We work by following our principles throughout this process. That means, we don’t look for cutting corners to generate something fast or deliver something simpler. It's not just that it causes more harm than good.
Every business project has a high responsibility attached to it. To us, it means more than a lot.
Our advantage is, devised by us, our own technique and integrated approach. AI-driven insights come from a variety of backgrounds. Thanks to that, it offers a fair way to optimize business processes, generate more profits, and identify new markets (without using magic dust or new-fangled solutions).
In reality, and based on our experience, 80% of the development time for any AI project is data processing. Without it, you can't build an AI-powered product - or at best, something that imitates it. And you won't be able to achieve better market fit and be more innovative. It's a road to nowhere.
AI product development is a process with no strings attached.
Each stage is clearly defined: from discovery to validation to implementation.
We follow this schema to accelerate and improve AI product development every day. This is what makes our clients' projects successful.
We work by following our principles throughout this process. That means, we don’t look for cutting corners to generate something fast or deliver something simpler. It's not just that it causes more harm than good.
Every business project has a high responsibility attached to it. To us, it means more than a lot.
Our advantage is, devised by us, our own technique and integrated approach. AI-driven insights come from a variety of backgrounds. Thanks to that, it offers a fair way to optimize business processes, generate more profits, and identify new markets (without using magic dust or new-fangled solutions).
In reality, and based on our experience, 80% of the development time for any AI project is data processing. Without it, you can't build an AI-powered product - or at best, something that imitates it. And you won't be able to achieve better market fit and be more innovative. It's a road to nowhere.
AI product development is a process with no strings attached.
Each stage is clearly defined: from discovery to validation to implementation.
We follow this schema to accelerate and improve AI product development every day. This is what makes our clients' projects successful.
AI Overview
Performance snapshot
QuantUp is a data science and custom software development firm with a consistent track record across algorithm development, BI analytics, and process automation. All seven reviews originate from a single platform, with ratings uniformly high and no negative feedback recorded. Standout projects include a bacteria-identifying algorithm achieving 98% accuracy and a recommendations engine built for a global energy corporation. The overall profile is strong, though the review base is limited in breadth and recency.
Performance breakdown
Technical expertise
StrongReviewers highlight QuantUp's proficiency in machine learning, image processing, algorithm development, and BI analytics. A bacteria-identification algorithm achieving 98% accuracy and a recommendations engine built with ML frameworks for Schneider Electric confirm high-density technical delivery.
Project management & delivery
StrongMultiple clients confirm on-time, within-budget delivery, including an MVP delivered within timeline for ZREMB and a full-year energy project meeting ambitious deadlines. Schedule sub-ratings are 5.0 across nearly all reviews, with no reported delays.
Communication & collaboration
StrongClients consistently praise seamless information exchange, transparency, and business-goal alignment. Schneider Electric's VP noted the team felt like part of their own company, and Transcash.eu commended QuantUp's ability to discuss complex topics accessibly.
Reliability
StrongAcross all seven engagements, deliverables met client expectations with no reported bugs or post-delivery failures. The Goldschmidt review notes a quality sub-rating of 4.0, though this is isolated and accompanied by strong schedule performance and responsiveness.
Client satisfaction & outcomes
StrongTangible outcomes include a 98% accurate bacterial identification algorithm, actionable sales insights from a recommendations engine for a Fortune 500 client, and a debt portfolio valuation tool enabling effective pricing decisions. Willingness-to-refer scores are 5.0 across all reviews.
Best for
QuantUp is best suited for mid-market to enterprise clients requiring advanced algorithm development, machine learning solutions, and data-driven automation — particularly in financial services, energy, and industrial sectors.
Clients info
QuantUp's clients span financial services, energy, manufacturing, and industrial sectors. Engagements include a multinational corporation (Schneider Electric, 10,001+ employees) down to SMEs of 11–50 employees, with the majority of disclosed budgets falling in the $50,000–$199,999 range. Primary industries represented include Financial Services, Energy & Natural Resources, Manufacturing, Industrial & Automation. Typical client size bands include 11-50 Employees, 51-200 Employees, 201-500 Employees, 1,001-5,000 Employees, 10,001+ Employees. Common project budget ranges include $50,000 to $199,999.
Review strength
Seven reviews were analyzed, all sourced from a single platform, which limits cross-platform validation. Reviews span from October 2018 to March 2022, meaning all reviews are more than two years old, and no recent feedback is available to confirm current performance. Review date range: Jun 28, 2021 - Mar 4, 2022.
Performance breakdown
Technical expertise
StrongReviewers highlight QuantUp's proficiency in machine learning, image processing, algorithm development, and BI analytics. A bacteria-identification algorithm achieving 98% accuracy and a recommendations engine built with ML frameworks for Schneider Electric confirm high-density technical delivery.
Project management & delivery
StrongMultiple clients confirm on-time, within-budget delivery, including an MVP delivered within timeline for ZREMB and a full-year energy project meeting ambitious deadlines. Schedule sub-ratings are 5.0 across nearly all reviews, with no reported delays.
Communication & collaboration
StrongClients consistently praise seamless information exchange, transparency, and business-goal alignment. Schneider Electric's VP noted the team felt like part of their own company, and Transcash.eu commended QuantUp's ability to discuss complex topics accessibly.
Reliability
StrongAcross all seven engagements, deliverables met client expectations with no reported bugs or post-delivery failures. The Goldschmidt review notes a quality sub-rating of 4.0, though this is isolated and accompanied by strong schedule performance and responsiveness.
Client satisfaction & outcomes
StrongTangible outcomes include a 98% accurate bacterial identification algorithm, actionable sales insights from a recommendations engine for a Fortune 500 client, and a debt portfolio valuation tool enabling effective pricing decisions. Willingness-to-refer scores are 5.0 across all reviews.