Engineered for complexity.
We don't sell software licenses. We build custom, integrated systems that solve specific operational bottlenecks using AI and modern cloud architecture.
AI Data Pipelines
Your AI is only as good as the data feeding it. We build the ingestion, transformation, and vectorization layers required to turn raw enterprise data into actionable intelligence.
Real-Time Streaming
Kafka and Kinesis integration for sub-second data processing across global regions.
Vector Databases
Pinecone, Weaviate, and Milvus deployments for Retrieval-Augmented Generation (RAG).
Automated ETL
Self-healing data pipelines that alert on schema drift, anomalies, and volume drops.
Legacy Modernization
You don't need to rip and replace your ERP or CRM to leverage AI. We build secure middleware and API layers that allow modern AI agents to interact with legacy systems safely.
API Wrapping
Exposing legacy mainframe or on-prem databases via secure, rate-limited REST/GraphQL APIs.
Agentic Workflows
Deploying AI agents that can read from and write to legacy systems to automate data entry.
Zero-Trust Security
Deploying AI in healthcare, finance, or government requires absolute security. We architect isolated environments where your proprietary data never trains public models.
Private LLM Hosting
Deploy open-source models (Llama 3, Mistral) entirely inside your own VPC or on-prem hardware.
PII Redaction
Automated scrubbing of sensitive data (SSNs, health records) before it reaches the model.
Global Edge Scale
For enterprises operating across continents, we deploy AI inference at the edge to reduce latency and comply with data sovereignty laws.
Multi-Cloud Routing
Dynamically routing AI requests to AWS, Azure, or GCP based on user location and compliance.
Edge Caching
Caching LLM responses at the edge to reduce cost and latency for global user bases.