Slova Applications · est. 2018 · data engineering
Slova Applications designs and builds the systems behind data-driven businesses: large-scale web scraping, machine learning pipelines, APIs, and the cloud infrastructure that keeps them fast, reliable, and cheap to run. We build with AI tools from day one. Faster iteration, quicker feedback, more time on the hard problems.
§ 1 What we do
From raw, messy sources to production APIs. We design and run the whole pipeline.
APIs designed for real traffic: versioned, observable, and cheap to operate. The systems behind api.slova.app run on serverless AWS and scale to zero when idle.
Collection and normalization of messy external data that keeps running. From 8M+ websites a week for GrowFlare to daily price feeds for perframe.app.
Predictive models and LLM-powered features that made it into production: buyer identification, classification systems, and natural-language query over structured data.
AWS architecture with Terraform, Docker, ECS, and GitHub Actions. Reproducible, version-controlled, and boring in the best way.
From idea to acquisition in two years at GrowFlare. We take concepts to production-ready platforms that customers pay for.
Architecture decisions, hiring support, and the judgment that only comes from shipping. Available as embedded team member or advisor.
Latest project · Live
A price-comparison engine for photographic film that normalizes single rolls, pro packs, sheet film, and 100ft bulk into one honest number: cost per frame.
§ 3 Selected work
Systems built for the work, and the outcomes they produced.
Technical co-founder role building an AI-driven SaaS platform from idea to acquisition, achieving 53x return in two years through web scraping, machine learning, and AWS infrastructure.
An 8-year engagement with DSG for the Department of State, delivering database architecture, ML classification systems, and an AI chatbot powered by OpenAI's LLM models for terrorism data analysis.
How we helped a strategic consulting firm deploy their machine learning classifier to AWS, creating an automated system that instantly assesses client needs and transforms their prospecting process.
Correspondence invited
We like the messy ones: scraping at scale, pipelines that can't go down, ML that has to earn its keep.
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