Haptik X / LLM-augmented bot stack is a CX platform from Haptik (India).
One-line fit: best used for Support automation.
Key specifications
| Provider | Haptik |
|---|---|
| Model | Haptik X / LLM-augmented bot stack |
| Type | CX platform |
| Context window | Product |
| Pricing (indicative) | Enterprise |
| Company category | Conversational AI |
| Region | India |
| Official site | https://www.haptik.ai |
Benchmarks and public standing
Containment rate KPIs
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Support automation
This aligns with Haptik’s broader strengths:
- WhatsApp-first CX
- India vernacular bots
- Enterprise deployments
Limitations and watch-outs
Uses/partners foundation models
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Support automation
- Teams standardizing on the Haptik ecosystem
- Agent builders who need a CX platform
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Haptik – Jio-backed conversational AI for enterprise bots in India and global brands.
Related models from Haptik
Data is curated for AIForumSphere model directory mid-2026 directional figures.
