AI Engineering  ·  Based in Europe

We build AI
that works
in production.

Not just in demos.

Our team turns AI from a concept into a shipped product — covering the full stack from ML models and search engines to the backend infrastructure that keeps them running at scale.

Start a Project → See Our Work ↓
cydra · production

semantic-search --corpus influencers --size 400M

Elasticsearch + LLM hybrid · dense retrieval

Query avg 240ms · 35% client adoption

lookalike-engine.fit(brand_target)

Embedding similarity · behavioral analysis

Deployed · 20% of platform clients active

classify --model demographic --records 100M

GPT-labeled training data · TensorFlow pipeline

Country acc 80% · Age/gender MAE 8.5%

git push origin production

Building microservices · RabbitMQ · Docker

Deployed · 0 errors · 0 downtime

▌

400M+ Records processed
98% Classification accuracy
3× Faster query performance
0 Account managers

What we actually build

No account managers. No handoffs. You talk directly to the engineers writing the code — from first call to production deploy.

◈

AI & Data

Semantic search, matching engines, classification, embedding pipelines, LLM integration. Built and running across hundreds of millions of records.

  • Semantic & vector search (Elasticsearch, dense retrieval)
  • Embedding similarity & lookalike engines
  • LLM integration, RAG pipelines, fine-tuning
  • Classification & demographic prediction models
  • Data enrichment & automated ETL at scale
⬡

Engineering & Infrastructure

Microservices, APIs, cloud architecture, CI/CD. Production systems designed to scale.

  • Microservices architecture & RESTful APIs
  • Message queues (RabbitMQ) & async pipelines
  • Cloud infrastructure (Azure, Docker, Nginx)
  • CI/CD pipelines & DevOps automation
  • Authentication (OAuth/OIDC, Identity Server)
01

Semantic Search

Elasticsearch + LLM hybrid retrieval. We've run this at 400M+ records with sub-second query times. Not a proof of concept.

02

Matching & Similarity

Embedding-based lookalike engines and behavioral vector search. Built and used in production by real paying clients.

03

LLM Integration & RAG

Production LLM pipelines, retrieval-augmented generation, OpenAI and HuggingFace model integration — shipped, not demoed.

04

Microservices & APIs

ASP.NET Core, Node.js, Python — with async message queues, transactional outbox patterns, and Identity Server auth baked in.

05

Data Pipelines & MLOps

Automated Prefect/ETL workflows and classification pipelines running continuously across 100M+ records. Zero babysitting needed.

06

Cloud & DevOps

Docker, Azure DevOps CI/CD, Nginx — infrastructure tuned to not wake anyone up at 3am. Tested under real load.

Work That Ships

Real systems, real scale, real clients — not proofs of concept collecting dust.

AI Search Influencers.club

AI Semantic Search Across 400M+ Records

Built production AI search system combining Elasticsearch with LLM-powered semantic understanding. Handles complex natural language queries across 400M+ influencer profiles with sub-second response times and full relevance ranking.

Elasticsearch LLMs Python MongoDB Semantic Search
35% client adoption within months of launch
Similarity Engine Influencers.club

Audience Lookalikes & Embedding Similarity Engine

Deployed an embedding-based lookalike feature using vector similarity and behavioral analysis. Identifies matching influencer audiences at scale — enabling brands to find their perfect creator match across millions of profiles.

Embeddings Vector Search Behavioral Analysis Python
20% of platform clients actively using the feature
Government Data Platform UNICEF / Swedish Gov.

Environmental Data Platform — Lake Ohrid

Led development of a mobile-first interactive mapping and data-visualization application for the Hydrobiological Institute of Ohrid — funded by UNICEF and the Swedish Government. Delivered on schedule, live in production.

Next.js SQLite Leaflet.js Interactive Maps
View Live ↗ Live in Production
Adaptive Learning Platform AdaptlyLearn

AI-Powered Adaptive Learning Platform

Built a scalable platform that transforms any book into personalized learning experiences. AI extracts key concepts, generates adaptive quizzes that adjust to each learner's level, and provides real-time explanations. Includes teacher/employer dashboards for tracking progress and identifying struggling students.

ASP.NET Core Next.js SignalR RabbitMQ OpenAI GPT-4 ChromaDB Docker
View Live ↗ Live in Production
ML Prediction Model Influencers.club

Demographic Prediction Model at Scale

Trained a multi-label demographic prediction system using GPT-labeled training data. Classifies age, gender, and country across millions of creator profiles — with production enrichment pipelines running continuously on new data.

TensorFlow GPT Labels Python Prefect Classification
80% accuracy on country · 8.5% MAE on age/gender
Let's Build Something

Ready to ship AI that actually works?

Tell us about your project. We'll get back to you within 24 hours — no sales calls, straight to a technical conversation.

Or reach us directly: ivan@cydra-solutions.com ·
Services Work Contact Start a Project