ThinnestAI vs Pipecat
Pipecat is the leading open-source pipeline framework for voice agents. ThinnestAI is a managed platform — built on LiveKit Agents (another OSS framework) with open SDKs and exportable configs. Here's when to pick each.
- Pipecat is a framework, not a product. You write Python, deploy it yourself, and build the surrounding plumbing (flow editor, billing, phone procurement, compliance) on your own. ThinnestAI is a managed platform that gives you all of that out of the box.
- ThinnestAI runs on LiveKit Agents (Apache 2.0 OSS). Our SDKs, prompts, datasource configs and agent definitions are exportable — you can lift them out and run on raw LiveKit. The managed orchestration layer is what we sell.
- For Indian businesses, Pipecat + a US team's English defaults won't give you Hindi/Hinglish quality, Vobiz number rental, DLT/TRAI compliance or INR billing. ThinnestAI gives you all of those on day one.
Pricing note
Pipecat itself is BSD 2-Clause licensed and free. Your real cost is engineering time (typically 6–9 months of senior engineering to build a production voice AI product on top) plus infra (compute, bandwidth, provider API spend) plus optional Daily.co hosting for the WebRTC transport. ThinnestAI is ₹1.5/min flat platform fee plus the ThinnestAI Stack landing at ₹3–4/min all-in — most teams find this cheaper than the engineering opportunity cost of the DIY path.
Feature-by-feature comparison
| Feature | ThinnestAI | Pipecat |
|---|---|---|
| Product shape | Managed platform (no infra, no engineering) | Framework — you self-host and build around it |
| No-code flow editor | Drag-and-drop flow editor | No — code-first only |
| Indian phone numbers | Native — Vobiz rental + Twilio/Plivo/Exotel BYOK, DLT-compliant | BYO Twilio, you wire DLT/TRAI compliance |
| Indian-language routing | Opinionated 22-language routing (Sarvam, Deepgram, Aero) | Pluggable, no opinion — you tune it |
| INR billing + GST invoices | Yes — Razorpay, GST-compliant | N/A — you build billing for your customers |
| Dashboards + observability | Activity tab with transcripts, recordings, evaluations | DIY — log to your own stack |
| Underlying real-time runtime | LiveKit Agents (Apache 2.0 OSS) | Pipecat pipeline (BSD 2-Clause OSS) |
| Code-level customization | Exportable SDKs + configs; deep tool/skill code | Full code control — write any pipeline |
| Open-source license | Platform is SaaS; SDKs are open | Fully open (BSD 2-Clause) |
| Vendor lock-in | BYOK at every layer; configs exportable to OSS LiveKit | Zero lock-in — it's your code |
You are an engineering team building a voice AI product company
- You have senior voice-AI engineers and 6+ months of runway to build the platform layer yourself.
- You need pipeline-level control — custom frame processors, novel STT/LLM/TTS routing logic.
- You are building a research prototype or a novel multimodal architecture where the pipeline abstraction is the point.
- You explicitly want to avoid any SaaS dependency and self-host the entire stack.
- Your customers are English-speaking and DLT/TRAI compliance is not your problem.
You are building for India or going global from India
- You serve Hindi, Marathi, Tamil, Telugu or any Indian-language audience.
- You need INR billing and GST-compliant tax invoices, not USD Stripe charges.
- You want native Indian phone number procurement (DLT-compliant via Vobiz / Twilio BYOK).
- You want to bring your own LLM / STT / TTS and mix providers per agent.
- A flat ₹1.5/min platform fee beats per-provider stacking for cost predictability.
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Frequently asked questions
Is ThinnestAI built on Pipecat?
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No — ThinnestAI is built on LiveKit Agents (also open source, Apache 2.0). Both are excellent OSS frameworks; we picked LiveKit for its production-grade WebRTC engine, best-in-class turn detection, and larger commercial backing. The choice between Pipecat and LiveKit is mostly stylistic for the framework user; for a managed-platform builder, LiveKit's real-time guarantees matter more.
When should I use Pipecat instead of ThinnestAI?
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When you're building a voice AI product company and have the engineering team for it. Pipecat gives you total control — you write every line of the agent pipeline. ThinnestAI gives you a managed platform with a flow editor, Indian phone numbers, Indic routing, INR billing, dashboards and compliance defaults. If your team's opportunity cost is higher than ThinnestAI's price, pick the managed path.
Can I migrate an agent from Pipecat to ThinnestAI?
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Yes. Prompts, tools and provider config carry over directly. The pipeline code itself doesn't migrate (we don't expose the Pipecat pipeline API), but the conceptual model is similar — STT → LLM → TTS with tool calls. Most teams rebuild the flow in ThinnestAI's drag-and-drop editor in a few hours.
Does ThinnestAI offer the same code-level control as Pipecat?
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Not at the pipeline level — we don't expose Pipecat-style frame processors. You can still write custom tools, skills, prompts and flow logic in code. For most production voice agents this is enough. If you genuinely need pipeline-level customization (novel STT routing, custom audio frame transformations, research-grade composition), Pipecat is the right tool.
Is Pipecat better than LiveKit Agents for Indian use cases?
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Neither framework ships Indian-market defaults. Pipecat and LiveKit Agents are both pluggable — you can wire Sarvam, Deepgram and Indian phone carriers into either. LiveKit Agents has stronger real-time WebRTC and a larger plugin ecosystem; Pipecat has a cleaner pipeline abstraction. For Indian businesses self-hosting, Bolna (Indian-language-first OSS) is often a better starting point than either.
How much does it cost to run Pipecat in production?
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The framework is free. Real costs: (1) infra — typically $200–$2,000/month for compute + bandwidth at startup scale; (2) provider API spend — STT/LLM/TTS pass-through at $0.05–$0.30/min depending on stack; (3) engineering — 6–9 months of senior time to build the surrounding platform. The third bucket usually dwarfs the first two.
Are ThinnestAI's SDKs open source?
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Our client SDKs (Python, JS, REST) are open and freely usable. Agent prompts, datasource configs, tool definitions and flow definitions are all exportable. The managed orchestration layer (multi-tenant billing, dashboard backend, no-code flow editor backend) is closed SaaS. If you want a fully OSS path you can lift the agent definitions and run them on raw LiveKit Agents.