Because AI Is Only as Good as Your Data
Your AI project will fail without the right data foundation. We help companies design data architectures and build pipelines that make AI products work in production — not just in a demo.
Book a Data Assessment
Why AI Projects Stall at the Data Layer
You've identified a great AI use case. Maybe you even built a prototype that works with sample data. But when you try to connect it to real production data, everything breaks.
Dirty data
Missing values, inconsistent formats, duplicates, and stale records that make model outputs unreliable.
Siloed systems
Your data lives in 12 different tools with no unified access layer. Getting data from point A to point B requires a manual export.
No pipeline
There's no automated way to get fresh data from your systems into your AI application. Every refresh is a manual process.
Wrong architecture
Your database wasn't designed for the queries AI needs. Vector search, embedding storage, and real-time retrieval require different infrastructure.
We fix all of this.
Data Strategy Consulting Services
Data Readiness Assessment
We audit your current data landscape — sources, quality, accessibility, and gaps. You get a clear picture of what's ready, what needs work, and what's blocking your AI initiatives.
Data Architecture Design
We design the data infrastructure your AI products need. Vector databases, embedding pipelines, knowledge graphs, data lakes, real-time streaming.
Data Pipeline Development
We build automated pipelines that move data from your source systems into your AI applications. ETL/ELT, real-time ingestion, data transformation, and quality monitoring.
RAG Infrastructure
Retrieval-Augmented Generation is only as good as your retrieval layer. We build the chunking, embedding, indexing, and query pipeline that makes your AI accurate.
Data Quality & Governance
Monitoring, validation, and alerting for data quality. We set up the systems that catch problems before they reach your AI models.
Data Infrastructure We Build With
Databases
PostgreSQL 
MongoDB 
Redis 
Elasticsearch Data Pipelines
Airflow 
Kafka 
Snowflake 
LangChain Cloud & Infrastructure
AWS 
Google Cloud 
Azure 
Docker 
Kubernetes 
Data Strategy Consulting for AI-Forward Companies
Companies starting their first AI project
You need someone to assess whether your data is ready and build the infrastructure to support AI — before you invest in model development.
Teams whose AI prototypes don't work with real data
The demo was great. Production data broke it. We bridge the gap between prototype and production at the data layer.
Organizations with data spread across dozens of tools
We unify access, build pipelines, and create the data infrastructure that makes AI possible across your organization.
Get Your Data AI-Ready
A 30-minute data assessment call. We'll evaluate your current data landscape, identify gaps, and outline what needs to happen before your AI project can succeed.