer of RAG.

When: semantic search and RAG-based retrieval are required.

AI SOLUTIONS

Technology & tools

The core stack we use in AI solutions.

Models

  • OpenAI · Anthropic
  • Open source (Llama, etc.)
  • Image & audio models

Frameworks & Tools

  • RAG / orchestration
  • Agent framework
  • Tool calling

Data & Vector

  • Vector database
  • Embedding
  • Document pipeline

Infrastructure & Services

  • API services
  • STT/TTS (Deepgram/ElevenLabs)
  • Monitoring & evaluation

FAQ

Frequently asked about AI solutions

Let's build your AI project from idea to production.