Full-Stack Software Studio.

Algorithmic is a software engineering studio that builds custom mobile and web apps from concept to launch. When projects demand it, we bring deep expertise in Machine Learning, Data Science, and Web Scraping.

00

[abstract ideas]

01

finished products

Full-Stack Software Studio.

Algorithmic is a software engineering studio that builds custom mobile and web apps from concept to launch. When projects demand it, we bring deep expertise in Machine Learning, Data Science, and Web Scraping.

00

[abstract ideas]

01

finished products

If

it’s

worth

building,

build

it

well.

If

it’s

worth

building,

build

it

well.

If

it’s

worth

building,

build

it

well.

Our process

Our process

00

00

THE STARTING POINT.

THE STARTING POINT.

You come to us with an idea, a challenge, or a messy data problem.  We bring clarity, direction, and a plan of attack.

THE BUILDING PROCESS...

THE BUILDING PROCESS...

Hands-on, focused execution, led by collaboration, not tickets. You stay close to the build. We move fast and communicate clearly.

01

01

THE OUTCOME.

THE OUTCOME.

A working product. A deployed system. Battle-tested, robust, scalable, and built to solve the problem you came with.

You bring the idea

You bring the idea

We bring the clarity

We bring the clarity

We bring the clarity

[ our services ]

Working with us feels like having an extra set of founders.

Brands & Institutes We Have Worked With

[ Case Studies ]

We understand the space, fill in the gaps fast, and get real systems out the door.

[ TESTIMONIALS ]

We see the big picture, handle the details, and don't need their hands held.

[ FEED ]

Thoughtful takes on tech and product.

filters

All

Case Studies

Thought Leadership

Solutions

Date

Name

11/19/25

Feature engineering decides Machine Learning outcomes

desc

Feature engineering shapes how models understand signals and it determines whether they perform well once deployed. This article explains why well structured features drive model accuracy and reliability in machine learning systems.

author

Anja Brtan

11/14/25

The Machine Learning Checklist

desc

Learn how to assess your organization or project's readiness for Machine Learning. In this guide we cover highly important aspects such as data quality, infrastructure, team setup, and ROI to help you derive deep business value. Ideal for leaders and teams planning to scale data-driven solutions responsibly and effectively. Can also be utilized by hobbiests for their solo projects.

author

Sanket Rajeev Sabharwal, Yuriy Onyshchuk, Anja Brtan

8/1/25

eBay Market Signals

desc

Scalable insights for eBay arbitrage advantage.

author

Yuriy Onyshchuk

7/15/25

MMA Betting Intelligence

desc

Machine learning predicts fight outcomes profitably.

author

Yuriy Onyshchuk

7/1/25

NBA Betting Engine

desc

Predictive ROI from real-time NBA data and inference on the fly.

author

Yuriy Onyshchuk

6/15/25

NCAA Betting System

desc

College basketball predictions with real-time accuracy.

author

Sanket Rajeev Sabharwal

6/1/25

FMCG QA on Edge

desc

Real-time dimension and damage detection on conveyors.

author

Yuriy Onyshchuk

5/1/25

Fairway Finder

desc

From MVP to Nationwide Platform - Engineering America’s Smartest Tee Time Tool

author

Sanket Rajeev Sabharwal

filters

All

Case Studies

Thought Leadership

Solutions

Date

Name

11/19/25

Feature engineering decides Machine Learning outcomes

desc

Feature engineering shapes how models understand signals and it determines whether they perform well once deployed. This article explains why well structured features drive model accuracy and reliability in machine learning systems.

author

Anja Brtan

11/14/25

The Machine Learning Checklist

desc

Learn how to assess your organization or project's readiness for Machine Learning. In this guide we cover highly important aspects such as data quality, infrastructure, team setup, and ROI to help you derive deep business value. Ideal for leaders and teams planning to scale data-driven solutions responsibly and effectively. Can also be utilized by hobbiests for their solo projects.

author

Sanket Rajeev Sabharwal, Yuriy Onyshchuk, Anja Brtan

8/1/25

eBay Market Signals

desc

Scalable insights for eBay arbitrage advantage.

author

Yuriy Onyshchuk

7/15/25

MMA Betting Intelligence

desc

Machine learning predicts fight outcomes profitably.

author

Yuriy Onyshchuk

7/1/25

NBA Betting Engine

desc

Predictive ROI from real-time NBA data and inference on the fly.

author

Yuriy Onyshchuk

6/15/25

NCAA Betting System

desc

College basketball predictions with real-time accuracy.

author

Sanket Rajeev Sabharwal

6/1/25

FMCG QA on Edge

desc

Real-time dimension and damage detection on conveyors.

author

Yuriy Onyshchuk

5/1/25

Fairway Finder

desc

From MVP to Nationwide Platform - Engineering America’s Smartest Tee Time Tool

author

Sanket Rajeev Sabharwal

filters

All

Case Studies

Thought Leadership

Solutions

Date

Name

11/19/25

Feature engineering decides Machine Learning outcomes

desc

Feature engineering shapes how models understand signals and it determines whether they perform well once deployed. This article explains why well structured features drive model accuracy and reliability in machine learning systems.

author

Anja Brtan

11/14/25

The Machine Learning Checklist

desc

Learn how to assess your organization or project's readiness for Machine Learning. In this guide we cover highly important aspects such as data quality, infrastructure, team setup, and ROI to help you derive deep business value. Ideal for leaders and teams planning to scale data-driven solutions responsibly and effectively. Can also be utilized by hobbiests for their solo projects.

author

Sanket Rajeev Sabharwal, Yuriy Onyshchuk, Anja Brtan

8/1/25

eBay Market Signals

desc

Scalable insights for eBay arbitrage advantage.

author

Yuriy Onyshchuk

7/15/25

MMA Betting Intelligence

desc

Machine learning predicts fight outcomes profitably.

author

Yuriy Onyshchuk

7/1/25

NBA Betting Engine

desc

Predictive ROI from real-time NBA data and inference on the fly.

author

Yuriy Onyshchuk

6/15/25

NCAA Betting System

desc

College basketball predictions with real-time accuracy.

author

Sanket Rajeev Sabharwal

6/1/25

FMCG QA on Edge

desc

Real-time dimension and damage detection on conveyors.

author

Yuriy Onyshchuk

5/1/25

Fairway Finder

desc

From MVP to Nationwide Platform - Engineering America’s Smartest Tee Time Tool

author

Sanket Rajeev Sabharwal

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