Our verdict
Blackthorn Vision has run product engineering since 2009, reports more than 150 long-term projects and average client engagements of about seven years, and embeds AI and ML into .NET and Azure delivery for regulated industries (about page; AI and ML page). It suits a US or European product company that wants a senior Eastern European team to own modernization or ML features inside a Microsoft stack, and it is less suited to a buyer that wants AI strategy without engineering.
The right buyer
- Biotech and healthcare product teams. For Selux Diagnostics it built machine learning infrastructure and Site Software that turn instrument measurements into antibiotic susceptibility results in about 5.5 hours (Selux case).
- Companies modernizing .NET and Azure products. It positions itself as a Microsoft-focused product engineering partner across discovery, architecture, build, modernization, and long-term support (about page).
- Buyers who need capacity that can surge. Selux’s senior program manager said Blackthorn could “rapidly increase” skilled people during crunch periods while staying embedded (AI and ML page).
Reasons to look elsewhere
- Its deepest public cases sit in Microsoft and healthcare stacks, so buyers outside that world will find fewer references.
- Published rates and minimums are not on the site.
Blackthorn Vision, At A High Level
Mykhaylo Terentyak founded Blackthorn Vision in 2009 and is its chief executive; Yuriy Horak is chief technology officer and Nadiia Gasyuk is chief customer officer (about page). The firm describes itself as an AI-enabled product engineering partner with deep Microsoft expertise, not a traditional outsourcing vendor (about page).
- Engineering offices in Lviv, Warsaw, and Wrocław; LinkedIn lists 113 employees and a Wrocław postal address on Fabryczna (AI and ML page; LinkedIn).
- More than 150 completed long-term projects, Fortune 500 clients, and about seven years of average client engagement by its own count; we estimate annual revenue at $8 million to $12 million (about page).
- AI and ML services cover generative AI, MLOps, computer vision, NLP, predictive analytics, anomaly detection, and user-behavior analytics, usually on top of .NET and Azure foundations (AI and ML page).
- DOU lists it among Polish tech employers with under 10 staff in Poland and a founding year of 2009 (DOU).
Scores by criterion
We scored Blackthorn Vision from its about and AI pages, the Selux case study, LinkedIn company data, and DOU. Delivery model and industry depth score highest; commercial clarity scores lowest because it publishes no terms.
| Criterion | Weight | Score | Basis |
|---|---|---|---|
| Production track record | 20% | 7.0 | 150+ long-term projects since 2009; detailed Selux diagnostics case with production ML. |
| Technical depth | 15% | 7.0 | .NET, Azure, MLOps, computer vision, NLP, and generative AI. |
| Industry depth | 10% | 7.0 | Healthcare, biotech, fintech, energy, manufacturing, and hospitality cases. |
| Delivery model and handoff | 15% | 7.5 | Embedded dedicated teams with multi-year average engagements and surge capacity. |
| Commercial clarity | 10% | 5.0 | No published rates or minimums. |
| Platform independence | 10% | 5.5 | Strong Microsoft and Azure focus; multi-cloud ML tools listed but Microsoft is central. |
| Stability and scale | 10% | 6.5 | Founded 2009; 113 employees on LinkedIn. |
| Independent evidence | 10% | 6.5 | Attributed Selux and unSkript quotes on its site. |
| Overall | 100% | 6.6 | Weighted average |
Where Blackthorn Vision fits
Blackthorn Vision is used by US and European product companies that want a long-term Eastern European engineering partner to modernize .NET systems and add production AI. On price it sits in the middle of Ukrainian and Polish product engineering firms. Competitors on this site include Neoteric and STX Next for Eastern European product teams, and MobiDev for AI-enabled product engineering.
| Need | Fit | Why |
|---|---|---|
| ML inside a regulated biotech or lab product | Strong | Selux NGP Site Software and ML algorithm work. |
| .NET and Azure product modernization | Strong | Core positioning since 2009 with Microsoft depth. |
| Generative AI on enterprise documents | Good | Listed generative AI and NLP services with domain fine-tuning. |
| AI strategy with no build team | Weak | Its model is embedded product engineering. |
What clients and leaders say
Blackthorn Vision’s leaders and clients describe its work in published announcements. One buyer concern is written from public facts about the firm.
“Blackthorn resources are embedded in our team and serve as an extension to our workforce. And during the inevitable crunch periods Blackthorn was able to rapidly increase our access to a skilled resource pool on a temporary basis to meet important milestones.”
“The reliability and quality of the work done by the team are impressive.”
“I approach AI projects from a business perspective first. If a solution doesn’t save time, improve the decision accuracy, or help our client scale more effectively, then the technology alone has little value.”
“They stayed embedded for years and knew .NET and Azure well, but AI work sat on top of that Microsoft stack, so we checked fit before treating them as a pure ML lab.”
Where customer reviews couldn’t be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums and product documentation. Based on: Blackthorn Vision’s about page and its AI and ML services page.
Who leads Blackthorn Vision
Mykhaylo Terentyak founded Blackthorn Vision in 2009 and is its chief executive (about page).
