AI and Software Development Services

At Vectorial, we transform ideas into solutions.

We specialize in generative AI, machine learning training and inference, and full-stack software development.

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WHAT WE DO

Our Services

End-to-end AI and software solutions to help your business innovate and scale.

AI Solutions

Custom generative AI and machine learning solutions tailored to your business needs.

Software Development

Scalable and secure software solutions for web applications and enterprise systems.

Consulting Services

Expert guidance on AI strategy and technical architecture to help your business succeed.

WHO WE ARE

About Us

We are a team of passionate software developers, AI engineers, and data scientists dedicated to delivering innovative solutions that drive business growth and technological advancement.

Our team brings extensive experience from industry leaders such as AWS, Oracle, Visa, Boeing, Home Depot, and multiple startups to provide cutting-edge, custom-tailored AI and software solutions to suit your specific needs.

Whether you are an early-stage startup or an established enterprise, we have the necessary technical and business expertise to ensure your success.

Experienced Team

Senior engineers and data scientists with proven track records at leading companies.

Proven Expertise

Deep experience in AI, cloud, and software engineering across industries.

From Startup to Enterprise

Solutions tailored for every stage of growth, from MVPs to enterprise-scale systems.

OUR PORTFOLIO

Case Studies

Real Solutions. Measurable Impact.

Education Stealth Startup

AI Tutor for Elementary School Students

Problem

Elementary students often need personalized support, but teachers and parents do not always have enough time to tailor lessons for every child.

Solution

Built an AI learning product that provides personalized lessons, interactive educational content, and parent/teacher dashboards to monitor progress and guide learning. The adaptive tutoring engine is built on OpenAI APIs for lesson generation, dialogue, and progress reasoning.

Adaptive Learning Engine

Student profile
Lesson path
Progress
Recommendations

EducationParental AnalyticsOpenAI

Fraimic

AI-Powered Digital Art Frame

Problem

Traditional digital frames are limited to static images and require manual uploads, making it difficult to easily create and display new, personalized artwork.

Solution

Built an AI-powered digital frame that turns voice prompts and images into artwork displayed on an e-ink screen that mimics paper, enabling users to effortlessly create and showcase personalized visuals without complex tools. The generative pipeline is powered by OpenAI's multimodal and image APIs.

AI Art Creation Flow

Voice-to-art generation
AI image generation agent
Context-aware visual editing
E-ink frame rendering

Consumer AIGenerative ExperienceOpenAI

Maester

AI Data Analysis Agent

Problem

Teams often spend hours manually pulling reports, comparing data across systems, and trying to uncover risks, trends, or opportunities hidden in their data.

Solution

Built an AI agent that lets users ask business questions in plain English and receive data-backed insights, reports, and recommendations, helping teams analyze performance faster and reduce manual reporting work. Anthropic powers the core agent; OpenAI supports surrounding workflows like suggested questions, answer evaluation, and blueprint generation.

Data Agent Pipeline

Ingestion
Dynamic K-shot Prompting
Automated Reports
Validation

AnalyticsAgentic AIAnthropicOpenAI

Health3

AI-Powered Medical Data Extraction

Problem

Biomarker lab reports come in many languages and formats, making them difficult to process accurately at scale.

Solution

Built an AI system that reads these reports and converts them into clean, structured data. Improved extraction accuracy from ~40% to over 96%, making medical data processing faster, more reliable, and easier to scale.

AI + OCR Extraction

Patient ID
Test Name
Result
Reference Range

HealthcareAI & Data Extraction

Space Meridian

Decentralized Network Analytics

Problem

Large decentralized networks can be difficult to monitor because activity is spread across thousands of independent nodes.

Solution

Built analytics and dashboard features to track network performance, usage, and health across tens of thousands of nodes, making the system easier to understand, monitor, and improve.

Network Health Signals

Node uptime
Latency
Throughput
Regional spread

Web3 InfrastructureNetwork Analytics

VECTORIAL LABS

Research

Open research into machine learning, from neural architecture search to program synthesis.

EvoDNN

Evolve Neural Network

Vectorial performs advanced machine learning (ML) research on automated discovery of new AI algorithms.

We are developing an evolutionary-algorithm framework that automatically evolves deep neural network architectures and hyperparameters. Neural networks are represented as directed acyclic graphs (DAGs), with a primary current research focus of evolving beyond vanilla transformers. The framework is domain-agnostic and also supports non-transformer architectures and non-neural-network evolutionary search. Automated evolution of neural network architectures avoids human researchers' algorithmic biases and preferences for simplistic architectures.

Funded by Deep Projects

View on GitHub

LLMOSES

Large Language Meta Optimizing Semantic Evolutionary Search

Vectorial performs research on emergent capabilities of LLMs and other leading intelligence models.

We are developing LLMOSES, which pairs AI agents with MOSES, an evolutionary algorithm that writes small programs to uncover patterns in data. Instead of exploring at random, LLMOSES utilizes an AI agent to watch MOSES's progress and suggest which directions look most promising, guiding the search toward better solutions faster than the original algorithm alone. It works through a lightweight layer that watches MOSES as it runs, passes that progress to the AI for guidance, and feeds the suggestions back in, all without changing MOSES's underlying code. The goal of this research is to evaluate AI agents' abilities to improve search and optimization algorithms like MOSES.

Funded by Deep Projects

View on GitHub

OUR TESTIMONIALS

What Our Customers are Saying

Proof from the people who lived the work.

"Vectorial has brought a lot of value to Health3, from the early phases where they provided theoretical research, PoC implementations, and analysis of possible development directions, all the way to implementing the productive deployment of the necessary AWS services and tools. The whole team has been a pleasure to work with, responsive, flexible, creative and delivering above expectations."

"Working with Vectorial over the past year has been an exceptional experience. What started as a contractor relationship quickly evolved into them truly operating like founding members of our team. Vectorial consistently brings a rare combination of creativity, agility, and ownership to everything they do. If you're looking for a partner who is as invested in your success as you are, I can't recommend Vectorial highly enough."

"Working with Vectorial has been incredible. They provided top-tier AI and software solutions at a speed and price point that exceeded our expectations."

"Working with Vectorial has been an excellent experience. They are professional, dependable, and consistently bring a high level of skill and attention to detail to everything they work on. They communicate clearly, solve problems quickly, and always approach challenges with a thoughtful and solutions-oriented mindset. Beyond delivering quality work on time, they're also someone you can trust to take ownership and get things done the right way. I'd confidently recommend Vectorial to anyone looking for a talented and reliable team."

CONTACT

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