Aviga
🤖

Custom AI built into
your product.

We integrate LLMs, RAG pipelines, and AI agents into your startup — using OpenAI, Anthropic, and open-source models. From copilot features to full AI automation pipelines.

What we build

RAG Pipelines

Retrieval-Augmented Generation for document search, customer support bots, and knowledge bases. Connect your data to any LLM.

LLM Fine-Tuning

Fine-tune GPT, Claude, Llama, or Mistral on your domain data for higher accuracy and reduced cost per query.

AI Agents

Autonomous agents that plan, use tools, and complete multi-step tasks — from customer service to data processing pipelines.

Copilot Features

In-product AI assistants that help users write, generate, analyze, and take action — built into your existing or new product.

Embedding & Search

Semantic search, recommendation engines, and similarity matching powered by vector databases (Pinecone, Weaviate, pgvector).

AI Automation

Automate manual workflows with AI — document extraction, classification, data enrichment, and business process automation.

Best model for your use case

We don't push one model. We evaluate your requirements and recommend the right combination of models for quality, speed, and cost.

OpenAI
GPT-4o, GPT-4 Turbo, GPT-3.5
Anthropic
Claude 3.5 Sonnet, Claude 3 Opus
Google
Gemini 1.5 Pro, Gemini Flash
Meta / Open-Source
Llama 3, Mistral 7B, Mixtral
Embedding Models
text-embedding-3, Cohere, BGE
Vector Databases
Pinecone, Weaviate, pgvector

AI Integration FAQ

We work with OpenAI (GPT-4o, GPT-4), Anthropic (Claude 3.5), Google (Gemini), and open-source models (Llama 3, Mistral, Falcon). We recommend the right model based on your use case, latency requirements, and cost constraints.

RAG (Retrieval-Augmented Generation) connects an LLM to your own data — documents, database records, or knowledge bases — so the AI answers questions using your specific information rather than generic training data. You need RAG when you want an AI that knows about your product, company, or domain.

AI API costs vary significantly by model, usage volume, and feature complexity. We help you estimate your cost per query during planning, and design systems that minimize API costs through caching, prompt optimization, and model selection.

Yes — we can add AI capabilities to any existing product, regardless of the stack. We expose AI functionality through APIs that your existing frontend can call, or we can modify the frontend directly if needed.

We design AI systems with privacy-first principles — data encryption, minimal data retention, and using on-premise or private-hosted models for sensitive data. For EU clients, we ensure GDPR compliance. For health data, we consider HIPAA requirements.

Ready to add AI to your product?

Tell us what you want to automate or enhance. We'll design an AI solution that fits your product and budget.