Snotor is an EU software development company headquartered in Riga, Latvia, with an office in London and engineering roots since 2007. We build AI automation for manufacturing, provide nearshore engineering teams, and deliver custom software development end to end for companies in Europe, the UK and the US.
Snotor AI delivers AI and process automation for manufacturing and operationally complex businesses. Our work includes order costing and RFQ automation, BoM generation and validation, production and resource planning, computer vision for quality control, AI agents inside ERP systems, and other process-specific solutions. We map the process behind the bottleneck, validate the approach with a controlled first step, and take successful solutions into production.
Snotor Studio delivers full-cycle custom software development: web platforms, mobile applications, B2B SaaS, internal business systems, integrations and legacy modernization. One team covers discovery, UX/UI, engineering, QA, launch and ongoing support.
Snotor Teams provides staff augmentation and dedicated development teams. Backend, frontend, mobile, QA, DevOps, data and ML engineers can join your product team in 2–4 weeks and work inside your processes. You interview every candidate. Contracting is handled through our Latvian EU entity with DPA, NDA and IP transfer arrangements.
Manufacturing is our flagship focus. We also bring extensive delivery experience across FinTech, HealthTech, SaaS and other complex digital products.
18+ years in operation. 60+ engineers. 450+ projects delivered.
Snotor is an EU software development company headquartered in Riga, Latvia, with an office in London and engineering roots since 2007. We build AI automation for manufacturing, provide nearshore engineering teams, and deliver custom software development end to end for companies in Europe, the UK and the US.
Snotor AI delivers AI and process automation for manufacturing and operationally complex businesses. Our work includes order costing and RFQ automation, BoM generation and validation, production and resource planning, computer vision for quality control, AI agents inside ERP systems, and other process-specific solutions. We map the process behind the bottleneck, validate the approach with a controlled first step, and take successful solutions into production.
Snotor Studio delivers full-cycle custom software development: web platforms, mobile applications, B2B SaaS, internal business systems, integrations and legacy modernization. One team covers discovery, UX/UI, engineering, QA, launch and ongoing support.
Snotor Teams provides staff augmentation and dedicated development teams. Backend, frontend, mobile, QA, DevOps, data and ML engineers can join your product team in 2–4 weeks and work inside your processes. You interview every candidate. Contracting is handled through our Latvian EU entity with DPA, NDA and IP transfer arrangements.
Manufacturing is our flagship focus. We also bring extensive delivery experience across FinTech, HealthTech, SaaS and other complex digital products.
18+ years in operation. 60+ engineers. 450+ projects delivered.
AI Overview
Performance snapshot
Snotor presents a highly consistent performance profile across a large and diverse review base spanning nearly a decade, with the majority of ratings at or near 5.0. The vendor demonstrates particular strength in technical breadth, on-time delivery, and client communication, with recurring praise for a proactive, business-oriented approach. Rating patterns are overwhelmingly Strong across all five categories, with only isolated sub-metric dips noted in cost and schedule on a small number of older engagements. A cluster of low-rating, unverified Google reviews referencing the legacy brand name MassMedia Group introduces a minor credibility caveat, though these lack substantive detail and do not reflect a documented pattern in the primary review sources.
Performance breakdown
Technical expertise
StrongMultiple reviews reference specific technologies including React Native, Ruby on Rails, Laravel, PHP, NodeJS, VueJS, AWS, and computer vision AI. Clients across healthcare, fintech, and e-commerce consistently praised innovative problem-solving and the team's ability to translate complex requirements into functional products.
Project management & delivery
StrongDelivery on time is cited across the vast majority of engagements, including MVP launches, phased app releases, and multi-integration projects. A small number of older reviews noted minor delays and recommended stronger use of project management tooling, but this appears to have been addressed in more recent engagements.
Communication & collaboration
StrongReviewers across multiple platforms and regions consistently highlight responsive, transparent communication via Slack, ClickUp, WhatsApp, and weekly meetings. One review flagged minor early-stage language barriers, and one noted a preference for less frequent touchpoints, but neither reflects a systemic issue.
Reliability
StrongThe anchor review for an AI-powered computer vision MVP references specific technical deliverables, timeline adherence, and validated concept outcomes. A SaaS platform CTO noted code that 'rarely has any issues,' and an e-commerce client reported consistent monthly growth post-launch, supporting a strong reliability profile with minimal bug-related complaints.
Client satisfaction & outcomes
StrongTangible outcomes include a 10% post-reopening sales increase and 5% monthly growth for a dance apparel client, top-five automobile marketplace ranking, improved ASO and SEO conversion rates for an aviation platform, and increased order volume and reduced cart abandonment for a cosmetics client. Willingness-to-refer scores are consistently at or near 5.0.
Best for
Snotor is best suited for startups and SMEs seeking an end-to-end development partner for custom software, mobile apps, and AI-powered solutions. Their track record spans healthtech, edtech, e-commerce, fintech, and SaaS, with a consistent ability to deliver MVPs and scalable platforms within defined budgets.
Clients info
Snotor's client base skews toward small businesses and early-stage startups, with the majority falling in the 1–50 employee range. Industries served include healthtech, edtech, e-commerce, fintech, marketing technology, fitness, automotive, and SaaS. Most disclosed project budgets fall in the $10,000–$49,999 range, with a smaller share of engagements in the $50,000–$199,999 band, suggesting a strong fit for lean, product-focused organizations. Primary industries represented include Health & Wellness / Healthcare, Information Technology & SaaS, Education & EdTech, Advertising, Marketing & SEO, E-Commerce & Retail, Financial Services, Fitness & Sports, Automotive. Typical client size bands include 1–10 Employees, 11–50 Employees, 51–200 Employees. Common project budget ranges include Less than $10,000, $10,000 to $49,999, $50,000 to $199,999.
Review strength
The assessment is based on 100 reviews across 4 platforms, with the most recent dated August 2026 and the oldest from February 2019. The review base is large, recent, and well-distributed across time, providing high confidence in the findings. A cluster of five Google reviews from June–July 2021 are unverified, lack substantive content, and reference the legacy brand name; these were considered but do not materially alter the overall assessment. Review date range: Feb 14, 2019 - Aug 6, 2026.
Performance breakdown
Technical expertise
StrongMultiple reviews reference specific technologies including React Native, Ruby on Rails, Laravel, PHP, NodeJS, VueJS, AWS, and computer vision AI. Clients across healthcare, fintech, and e-commerce consistently praised innovative problem-solving and the team's ability to translate complex requirements into functional products.
Project management & delivery
StrongDelivery on time is cited across the vast majority of engagements, including MVP launches, phased app releases, and multi-integration projects. A small number of older reviews noted minor delays and recommended stronger use of project management tooling, but this appears to have been addressed in more recent engagements.
Communication & collaboration
StrongReviewers across multiple platforms and regions consistently highlight responsive, transparent communication via Slack, ClickUp, WhatsApp, and weekly meetings. One review flagged minor early-stage language barriers, and one noted a preference for less frequent touchpoints, but neither reflects a systemic issue.
Reliability
StrongThe anchor review for an AI-powered computer vision MVP references specific technical deliverables, timeline adherence, and validated concept outcomes. A SaaS platform CTO noted code that 'rarely has any issues,' and an e-commerce client reported consistent monthly growth post-launch, supporting a strong reliability profile with minimal bug-related complaints.
Client satisfaction & outcomes
StrongTangible outcomes include a 10% post-reopening sales increase and 5% monthly growth for a dance apparel client, top-five automobile marketplace ranking, improved ASO and SEO conversion rates for an aviation platform, and increased order volume and reduced cart abandonment for a cosmetics client. Willingness-to-refer scores are consistently at or near 5.0.