Nous AI provides a production-grade enterprise AI platform that delivers grounded, verifiable answers across an organization's documents, databases, and systems. The platform combines AI search with self-assembling knowledge graphs, natural language to SQL, and permission-aware retrieval, alongside workflow assistants and document intelligence tools that run real operations with deterministic guardrails. Every response includes citations, and the platform is model-agnostic, allowing teams to swap underlying models without rewriting anything.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to get reliable, trustworthy answers from their own data because knowledge is fragmented across documents, databases, and internal systems, each with different formats, permissions, and levels of freshness. Generic AI chatbots produce confident-sounding but unverifiable responses, and building production-grade AI systems that operations can trust daily requires solving complex issues around boundaries, safety, provenance, and resilience that most projects fail to address.
Solution
Nous AI provides a production-grade enterprise AI platform that delivers grounded, verifiable answers across everything an organization knows. The platform's AI Search uses self-assembling knowledge graphs to understand business context, a natural language to SQL engine for querying live structured data, and permission-aware retrieval that enforces access at query time. Workflow Assistants take multi-step operations end-to-end—extracting, validating, researching, drafting, and routing—with deterministic guardrails for exact calculations and human-in-the-loop review gates where judgment is required. Document Intelligence transforms raw documents like contracts, invoices, and engineering drawings into clean, structured, queryable data with field-level confidence scores and full audit trails. Every response includes citations linking back to its source, and the platform is model-agnostic, allowing teams to swap underlying models without rewriting anything.
Target Audience
Primary customers are enterprise organizations in regulated industries such as healthcare, finance, and legal that need trustworthy AI for search, document processing, and multi-step operational workflows, including operations teams, compliance departments, and knowledge workers who require verifiable, permission-aware answers.
Features
- Self-assembling knowledge graphs that map relationships between people, projects, policies, and parts to understand business context beyond keywords
- Natural language to SQL engine for freeform questions over live structured data, eliminating stale exports and analyst queues
- Permission-aware retrieval that enforces source-level access at query time, ensuring users only see what they are entitled to see
- Deterministic computational layer that computes numbers in code rather than predicting them with language models
- Citations on every response with confidence scores, enabling one-click verification of each claim
- Continuous content sync via connectors that keep indexes updated with CMS, drives, and databases automatically
- Workflow assistants with intelligent routing, deterministic guardrails, human-in-the-loop review gates, and decision reasoning logs for auditability
- Document intelligence with field-level confidence scores, redlines for human reviewers showing original/edit/reasoning, and full audit trails for compliance
- Model-agnostic architecture resilient to outages, rate limits, and API changes, with simulation-tested assistants before launch