Artificial Intelligence

Production-grade AI that delivers
real outcomes.

Not demos. Not prototypes. AI systems built for measurable business impact from day one.

Tools & Services

AI capabilities built for your stack.

Data Pipelines & MLOps

Reliable infrastructure for AI teams — automated pipelines, model monitoring, and CI/CD for machine learning.

Airflow
Terraform
BigQuery
Kubernetes
  • ETL pipeline design and automation
  • Training and retraining job orchestration
  • Model performance monitoring and drift detection
  • Infrastructure-as-code for ML environments
  • CI/CD for model deployment and rollback
AI Strategy & Consulting

We help you identify where AI creates the most leverage and build a roadmap to get there.

OpenAI
Anthropic
LangChain
  • AI readiness and data maturity assessments
  • Use-case prioritization and ROI modeling
  • Architecture design and vendor selection
  • Proof-of-concept development and validation
  • Build vs. buy analysis and integration planning
Secure & Compliant AI Design

AI systems built with privacy, compliance, and data governance at the architecture level.

HIPAA
PHI/PII
  • PHI/PII de-identification and data masking pipelines
  • HIPAA-aware system design and documentation
  • Role-based access and audit logging for AI outputs
  • Data residency and encryption at rest and in transit
  • Responsible AI evaluation and bias testing frameworks
RAG & Vector Systems

Retrieval-augmented generation pipelines that connect LLMs to your proprietary knowledge and data.

pgvector
Chroma
Pinecone
LangChain
  • RAG pipeline design and implementation
  • Vector database setup with pgvector, Chroma, or Pinecone
  • Document ingestion, chunking, and embedding strategies
  • Hybrid search combining semantic and keyword retrieval
  • Integration with internal knowledge bases and APIs
Custom ML Models

Bespoke machine learning models trained on your data for classification, forecasting, and recommendation.

Vertex AI
PyTorch
Scikit-learn
SageMaker
  • Custom ML models — classification, forecasting, recommendation engines
  • End-to-end model development from data prep to deployment
  • Feature engineering and dataset curation pipelines
  • Model evaluation, validation, and performance monitoring
  • Scalable inference endpoints on cloud infrastructure
LLM-Powered Applications

Intelligent conversational products and copilots built on the latest large language models.

OpenAI
Anthropic
LangChain
LangGraph
  • LLM-powered apps: chatbots, copilots, and agentic workflows
  • RAG systems with LangChain, vector databases (pgvector, Chroma, Pinecone)
  • Workflow orchestration with LangGraph and multi-agent architectures
  • Model fine-tuning, evaluation, and prompt engineering
  • Secure handling of sensitive data (PHI/PII de-identification, HIPAA-aware design)
Let's Build Together

Ready to build something
that actually works?