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About Geniusee
Geniusee provides custom software development, cloud, data and AI engineering services. Its first-party vacancy pages publish complete role requirements and responsibilities.
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 2026-10-14.
Technical open roles
Classified from the same current vacancies. This is a hiring mix, not the employee mix.
5
Current openings · ≤30 days
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Founded
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Rating
Live vacancy evidence
Technology coverage at Geniusee
Coverage always uses all 5 active roles as the denominator. Scope only changes which requirement signals count.
- Active roles
- 5
- Technologies
- 26
- Hard mentions
- 25
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Company Details
Industry
Software Engineering / AI Services
Company size
—
Headquarters
Kyiv, Ukraine
Founded
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Domain
geniusee.com
Rating
—
Open roles
5
Technical roles
2 of 5
Observed hiring change
+0 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
2 technical · 3 other
40% of currently observed roles are technical.
5 open positions at Geniusee
Showing the latest 0 here.
Employee perspectives
Reviews of Geniusee
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Company monitor
Published about Geniusee
Official updates and independent stories that name Geniusee, with dates and source attribution. Each preview opens here first.
Outsource iOS app development: models, costs, and partner checks
Quick answer: Outsourcing iOS app development works when you match the engagement model to your product stage, pick native Swift or cross-platform by feature needs, and verify the partner’s live App Store releases. In 2026, senior iOS engineers cost $30–70 per hour in Eastern Europe, and a single-platform MVP typically runs $28,000–72,000. Most teams decide to outsource iOS app development after an internal attempt stalls. A senior iOS developer takes 3-5 months to hire in Western markets, one engineer cannot cover Swift, backend integration, and App Store submission at once, and the roadmap keeps slipping while recruiters send CVs. Meanwhile, Apple moved its submission floor: since 28 April 2026, every build uploaded to App Store Connect must be compiled with Xcode 26 and the iOS 26 software development kit (SDK) or later, which means a stalled iOS project also becomes a compliance problem. This guide covers what decides the outcome of an outsourced iOS project: which engagement model fits your stage, when native Swift beats a shared codebase across iOS and Android, what 2026 hourly rates look like by region, where App Store submissions fail, and which warning signs should end a vendor conversation early. - iOS carries roughly 70% of global consumer app spending on about a quarter of downloads, so the business case for iOS app development rarely depends on install volume.
Open story →Top 8 outsourcing software development companies in Ukraine
Ukraine remains one of the strongest destinations for software development companies in Ukraine to deliver AI, cloud, FinTech, and EdTech work in 2026: exports grew 4.1% in H1 2026, 305,000 specialists are active, and mid-to-senior engineers cost $30–80 per hour. This guide compares 8 vendors by fit, rates, engagement model, and risk. Your roadmap includes an AI feature, a cloud migration, and a compliance deadline. Your hiring plan has 12 open engineering roles and 2 filled since January. At some point, that gap stops being an HR problem and becomes a delivery problem, which is usually the moment someone says, “Let’s look at Ukraine.” The harder question is which companies to look at, because there are 2,200 of them, and their websites promise the same experience. This guide is for CTOs, VPs of Engineering, and founders who need an answer they can defend to the board: which vendors fit which problems, what they cost in 2026, and what to check before signing. You’ll get: - 2026 export, talent, and rate data, so your budget conversation happens before the sales call, not during it
Open story →Property management software development: A practical guide
Property management software development means building a platform that automates rent collection, leases, maintenance, owner reporting, and tenant communication around a specific portfolio. A custom minimum viable product (MVP) typically takes 4-6 months and $60,000-120,000. Building pays off when per-unit fees, integration limits, or local compliance rules outgrow off-the-shelf tools. Property management software development becomes a serious question when spreadsheets, email threads, and disconnected tools stop keeping up with your portfolio. Missed rent payments, slow maintenance responses, and scattered lease documents don’t just create daily friction for landlords and property managers; they directly affect property performance, tenant retention, and revenue. Custom software changes these economics: a platform engineered around your workflows automates rent collection, maintenance pipelines, and owner reporting at a per-unit cost that stays flat as the portfolio grows, instead of scaling with vendor subscription fees. This guide explains what property management software does, which features matter, when a custom software solution makes more sense than an off-the-shelf product, and how the property management software development process works step by step. It also goes one level deeper than most development guides: into the architecture, tech stack, and integration decisions that determine whether a property management platform can survive at real portfolio scale. It draws on Geniusee’s delivery experience in real estate software development, including platforms we built for property managers, rental marketplaces, and proptech companies in the UK, EU, and U.S. - What property management software is, and which types exist for different property types
Open story →The new AI estimating software for leaders
If you have ever watched a promising deal slow down because your team was still deep in manual takeoff work three weeks later, you already know the problem. Traditional project estimation is one of the biggest bottlenecks in software development: it is slow, error-prone, and expensive in both time and labor. AI estimating software is changing this. Artificial intelligence (AI) now handles the part of the job that used to eat an estimator’s week, and the firms adopting it early are getting to a credible number while competitors are still tracing line items. In this guide, you will see exactly what an AI-generated estimate contains, feature by feature, and how the Geniusee AI Estimator takes a founder or product manager from a paragraph of project description to a costed backlog, a phased budget, and a staffed timeline. - Why traditional estimation holds your construction business and software team back - How AI automates the full takeoff and estimation workflow
Open story →Financial asset management software: a practical guide
Financial asset management software helps investment firms and finance teams manage portfolios, track a range of asset classes, and report on performance from one system. It unifies data across the front and back office, keeps positions and valuations current, and takes over the work that spreadsheets still do at most firms. The tools have fallen behind the work. Global assets under management reached a record $128 trillion in 2024, and portfolios now cover more asset classes, report on shorter cycles, and answer to stricter rules than the spreadsheet setups many firms grew up on. Yet 91% of investment firms say they lean too heavily on manual tasks and spreadsheets for work like reconciliation. Positions live in one file, valuations in another, client records in a third, and by the time someone stitches them together the market has moved. Portfolio monitoring slows, small reporting errors slip through, and investment decisions rest on numbers that were already stale when the file was saved. A financial asset management solution closes that gap. Asset managers, advisors, and operations teams all read from one view of assets and liabilities, so the same figure means the same thing on every desk. - Global assets under management hit a record $128 trillion in 2024, yet 91% of investment firms still lean too heavily on manual tasks and spreadsheets.
Open story →Property management software development: A practical guide for 2026
Property management software development becomes a serious question when spreadsheets, email threads, and disconnected tools stop keeping up with your portfolio. Missed rent payments, slow maintenance responses, and scattered lease documents don’t just create daily friction for landlords and property managers; they directly affect property performance, tenant retention, and revenue. Custom software changes these economics: a platform engineered around your workflows automates rent collection, maintenance pipelines, and owner reporting at a per-unit cost that stays flat as the portfolio grows, instead of scaling with vendor subscription fees. This guide explains what property management software does, which features matter, when a custom software solution makes more sense than an off-the-shelf product, and how the property management software development process works step by step. It also goes one level deeper than most development guides: into the architecture, tech stack, and integration decisions that determine whether a property management platform can survive at real portfolio scale. It draws on Geniusee’s delivery experience in real estate software development, including platforms we built for property managers, rental marketplaces, and proptech companies in the UK, EU, and US. - What property management software is, and which types exist for different property types - The core features of property management software: rent collection, lease management, maintenance management, communication tools, and reporting
Open story →Outsource iOS app development: Models, costs, and partner checks
Most teams decide to outsource iOS app development after an internal attempt stalls. A senior iOS developer takes 3-5 months to hire in Western markets, one engineer cannot cover Swift, backend integration, and App Store submission at once, and the roadmap keeps slipping while recruiters send CVs. Meanwhile, Apple moved its submission floor: since 28 April 2026, every build uploaded to App Store Connect must be compiled with Xcode 26 and the iOS 26 software development kit (SDK) or later, which means a stalled iOS project also becomes a compliance problem. This guide covers what decides the outcome of an outsourced iOS project: which engagement model fits your stage, when native Swift beats a shared codebase across iOS and Android, what 2026 hourly rates look like by region, where App Store submissions fail, and which warning signs should end a vendor conversation early. - iOS carries roughly 70% of global consumer app spending on under a third of downloads, so the business case for iOS app development rarely depends on install volume. - 3 engagement models cover almost every situation: a dedicated iOS team for products in active growth, full-cycle project outsourcing for MVPs, and staff augmentation for filling a specific senior gap.
Open story →VMware migration services cost: How AWS OLA and MAP funding work
When people ask me about moving from VMware to AWS and actual migration costs, they rarely start with a technical question. Instead, I hear something like: > “We know we’re overpaying for VMware and licenses. We know AWS is probably where we should end up. But how do we turn that into real numbers and a real plan, not just a deck?” If you recognize yourself in that sentence, you’re exactly the audience AWS had in mind when they created Optimization and Licensing Assessment (OLA) and Migration Acceleration Program (MAP). Both exist because rising VMware licensing costs push teams to price out VMware alternatives long before they have the data to properly compare them. On high‑level marketing slides, this looks linear: run an OLA, gather data, join MAP, secure funding, migrate, celebrate. In real projects, OLA and MAP are more like a pair of frameworks with their own boundaries, prerequisites, and technical details, mainly when your world revolves around VMware, and you’re trying to decide how aggressively to modernize.
Open story →