Ground GenAI apps
with enterprise data
LLMs don’t know your business
LLMs provide generic responses – they don’t know your customers, services, employees, and suppliers.
Most of the answers lie in your app data
The data in your business systems, like CRM, ERP, and Billing, is key to answering enterprise GenAI questions.
LLMs can generate false information
Without access to your business data, LLMs may hallucinate and damage your reputation and customer trust.
- 01 Text-to-SQL automation
- 02 Real-time data retrieval
- 03 Chain-of-thought prompting
- 04 100s of prebuilt functions
- 05 No-code agent orchestration
01Text-to-SQL automation
Dynamically transform any user prompt into SQL queries that retrieve the needed enterprise data for LLM augmentation.
02Real-time data retrieval
Retrieve fresh and compliant data from the Micro-Database, at conversational latency, and within required guardrails.
03Chain-of-thought prompting
Orchestrate chain-of-thought prompting and LLM reflection to maximize LLM response accuracy.
04100s of prebuilt functions
Pick and config the LLM functions your data agent will use. From basic API calls and data transformations, to sophisticated data parsing and analysis – we've got you covered.
05No-code agent orchestration
Build your AI data agents in minutes using our no-code Studio, which includes built-in testing and debug tools.
Data guardrails
Conversational latency
Responding to user prompts in millisecs to support operational GenAI use cases.
Trusted data
Controlled AI costs
AI scale
Reliable LLM responses
Telco | Customer service chatbot
RAG can elevate your users' chatbot experiences with personalized answers, and reduce your costs with higher first contact resolution rates.
Banking | Call center assistance
RAG can provide your call center reps with 360° customer views and real-time insights, for greater customer satisfaction and reduced call times.
Enterprise | Internal HR applications
RAG can inject employee data into your HR app to provide users with individually tailored responses about attendance, benefits, and vacation time.
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