The Nervous System
Of Your AI.
Agents need live data to act. We build sub-millisecond streaming pipelines that feed your models with fresh context, enabling real-time decision making.
Batch Processing is Dead
Yesterday's data is useless for today's agents. We move you from nightly ETL jobs to event-driven architectures that react instantly.
Streaming Ingestion
Capture clickstreams, IoT sensor data, and market feeds in real-time using Kafka, Redpanda, or Kinesis.
Vector ETL
Automatically chunk, embed, and index documents into vector stores (Pinecone, Milvus) the moment they are created.
Event Sourcing
Maintain a complete history of every state change, allowing you to replay events and debug agent decisions with perfect fidelity.
Modern Data Stack
We implement high-throughput, low-latency infrastructure designed for the scale of modern AI applications.
Streaming
Apache Kafka, Redpanda, Confluent for the event backbone.
Processing
Apache Flink, Spark Streaming for stateful computations.
Storage
Snowflake, Databricks, and S3 for data lakes and warehouses.
Orchestration
Airflow, Dagster, Prefect for managing dependencies.
Data Infrastructure
Common Questions
Why do we need streaming for AI?
AI agents operating in dynamic environments (like trading or customer support) need the latest state. If your data is 24 hours old, your agent is making decisions based on the past.
Is this expensive to maintain?
It can be, but we optimize for cost-efficiency. By using serverless options (Confluent Cloud, serverless vector DBs) and efficient serialization (Protobuf/Avro), we keep infrastructure costs manageable.
Can you integrate with our legacy databases?
Yes. We use Change Data Capture (CDC) tools like Debezium to stream changes from legacy SQL databases (Postgres, MySQL, Oracle) into the event bus without modifying your existing applications.
Wire Up Your Enterprise
Data is the fuel. Pipelines are the veins. Let's build the circulatory system for your AI.