tawk.to vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
tawk.to put Telegram in the Inbox and is leaning on AI Assist as the next layer of its free live-chat stack.
tawk.to's Q1 2026 update lands real direction: Telegram joins live chat, WhatsApp, SMS and Facebook Messenger inside the unified Inbox, AI Assist is positioned as 'getting smarter,' and automation continues to expand. The 2025 EOY summary set the table with WhatsApp upgrades and dark mode. Older items in the feed (mobile chat redesign, Video+Voice+Screensharing, Contacts CRM beta) are republished blog posts, not new shipping — but they sketch the broader omnichannel + free-CRM positioning.
tawk.to has held the 'free live chat at scale' position (12M+ businesses claimed) and is now layering omnichannel and AI on top of that distribution. The product is competing with Intercom and Crisp on features but staying free-forever as the wedge — paid revenue comes from add-ons (Video+Voice, AI Assist credits, hire-an-agent). Expect AI Assist to become the next paid surface as token costs become a real lever.
Likely next moves: more channel additions (TikTok DM, Instagram threads), an AI Assist tier that meters generations, deeper Contacts CRM polish to anchor the free-suite story, and possibly a dedicated AI knowledge-base feature trained on the merchant's own content.
Hatz AI is building the AI workspace for MSPs — per-message model routing, tenant tooling, custom MCP.
Hatz AI is shipping at a high cadence across three connected themes. First, model routing: Auto-LLM picks the right model per message based on task and tools, then layered into Lite, Performance, and Turbo tiers; the catalog keeps adding models (Opus 4.7, Gemini 3.5 Flash, Gemini 3.1 Flash Lite, Gemma 4) with per-model credit multipliers surfaced in the UI. Second, MSP control plane: bulk tenant creation via CSV, custom roles with credit limits, workshop access controls, and embedded support chat in the admin dashboard. Third, surface expansion: audio uploads with auto-transcription, image generation in workflows, file output attaching to chats, 60+ supported file types, speech-to-text in chat, and a steady cadence of integrations and custom MCP server improvements.
The product is taking shape as a multi-tenant AI workspace tuned for MSPs and partner-led delivery — the tenant CSV, credit limits, and workshop sharing are unusual for a generalist AI tool and tell you who buys this. Auto-LLM and tiered routing make sense in that context: an MSP needs cost control across many tenants without micromanaging model picks. Custom MCP and the broad integration cadence position Hatz as a tools-aggregator over multiple LLMs rather than a model wrapper.
Expect more MSP-centric controls — per-tenant budgets, white-label theming, billing reconciliation — and Auto-LLM to grow visible routing telemetry so MSP admins can see why a given model was picked. The custom MCP surface is likely to evolve toward a marketplace pattern with shareable MCP packages across tenants.
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