Top 10+ Customer Support AI Automation Companies in Lithuania (2026)
Last Updated 05th September 2026 | Category: Top AI Development FirmsList of the Top 10+ Customer Support AI Automation Companies in Lithuania 2026
1. Hyperlink InfoSystem
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Details
| Founded: | 2011 |
|---|---|
| Hourly Rates: | < $25 |
| Employees: | 1000+ |
| Avg. Project Cost: | $2,500,000+ |
| Ratings: |
5.0
497 Reviews
|
Since 2011, Hyperlink InfoSystem has operated as a technology services provider. Hyperlink InfoSystem focuses on Mobile App Development. Hyperlink InfoSystem employs 1000+ people. Clients can expect pricing around < $25/hr, with projects averaging about $100,000. Overall, Hyperlink InfoSystem is one of the options worth shortlisting for a technology project.
Details
| Founded: | 2008 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 250 - 499 |
| Avg. Project Cost: | $2,500,000+ |
| Ratings: |
4.7
6 Reviews
|
SoftTeco has been in business since 2008, delivering technology projects for clients. The company's main offerings are Custom Software Development. Its team includes 500 - 999 specialists working across design, development, and delivery. Typical hourly rates run around $25 - $49/hr, with an average project cost near $2,500,000. Overall, SoftTeco is one of the options worth shortlisting for a technology project.
Details
| Founded: | 2012 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 10 - 49 |
| Avg. Project Cost: | $2,500,000+ |
| Ratings: |
4.1
6 Reviews
|
MobeXS has been in business since 2012, delivering technology projects for clients. Their core services include Mobile App Development and QA & Software Testing. With 10 - 49 people on staff, MobeXS can take on projects of varying size. Typical hourly rates run around $25 - $49/hr, with an average project cost near $25,000. This gives a quick snapshot of what to expect when working with MobeXS.
Details
| Founded: | 2008 |
|---|---|
| Hourly Rates: | $50 - $99 |
| Employees: | 500 - 999 |
| Avg. Project Cost: | $5,000,000+ |
| Ratings: |
4.4
7 Reviews
|
Devbridge Group is a technology company founded in 2008. The company's main offerings are Mobile App Development and Custom Software Development. Devbridge Group employs 500 - 999 people. Clients can expect pricing around $50 - $99/hr, with projects averaging about $2,500,000. These details offer a useful starting point when evaluating Devbridge Group.
Details
| Founded: | 2014 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 2 - 9 |
| Avg. Project Cost: | $25,000+ |
| Ratings: |
4.2
6 Reviews
|
Since 2014, Ivejas has operated as a technology services provider. Their core services include Custom Software Development. The company operates with a team of 2 - 9 professionals. Clients can expect pricing around $25 - $49/hr, with projects averaging about $25,000. This gives a quick snapshot of what to expect when working with Ivejas.
Details
| Founded: | 2012 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 10 - 49 |
| Avg. Project Cost: | $100,000+ |
| Ratings: |
4.1
6 Reviews
|
Bitsens is a software development company that turns ideas into working products. Their core services include Mobile App Development and Custom Software Development. With 10 - 49 people on staff, Bitsens can take on projects of varying size. Clients can expect pricing around $25 - $49/hr, with projects averaging about $5,000,000. This profile is a starting point — reach out to Bitsens directly to discuss project specifics.
Details
| Founded: | 2016 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 50 - 249 |
| Avg. Project Cost: | $10,000+ |
| Ratings: |
4.3
6 Reviews
|
Waynord works with clients to plan, build, and ship digital products. The company's main offerings are Mobile App Development. The company operates with a team of 50 - 249 professionals. Clients can expect pricing around $25 - $49/hr, with projects averaging about $25,000. This profile is a starting point — reach out to Waynord directly to discuss project specifics.
Details
| Founded: | 2005 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 10 - 49 |
| Avg. Project Cost: | $25,000+ |
| Ratings: |
4.4
8 Reviews
|
Xplicity has been in business since 2005, delivering technology projects for clients. The company's main offerings are Mobile App Development. The company operates with a team of 10 - 49 professionals. Typical hourly rates run around $25 - $49/hr, with an average project cost near $100,000. Overall, Xplicity is one of the options worth shortlisting for a technology project.
Details
| Founded: | 2010 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 10 - 49 |
| Avg. Project Cost: | $50,000+ |
| Ratings: |
4.3
6 Reviews
|
Businesses looking for a reliable technology partner often consider Nordcode. The company's main offerings are Mobile App Development. With 10 - 49 people on staff, Nordcode can take on projects of varying size. Clients can expect pricing around $25 - $49/hr, with projects averaging about $5,000,000. This gives a quick snapshot of what to expect when working with Nordcode.
Details
| Founded: | 2003 |
|---|---|
| Hourly Rates: | $25 - $49 |
| Employees: | 50 - 249 |
| Avg. Project Cost: | $50,000+ |
| Ratings: |
4.8
8 Reviews
|
TeleSoftas has been in business since 2003, delivering technology projects for clients. The company's main offerings are Mobile App Development and Custom Software Development. TeleSoftas employs 50 - 249 people. Typical hourly rates run around $25 - $49/hr, with an average project cost near $50,000. These details offer a useful starting point when evaluating TeleSoftas.
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Got questions about our specialized technology solutions? We have the answers to help you make informed decisions.
The best AI Development companies in Lithuania share a few common traits: a portfolio of shipped, real-world products, verified client feedback rather than self-reported testimonials, and a team structure built for accountability instead of just headcount. They can point to specific outcomes — faster load times, higher conversion, successful launches — rather than vague claims of expertise. Cross-checking a shortlist against independent reviews is the fastest way to separate genuinely strong AI Development firms in Lithuania from those that simply market well.
Enterprise-ready AI Development companies in Lithuania tend to look different from smaller shops in a few specific ways: named project leads instead of rotating contacts, documented change-management processes, and infrastructure experience that goes beyond a single client's traffic level. Many carry ISO or SOC-type certifications as a baseline, but the real signal is whether they can describe a past engagement of comparable scale in concrete detail. A AI Development firm in Lithuania that hesitates on that question probably hasn't done it before.
Yes — a good number of AI Development companies in Lithuania have built their client base primarily from overseas, particularly across North America and Western Europe, and have the operational habits to prove it: documented handoffs, async-friendly communication, and contracts written with international clients in mind. If cross-border delivery matters to you, ask a AI Development firm in Lithuania directly for a reference from a client in your own country rather than taking "we work globally" at face value.
Lithuania turns out a steady stream of engineering talent each year, and the stronger AI Development companies in the region have built real depth across current frameworks, cloud infrastructure, and mobile platforms rather than relying on a handful of senior people. For larger projects, ask specifically how a firm staffs beyond its founding team — that answer tells you whether their bench is genuinely deep or whether growth would strain it.
Rankings for AI Development companies in Lithuania are built from a mix of verified client reviews, the depth and relevance of each firm's portfolio, market presence, and how responsive they are on the platform itself — not a single self-reported score. Our team cross-checks submitted project details against client interviews wherever possible, so a company sitting near the top of the Lithuania list has that position backed by more than its own marketing.
The firms that rank well among AI Development companies in Lithuania typically have verifiable client references, a track record of finished (not just started) projects, relevant certifications, and consistently positive feedback across multiple engagements — not just one standout case study. Self-reported claims with nothing to back them up carry little weight here; documented outcomes do.
Yes — you can filter AI Development companies in Lithuania by budget range, hourly rate, team size, and area of specialization before reaching out to anyone. Pairing those filters with review scores usually gets you to a realistic shortlist in a few minutes instead of manually working through every listing in the category.
Skip past the summary and go straight to the portfolio examples, the full text of client reviews (not just the star rating), and how long the company has been operating. Reviews that mention specific, measurable results — a faster checkout flow, a successful migration, fewer support tickets — tell you far more than generic praise. It's also worth checking whether the AI Development firm in Lithuania responds to reviews at all, since that habit tends to mirror how they handle feedback during an actual project.
AI Development companies in Lithuania that take this seriously build with SEO baked into the architecture from day one — clean URL structures, fast load times, mobile-first layouts, and proper schema markup — rather than bolting it on after launch. A AI Development firm in Lithuania that treats search performance as an engineering responsibility, not a marketing afterthought, tends to produce sites that actually rank.
Most experienced AI Development companies in Lithuania have done this kind of integration many times over — Salesforce, HubSpot, Zoho, and similar platforms are common enough that it's rarely a novel problem. What matters more is giving your AI Development partner in Lithuania a full, honest picture of your current stack upfront, so the integration is built cleanly instead of patched together after the fact.
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