Developers
Deterministic Analytics Platform for Regulated, High-Stakes Data
Chata.ai delivers a precision analytics architecture built for highly regulated environments, combining deterministic AI, strong governance, and cost-efficient deployment.
How Deterministic AI Guarantees Accurate Results in Data Workflows
At the core of Chata.ai is a deterministic inference engine trained on your database structure.
Unlike probabilistic language models that don’t provide consistent answers, Chata.ai generates explicit, executable queries that always produce reliable results.
Deployment Responsibility Models
Chata.ai supports multiple deployment responsibility models, allowing teams to choose the level of ownership that matches their internal capabilities and compliance requirements.
Customer-Managed Deployment
Deployment Location
Your infrastructure and codebase
Your environment or a secure managed setup
Model Training
Trained and maintained by your team using proofed model
Custom model trained by Chata.ai
Training Data Generation
Customer-generated
Handled by Chata.ai
Configuration & Customization
Full control
Guided and implemented by Chata.ai
Time to Production
Flexible, based on internal timelines
Accelerated
Best for
Teams with established data engineering practices
Teams optimizing for speed with minimal internal lift
ISO 27001 Certified
SOC 2 Type II Certified
Comparing LLMS VS Chata.ai VS Hybrid Approach
LLM
Chata.ai
LLM + Chata.ai
Hallucinates
Deterministic AI
Accurate, responses
Public Models
Custom Models
Flexible model architecture
Data Risk
Secure & Private
Enterprise-grade security
Limited Control
Turnkey Solution
Full control with easy deployment
High CPU $
500x lower CPU $
Optimized performance and cost
Secure Multi-Tenant Access & Governance
Chata.ai is built for customer-facing and internal analytics where thousands of users and tenants access shared infrastructure — without compromising isolation, permissions, or compliance.
Multi-Tenancy by Design
Logical isolation enforced at query, execution, caching, and audit layers
Tenant-aware schema, dataset, and semantic mapping
Scales securely across thousands of tenants from a single deployment
End-User Reporting with Row- and Column-Level Security
Native enforcement of row-level (RLS) and column-level security (CLS)
Permissions applied before query execution, not filtered after
Fully aligned with your data warehouse’s native security model
Identity Provider (IdP) Integration
Direct integration with enterprise IdPs
Supports SAML, OAuth, and OpenID Connect
Propagates authenticated user identity through query execution for true end-user governance
Governed Execution Built for Regulated Enterprises
Chata.ai provides the governed data-access product enterprises need to operate safely at scale.
End-to-end identity and authorization enforcement (SSO, RBAC/ABAC)
Policy-driven query validation
Centralized semantic layer for metrics, joins, time logic, and definitions
Source-of-truth traceability for every answer
Immutable audit logs, retention controls, and SIEM integration
Cost-Efficient Inference for Enhanced ROI
We use proprietary AI technology to rapidly train custom private language models for your data warehouse. AutoQL uses CPUs for inference vs GPUs needed with LLMs, which means enhanced ROI as you scale your data monetization projects, without sacrificing performance.
