Tech Stack

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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.

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RustyRAG

AlphaCorp-AI / RustyRAG

Sub-200ms RAG API built in Rust. Handles document ingestion, Milvus vector search, Jina AI local embeddings, and LLM streaming in a single async binary. Powered by Cerebras, Groq, and more.

rustragmilvusgroqcerebrasllmvector-search

Rust

MIT

Versar Global Solutions

Washington, DC

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

pythonrustazureopenrouteropenaigeminiragagents

Client ProjectAgentic Software & RAG Pipelines

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