argencode

// AI products built in Argentina

We build proprietary technology with accelerated AI

Argencode is a product company: we build our own software and IP on NVIDIA-accelerated computing. A team of certified systems engineers researching, training, and integrating AI models in our own lab, on NVIDIA DGX Spark hardware.

Of in-house AI compute
1 PFLOP

Of in-house AI compute

Technologies mastered
+15

Technologies mastered

IP developed in-house
100%

IP developed in-house

Parameters fine-tuned locally
70B

Parameters fine-tuned locally

// Technology

What we build and what we build it on

Everything we develop is our own intellectual property: products designed, trained, and built in-house by our engineering team.

AI-native products

We build proprietary software products with AI at the core: autonomous agents, intelligent data processing, and automation, trained and validated in our own lab.

Accelerated computing

Our IP is built on NVIDIA-accelerated computing: local model fine-tuning and inference on our own DGX Spark hardware with the Grace Blackwell architecture.

Web platforms

Our products ship as modern web platforms — fast, scalable, and built with React, Next.js, and the best stack in the ecosystem.

Mobile experiences

We bring our technology to iOS and Android with high-quality native and cross-platform applications.

Cloud as infrastructure

We use cloud infrastructure (AWS, Vercel, Google Cloud) to deploy and scale our own products. We are not a cloud services provider or a reseller: the cloud is our tool, not our business.

Data engineering and APIs

We design the APIs, integrations, and data architectures that power our products, built to grow with every release.

// About the company

An Argentine startup built around AI products and innovation

Argencode is a young, privately held company officially incorporated in Argentina, dedicated to building proprietary software products and IP on artificial intelligence and accelerated computing.

Mission

To democratize access to state-of-the-art artificial intelligence by building products that bring accelerated computing to organizations that cannot leverage it today.

Value proposition

We are one of the few teams that combine deep enterprise systems expertise (IBM i, AIX, COBOL, RPG) with applied AI research on our own NVIDIA hardware: we build products that connect the legacy world with the next generation of computing.

Proprietary IP

Our business model is building proprietary technology and products. The intellectual property we create — fine-tuned models, agents, platforms — is the heart of the company.

Company profile

Legal name
ARGENCODE SRL
Company type
Private, incorporated in Argentina
Founded
2022 — Buenos Aires
CUIT
30-71750998-2
Headquarters
Av. Santa Fe 3312, Piso 14 C, CABA (CP 1425)

// Who we are

Young, dynamic, and grounded in solid engineering

A fully in-house engineering team: we combine the reliability of developers with long track records in mission-critical systems and a new generation building artificial intelligence products and exploring quantum computing.

Certified professionals

Our team is made up of systems engineers and certified professionals who guarantee quality in every delivery.

Breadth across technologies

Our team masters technologies like COBOL, RPG, Pascal, C, C++, C#, Python, and Go: that enterprise-world knowledge feeds the products we build to connect it with AI.

Multiple platforms

Proven experience on IBM i, AIX, Linux, and Windows Server: we are equally at home in mission-critical enterprise environments and modern infrastructure.

Artificial intelligence

A new generation of talent pushes us beyond the limits, integrating AI into real products and processes, with our own AI lab running on NVIDIA DGX Spark.

Quantum computing

We explore the next frontier of computing so your business is ready for what comes next. Our team includes professionals certified in quantum computing and Qiskit.

// Technologies we master

  • COBOL
  • RPG
  • Pascal
  • C
  • C++
  • C#
  • Python
  • Go
  • TypeScript
  • AI
  • NVIDIA DGX Spark
  • Quantum computing
  • Qiskit

// Platforms we operate on

  • IBM i
  • AIX
  • Linux
  • Windows Server

// AI Lab

Where our technology is born: R&D on NVIDIA DGX Spark

The heart of Argencode is our AI lab, equipped with an NVIDIA DGX Spark: the personal AI supercomputer built on the Grace Blackwell architecture. This is where we research, train, and validate the models and agents that power our products: fine-tuning, local inference, and autonomous agent development on our own hardware. We also run live demos and hands-on labs to show our technology working in real time.

NVIDIA DGX Spark personal AI supercomputer on a work desk

Research and development

Prototyping and validating our AI products on real hardware, with fast experimentation cycles and no cloud dependency.

Autonomous AI agents

We build agents that plan, use tools, and execute tasks continuously: the core of our local AI product line.

Grace Blackwell architecture

The GB10 superchip delivers up to 1 petaFLOP of AI performance and 128 GB of unified memory for large-scale models.

Fine-tuning and inference

Fine-tuning of models up to 70B parameters and optimized local inference with frameworks like vLLM, llama.cpp, and Ollama.

Cluster-ready scaling

Multiple DGX Spark units can be connected in a multi-node cluster to run larger models and scale inference and fine-tuning workloads.

Local, secure environment

Your data never leaves the lab: ideal for testing with sensitive or regulated information.

Want to see our technology in action?

Book a live demo of our AI products running on the DGX Spark.

Book a demo

// Products in development

AI that meets regulations and protects health

Argencode invests in R&D to create artificial intelligence products that solve regulatory and healthcare challenges, combining profitability with social impact.

Pharmaceutical industry

Regulatory compliance assistant

A product in development that uses machine learning algorithms to help pharmaceutical lab teams comply with ANMAT regulations and quality standards such as ISO 9001: support for regulatory documentation, process traceability, early deviation detection, and fewer quality-control errors.

A commercial solution focused on creating value for the industry. It does not imply an agreement with ANMAT: we help companies comply with its regulations.

  • ANMAT
  • ISO 9001
  • Machine Learning
  • Traceability
Public health

AI for cancer screening

An initiative aimed at collaborating with Argentina's National Cancer Institute, applying classification models to organize and prioritize screening data. Two Argencode team members previously worked at the Institute, giving us first-hand knowledge of the domain, its processes, and its real needs.

All work with sensitive health data happens in the local, secure environment of our lab: the data never leaves it.

  • Classification
  • Screening
  • Local, secure data
  • Public good

// Dual purpose

Innovation with revenue

We build cutting-edge AI applications that solve concrete problems in regulated industries, generating the revenue that sustains and scales our R&D investment.

Public health impact

We contribute to public institutions by applying our technology to the common good: the same compute and engineering capability, put to work for the population's health.

A talent pipeline

Argencode is a constant pipeline of talent: several of our team members teach Programming at Universidad Abierta Interamericana (UAI), which lets us train and bring in new generations of developers while strengthening the bond between academia and industry. Combining real domain experience — like that of our former National Cancer Institute members — with active academic teaching is one of the pillars of our team.

Teaching at UAI · Domain experience · Continuous learning

// How we create

From lab to product

  1. 01

    Research

    We identify real market problems and explore how AI and accelerated computing can solve them better than existing solutions.

  2. 02

    Lab experimentation

    We prototype and validate on our DGX Spark: model fine-tuning, agents, and benchmarks on our own hardware, with controlled data.

  3. 03

    Product engineering

    We turn validated experiments into robust products: short sprints, frequent releases, and engineering quality in every iteration.

  4. 04

    Launch & evolution

    We take the product to production, measure real-world usage, and evolve it continuously. Every release strengthens our IP.

// Contact

Want to get to know our technology?

Reach out to book a demo of our AI products or to explore partnerships and opportunities. We reply within 24 hours.

Av. Santa Fe 3312, Piso 14 C
CABA, Argentina (CP 1425)