Services
Data & Search Solutions
Leverage the data you already have to make better decisions. We build orchestrated data pipelines, analytics-ready models, and search experiences that actually understand what your users are looking for.
9,000+
Reviews Indexed for Semantic Search
10K+
Devices Streaming Real-Time Data
Real-time
Change-Data-Capture Pipelines
What We Build
From raw data to answers your team and your users can act on.
Data Pipelines & Orchestration
Reliable, observable pipelines built with Dagster and Prefect — scheduled or event-driven, with retries, backfills, and lineage you can actually inspect.
Transformations with dbt
Analytics-ready models built in dbt — version-controlled SQL, tested assumptions, and documented lineage so everyone trusts the same numbers.
Search & Relevance Engineering
Production search on Elasticsearch — analyzers, synonyms, faceting, and relevance tuning that moves the right results to the top.
Capabilities
Pipelines and indexes are easy to stand up and hard to keep trustworthy. These are the disciplines that keep them that way.
Data Quality & Observability
Tests, freshness checks, and alerting wired into every pipeline — so you find out about a broken load before your stakeholders do.
Relevance Tuning & Evaluation
We measure search quality against real queries and judgement sets, then tune analyzers, boosts, and ranking against that baseline instead of guesswork.
Scalable Data Architecture
Separating operational and analytical workloads, choosing the right store per workload, and keeping infrastructure costs proportional to the value returned.
Use cases
Search that understands intent
Hybrid semantic search across catalogs and reviews — matching technical specs and subjective preferences alike, so shoppers find products faster.
Learn moreMake archives discoverable
Digitize, process, and index large document and magazine collections into a searchable digital asset library.
Learn moreTime-series at scale
Ingest sensor and device streams into time-series stores and surface them in real-time analytics dashboards.
Learn moreUnblock slow reporting
Move reporting off your production database with CDC pipelines and materialized views that keep queries fast as volume grows.
Learn moreRetrieval your LLM can rely on
Chunking, embedding, and hybrid retrieval pipelines that feed AI assistants accurate, current context.
Learn moreTechnology Stack
The tools we use to move, model, and find your data.
- Dagster
- Prefect
- dbt
- Python / Pandas
- Celery / Background Jobs
- Elasticsearch
- Vector Embeddings
- Hybrid & Semantic Ranking
- Typesense
- FastAPI Search Services
- PostgreSQL / TimescaleDB
- MongoDB Change Streams
- AWS S3 & Data Lakes
- Redis
- Docker & Kubernetes