- SPECIMEN
New Dialogue
- FILED AS
Deploy a Private GPT Assistant for Your Team
- INTAKE DATE
- 2026-06-09
- CLASS
- Design
- METHOD
- desk research, filed before the Lab logged its counts
No dimension scores were recorded for this specimen, so no Koda Score is published. Read the verdict instead.
A sovereign AI platform that runs inside your own cloud environment, giving regulated teams ChatGPT-level capabilities without sending sensitive data to third-party APIs.
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The verdict.
New Dialogue is built for compliance-heavy organizations (finance, healthcare, legal, government) that need AI assistants but cannot tolerate data leaving their infrastructure. If your team has been blocked from adopting ChatGPT or Copilot because of regulatory constraints, this is one of the most straightforward paths to getting those capabilities deployed privately. The trade-off is opacity around pricing for enterprise deployments and a smaller ecosystem compared to Microsoft or Google's AI offerings, but for teams where data sovereignty is non-negotiable, it fills a real gap.
Pricing, straight.
Note: Earlier reports referenced a $99/month starting tier. The current website lists only a free trial and enterprise contact pricing. The $99 plan may have been retired or restructured.
$0
7 days
- Full platform access for 7 days
- All features included
- No credit card required (per site)
Custom
Contact sales
- Deployed within your own cloud tenancy
- Full feature parity with SaaS version
- Custom integrations and model selection
- Dedicated support and onboarding
Pricing as captured on 2026-06-09. Check the live site before you commit.
What it actually does.
Self-Hosted Deployment
Run the entire platform inside your own AWS, Azure, or GCP tenancy. Your data never leaves your infrastructure. This is the core differentiator and the reason regulated industries should pay attention.
No-Code AI Agent Builder
Design and deploy AI agents without writing code. Non-technical compliance officers or operations leads can configure assistants for specific workflows, reducing dependency on engineering teams.
Multi-Model Support
Supports commercial APIs (OpenAI, Anthropic), open-source models, and open-weight models like Llama and Mistral. You can swap models without rebuilding your agents, which gives you flexibility as the model landscape shifts.
Native Enterprise Integrations
Connects to Microsoft 365, Google Workspace, and other enterprise applications. Zapier integration extends this further for workflow automation, though the depth of native connectors is not fully documented.
Embeddable Chat Widget
Deploy AI chatbots on your intranet, internal tools, or customer-facing websites. The widget can be configured per use case, so your support bot and your internal knowledge assistant can run from the same platform.
Compliance-First Architecture
Built specifically for regulated industries. The platform is designed around data sovereignty, with secure handling of sensitive information and the ability to meet GDPR, HIPAA, and similar regulatory requirements through self-hosting.
Who it is for.
Compliance Teams in Regulated Industries
Financial services, healthcare, legal, and government organizations that need AI assistance for document review, policy checking, or internal Q&A but face strict data residency requirements. New Dialogue's self-hosted model directly addresses the "we can't use ChatGPT" problem.
IT Leaders Standardizing AI Access
If your employees are already using ChatGPT with company data (and they probably are), New Dialogue gives you a sanctioned alternative. Deploy it internally, control the models, and maintain audit trails. Better than pretending shadow AI isn't happening.
Operations Teams Automating Repetitive Work
The no-code agent builder combined with Zapier integration makes it practical for operations leads to automate document processing, internal support tickets, or knowledge base queries without waiting on engineering sprints.
Customer Support on Privacy-Sensitive Sites
Organizations that want an AI chat widget on their website but cannot risk customer data flowing through third-party APIs. Think fintech, healthtech, or legal services where every data touchpoint is scrutinized.
The honest part.
- Opaque enterprise pricing. The website offers no published pricing beyond the free trial. Earlier sources referenced a $99/month tier, but this is no longer visible. If you are evaluating this against competitors, you will need to get on a sales call to compare costs. That is a friction point for teams doing quick vendor assessments.
- Integration documentation is thin. The site mentions Microsoft, Google, and Zapier, but specific connector details, API documentation, and supported actions are not publicly available. You will likely discover the real integration depth only during the trial or sales process.
- No proprietary data training by default. The platform does not train on your data unless specifically requested and configured. This is a feature for privacy, but it means out-of-the-box agents will not have deep knowledge of your internal processes. Expect a setup and tuning phase.
- Smaller ecosystem and community. Compared to platforms like Microsoft Copilot, Azure OpenAI Service, or even open-source alternatives like Open WebUI, New Dialogue has a smaller user base. That means fewer community templates, fewer third-party tutorials, and more reliance on their support team.
- 7-day trial may not be enough. For enterprise teams evaluating a self-hosted AI platform, seven days is tight. You will need to move fast to test integrations, agent configuration, and model performance within that window. Ask about trial extensions during onboarding.
Evaluate New Dialogue.
Start with the 7-day free trial to test the platform against your compliance and deployment requirements.
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