JAICP Platform provides all tools and methods to design, train and deploy AI-driven chatbots and skills. A robust NLP engine runs on a combination of algorithms. It allows launching business-specific chatbots with high performance and great UX.
Full-cycle chatbot design framework
Synergy of STS-ML algorithms for training
Ultimate security and scalability
Up to 70% time saving on preliminary raw data exploration
Better accuracy of intent recognition
14 channels from Amazon Alexa to Zendesk
Key personas to profit from Just AI
The platform provides comprehensive tools for management & developers’ teams, linguists and analysts. It is a full-stack environment to launch enterprise grade chatbots and skills.
Efficient management of complex (over 400 states) conversational interfaces. Each state can be corrected. Add nodes and instantly test changes. This gives a detailed picture of a chatbot scenario and allows you to eliminate errors twice as fast.
JAICP DSL, a domain specific language for conversational flow development. It provides more lightweight and readable code for chatbot scenario. Just AI DSL allows JS embedding to implement complex business logic.
Use either internal platform storage or external VCS repository to store project source code.
Automatic (on commit) or manual deployment. Branch deployment for large projects with multiple channels.
Deployment logs are stored per each channel. Tests automatically run after deployment.
datasets and boosts AI-systems training
C.A.I.L.A (Conversational AI Linguist Assistant), a multilingual NLP engine, essential for linguists and developers.
C.A.I.L.A provides various algorithms to apply on specific datasets, which ensures high accuracy of semantic analysis and data clusterization.
Preliminary data analysis
Knowledge base construction
Domain entity modeling
Custom named entities
NLU models on top of
ML and deep learning
Commit knowledge base
Connect it to business logic or use for research properties
JAICP delivers outstanding results on Parafraser (RUS) и STS Benchmark (EN). On the fly supervised learning, no need to rebuild the NLU model.
Top-level performance on SNIPS dataset. Both supervised and unsupervised learning approaches.
Best for refining STS or STS-ML results. Use JAICP DSL for easiest pattern description.
Agile integrations with external platforms
Live chat apps
Analytics and BI tools
chatbot cognitive skills training
JAICP allows looking through dialogs between AI-system and customers. Various filters are available.
AI-assistant’s replies markup
You can use built-in or custom tags to labeling dialogs according to the domain logic. Incorrect replies are helpful to enhance NLU classifier accuracy.
and customized reports
Statistics dashboard allows controlling chatbot performance and collecting dynamic data on how customers interactions have changed.
Insights based on behavior
Reports like “Transfers to a live agent” and “Customer paths in dialogs” give a clear view of the chatbot’s weak points and help to improve it.
JAICP is enabling customizable reports that will reveal KPIs according to your business plan. StatAPI connection provides data export to PowerBI.
either on-prem or in the cloud
Efficiency in the cloud
Secure and scalable service with declared SLA. Several geographically distributed data centers.
On premise delivery
Several hardware configurations to match certain load pattern. High load adopted architecture – single instance performs 400rps and 10M MAU. Horizontal scaling & load balancing capabilities.
Ultimately safe management
Enterprise class control over users roles. Assign roles and limit access to one user or a group. Role matrix can be configured per account.
Contact center voice
Website virtual assistants
HR bots for interviews and
for smart speakers