The Stack Behind Every Engagement.

Cloud compute, storage, and managed AI services. Primary infrastructure provider across most client deployments.

Vertex AI, BigQuery, and Cloud Run for data-heavy AI workloads requiring Google's model ecosystem.

Enterprise AI deployments requiring Azure OpenAI Service and compliance with enterprise security standards.

Primary deployment platform for Next.js applications. Used on every frontend-heavy client project.

GPT-4o and o-series models for complex reasoning, code generation, and multi-modal AI applications.

Claude for document processing, long-context reasoning, and enterprise AI where safety and reliability are critical.

Llama models for on-premise and air-gapped deployments where data cannot leave the client's infrastructure.

Model hosting, fine-tuning pipelines, and access to open-source model ecosystem for specialized use cases.

Agent orchestration, tool-calling pipelines, and LLM application frameworks. Used in every agentic system we ship.

Multi-agent workflow coordination with stateful, cyclical graphs. Powers complex AI agent architectures.

Managed vector database for semantic search, RAG retrieval, and long-term AI memory at production scale.

Tracing, evaluation, and production monitoring for LLM pipelines. Every AI system we ship is instrumented with it.

Version control and CI/CD for every project. GitHub Actions drives our automated testing and deployment pipelines.

Container packaging for consistent, reproducible deployments across development and production environments.

Primary relational database across most client systems. Used with pgvector extension for AI-native search capabilities.

CRM integration for AI-enhanced sales workflows. Connected to AI systems for lead scoring, outreach automation, and contact enrichment.

Payment infrastructure across marketplace and SaaS products. Used in Investarr, Find Surrogate, and other platform builds.