Sobot Omnichannel Suite vs Glassix (2026)

TL;DR

• Glassix publishes its rates: $49/user (Starter) and $65 (Growth) monthly, $41.65 and $52 annually, with 50,000 and 100,000 bundled bot conversations respectively and a 30-day trial.
• Sobot quotes every deal. Its public positioning is roughly half the cost of comparable Western platforms, with a 15-day trial, but there is no published rate card to check that against.
• Both stack AI on top of unified omnichannel inboxes. Glassix pushes further toward autonomous resolution; Sobot's AI is more copilot-shaped, sitting beside agents rather than replacing them.
• Sobot has the bigger enterprise references and the uptime SLA. Glassix has the more predictable bill.

Two philosophies about what AI is for

Glassix is explicit that AI should run the contact center rather than assist it. Its agents resolve, escalate, and follow up end-to-end on qualified inquiries, and CrystalVoice extends that to phone calls. Multilingual handling works without separate configurations per language, and QA and analytics ship inside the platform. Glassix therefore rewards organizations willing to invest in content and configuration to train the AI properly, and disappoints anyone expecting a conventional help desk with AI bolted on.

Sobot's "Five-AI" architecture is arranged differently: a chatbot covers 24/7 self-service, a copilot feeds agents real-time suggestions, auto-summaries, and knowledge base lookups mid-conversation, and AI analytics handle post-interaction insight. The framing throughout is reducing handle time without replacing agents.

Neither is wrong, but they imply different operating models. Glassix asks you to change how the contact center is staffed. Sobot asks you to make the current one faster.

Pricing transparency splits the shortlist

Glassix's numbers are published and testable. Starter at $49 per user includes unlimited human conversations under fair usage plus 50,000 bot conversations for the account. Growth at $65 doubles the allowance to 100,000 and carries a two-user minimum. Annual billing takes about 20% off both. Enterprise runs through partners with a 500,000-conversation allowance and no published price.

The bundled automation is the unusual part. Most of this category meters AI per conversation or per outcome; Glassix front-loads a large allowance into the cheapest tier, trading average cost for forecastability. A usage-metered competitor is cheaper in a quiet quarter and unbounded during a Black Friday spike; a bundled allowance does not move until exhausted.

Sobot publishes nothing. Pricing is custom-quoted with a 15-day trial as the entry point, and its stated position is roughly half the cost of comparable Western platforms. Treat that as positioning rather than a budgetable number — verifying it means running a sales process.

Two allowance traps worth knowing

Glassix's bot allowance is per plan, not per seat. One person on Starter has an effectively bottomless automation budget; fifteen people share 50,000 conversations, roughly 3,300 each. Growing teams therefore hit the upgrade on allowance rather than features, so plan the path against conversation volume, not headcount.

The other soft edge is "unlimited conversations (fair usage)" — Glassix does not publish the threshold. Such clauses generally exist to stop pathological volume rather than constrain normal operation, but a deployment expecting tens of thousands of human conversations a month should get the figure into the order form during the trial. A vendor unwilling to commit to a number has told you something.

Scale, references, and where support comes from

Sobot's enterprise credibility is the stronger of the two. It serves global brands including Samsung, OPPO, and Philips, supports 18-plus languages natively, and backs a 99.99% uptime SLA — the kind of commitment buyers who cannot afford a bad afternoon write into contracts. Its traction is strongest in Asia-Pacific, and its natural buyer is a mid-market or enterprise e-commerce, retail, or consumer electronics operation with high multilingual volume. That regional strength has a flip side: implementation quality depends heavily on regional Sobot teams, Western-timezone support can lag, and documentation and community resources are thinner than Zendesk or Salesforce buyers expect.

Glassix is newer and carries the corresponding gaps — a smaller integration ecosystem, and some advanced AI capabilities sold as Growth-plan add-ons rather than included in base pricing. Its named verticals read mid-market rather than global enterprise.

The transport bill nobody quotes

Both platforms lead with WhatsApp, and neither vendor's price covers what WhatsApp actually costs. WhatsApp Business and SMS carry carrier and platform fees charged by the providers themselves, per message or per conversation window, entirely outside the software subscription. On a high-volume messaging deployment those fees can comfortably exceed the seat licences. That applies across the omnichannel category rather than to either vendor specifically, but it is the line item that most often surprises buyers who priced the software and forgot the transport — and it can dwarf the difference between these two.

Trials tell you different things

Glassix gives 30 days with no card at both self-serve tiers, double the category norm and long enough to measure the two numbers that determine your plan: actual monthly bot conversation count, and true human volume against the fair-usage clause. Sobot gives 15 days — enough to evaluate the agent workspace and copilot, tighter for establishing whether the AI deflects anything meaningful on your contact mix. Since Sobot's pricing is quoted anyway, the more valuable use of those two weeks is scoping the quote precisely: channels, languages, agent count, and what the SLA actually commits to.

Who should pick what

• Mid-market teams that want a price they can budget from a webpage → Glassix. Sobot cannot answer this.
• High-volume APAC or multilingual e-commerce operations → Sobot, where regional presence and 18-language coverage are real advantages.
• Organizations ready to move from AI-assisted to AI-autonomous resolution → Glassix, and budget the configuration work honestly.
• Teams that want AI to speed up existing agents rather than replace them → Sobot's copilot model is the better shape.
• Buyers who need a contractual uptime commitment → Sobot's 99.99% SLA is the stronger published position.
• Small teams running real automation on a tight budget → Glassix Starter at $41.65 annually with 50,000 bot conversations included.
• Solo operators needing Growth's larger allowance → note the two-user minimum; you pay $130 monthly for one working seat.

Bottom line

The comparison turns on whether you can tolerate a quote-only process, and whether you want AI to run the desk or accelerate it. Glassix is the better-documented commercial proposition — published seats, a generous bundled bot allowance, 20% off for annual, and a trial long enough to commit informedly — provided you accept a smaller integration ecosystem and pin the fair-usage threshold down in writing. Sobot brings heavier enterprise references, deeper language coverage, and a hard uptime commitment, at the cost of budget opacity and support strongest nearest its home markets. Whichever you shortlist, price the WhatsApp and SMS carrier fees separately.