One month ago we launched Ontora. Here's what happened

Our progress

- 5 enterprise customers as design partners (many more to come ;)
- 150+ inbound demo calls — we didn't do outbound, they came to us
- $700K raised before officially opening our round
- 80+ inbound VC calls already lined up for our fundraise

https://www.youtube.com/watch?v=vI8shNqqmRE

And we released our product live with our first customers !

1. Why companies are banging down our door:

Every company we talk to has the same story: they bought Claude licenses for their teams but merely use it to rewrite emails. The AI transformation stalled because nobody mapped what to actually automate.

That's the real bottleneck. Not code. Context.

A 800-person European media agency flew to San Francisco to meet us after realizing they'd need 4-5 months and a team of consultants just to understand their own operations. With Ontora, they can map their entire company in days.

2. What Ontora does for your company:

Ontora deploys AI agents that interview every employee in your company -- not once, but continuously -- to map out how work actually gets done. We turn that into a living context layer that your AI agents can act on.

What used to take a consulting firm 4 months and 50-100 manual interviews, Ontora does in days. And because interviews run continuously, your context layer never goes stale. Your organization keeps learning about itself.

Here's how it works:

1. Deploy -- Ontora's AI agents reach out to employees across your org through async interviews, meeting them where they work
2. Map -- Every interview extracts processes, decision rules, tools used, handoffs, and tribal knowledge into structured operational maps
3. Act -- The living context layer feeds directly into your AI agents and automations so they have the real-world context they need to perform

https://youtu.be/Culdmbt9uPE

3. Who's already using Ontora:

• A PE firm in San Francisco -- deploying Ontora across portfolio companies to drive operational efficiency at speed no consulting firm can match
• A major European media agency (800+ employees) -- building their corporate memory to manage enterprise customers like Volkswagen and Bosch
• A 1,000-person European roll-up -- mapping what their remote workforce actually does day-to-day to build a concrete AI automation roadmap
• A US facilities maintenance marketplace -- extracting the proposal rules and customer preferences locked in their sales team's heads to build the context layer for their AI automations

4. We want to hear from you:

• If your mid-market company (200-2,000 employees) is planning AI transformation...
• If your PE/VC firm wants to drive efficiency across portfolio companies...
• If your company spent 6 figures on consultants to map processes...

...we need to talk.

ontora.com/demo