Spaceplace Is Heading to TechCrunch Disrupt 2026
On October 13–15, Spaceplace joins the Ukrainian startup delegation at TechCrunch Disrupt 2026 in San Francisco to show AI agents working with real business context.
From October 13 to 15, Spaceplace will be in San Francisco for TechCrunch Disrupt 2026. We are one of nine startups selected for the Ukrainian delegation. We are coming with one goal: to show how AI agents work inside real business operations.
What is TechCrunch Disrupt?
Disrupt is one of the best-known startup events in tech. Every year it brings founders, investors and industry leaders together in San Francisco, and this year it takes place at Moscone West.
The organizers expect more than 10,000 attendees and over 20,000 professional connections. Startup Battlefield, the event’s pitch competition, counts alumni who have raised a combined $32 billion.
Some familiar names started here
Many products people use every day first met the public on this stage:
- Mint launched at TechCrunch40 in 2007 and won the competition. Two years later, Intuit acquired it for $170 million.
- Dropbox launched publicly at TechCrunch50 in 2008.
- Trello launched at TechCrunch Disrupt San Francisco in 2011.
From early-stage products to companies used by millions, Disrupt has a long record of putting new ideas in front of the right people.
Part of the Ukrainian delegation
Spaceplace is one of nine Ukrainian startups selected for Disrupt 2026. The delegation is organized by the Ministry of Digital Transformation of Ukraine and the Ukrainian Startup Fund, with support from the Ukraine-Moldova American Enterprise Fund and YEP Accelerator.
We are proud to stand next to teams building in robotics, cybersecurity, agritech and defense tech. Ukraine first brought its own pavilion to Disrupt in 2022, and the delegation keeps growing in ambition. Ukrainian tech keeps building, shipping and competing on the global stage.
What we are bringing to San Francisco
Spaceplace is an AI agent operating platform for building, managing and scaling AI agents across an organization. It is one environment where people, agents and business context work together.
At Disrupt, we will show:
- Agents that do the work, not just answer. They reply to customers, qualify leads, book meetings and update records in the CRM, ERP, telephony and messengers a company already runs.
- Shared business context. Every agent draws on the same company memory, knowledge and rules, so a conversation that starts in one channel continues in another.
- Human control by design. Sensitive steps wait for a person’s approval, and every action is logged: who or what acted, when and on which rule.
- Real workflows, live. From an inquiry to a booked viewing, from a question to a resolved case, from a call to a scored conversation.
Who we want to meet
- Enterprise teams with one high-friction workflow they would like to hand to an agent
- Partners and integrators bringing AI into their clients’ operations
- Investors focused on agentic AI for enterprise operations
- Fellow founders, to compare notes on building AI products from Ukraine
See you in San Francisco
If you are at Disrupt on October 13–15, come and say hello. Want to book time with our team in advance? Get in touch and we will set up a meeting.
Follow Spaceplace on LinkedIn for live updates from San Francisco.
Relevant Articles
- 1 min read
What Is an AI Agent and How Does It Work?
Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.
- Use Cases
- Product Updates