PRODUCTION-PROVEN ARSENAL

The Engineering Stack We Work With

We don't use fragile wrappers. Kodra Labs leverages battle-tested frameworks, kernel-level GPU acceleration, and modern frontier models to build production systems.

ENGINEERING ARSENAL • AUTHENTIC TECH STACK

The Technologies We Work With

We work directly with official frontier models, low-level inference acceleration runtimes, and distributed state graphs.

Anthropic

Claude 3.5 Sonnet

Models

Frontier reasoning engine for complex agentic tool use & multi-step coding.

Production ReadyKodra Verified
OpenAI

OpenAI GPT-4o

Models

Omni multimodal model for high-speed structured extraction and dialogue.

Production ReadyKodra Verified
Meta AI

LLaMA 3.3 70B

Models

Open-weight powerhouse for local deployment, private finetuning & AWQ quantization.

Production ReadyKodra Verified
DeepSeek

DeepSeek-R1

Models

Reinforcement learning distilled reasoning model for specialized mathematical & logic tasks.

Production ReadyKodra Verified
Google Cloud

Gemini 1.5 Pro

Models

2M-token ultra-long context window and native video/audio understanding.

Production ReadyKodra Verified
Orchestration

LangGraph

Agents

Cyclic state graphs for deterministic multi-agent orchestration and human-in-the-loop flows.

Production ReadyKodra Verified
Multi-Agent

AutoGen

Agents

Conversational multi-agent patterns for complex problem decomposition and code execution.

Production ReadyKodra Verified
Workflows

CrewAI

Agents

Role-based autonomous agent workforces with delegation and memory synchronization.

Production ReadyKodra Verified
PY
Type-Safe

PydanticAI

Agents

Type-safe, validated agent engineering framework backed by Pydantic validation.

Production ReadyKodra Verified
Serving

vLLM

Inference & MLOps

High-throughput serving engine with PagedAttention and continuous batching on GPU clusters.

Production ReadyKodra Verified
NVIDIA

TensorRT-LLM

Inference & MLOps

NVIDIA-accelerated kernel compiler for sub-50ms inference latency.

Production ReadyKodra Verified
Core

CUDA 12.4 & PyTorch

Inference & MLOps

Low-level tensor acceleration and distributed training/inference pipeline orchestration.

Production ReadyKodra Verified
UN
Fine-Tuning

Unsloth & LoRA

Inference & MLOps

Ultra-fast parameter-efficient fine-tuning with 80% memory reduction.

Production ReadyKodra Verified
Vector DB

Qdrant

Databases & RAG

Ultra-fast vector search engine with payload filtering and high-dimensional indexing.

Production ReadyKodra Verified
Graph DB

Neo4j Graph DB

Databases & RAG

Graph database powering multi-hop entity reasoning to eliminate RAG hallucination.

Production ReadyKodra Verified
Postgres

pgvector (PostgreSQL)

Databases & RAG

ACID-compliant relational storage with integrated vector embeddings for enterprise data.

Production ReadyKodra Verified
Backend

Python 3.12 & FastAPI

Backend & Infra

Asynchronous high-concurrency microservices, gRPC interfaces, and streaming WebSockets.

Production ReadyKodra Verified
DevOps

Docker & Kubernetes

Backend & Infra

Containerized sandbox execution nodes and production cluster orchestration.

Production ReadyKodra Verified
Web App

Next.js 15 & TypeScript

Backend & Infra

Full-stack server-rendered web applications with real-time streaming interfaces.

Production ReadyKodra Verified
Data Layer

Supabase & Redis

Backend & Infra

Instant realtime datastore, distributed caching, pub/sub, and secure user sessions.

Production ReadyKodra Verified
Need a bespoke architecture configured for private VPC or dedicated on-premise GPUs?
Consult with our engineers →

How Our Stack Integrates

A cohesive 5-tier architecture powering 24/7 autonomous intelligence

01. Frontier & Local Models

Optimized model selection tailored to task reasoning complexity and token economics.

Claude 3.5 Sonnet
GPT-4o
DeepSeek-R1
LLaMA 3.3 70B
Gemini 1.5 Pro

02. Multi-Agent State Graph

Deterministic cyclical agent topologies with isolated Docker sandboxing and test synthesis.

LangGraph
AutoGen
CrewAI
PY
PydanticAI

03. Inference & Hardware Acceleration

Sub-100ms P95 latency via PagedAttention, continuous batching, and 4-bit AWQ quantization.

vLLM
TensorRT-LLM
CUDA 12.4
PyTorch
RA
Ray
TR
Triton

04. Hybrid Vector & Graph Retrieval

Multi-hop graph traversal combined with dense/sparse vector indexing to eliminate hallucinations.

Qdrant
Neo4j
pgvector
MI
Milvus

05. Full-Stack & Orchestration

Real-time streaming WebSockets, reactive interfaces, and enterprise-grade security.

Next.js 15
TypeScript
Python / FastAPI
Docker
Kubernetes
Supabase

Need specific stack compatibility?

We deploy across AWS, GCP, Azure, or on-premise NVIDIA GPU nodes.

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