Ontora

Competitive Intelligence & Product Roadmap

AI agents interview employees and map how work gets done.

Company Overview

Ontora is an AI research platform that interviews employees and turns tacit workflow knowledge into an operational graph. Serving industrial infrastructure (Vertiv) and targeting PE ops, consulting, and AI transformation leaders.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

What They're Building

The company's public product roadmap & what they're committed to building.

Interview campaigns

Ontora lets teams launch AI-led employee interviews at scale, with campaign goals, topics, contact import, and transcript export.

GraphRAG querying

The product exposes transcript and process knowledge through graph-based retrieval, returning answers, patterns, and dissenting views across respondents.

MCP access

Ontora can make its knowledge graph available to tools such as Claude, Cursor, Windsurf, ChatGPT, and internal systems through MCP.

REST API & CLI

The platform supports programmatic campaign control, transcript access, synthesis workflows, webhooks, and command-line usage.

Desktop assistant

Ontora has a macOS assistant for local audio capture, real-time meeting support, automatic meeting detection, and platform sync.

Competitors

Celonis:

Celonis maps operations from enterprise system logs, while Ontora starts with employee interviews and tacit process knowledge.

Skan AI:

Skan observes work across enterprise applications, while Ontora uses AI-led interviews to surface bottlenecks and handoffs.

Soroco:

Soroco maps human and agent workflows through work observation, while Ontora builds its graph from interviews, transcripts, and documents.

Qualtrics:

Qualtrics is broader employee experience software, while Ontora is focused on process knowledge, workflow mapping, and automation discovery.

Ontora

's Moat:

The candidate moat is proprietary data: each campaign builds a customer-specific operational graph that gets harder to replace as more workflows, transcripts, and documents enter it.

How They're Leveraging AI

AI Use Overview:

Ontora uses LLM interviews plus GraphRAG over transcripts and a Neo4j knowledge graph, so outputs are grounded in employee accounts rather than only system logs.

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