Top 10 AI Startups to Watch in Cyprus in 2026

Table of Contents

• Cyprus’s AI tasting flight
• Omilia
• Malloc
• Moveo.AI
• Nodes & Links
• Placy
• RAVATAR
• Soula
• Aseto
• Electryone AI
• PlantIn
• Reading the scorecard
• Frequently Asked Questions

Omilia

Omilia is the glass on the table that smells familiar but tastes global. From its Limassol base, the company has built DiaManT, an end-to-end conversational-AI platform that powers human-like customer service for enterprises. With roughly €18.4M in Series A funding and blue-chip customers such as Vodafone, Enel, and Alfa Bank, it regularly appears in analyses like Tracxn’s list of top AI companies in Cyprus.

From IVR mazes to natural dialogue

Legacy IVR systems force callers through rigid menus, driving up costs and abandonment rates. Omilia’s DiaManT platform replaces that with unstructured, free-form conversations. Its NLU stack handles noisy, real-world speech, authenticates callers, routes them intelligently, and often resolves issues without a human agent. At scale, that means tens of millions of calls each month being handled by AI that can interpret intent, disambiguate follow-up questions, and stay within highly regulated workflows.

Why a Limassol HQ matters

Omilia’s choice of Limassol plugs it straight into a corridor of banks, payment providers, and iGaming operators that need high-volume, multilingual support. Cyprus’s IP-friendly legal framework, extensive double-tax treaties, and EU membership make it a natural base for serving customers across Europe, the Middle East, and CIS. Directories such as the complete 2026 directory of AI companies in Cyprus now cite Omilia as proof that local product companies can lead, not just outsource, in enterprise AI.

Signals for 2026

Looking ahead, Omilia sits in that interesting space where deep tech meets consolidation pressure.

• Strong M&A potential as CCaaS vendors and hyperscalers seek mature voice-AI stacks with real enterprise logos.
• Clear runway to expand DiaManT into more multilingual, compliance-aware voicebots tuned to EU financial and telco regulation.
• For engineers in Cyprus, one of the few environments where you can work on production-scale speech systems rather than proof-of-concept chatbots.

Malloc

Malloc is the quiet, high-proof shot in this tasting flight: small glass, big kick. From a compact Nicosia office, the team has turned on-device AI into a serious business, crossing roughly €920K (≈$1M) in revenue by 2024 with just 7 people and more than 1M app downloads. It was also the first Cypriot startup accepted into Y Combinator, a milestone often highlighted when local media like Cyprus Mail surveys the island’s emerging AI scene.

Problem: “Security” that phones home

Most consumer security apps still send sensitive telemetry to the cloud. That’s a nightmare in a Europe shaped by GDPR, the Digital Markets Act, and tighter AI rules. Users install tools meant to protect them and end up feeding data into opaque backends that can be breached, monetised, or subpoenaed.

Product: AI that stays on your device

Malloc flips the model. Its app runs AI models directly on the phone to detect spyware, shady permissions, and anomalous network behaviour. Suspicious patterns trigger alerts and remediation suggestions without raw data ever leaving the device. Co-founder Maria Terzi’s PhD-level background from the University of Cyprus shows in the emphasis on robust models rather than flashy UIs.

• On-device inference instead of cloud logging
• Behavioural analysis of installed apps and traffic
• Consumer subscription model with strong unit economics

Why it matters for Cyprus’s AI talent

For engineers and data scientists here, Malloc is a benchmark for what a lean, export-focused startup can look like: deep ML, clear privacy story, global consumer traction. Platforms such as GetLatka’s ranking of Cyprus SaaS companies now use Malloc as evidence that Cyprus doesn’t just host dev centres - it ships security products competitive in US and EU app stores.

As regulators push harder on data minimisation and model transparency, the bet that intelligence should live as close as possible to the user’s device looks less like a niche and more like a category-defining move.

Moveo.AI

In Nicosia’s business district, Moveo.AI is quietly becoming the “house LLM” for enterprises that tried generic chatbots and got burned. The company builds generative-AI agents on top of proprietary language models, and in 2025 it secured about €2.3M in seed funding led by Eleven Ventures, as covered by The Recursive’s deep dive into the round. Its platform already powers thousands of AI agents across more than 21 languages, with usage measured in resolved tickets and deflected calls rather than vanity “engagement” metrics.

From toy chatbots to accountable agents

Most corporates experimented with off-the-shelf LLM APIs and hit the same walls: hallucinated answers, data leaving the EU, and bots that couldn’t follow internal workflows. Moveo.AI responds with an architecture that ingests company documents, FAQs, CRM data and policies, then wraps LLM capabilities in guardrails that keep every answer on-script and auditable.

• Domain-tuned LLMs hosted with EU-grade data residency
• Agent orchestration that enforces workflows and escalation rules
• Optimisation around resolution rate and handling time, not clicks

Cyprus as an AI compliance lab

Operating from Nicosia, Moveo.AI sits in the sweet spot between local R&D (University of Cyprus labs are a short drive away) and regulated customers in banking, insurance and telecom. As investors shift toward “full-stack, outcome-driven AI-native companies,” a trend analysed by The Branx’s 2026 tech outlook, Moveo.AI’s focus on measurable CX outcomes and data governance looks well timed.

Why it’s a key glass in the tasting flight

For ML engineers on the island, Moveo.AI offers exposure to production LLM systems where latency, cost, and legal risk all matter. For buyers, it’s a way to experiment with generative AI agents that respect EU rules, ahead of the AI Act’s tightening standards, while leveraging Cyprus’s favourable IP regime and 12.5% corporate tax to centralise their AI stack in one East-Mediterranean hub.

Nodes & Links

Far from chat interfaces and wellness apps, Nodes & Links is the glass filled with concrete, steel, and Gantt charts. With more than €25M in private investment and a strong operational footprint in Cyprus, it aims its graph-based AI at the $12T global construction sector, a space where even a 1-2% efficiency gain is worth billions. Local overviews such as Cyprus Business Group’s feature on startups making global waves now routinely cite it as one of the island’s most globally ambitious plays.

Turning megaproject chaos into computable risk

Large infrastructure projects routinely blow past budgets and deadlines because humans simply can’t reason about thousands of interdependent tasks and risks. Nodes & Links applies graph-based AI and predictive analytics to detailed project schedules, surfacing fragile dependencies, likely delay patterns, and mitigation options long before they become front-page scandals.

In practice, that means project managers get an AI co-pilot that can:

• Continuously scan schedules for emerging risk patterns
• Quantify the impact of slippage in specific activities
• Recommend schedule tweaks that minimise knock-on delays

Cyprus as an infrastructure testbed

Cyprus is in the middle of its own infrastructure build-out - ports, tourism assets, energy projects, and digital upgrades - making it an ideal testbed market for Nodes & Links. The company can plug into consortia funded by EU structural instruments and Horizon Europe while leveraging R&D incentives described in Cyprus Profile’s overview of research and development support.

What to watch in 2026

• Public-sector adoption: National infrastructure programmes in Cyprus and Greece running Nodes & Links as their scheduling backbone.
• Tier-1 alliances: Deeper partnerships with global engineering and construction firms already funnelling work through Limassol and Nicosia.
• IPO trajectory: Given its funding scale and market, it sits firmly in the late-2020s European IPO candidate cluster, with Cyprus as a key operations node.

Placy

Real estate is one of Cyprus’s loudest markets, and Placy is the glass that captures that energy in a focused pour. Headquartered in Limassol, the startup is building a vertical AI assistant for agents and buyers, backed by a seed round of about €1.02M (≈$1.11M) led by Zubr Capital in late 2024. Its tools are already being adopted by agencies across Cyprus and Greece, earning it a spot in EU-Startups’ list of Mediterranean innovation leaders.

On the ground, agents still juggle property portals, WhatsApp chats, email threads, and spreadsheets. That fragmentation wastes time and buries signals about which buyer is serious or which property is mispriced. Placy’s bet is that an AI-native layer can sit over all of this, continuously learning from interactions and market data to orchestrate the next best action for each deal.

• Qualify and prioritise inbound leads based on behaviour and profile
• Match buyers to listings using preference models, not just filters
• Assist with valuation by learning from local transaction patterns
• Prepare negotiation prompts and follow-up sequences for agents

Because it starts in Cyprus, Placy is trained from day one on a multilingual, high-stakes environment: Limassol towers, Paphos holiday homes, Nicosia suburbs, buyers cycling between Greek, English, and Russian. That makes the island both a laboratory and a reference market for expansion into Greece, Israel, and nearby Gulf hubs.

For AI practitioners, Placy is a chance to work on recommender systems, pricing models, and workflow automation that directly touch daily life on the island. The team’s public roadmap on the Placy AI blog hints at a full-stack operating system for agencies - where the “CRM” is less a database and more a continuously learning colleague.

RAVATAR

In a city known for its iGaming banners and fintech billboards, RAVATAR is the Limassol startup turning faces into infrastructure. It offers “Avatar-as-a-Service”: generative AI that powers real-time, photorealistic digital humans who can front customer-support desks, live shopping streams, or virtual events. Industry roundups, including the 2026 AI company directories, now place RAVATAR alongside more traditional B2B platforms as one of Cyprus’s standout bets on immersive customer experience.

From static avatars to living interfaces

Most brands experimenting with “virtual agents” still rely on canned animations or pre-rendered video. RAVATAR’s stack goes further, generating real-time 3D avatars whose speech, micro-expressions, and gaze are driven by proprietary models. That makes it viable for two-way conversations in support, sales, or education, not just marketing stunts.

• Generative models for lip-sync, facial expressions, and gestures
• APIs that plug into existing chat, voice, or video systems
• Support for different visual styles, from realistic to stylised

Why Limassol is the right “studio”

Limassol’s dense cluster of online entertainment, iGaming, and payment firms provides a ready-made pool of early adopters who care deeply about engagement metrics and lifetime value. Many already outsource 3D work and customer operations, making a switch to AI-driven digital humans an incremental, not radical, step. Global directories like TechBehemoths’ ranking of AI companies in Cyprus now point to RAVATAR as an example of how the island is moving beyond back-office dev into front-of-house innovation.

Career angles for Cyprus-based AI talent

For ML engineers and technical artists in Cyprus, RAVATAR offers a rare mix: sequence models, computer vision, graphics, and UX research under one roof. As customers push for watermarking, identity verification, and compliance with EU deepfake rules, there is room to work at the frontier of both technology and policy. Ecosystem platforms such as F6S’s catalogue of Cypriot AI companies increasingly highlight these hybrid skill sets as the island’s next competitive advantage.

Soula

Among all the glasses on Cyprus’s AI table, Soula (sometimes styled SOULA) is the one built around a very specific moment in life: fertility, pregnancy, and the messy, often lonely postpartum months. Based in Limassol and backed at the seed stage by investors like Fulcrum Ventures and Mount Venture Capital Fund, it is steadily growing a B2C user base across Europe with an AI companion designed specifically for women’s health and emotional wellbeing.

The pain point is painfully familiar to many here: generic pregnancy apps, scattered advice from forums, long waits to see a specialist, and the stigma that still surrounds perinatal anxiety or depression. In Cyprus and the wider region, strong family cultures can make it even harder to admit you’re struggling. Soula tries to fill that gap with an always-on, judgement-free guide that knows what week you’re in, what symptoms you’ve reported, and how your mood has shifted over time.

• Personalised journeys across fertility, pregnancy, and postpartum
• AI-driven check-ins that adapt to behavioural and mood signals
• Escalation pathways to human experts when risk patterns appear
• Content grounded in medical input, not just social chatter

Cyprus’s dense network of private clinics and its increasingly vibrant startup scene make it an agile pilot market. The country’s innovation agency highlights the historic rise of Cyprus’ startup ecosystem as a product of targeted grants and support programmes - exactly the kind of environment where digital health experiments like Soula can move faster than in larger, more bureaucratic EU centres.

Looking ahead, the big questions for Soula are about depth: can it secure clinical validation, CE markings, or structured collaborations with insurers and employers, turning a wellness companion into a recognised digital therapeutic? With the Chief Scientist’s office pushing a bold national AI agenda, outlined on the official AI strategy hub, there is institutional appetite for exactly this kind of high-impact, regulated innovation.

Aseto

Aseto is the voice on the other end of the line that you never realise is synthetic. Based out of Larnaca and sitting in the seed/early-growth stage, it builds human-like voice agents that automate both inbound and outbound calls. Early deployments span retail, healthcare, and municipal services in Cyprus and Greece, showing that the product already works in the noisy, accented, code-switching reality of Eastern Mediterranean phone calls.

The problem it tackles is stubbornly analogue: appointments, delivery confirmations, reminders, debt-collection nudges and basic customer queries still happen by phone, often through understaffed call centres. Traditional IVR trees frustrate callers, while many cloud-only voice-AI APIs raise data-sovereignty concerns. Aseto’s platform offers natural, turn-taking dialogue plus on-premise or private-cloud deployment, a combination that appeals to hospitals, municipalities, and conservative SMEs that want automation without shipping recordings to a US hyperscaler.

Larnaca as a service and logistics hub

Anchoring in Larnaca gives Aseto immediate access to airport-adjacent logistics firms, regional healthcare providers, and local authorities looking to modernise citizen services on tight budgets. It also positions the company within a growing ring of AI consultancies and integrators centred on Nicosia and Larnaca; firms listed in resources like roundups of AI consulting companies in Cyprus are natural channel partners for packaging Aseto’s agents with broader digital-transformation projects.

What to watch next

• Vertical depth: Specialised call flows for healthcare, local government, and SMB retail, where scripts repeat and margins are thin.
• Integrator deals: Expansion via telephony integrators and BPO providers rather than pure direct sales, mirroring the partnership-driven growth seen in other Cypriot AI firms backed by funds highlighted by the European Investment Bank’s coverage of Cyprus venture capital.
• Acquisition potential: Regional telcos or larger voice-AI platforms may view Aseto as a fast way to own compliant, on-premise deployments in the Eastern Mediterranean.

For AI and speech engineers based in Cyprus, Aseto offers exposure to real-time audio processing, dialogue management, and telephony integration - all within an environment where EU data rules and local language quirks are first-class design constraints, not afterthoughts.

Electryone AI

Electryone AI is the glass on the table that tastes of solar panels, diesel backup, and volatile kWh prices. Headquartered in Nicosia and operating at a growth-oriented seed stage, it applies machine learning to the hard economics of when businesses should consume, store, or sell power. In a country where electricity prices sit among the highest in the EU and grid constraints are a daily reality, its proposition lands with immediate urgency.

AI in the engine room of the energy transition

The core problem Electryone tackles is simple to describe and hard to execute: energy costs and grid instability are now existential risks for many commercial and industrial sites. Electryone’s platform ingests data from on-site loads, generation assets, storage, and market prices, then uses predictive models to recommend optimal dispatch strategies.

• When to draw from or feed into the grid
• How to charge and discharge batteries to hedge volatility
• Which loads to shift or shed to avoid peak tariffs

This isn’t a pure-software play dropped from abroad. Electryone works closely with hardware vendors to bundle its AI into end-to-end energy systems, turning abstract optimisation into concrete savings and emissions cuts for hotels, factories, and logistics hubs.

Cyprus as a stress-test grid

As an island with limited interconnections and ambitious renewable targets, Cyprus provides an almost perfect stress-test environment. Local media covering Cyprus startups presenting AI and digital solutions globally now highlight Electryone AI as emblematic of this: build where the pain is sharpest, then export to other island and peripheral grids.

Signals to watch from Nicosia

Partnering with 33East, a Cyprus-based venture fund backed by the European Investment Bank, gives Electryone both capital and policy-level alignment with EU decarbonisation goals. The key 2026 signals are deeper integration with grid operators, more hardware alliances around solar and storage, and early cross-border deployments that prove a model refined on Cyprus can scale across the wider Mediterranean energy landscape.

PlantIn

PlantIn is the surprise glass in Cyprus’s AI flight: built in Limassol, but poured in living rooms and balconies around the world. Focused on AI-powered plant identification and care, the app has attracted more than 25M+ users globally, backed by international consumer-app investors rather than pure B2B funds. In a startup ecosystem often dominated by fintech and enterprise SaaS, PlantIn proves that a mass-market B2C AI product can be architected and operated from the island.

The problem is simple: most plant owners can’t reliably identify species, diagnose diseases, or remember nuanced care routines. PlantIn tackles this with computer vision and recommendation models. A quick photo flags the species; follow-up shots help detect common issues like nutrient deficiencies or pests, and the app then generates tailored care plans. Paid subscription tiers unlock deeper diagnostics, scheduling, and reminders that nudge users toward healthier plants over time.

• Instant image-based plant identification using CV models
• Diagnosis suggestions based on leaf, stem, and soil symptoms
• Personalised care schedules and push reminders
• Premium subscriptions for advanced guidance and insights

Running a product like this from Limassol matters. Cyprus’s 12.5% corporate tax rate, IP-friendly regime, and lower operating costs help stretch consumer-app unit economics, while English-fluent engineering teams support global markets from a single East-Med base. For local ML and data engineers, PlantIn offers exposure to noisy, real-world datasets at consumer scale, not just enterprise proof-of-concepts.

The competitive bar is high: global guides to top computer vision companies show how crowded visual AI has become. That makes PlantIn’s next moves critical: turning a huge free user base into sustainable ARPU through partnerships with gardening brands and retailers, and pushing more intelligence to the edge with offline diagnosis and AR overlays that help users care for their plants anywhere on the island - or far beyond it.

Reading the scorecard

By now the table is almost empty, just a few stained glasses and a scorecard full of circles, arrows, and scribbled notes. You’ve tasted enterprise voice systems and avatar engines, on-device security and plant-recognition apps, grid-optimisation tools and femtech companions. Lining them up as a “Top 10” was useful - but the real insight came from noticing how differently each one sits in the mouth.

One cluster leans hard into enterprise workflows: contact centres, project scheduling, voice agents, and LLM-powered support. Another group is built around risk and resilience - securing phones, stabilising energy costs, supporting women’s health. A third is unabashedly vertical or consumer-focused, from real estate deal rooms to digital humans and plant care. Together they show an ecosystem that is less about inventing new algorithms and more about owning data, niches, and execution.

That pattern mirrors how local leaders describe the island’s trajectory. In a widely shared analysis of Cyprus’s rise in startup rankings, Theodoros Loukaidis talks about an ecosystem “expanding rapidly” on the back of targeted funding and imported talent, with founders leveraging the country’s regulatory, tax, and geographic positioning to build regionally significant companies. You can see that thesis play out, glass by glass, in the startups profiled here and in stories like Cyprus climbing the global startup rankings.

For investors, that means hunting for fit, not just rank: which “vintage” aligns with your sector, horizon, and risk appetite. For engineers, it’s a prompt to look past brand names and ask where the most interesting data, constraints, and teams live. And for anyone retraining into AI - whether through a university lab or an intensive bootcamp - this scorecard is a starting map. The next step is to get out from behind the spreadsheet, visit offices in Nicosia, Limassol, Larnaca, show up at meetups and pitch nights, and start tasting the ecosystem for yourself.

Frequently Asked Questions