Wave of light particles flowing through faint circuit traces on a dark background
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.

01

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.

02

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.

03

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

Languages & Frameworks

Each language serves a specific role, and each framework is its production face.

TypeScriptFull-stack web, APIs, frontends
ReactInteractive UIs, the industry default
Next.jsThe framework our frontends ship on
PythonAI/ML, agents, data pipelines
FastAPIAsync Python APIs that serve models
RustHigh-performance tooling
ActixRust web services built for throughput
AxumRust APIs on Tokio, type-safe routing

Foundation 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
LlamaOpen weights for self-hosted deployments
MistralEfficient open models, EU-friendly
Hugging FaceOpen-source models, fine-tuning

Fast Inference

The latency the user feels, served from the fastest host for each model.

GroqLow-latency inference for real-time use
CerebrasUltra-fast inference at scale
OpenRouterUnified API, model fallback routing
ReplicateHosted open-source model deployment
OllamaLocal models for dev and air-gapped work
vLLMHigh-throughput self-hosted serving

Agents & Orchestration

Orchestration and automation tools that power our agents.

LangGraphStateful multi-step agent workflows
LangChainLLM building blocks and integrations
LlamaIndexRAG pipelines and data connectors
CrewAIMulti-agent collaboration systems
OpenClawCustom agent orchestration
n8nVisual workflow automation

Vector & Memory

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
RedisCache, queues and agent memory

Voice, Image & Fine-Tuning

Voice, image and model adaptation, for the projects that ask for it.

ElevenLabsProduction-grade voice synthesis
LiveKitRealtime voice and video agents over WebRTC
VapiVoice agents on phone and web calls
ComfyUIImage generation pipelines
PyTorch / LoRAFine-tuning with LoRA adapters
ModalServerless GPUs for training jobs

Cloud & Delivery

Infrastructure that scales from prototype to production.

AWSCore infra — EC2, Lambda, S3, SageMaker
AzureEnterprise deployments, OpenAI integration
Google CloudVertex AI and GKE workloads
DockerOne artifact from laptop to production
KubernetesOrchestration for inference at scale
VercelWhere our frontends deploy
Vast AIAffordable GPU compute for training
RunPodOn-demand GPU for inference workloads

Evals & Observability

A shipped system is one you can watch: traces, evals and dashboards.

LangSmithTracing and evals for agent runs
LangfuseOpen-source LLM observability
Weights & BiasesExperiment tracking for fine-tunes
GrafanaDashboards and alerting in production
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. We ship production AI agents for teams across healthcare, financial services, SaaS, and logistics.

View GitHub Org
RustyRAG logo

RustyRAG

Realtime RAG, built in Rust.

AlphaCorp-AI / RustyRAG

The fastest source-available 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
196
10
Rust
Elastic License 2.0
Versar Global Solutions logo

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
Agentic Software & RAG Pipelines
HospitalityFlow logo

HospitalityFlow

Singapore

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 logo

Gynisus

New York, NY

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
CampusReel logo

CampusReel

New York, NY

Fullstack engineering for CampusReel, including a wayfinding algorithm that routes prospective students through campus tours and university content.

nextjstypescriptfullstackwayfindingalgorithms
Fullstack Engineering & Wayfinding
Luniq logo

Luniq

Germany

Fullstack AI agent engineering for Luniq. Python / FastAPI backend on Azure with RAG pipelines, prompt engineering, and MLOps / DevOps end-to-end.

pythonfastapiazureai-agentsragllmmlopsdevops
Fullstack AI Agent Engineering
The Shift
AlphaCorp AI
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