Plivo vs Hatz AI
Side-by-side trajectory, velocity, and editorial themes.
Plivo's CPaaS hygiene work — but the feed is now over a year stale.
The most recent entry is from January 2025, and the rest land between August 2024 and November 2024. The visible work covers CPaaS table-stakes: dynamic usage-based pricing, automated India-number activation, self-service security/profile management, expanded CNAM coverage, voice-invoice transparency, and Verify API parameter additions for branded auth flows.
What's in the feed is a steady but unglamorous platform-broadening cadence — geo expansion (India), regulatory plumbing (CNAM, toll-free verification), and pricing flexibility — with no AI, no agentic-voice, no LLM-meets-telephony moves. The bigger signal is the silence: a 16-month gap between the last entry and now, which either means the changelog has moved or the public-facing release stream has gone quiet.
If Plivo is still shipping, the next directional move would almost certainly involve AI voice agents or LLM-powered messaging — every CPaaS peer (Twilio, Vonage, Telnyx) has made that pivot. The absence of any such signal in this batch is consistent with a feed that's no longer the primary changelog surface; the next confirmation will be either a new release stream appearing or a long-overdue entry breaking the silence.
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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