AI-enabled products and SaaS
Customer-facing software with useful AI features built into the product experience, data model and operating workflow.
/ ai product engineering
AI product development from prototype to production.
Simatech builds AI-enabled software products for companies that need a working customer experience, not an isolated model demo.
Does Simatech build AI products?
Yes. Simatech OOD is a Bulgarian software engineering company that builds AI-enabled products and engineering solutions, including GenAI, RAG, GraphRAG, agentic AI, MCP-based integrations, AI automation and AI-assisted product development. We work with CTOs, product leaders and businesses moving a validated idea or workflow into usable software.
/ what we build
A complete AI product team, focused on delivery.
The team can take responsibility for the product surface, AI engineering, data and retrieval, integrations, evaluation, deployment and the path into production.
RAG, GraphRAG and intelligent retrieval
Grounded answers over business data using vector retrieval, knowledge graphs, evaluation and source-aware responses.
AI agents and automation
Agentic workflows, MCP servers, tool use, human checkpoints and integrations with the systems your teams already use.
AI prototypes and MVPs
Working prototypes on real data that test the product case, technical risk, quality, latency and operating cost.
/ from idea to scale
One practical product path.
- 01
Idea
Frame the business problem, user need, data and success criteria.
- 02
AI prototype
Validate the riskiest workflow with a working build and evaluation baseline.
- 03
Product
Engineer the customer-facing application, integrations, controls and production platform.
- 04
Scale
Improve automation, analytics, reliability, cost and ongoing delivery.
/ timing and cost
Start at the level the risk requires.
A one-week scoping sprint is EUR 8k. A two-week AI prototype sprint is EUR 18k. A two-week full delivery sprint is EUR 32k. Scope, assumptions and the build path are made explicit before production work begins.
From prototype to production
Prototype work measures answer quality, latency, operating cost and technical risk. Production work adds evaluation harnesses, guardrails, observability, secure tool access, human review where needed, deployment and ongoing LLMOps.
Lovable Certified Partner. Simatech combines product engineering expertise with modern AI-assisted development workflows. Lovable is a verified capability within a wider stack of models, orchestration, retrieval, data and platform technologies.
/ technologies and approaches
The stack behind the product.
LLMs & Models
- OpenAI
- Anthropic Claude
- Google Gemini
- Llama 3
- Mistral
- Hugging Face
Orchestration & Agents
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
- Semantic Kernel
Agent Protocols & Interop
- MCP (Model Context Protocol)
- Custom MCP servers
- Tool-use & function calling
- A2A
- OpenAPI tools
- JSON-RPC
Knowledge Graphs
- Neo4j
- GraphRAG
- Cypher
- Apache AGE
- RDF / SPARQL
- Memgraph
Vector & Retrieval
- Pinecone
- Weaviate
- Qdrant
- Milvus
- pgvector
- Elasticsearch
MLOps & Experimentation
- MLflow
- Weights & Biases
- OneLab
- Kubeflow
- Ray
- Airflow
Inference & Platform
- NVIDIA Triton
- vLLM
- Ollama
- Kubernetes
- Terraform
- GitHub Actions