TL;DR: Universal language models, used by most low-cost AI calling platforms, are not suited for real-time conversations — they are slow (2-5 second latency), vulnerable to data leaks due to shared SaaS architecture, and lack natural Lithuanian language comprehension. The specialized POSKAI AI voice engine operates completely differently: it ensures response times of less than 500ms, guarantees strict "per-client" infrastructure isolation, impeccable native Lithuanian language support, and costs from €500/month with no hidden fees. If you want security and seamless conversation, POSKAI is the only logical choice.
Why Standard Universal AI Fails the Phone Call Test
Today's market is flooded with various artificial intelligence solutions, but many are built using universal large language models (LLMs). While these models excel at writing texts, generating emails, or creating code, they completely falter when faced with real-time phone communication. Why? Because human-computer conversation over the phone demands specific resources and an entirely different architecture.
A phone conversation is a dynamic process. The client might interrupt you, ask two questions at once, or speak amidst background noise. Universal LLM solutions typically operate in stages: they must hear the text, process it, formulate a response, and then convert it into sound. Each of these steps adds critical milliseconds, which eventually accumulate into a 2-5 second latency.
Try to imagine a sales or customer service call where after each of your words, there's a three-second deadly silence. This not only crushes conversions but also creates an image of an unreliable, unprofessional company. This is precisely why companies attempting to save money with cheap "LLM wrappers" (shells for universal models) lose customers. A call must be natural; otherwise, it loses its meaning.
The Illusion of Security: "Shared SaaS" vs. POSKAI Isolated Infrastructure
Viena didžiausių ir rečiausiai aptariamų problemų AI industrijoje yra duomenų saugumas ir izoliacija. Dauguma rinkoje esančių AI platformų veikia „shared SaaS“ (bendros programinės įrangos kaip paslaugos) modeliu. Tai reiškia, kad visi platformos klientai — nuo mažos kepyklėlės iki didžiulės logistikos įmonės — dalinasi tais pačiais serveriais, tomis pačiomis duomenų bazėmis ir tais pačiais skaičiavimo resursais.
Jei jūsų dabartinis AI tiekėjas naudoja bendrą infrastruktūrą, paklauskite savęs: kas nutiks, jei vienas iš jų 500 klientų patirs kibernetinę ataką arba vadinamąją „prompt injection“ (užklausų manipuliavimo) ataką? Ar jūsų konfidencialūs klientų telefonų numeriai, pokalbių turinys ir komercinės paslaptys nebus atskleistos? Bendroje infrastruktūroje vienos grandies lūžis dažnai reiškia visos sistemos kompromitavimą.
POSKAI operates entirely differently.
We are not just another shared SaaS solution. The POSKAI platform is built on a "per-client isolation" architecture. Each of our clients receives their own separate, isolated infrastructure instance.
- Your data never intersects with any other client's data.
- Your POSKAI AI assistant's configuration and memory are strictly separated and stored in an isolated environment.
- Every conversation is encrypted with individual keys.
Even if, theoretically, an incident were to occur in one environment, it physically and architecturally could never spread to your space. This is not just a fancy marketing term — it is a fundamental technical solution that protects Lithuanian companies from the catastrophic consequences of data leaks.
Read more about security requirements and architecture in our detailed guide on AI telephony standards (target="_blank").
Invisible Costs: Why "Cheap" Universal Models Become the Most Expensive
When businesses start looking for AI solutions for telephony, they often encounter foreign platforms that seem cheap at first glance. However, "do-it-yourself" solutions and universal LLM "wrappers" hide a multitude of hidden fees that only become apparent after receiving the first monthly bill.
Typical universal LLM solution pricing looks like this:
- Per-minute charges: You pay €0.15–0.30 for every minute. This means you pay not only for the conversation but also for the time the client searches for information, thinks, or simply stays silent. You even pay when the POSKAI AI assistant leaves a voicemail.
- Telephony fees: Platforms often require separate payment to a telecommunications provider (e.g., Twilio) for number rental and connection services.
- Model query fees: Every spoken word is converted into "tokens," for which you pay extra. The longer the call, the more expensive it becomes.
- Support costs: Systems break down, scenarios become outdated, and you need your own programming team to constantly fix errors.
POSKAI addresses this with radical simplicity.
POSKAI pricing starts from €500/month. This is a fully managed service where everything is included: the POSKAI AI engine, telephony, dedicated infrastructure, your personal dashboard, and continuous support. No minute counting, no hidden fees. When you compare the POSKAI price (from €500/month) with the cost of maintaining a standard employee in Lithuania (€2100–3500/month with taxes and workplace), the return on investment becomes immediately obvious.
Comparison: Universal LLM vs. POSKAI AI Voice Engine
The numbers and facts speak for themselves. Here's why POSKAI's specialized technology outperforms generic market solutions that our competitors try to adapt.
| Criterion | Universal LLM ("Wrapper") | POSKAI AI Voice Engine |
|---|---|---|
| Response Speed | 2–5 seconds latency | < 500 milliseconds |
| Infrastructure | Shared by all (Shared SaaS) | Isolated (Per-client) |
| Pricing | Hidden minute and API fees | Fixed (from €500/month) |
| Data Location | USA or other foreign servers | 100% European Union |
| Lithuanian Language | Translated, incorrect grammar | Native, with natural intonation |
| Confidentiality | Risk due to "prompt injection" | Protection against manipulation |
| Analytics | Standard, superficial | Custom dashboard for client |
The Lithuanian Language Challenge: Why Translation Will Never Work Well?
Most global AI platforms think in English. When asked a question in Lithuanian, the process looks like this: Lithuanian audio is converted into Lithuanian text, the text is translated into English, the model postulates an answer in English, the answer is translated back into Lithuanian, and then synthesized into audio. This not only takes forever (creating that undesirable latency) but also generates completely incorrect language, where cases and conjugations are ignored.
The POSKAI AI engine is designed differently. It is not just a translated product. Our voice engine understands and generates the Lithuanian language directly, using native rules and intonations. This means that when POSKAI calls your client, it sounds like a professional manager from Vilnius, Kaunas, or Klaipėda, not like a robot from Silicon Valley trying to pronounce "sąskaita-faktūra" (invoice).
Furthermore, for logistics or tourism companies, automatic language switching is particularly relevant. The POSKAI AI engine can detect the caller's language in real-time. If a client answers in German or Polish, POSKAI seamlessly continues the conversation in the appropriate language without any interruptions. Universal LLMs cannot do this smoothly. You can read more about multilingual communication in our article on multilingual AI customer service (target="_blank").
GDPR and EU AI Act: Legal Responsibility is YOURS, Not the Provider's
When using AI in business, legal requirements are not just a "checkbox" in documents. The European Union's General Data Protection Regulation (GDPR) (target="_blank") and the new EU Artificial Intelligence Act (target="_blank") strictly regulate how customer data must be processed and how consumers must be informed about AI usage.
If you use US-developed platforms (like Bland, Retell, or Vapi) or local solutions that use foreign servers under the hood, your customer data (phone numbers, names, conversation content) may cross EU borders. Under the US "CLOUD Act," the American government has the right to demand any data stored on their servers, regardless of where the client is located. This is a direct violation of GDPR, for which fines can reach up to €20 million or 4% of annual turnover. The most important part: the fine will be imposed on YOU, as the data controller, not the platform, whose Terms of Service usually state that they do not assume responsibility for GDPR compliance.
POSKAI guarantees 100% EU data residency.
All our servers, infrastructure, and data processing operations are strictly within the territory of the European Union. We fully comply with the transparency requirements of the EU AI Act, ensuring that your business operates legally and securely. Our "per-client isolation" and end-to-end encryption ensure that you can sleep soundly, knowing that your clients' data is safe and belongs only to you.
How POSKAI Changes Everyday Life in Different Sectors
The specialized voice engine allows the POSKAI platform to adapt to the most complex business scenarios:
- In logistics companies: Instead of a coordinator calling 30 drivers every morning, the POSKAI AI engine calls all of them in 5 minutes and instantly updates statuses on your dedicated dashboard. Learn more on the logistics and transport use-case page (target="_blank").
- In medical clinics: Vaccine reminders, appointment confirmations, and post-operative care calls are handled 24/7. Isolated infrastructure ensures that sensitive patient health data never leaks externally.
- In B2B sales: 500+ cold calls per day. POSKAI AI identifies interest, filters out only warm leads, and transfers them to your sales team.
Universal LLMs simply cannot handle such a workload with the required speed and security. When every millisecond counts, translation from English and sharing a server with thousands of other companies is the most direct path to unsatisfied customers and lost revenue.
