Are you a NLU engine?
  • HumanFirst is not an NLU engine, but rather a centralized data layer on top of existing conversational AI platforms that makes it easier to discover, build, train, maintain and refactor intents and their training data.
  • HumanFirst is platform agnostic in regards to the NLU engine you are using.

What languages do you support ?
  • We support 16 languages
  • Arabic, Chinese-simplified, Chinese-traditional, English, French, German, Italian, Japanese, Korean, Dutch, Polish, Portuguese, Spanish, Thai, Turkish, Russian

Data & Integrations#

How do you integrate with NLU engines?
  • We integrate with Rasa & DialogFlow via our command line integration.
  • Cognigy & Luis integrations are coming soon.

Where do you get suggestions from?
  • Studio suggestions are not generated, they are taken out of your imported conversational data (utterances or full conversations).

What are your data sources?
  • Utterances data import via .txt file, .csv or .json
  • Two way conversations data import via .csv files or .json

Do you have templates for common intents hierarchy / taxonomy with public data?
  • We are currently working on templates and exposing public / demo datasets
  • You can also reuse intent hierarchies from your other workspaces within HumanFirst Studio.

Machine Learning#

How does HumanFirst handle grammatical mistakes?
  • Our system tolerates typos and mistakes because it uses sub-word tokens that will be resilient to typos and grammar errors.

How do we get metrics / F-score / perplexity metrics ?
  • Our pipeline does a stratified k-fold split and extracts key metrics for workspaces (f1, precision, recall).
  • On top of that, we do plan to expose even more active learning features to streamline intents training process even more.

Can we manage multiple bots/agents structure?
  • We have the concept of a workspace in which you can develop your intents structure. You can create multiple workspaces in a single account, which can be used to manage different projects within the same organization.
  • Conversational data can be shared across multiple workspaces.
  • For companies managing projects for various clients, HumanFirst allows for distinct namespaces unique to each organization/client.

Deployment and Privacy#

How is the application deployed at a customer premise?
  • HumanFirst studio is a hosted solution. On premise deployment is also available, please let us know if this is necessary for you.

What’s the data privacy policy?
  • The gist of it is that you remain in full control of your data. Take a look at how we manage data in our Privacy policy.

How secure is your application?
  • The 2 co-founders were part of a password management company (PasswordBox) acquired by Intel Security - we apply top security practices throughout our application.

Data Privacy#

What happens to the data I upload?
  • Data uploaded to HumanFirst is stored under Google Cloud's infrastructure. Our data pipeline processes the uploaded file and creates derived representation that can power features like semantic search and recommendations. Data is always encrypted at rest using the AES-256 cipher, and industry-standard security best practices are followed. For more information about Google Cloud's security practices, visit https://cloud.google.com/security

Who can see the data I upload?
  • When you sign up, you are asked to create an organization, you can then invite teammates to this organization in order to share workspaces and unlabelled data sets. People you invite can immediately interact with the data in your organization. You can also revoke access at any time by deleting the user from the user management section.

If I delete an uploaded file, is it really deleted?
  • Utterances and conversation files are immediately deleted following the action from the user interface. Some components of our infrastructure maintain cached copies of the data in order to provide fast access to recommendations and search results - it may therefore take a few minutes before deleted data disappears from a workspace. Automated backups to prevent accidental data loss are kept for an additional 30 days and are automatically cleaned up without needing manual intervention.

Are you using my data in other ways?
  • We will from time to time run algorithm benchmarks and monitor the quality of recommendations provided in order to improve the service. In no case whatsoever do we make your data available to any third parties.

How is PII handled?
  • We expect PII information to be redacted from the uploaded contents, if you notice that you have accidentally uploaded PII data, simply delete the affected file. If you legally require some confirmation of deletion, we will gladly provide one upon request.