Tech Stack

Built on Tools
That Ship

The frameworks, models, and infrastructure behind everything we build. No hype — just tools we trust in production.

How We Pick Our Tools

We don't chase trends. Every tool in our stack earned its place by solving real problems in production for our clients.

Right Tool, Right Job

We don't force one framework onto every project. We pick the tool that fits the problem — whether that's a simple script or a multi-agent pipeline.

Production First

Everything we choose has to work at scale, not just in a notebook. If it can't handle real traffic, real data, and real edge cases, we don't use it.

Open Over Locked-In

We default to open-source and vendor-neutral tools. Your system should work even if you switch providers tomorrow.

Full Stack

Everything We Use

Programming Languages

Each language serves a specific role in our pipeline.

PythonAI/ML, agents, data pipelines

RustHigh-performance tooling

TypeScriptFull-stack web, APIs, frontends

AI Models

We pick the best model for each task, not one provider for everything.

AnthropicClaude — complex reasoning, code, agents

OpenAIGPT — general tasks, vision, embeddings

GeminiLong context, multimodal workloads

HuggingFaceOpen-source models, fine-tuning

CerebrasUltra-fast inference at scale

GroqLow-latency inference for real-time use

OpenRouterUnified API, model fallback routing

ReplicateHosted open-source model deployment

AI Frameworks

Orchestration and automation tools that power our agents.

LangGraph / LangChainStateful multi-step agent workflows

LlamaIndexRAG pipelines and data connectors

CrewAIMulti-agent collaboration systems

OpenClawCustom agent orchestration

N8NVisual workflow automation

Vector Databases

Where embeddings live — chosen per project for cost, speed, and scale.

MilvusHigh-scale, self-hosted vector search

PineconeManaged, zero-ops vector DB

PGVectorVectors inside Postgres — simple and solid

ChromaLightweight, local-first for prototyping

WeaviateHybrid search with built-in ML modules

Cloud

Infrastructure that scales from prototype to production.

AzureEnterprise deployments, OpenAI integration

AWSCore infra — EC2, Lambda, S3, SageMaker

Vast AIAffordable GPU compute for training

RunPodOn-demand GPU for inference workloads

Our Work

Open Source & Clients

We build in public and ship for clients. From open source tools used by developers worldwide to production AI systems for real businesses.

View GitHub Org

RustyRAG

Realtime RAG, built in Rust.

AlphaCorp-AI / RustyRAG

Open Source

The fastest open-source RAG stack on the planet. Sub-200ms end-to-end — document ingestion, Milvus vector search, local Jina embeddings, and streaming LLM responses, all in one async Rust binary. Powered by Cerebras, Groq, and more.

realtimerustragmilvusgroqcerebrasllmstreaming

Rust

MIT

Versar Global Solutions

Washington, DC

Client

Built agentic software and RAG pipelines for Versar Global Solutions, enabling intelligent document processing and autonomous decision-making across their operations.

pythonrustazureopenrouteropenaigeminiragagents

Agentic Software & RAG Pipelines

HospitalityFlow

Singapore

Client

Fullstack AI agent engineering for the hospitality industry. Built Next.js / TypeScript front-end and FastAPI / Python back-end on Azure, with LLM prompt engineering and MLOps end-to-end.

nextjstypescriptfastapipythonazureai-agentsllmmlops

Fullstack AI Agent Engineering

Gynisus

New York, NY

Client

Autonomous AI agent consulting. Implementing Anthropic Claude Code and OpenAI Codex inside production engineering workflows to ship faster with less headcount.

anthropicopenaiclaude-codecodexagents

Autonomous AI Agent Consulting