Contact Us

Fill in a form to contact

...

Clicking “Send” button you accept our Privacy Policy

Email:

[email protected]

Contact phone:

+1 424 459 8889

Social networks

Also, you can take a free survey, and we will analyze your responses to provide you with insights based on your answers.

--:--
KYIV - GMT+2
Ukraine, Zaporizhia & Kyiv
--:--
LA - GMT-8
USA, CA, Los Angeles
--:--
BGM - GMT+2
Israel, Binyamina Giv'at Ada
--:--
BRA - GMT+1
Slovakia, Bratislava

AI / ML

AI that skyrockets your product revenue — elevate competition to the next level.

We architect end-to-end machine learning systems connecting data sources, models, and deployment platforms to deliver reliable, secure, and controllable AI-driven operations.

Users receive intelligent and modern solutions that address real business pain points, while you gain scalable ML infrastructure and support across the full AI lifecycle.

Tech Stack

Python NumPy, Pandas

General

Keras / TensorFlow scikit-learn Hugging Face Transformerss

ML / DL Frameworks

OpenCV (Python) Darknet/YOLO Ultralytics YOLO (v5/v8) OIDv4 ToolKit

Computer Vision

NLTK

NLP / Text

Have an AI / ML idea?
Let’s bring it to life.

Librosa PyAudio, PANNs_inference

Audio / Speech

Text / LLMs: OpenAI, Google AI Image: DALL·E 3, Pexels API Voice: ElevenLabs API (TTS) Local serving: vLLM, Ollama

Generative AI & Services

LangGraph OpenAI Agents MCP (Model Context Protocol)

Agents & Orchestration

PostgreSQL (pgvector, tsvector) Neo4j ChromaDB

Data Stores & Graph / Vector

NVIDIA Jetson Nano (edge deployment, GPU inference) TensorFlow Lite (mobile/embedded)

Hardware / Edge AI

Case Studies

Loading projects...

How we work?

1
Idea
During the ideation and discovery phase, we define validation criteria, data, model, and deployment requirements that guide later stages — critical for scalable, rapidly growing domain.
2
Prototype & Design
Throughout the prototyping and design stage, we rapidly test concepts, refine user interactions, and shape feature priorities through iterative validation to ensure strong usability and product–market alignment.
3
Launch & Support
We deploy production-ready solutions, manage releases and versioning, monitor performance in real time, address issues proactively, and ensure continuous support to maintain a stable, high-quality user experience.
4
Analysis & Tokenomics
We enable early fine-tuning of analytics, tokenomics and data tools, aligned with product requirements and specific functional characteristics to support accurate insights and scalable growth.
5
ML / AI core development
Secure, reproducible MLOps: scalable data-to-model pipelines, versioned training & serving, encrypted data flows, automated CI/CD, model monitoring, canary deployments, explainability & bias mitigation, rollback, governance and compliance, backward compatibility support.
Discuss Your Project

Testimonials

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Testimonial 2
Testimonial 2 test tes test
Testimonial 1

FAQ

What AI solution is a must in today’s medium-sized startups?
For medium-sized startups, the “must-have” AI solution is customer-facing automation combined with data-driven insights: • AI-powered chatbots & virtual assistants • Predictive analytics • Recommendation engines Startups typically gain the most when they combine automation for efficiency with intelligence for growth decisions.
Why should I invest in AI now?
Early adopters are already seeing measurable competitive advantages — capturing new market share through automation, personalization, and predictive insights. Mainstream adopters (companies that didn’t jump first but are now integrating AI steadily) are finding that AI helps them defend their market position by cutting operational costs, speeding up decision-making, and improving customer satisfaction.
How do you ensure transparency in AI models?
It is a good question. We use explainable AI (XAI) frameworks, model interpretability dashboards, and provide clear documentation on decision-making. This ensures your team and end-users can understand why AI outputs what it does.
What is the typical AI project timeline?
An MVP can usually be delivered within 6–10 weeks, including data ingestion, model training, and a functional UI dashboard. Traditionally, this was the fastest possible schedule, that could be significantly extended — however, with the Outhub approach, independent processes run in parallel, enabling faster delivery without compromising quality.
Can you integrate AI with our existing systems?
Absolutely. We integrate AI into ERP, CRM, eCommerce, and analytics platforms. Our stack includes PostgreSQL, Neo4j, and ChromaDB for advanced search and vector storage — so AI enhances your workflows rather than replacing them. We support edge AI and on-device models.
How do you measure success in AI projects?
Every project comes with KPIs defined upfront: conversion lift, cost reduction, churn decrease, or engagement boost. We track ROI at every stage and provide clear dashboards for performance monitoring.

Get in touch with us