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Theai, Inc. dba Inworld AI, Mountain View (US)How safe is Inworld AI for customer service?
The maker of Inworld AI publishes little about data protection. Ask before you put confidential customer service data into it.
Where does Inworld AI stand on customer service?
Shared place 36 of 52 options for customer service (professional tools and general assistants) on GDPR profile. 10 options, like Inworld AI's profile, are Unknown. Each tile is an option we follow for this field; click for the check.
Published safeguards
None of these three found in what the provider publishes; you can read what is there below. Is this your tool? Add the details
LLM inference via open models such as Gemma, GLM, DeepSeek and MiMo. Terms: no training of general models on non-public material; the privacy statement does mention use for training (contradictory). Speech in the US and the Netherlands among others, LLM serving in the US. SOC 2 Type II. You receive the rights to the output.
How to use Inworld AI safely
- Use the business variant and sign a data processing agreement (DPA).
- Do not enter unnecessary personal data into prompts; anonymise where possible.
- Ask the provider explicitly where data is stored and processed.
- Keep a professional in the loop: be transparent that customers are talking to AI and ensure a smooth handover to a staff member.
Stronger or equally strong in customer service
HeylohaCovalore B.V. (Utrecht, NL)TOPdeskTOPdesk (Delft, Netherlands)GfacilityGfacility Projects B.V. (Breda, Netherlands)HorecaHubAgyn Group B.V. (Amsterdam, NL)ParloaParloa (Berlin, Germany)Latest developments
Cloudflare reported that GLM-5.3 on Workers AI (@cf/zai-org/glm-5.3) returned data from other customers' requests in 27 answers between 9 August and 2026 September 155. Only prompts above 681,280 tokens were affected; the cause was a KV cache that was too small in the hosting configuration, not the model itself. Cloudflare found no evidence of misuse and fixed it on 9 September. If you used very long prompts containing personal data via Workers AI in that period, assess whether a data breach has occurred. source
On 21 August 2026, DeepSeek launched an experimental multimodal version of V4 Flash (V4-Flash-Vision-Exp) that processes text and images as input. The model is available exclusively via the hosted API (no open weights); calls are processed on servers in China. There is no EU adequacy decision for China, and DeepSeek has not published Standard Contractual Clauses for EU transfers. For applications where personal data is entered, including via images, such as invoices, patient documents or identity documents, direct API use is not GDPR-defensible. GDPR-compliant alternatives: (1) waiting for open weights and self-hosting on EU infrastructure, (2) use via Microsoft Azure AI Foundry with EU data residency (available for earlier DeepSeek variants). Price: $0.22/$0.66 per million tokens (off-peak), double rate at peak times. source
DeepSeek V4 Pro 0813 moved out of preview to general availability on 13 August 2026. The model (1.6T parameters MoE, 1M context window) is available via the official DeepSeek API at $0.435 per 1M input tokens, but DeepSeek has announced a significant price increase in the near future. GDPR relevance: the cloud API stores data in China; there is no EU adequacy decision. For business use: (1) EU self-hosting on open weights, or (2) use via Microsoft Azure Foundry (EU residency available since May 2026) are the GDPR-defensible routes. Direct API use by organisations in regulated sectors (healthcare, legal, financial) remains not recommended. source
Questions
- How safe is Inworld AI for customer service?
- The maker of Inworld AI publishes little about data protection. Ask before you put confidential customer service data in it. The provider publishes little on this, ask first before business use.
- Does Inworld AI train on my data?
- LLM inference via open models such as Gemma, GLM, DeepSeek and MiMo. Terms: no training of general models on non-public material; the privacy statement does mention use for training (contradictory). Speech in the US and the Netherlands among others, LLM serving in the US. SOC 2 Type II. You receive the rights to the output.
- What should I look for in AI for customer service?
- Be transparent that customers are speaking with AI and ensure a smooth handover to an employee. Protect the privacy of customer data in conversations.
Source documents
Everything about Inworld AI Best AI for customer service
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 8 November 2026 · How we check
Source: , checked on 8 November 2026
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