Modern data architectures for the AI era
Legacy data infrastructure was not built for AI workloads. Cogninest AI designs and implements next-generation data solutions including lakehouses, real-time feature stores, vector databases, and knowledge graphs that power modern ML and analytics at enterprise scale.
Your data warehouse was designed for BI dashboards, not ML training. Feature engineering is done ad hoc in notebooks, vector search does not exist, and there is no way to serve real-time features to production models. The gap between your data infrastructure and your AI ambitions is growing.
A next-generation data platform with a lakehouse architecture, real-time feature store, vector search layer, and knowledge graph. ML teams get self-service access to training data and production features. Analytics teams get governed, trustworthy datasets. Both share the same source of truth.
Core use cases
Lakehouse Architecture
Unified storage and compute using Delta Lake, Apache Iceberg, or Apache Hudi. Combine the flexibility of a data lake with the reliability of a warehouse.
Feature Store Implementation
Centralized feature management for ML models. Define features once, serve them consistently in training and production with point-in-time correctness.
Vector Database Setup
Deploy and optimize vector search infrastructure for RAG, recommendation, and similarity search. Pinecone, Qdrant, Weaviate, or pgvector depending on your requirements.
Knowledge Graphs
Model complex relationships between entities using graph databases. Power recommendations, fraud detection, and research discovery with connected data.
How it works
We build on open formats and cloud-native services, avoiding vendor lock-in while maximizing performance and cost efficiency.
- Databricks / Delta Lake / Iceberg
- Feast / Tecton feature stores
- Pinecone / Qdrant / Weaviate
- Neo4j / Amazon Neptune
- Apache Spark / Trino / DuckDB
- MinIO / S3 / ADLS
Other capabilities
Data Engineering
AI models are only as good as the data that feeds them. Cogninest AI designs and builds the pipelines, warehouses, and data platforms that give your ML and analytics teams clean, reliable, real-time d
Cloud Consulting
Cogninest AI helps enterprises design cloud architectures that support ML training, real-time inference, and data-intensive workflows. As an AWS Advanced Tier partner, we bring deep expertise in build
AI Strategy Consulting
Before writing a single line of code, you need to know which problems are worth solving with AI, what data you actually have, and how to sequence investments for maximum ROI. Cogninest AI provides str
Data Science Services
Cogninest AI provides end-to-end data science consulting and implementation across healthcare, finance, retail, manufacturing, and energy. We build models that move past Jupyter notebooks into product
Next-Gen Data Solutions FAQs
Ready to build AI that reaches production?
Book a strategy call with our engineering team. We will scope your use case, estimate timelines, and show you what production-grade AI looks like for your business.