Data Pipelines & Analytics
We build data pipelines that ingest, classify, and analyze at scale. LLM-assisted classification, vector-based similarity search, structured analytics, and dashboards your team actually uses.
Overview
Enterprise data pipelines no longer need to be hand-coded ETL jobs. We build hybrid pipelines that combine traditional data engineering with LLM-assisted classification, semantic search, and AI-generated insights.
Why choose this service
LLMs classify, categorize, and score records that rule-based systems miss.
Vector embeddings so your data is queryable by meaning, not just exact match.
Dashboards, scheduled reports, and PDF/Excel exports integrated with your existing BI tools.
Async processing, queues, and cloud-native architecture that grows from 10k to 10M records without rewrites.
How we work
Where does data live, what formats, and what outputs does the team need?
ETL design, storage, classification strategy, and reporting surfaces.
Ship the pipeline. Test on your real data. Measure classification accuracy.
Reports, scheduled runs, alerts, and downstream integrations.
Applications
Technologies
FAQ
Both. Rules handle the deterministic part, LLMs handle fuzzy classification and edge cases.
Async workers, queues, checkpointing, and incremental processing. We've shipped pipelines for millions of records.
Explore more
Tell us about your product. We'll tell you how we'd build it, and how fast.