How does ChatAible prevent AI hallucinations?

ChatAible employs a deterministic approach by tracing Language Model output back to source data and using a second model to generate SQL queries that provide a statistical 'gut-check' of the primary response.

Can I use ChatAible with my own documents like PDFs?

Yes, ChatAible supports blended datasets, allowing users to ask questions that span disparate document types including PDF, CSV, URL, and Markdown.

Is my data secure with ChatAible?

Absolutely. ChatAible is designed for the enterprise, allowing for deployments within your own Virtual Private Cloud (VPC) or even on local desktop hardware to maintain strict data privacy.

How long does it take to implement ChatAible?

Aible claims a total implementation time of as little as 15 minutes, with the ability to go from raw data to insights in hours.

Does it require data science expertise to use?

No, it is a no-code/low-code platform built for business users and analysts to get results via a chat interface without needing deep technical knowledge.

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Data analysis

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ChatAible

ChatAible provides secure, enterprise AI insights by combining natural language chat with automated data analysis, hallucination double-checks, and support for structured and unstructured data.

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Rating

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3 months ago

Listed

Data analysis

Business Intelligence

Generative AI

Predictive Analytics

Augmented Analytics

Enterprise AI

No-Code AI

Data Visualization

Tool information

Provider

Aible

Platforms

Web-based

Windows

macOS

Cloud (AWS, GCP)

Private VPC

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Contact

About ChatAible

What the tool does and who it's for

ChatAible is an enterprise-grade generative AI platform designed to bridge the gap between complex data analysis and actionable business insights. It combines Natural Language Query (NLQ) with explainable AI to allow users to ask questions of their structured and unstructured data in plain English. Unlike standard LLMs, ChatAible uses a dual-model approach: one to understand the query and another to generate broad SQL queries that provide statistical context, effectively double-checking for hallucinations. It supports massive datasets, automatically performing 'What’s Changed' analysis to pinpoint KPI shifts and offering automated prompt augmentation to ensure accuracy across various cloud environments including AWS, GCP, and private VPCs.

Key capabilities

Dual-Model Verification: Uses one model for answers and another for broader SQL context to eliminate hallucinations.

Structured & Unstructured Data: Analyzes everything from CSVs and databases to PDFs, HTML, and Markdown files.

Automated KPI Analysis: Automatically detects shifts in business behavior and explains the 'why' behind KPI changes.

Secure Deployment: Runs in a customer's own Virtual Private Cloud (VPC) or locally on desktop to ensure data residency.

Few-Shot Learning: Quickly improves model accuracy by learning directly from end-user feedback and thumbs up/down ratings.

Generative AI Dashboards: Combines traditional dashboard views with NLQ for flexible, conversational data exploration.

Automated Dataset Discovery: Identifies relevant datasets based on user queries without manual metadata mapping.

Multi-Cloud Support: Seamlessly scales across AWS, Google Cloud, and NVIDIA DGX Cloud environments.

Pricing

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ChatAible FAQs

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