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About Blackthorn Vision
Blackthorn Vision develops and modernizes software products using .NET, cloud platforms and AI technologies. The company works with international businesses in energy, finance, healthcare and other industries. Its official career pages publish complete role requirements and responsibilities. Individual applicant locations are taken from each opening, while technical articles and company updates come from its official feed.
People & hiring
Company scale, with the denominator visible
Employee figures and vacancy signals describe different things. Each chart names its scope and observation period.
ApplyDjinn hiring evidence · current 30-day window
Explore these jobs →Current open roles
Change versus 2026-11-01.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
7
Current openings · ≤30 days
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Founded
★ 4.2
Rating
Live vacancy evidence
Technology coverage at Blackthorn Vision
Coverage always uses all 7 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 7
- Technologies
- 24
- Hard mentions
- 48
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Company Details
Industry
Software Engineering / .NET & AI
Company size
—
Headquarters
Lviv, Ukraine
Founded
—
Domain
blackthorn-vision.com
Rating
—
The company activity baseline is being collected.
Open roles
7
Technical roles
6 of 7
Observed hiring change
-2 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Current role mix
6 technical · 1 other
86% of currently observed roles are technical.
7 open positions at Blackthorn Vision
Showing the latest 0 here.
Employee perspectives
Reviews of Blackthorn Vision
Publisher ratings on a shared 5-point scale. The overall score averages the available publishers equally.
Glassdoor
Employee ratings and reviews
Open Glassdoor to check its current rating.
DOU
Blackthorn Vision · Ukrainian tech community
39 survey responses
29 written reviews
Observed 2026-10-31
Dated snapshots may differ from the latest source. DOU scores are converted from 100 to 5 by dividing by 20. Survey responses and written reviews are separate counts. Review text stays on the publisher’s site. Glassdoor may require sign-in.
Company monitor
Published about Blackthorn Vision
Official updates and independent stories that name Blackthorn Vision, with dates and source attribution. Each preview opens here first.
Business intelligence services: What they cost and how to choose a provider
Imagine a situation where you assess the last quarter and your sales team says revenue grew by 12%, while finance reports 9%. Both assure you that their numbers come from your own systems. Understanding how this is possible and who is right, if either, is the job of business intelligence services. This guide covers what you’re buying when you hire these services, what it costs, how long it takes, and how to compare providers before you sign a contract. Business intelligence (BI) means turning the data your company already collects into reports and dashboards people use to make decisions about things like weekly cash flow or late supplier deliveries. The goal is one set of numbers that everyone in the company can rely on. Business intelligence services involve the people and work that make this happen. A provider connects your systems and cleans the data that flows through them. Then it agrees with you on how each number is calculated and builds the reports your team will use. Some providers also keep everything running after launch.
Open story →The best telecom software development companies
Search for telecom software development companies, and you’ll find list after list. All claim expertise, but do they actually offer what you’re looking for? Do they have real experience? Can they commit to a multi-year partnership? We checked many companies offering telecom software development and picked 12 with the most solid profiles. They have proven expertise in the field and are known for reliability and a client-oriented approach. The list splits into two groups: platform vendors, which sell you software, and engineering partners that sell you teams to build it. Blackthorn Vision builds custom AI-powered software and extends the telecom platform you run. Operators such as AT&T, Vodafone, or Telefónica own networks and sell connectivity. Telecom software companies build the systems those operators run on: billing, order handling, network monitoring, and customer apps. Search results often blur the two. If a company’s main revenue comes from phone and broadband subscriptions, it’s an operator. You’d buy from it as a customer, and it’s not a candidate for your software project.
Open story →Retail software development companies: 12 vetted partners for store, omnichannel, and supply chain tech
On Black Friday 2025, U.S. shoppers spent $11.8 billion online. Three days later, Adobe expected Cyber Monday spending to peak at about $16 million per minute. If your checkout goes down on a day like that, shoppers move to another store in a few seconds and those sales are hard to win back. Peak-day outages are only the most visible failure. A register that freezes when the store’s internet drops loses sales every week of the year. So do stock counts that drift between the website and the shelf. Payment pages also carry new risk. Since March 31, 2025,PCI DSS 4.0.1 rules require retailers to approve and monitor every script running on them. These are software problems, and they get expensive to fix once a system is live. How often you face them depends on the team you hire to build and maintain your retail systems. This guide compares 12 retail software development companies with public retail work that you can check. For each one, you’ll see what they build, one of their published cases, who they partner with, and where they fit. Besides the profiles, we cover cost, integrations, compliance, and the questions to ask before signing.
Open story →AI in supply chain: Use cases and implementation guide
AI in supply chain management is the use of models that learn from operational data to predict, recommend, or carry out planning and execution decisions: what to buy, how much to stock, where to ship from, and which route to take. Those models sit inside or next to the systems that already run the supply chain, such as ERP, warehouse management (WMS), and transportation management (TMS) software. Gartner forecasts that 60% of enterprises using supply chain management software will have adopted agentic AI features by 2030, up from 5% in 2025. This only shows how quickly the market is moving. This guide covers where AI for supply chain management pays off, where agentic AI fits, and how to connect models to your ERP, WMS, and TMS software. A classic planning tool follows rules and formulas written and tuned by hand. A model learns patterns from history, such as how a promotion in one region shifts demand in another, or how one carrier’s delays cluster before public holidays. That makes it better at messy problems with many variables. It also makes it wrong in new ways when conditions change, which is why the workflow around the model is just as important as the model itself.
Open story →AI in banking: Use cases, explainable AI, and how to deploy it in regulated environments
AI programs in banking can struggle to pass control reviews when they cannot explain how they reached a particular decision or which factors influenced it. That can delay deployment, and every delay adds to the cost of manual fraud reviews, underwriting, and other processes AI was meant to improve. While those issues are being resolved, competitors may already be putting similar systems into production. This blog explains how to avoid those bottlenecks when adopting AI in banking and finance. It covers the key considerations for implementing AI in banking, explores practical use cases, and takes a closer look at where generative AI fits into the financial services landscape. AI in banking means using machine learning, language models, and automated decision systems to do work that banks used to handle with static rules and people: scoring credit, spotting fraud, answering customers, pricing risk, and reading large volumes of documents. A gradient-boosted fraud model retrained weekly and a retrieval-based assistant that answers policy questions are both artificial intelligence banking systems, but they sit under completely different control regimes. Where the system lands depends on who it affects and how reversible the decision is. In general, the use of AI and ML in banking splits into two jobs: systems that rank and flag, and systems that decide.
Open story →The AI-Native SDLC: From Writing Software to Orchestrating It
The AI-Native SDLC is not “developers using a chatbot”. It is a re-shaped delivery lifecycle where agents draft, test, review and ship, while our engineers set the direction, own the architecture and sign off the quality. Same rigour, a fraction of the calendar. Most vendors have stopped at era 2: an autocomplete plugin on top of an unchanged process. The gains only compound when the process itself is redesigned around agents. - Requirements captured by hand, ageing the moment they are signed - Design and architecture as long, serialised documentation cycles
Open story →Custom software development cost: Real ranges, rate cards, and how to budget
Send the same requirements to several vendors and you’ll get back completely different numbers. Some of them can even say that they will only be able to send numbers after you commit to discovery. All these companies have their reasons and, with this blog, we will help you understand them. We will also lead you through the factors that impact the pricing – scope, compliance work, team seniority, and location, and give you the ranges we see in real deals. Most custom software development projects cost between $50,000 and $500,000. A simple internal tool starts near $30,000. A complex regulated enterprise platform can run past $1M. That range is so wide because “custom software” covers numerous services, from a single-purpose web form to a multi-tenant SaaS platform. Asking how much does custom software cost in general gets you an average, and averages hide things that actually set the number. The useful question wouldn’t be how much does custom software development cost in general, but what does your scope, at your compliance level, built by this team cost.
Open story →Fitness app development companies: An independent shortlist
Ten fitness app development companies are compared below on data you can check yourself: Clutch review volume, published minimum project size, hourly rate bands, founding records, and named client work. No company paid to appear here. One of the ten is us, and that is disclosed openly rather than buried. Where a firm’s public record is thin or contradictory, we say so instead of filling the gap. Most fitness apps do not fail on the idea. They fail on the things nobody scoped: the wearable that syncs cleanly in the demo and drops readings in production, the workout video that buffers mid-set on gym Wi-Fi, the HIPAA question legal raises in month four when the architecture is already frozen. Choosing a fitness app development company is mostly an exercise in filtering out noise. Search results for this category are dominated by listicles published by development agencies that place themselves at position one. Those pages are marketing, not research, and the numbers in them tend to travel: one agency invents a performance metric for a competitor, three more copy it, and within a year the figure reads as established fact. This guide takes the opposite approach. Every claim below is traced to a source you can open and check. Where a company’s own marketing makes a claim we could not verify independently, it is marked as self-reported. Where the public record is genuinely unclear, we say that too.
Open story →