Elastiq.ai provides an in-tenant agentic architecture that brings natural language analytics directly into enterprise infrastructure, allowing AI to operate on messy, real-world data without it ever leaving the firewall. Its Elastiq Discover product uses intelligent schema selection and context slicing to deliver accurate, multimodal answers across structured and unstructured sources, and can trigger automated workflows via secure API orchestration. The platform deploys in as little as 14 days, connecting to existing databases in place with no data migration required.
- Artificial Intelligence
- AI Agents
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Enterprise data environments are typically messy, with incomplete database definitions, missing foreign key relationships, ambiguous schema names, and bloated context that pollute AI outputs. Traditional AI analytics tools fail on this real-world data, producing hallucinated answers, slow responses, and high token costs, while sending sensitive data to third-party clouds creates security, compliance, and latency concerns.
Solution
Elastiq Discover provides an in-tenant agentic architecture that deploys entirely inside a company's firewall, bringing AI to the data rather than moving data to the AI. The platform ingests structured and unstructured data from databases, APIs, and SaaS tools, then uses intelligent schema selection to isolate only the relevant tables and columns for each question. It orchestrates pipelines across multiple systems—sequentially and in parallel—to answer complex business questions with multimodal outputs, including text, tables, and infographics. Beyond answering queries, Discover triggers workflows and executes business intent through secure API orchestration, turning insights into autonomous action.
Target Audience
Primary customers are enterprises with complex, messy data environments—including legal, security, and data engineering teams—that need private, production-grade natural language analytics and autonomous workflow execution without compromising data sovereignty.
Features
- Zero egress architecture: AI deploys inside the customer's VPC, ensuring data never leaves the firewall, with no egress costs and lower latency
- Intelligent schema selection: automatically identifies only the relevant tables and columns per query, reducing hallucinations, speeding response times, and lowering token costs
- Multimodal intelligence: ingests PDFs, text, tables, infographics, structured data, audio/video, and third-party APIs to deliver rich, context-aware answers
- Multi-system orchestration: connects to 30+ sources including Snowflake, BigQuery, PostgreSQL, Salesforce, HubSpot, Jira, Stripe, and Shopify, running pipelines sequentially or in parallel
- Schema enrichment and context slicing: handles incomplete DB definitions, missing foreign keys, ambiguous names, and schema noise to produce precise analytics
- Production-ready deployment in 14 days: dedicated engineering team handles onboarding, security integration, and go-live, with no data migration required